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03 Dec 10:05

Liens vagabonds : Netflix, gagnant contesté de toute part !

by Méta Media

A retenir cette semaine :

#Netflix : après un premier Lion d'or décerné au film Roma à la Mostra de Venise en septembre dernier, Netflix décroche cette fois trois Oscars, mais pas le meilleur film. Une distinction qui fait débat dans le monde du cinéma. Quelle légitimité a la plateforme ? Dans un article de la Harvard Business Review, les auteurs estiment que « Netflix n'est pas une firme qui vend tel ou tel film à de nombreux clients. Elle vend de nombreux films à telle ou telle personne, sous forme de forfaits ». On est bien loin de l'économie du cinéma

Sur le terrain de la SVOD, Netflix fait face à un nouveau concurrent en Europe : la BBC s'allie à son concurrent privé ITV en lançant une offre à £5 par mois pour investir ce marché en plein essor. Il est vrai que les derniers chiffres de croissance de l'entreprise de Los Gatos ont de quoi impressionner. Rien qu'en France, l'application Netflix a été téléchargée plus de 10 millions de fois en 2018, juste devant le Royaume-Uni. En terme de revenus, c'est l'Allemagne qui rapporte le plus avec plus de 35 millions de dollars générés. Pourtant, la plateforme pourrait gagner encore plus. Netflix perdrait ainsi 192 millions de dollars par mois à cause du partage de comptes. En attendant, un nouveau service extérieur joignant l’utile à l’agréable est possible sur la plateforme : il y est désormais possible d'apprendre une langue étrangère.

Aussi cette semaine :

Après l'annonce du Président Abdelaziz Bouteflika qu'il souhaiterait briguer un cinquième mandat, l'Algérie fait face à un fort mouvement de contestation. Alors que des journalistes étaient venus couvrir un rassemblement contre la censure, certains d'entre eux ont été interpellés, et incarcérés. Pierre Haski, Président de Reporters Sans Frontières fait état d'une « vraie bataille de l'information ».

Les difficultés économiques des médias s'étendent désormais aux agences de presse : après l’AFP, Reuters va supprimer 25 postes de journalistes en France

Les Etats-Unis commencent à penser qu’il faudrait renforcer l’arsenal législatif pour protéger la vie privée.

3 CHIFFRES

LE GRAPHIQUE DE LA SEMAINE

Infographic: Netflix's Growing European Audience | Statista
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11 Nov 14:34

How Crypto Payments Help to Avoid Commissions and Save Money, Explained

by Cointelegraph By Elijah Bradley

As cryptocurrencies become more and more mainstream, using them instead of fiat or banking transfers is sometimes more profitable

09 Sep 20:31

Why CRM Projects Fail and How to Make Them More Successful

by Scott Edinger
PM Images/Getty Images

In 2017, CIO magazine reported that around one-third of all customer relationship management (CRM) projects fail. That was actually an average of a dozen analyst reports. The numbers ranged from 18% to 69%. Those failures can mean a lot of things — over-budget, data integrity issues, technology limitations, and so forth. But in my work with clients, when I ask executives if the CRM system is helping their business to grow, the failure rate is closer to 90%.

The primary reason they miss the mark in helping companies increase revenue is that CRM systems are too often used for inspection — to report on progress, improve accuracy of forecasts, provide visibility, predict project delivery dates, and provide a range of other business intelligence — rather than creating improvement in the sales process. Front-line sales professionals and managers rarely find the majority of these capabilities useful in winning more business for the company.

CRMs today also serve a lot of masters, from executives in the C-suite, technology, marketing, finance, and, oh yeah, sales. They try to address more objectives than are reasonable for any software system. I recently led a working session for a team of executives looking to select a CRM provider. By the time everyone weighed in on their must-haves, we had identified 23 unique objectives. With such a diluted focus, it’s virtually impossible to succeed.

I saw this clearly at another client where there was a wide range of answers to the question, “Was the CRM implementation a success?” The EVP of marketing was pleased she could now track the assignment of every single lead. The CIO was unhappy about data integrity issues that arose from the integration of more than 20 discreet databases. The EVP of sales liked the easy-access dashboard to report on metrics and the forecast. Sales management was less positive but acknowledged that it helped them monitor activity. And the sales team — well, they mostly hated it. They had to enter a lot of information that added little value (for them), and provided no help in selling more. Because the sales team had so little incentive to keep up with the data entry requirements, the quality of the data in the system became less and less reliable over the following year. The result? Incomplete or inaccurate information from the CRM was exported into Excel spreadsheets for further manipulation by each level of management.

If you want your CRM implementation to increase revenue (which it only will if it enables your sales organization to increase sales), I recommend doing the following:

Re-think your CRM as a tool to increase revenue. Period. That is why you bought this system and spent millions, sometimes tens of millions, on its deployment. Broadcast this message loud and clear from the CEO and sales leadership. Your sales team needs to understand that they drive the execution of your strategy every time they interact with a client or prospect. Your implementation of a CRM system is not about the technology, and it is not to fulfill an administrative reporting requirement, which is how too many sales teams view them. The CRM is a tool to help them sell more, access support resources during sales cycles, and manage their territory or “book of business.” If the sales team recognizes the value of this tool, you’ll get all the metric and forecast information you desire. If not, you’ll be back to modifying guesses in Excel spreadsheets.

Integrate your marketing efforts with sales activity. Historically, these two functions collaborate on CRM implementation so poorly it’s almost a cliché. Marketing blames sales for not following up on all the leads produced. Sales points out that marketing doesn’t understand field reality and truly qualified leads. Overcoming these interdepartmental squabbles requires a collaborative effort by both teams throughout the sales process. Early in the sales cycle, marketing and sales have roles to play in identifying and qualifying opportunities to actively pursue. As sales cycles develop, they should have a shared understanding of what constitutes a qualified lead, as well your ideal customer profile — both in terms of the company and level of buyer. This helps filter out business you shouldn’t pursue. Later in the sales cycle, marketing works with sales to create materials that can be customized to client objectives and case studies, instead of the generic collateral sales teams often see as low value. Finally, working together on win/loss analysis provides an active feedback loop for joint planning and addressing future needs. This kind of integration, using your CRM as the glue, will improve marketing’s efforts to create gravity with prospects, and sales’ ability to accelerate sales cycles. It’s an advantage for the business if you can use at least some of the same metrics to evaluate the success of both departments.

Managers provide coaching to improve, not reporting to inspect. The pivotal role in driving CRM success is not individual sales people. It’s sales management. They will determine how the sales team uses and experiences the CRM. If they use it solely to check on the amount of activity, call volume, or other measures of efficiency, it’s of low value to the sales team and likely be rejected or filled with fictional data. Instead use it as a tool to jointly create strategies for major opportunities, and help the sales team to maximize opportunities by coaching them throughout the sales process. I’ve written in the past about the high value of coaching and the fact that it’s rarely done well. But CRM can be a powerful mechanism to support coaching for individual sales calls, as well as opportunity, account, and territory management.

CRM is an important tool, but it is just a tool. When the laptops are shut down for the day, it’s your sales team that is responsible for bringing value to clients and driving revenue. Implement your CRM with that in mind and you’ll be pleased with your ROI.

09 Sep 20:28

How to Choose Your First AI Project

by Andrew Ng

Pick a quick win to build internal support.

09 Sep 20:18

Do Your Data Scientists Know the ‘Why’ Behind Their Work?

by Thomas C. Redman

If not, is it their fault — or yours?

31 Jul 22:14

How Artificial Intelligence is Transforming Clinical Trial Recruitment

by Iman Ghosh

How Artificial Intelligence is Transforming Clinical Trial Recruitment

How AI is Transforming Clinical Trial Recruitment

The medical world is shifting underneath our feet.

To keep up with the rising demands of empowered patients, physicians and pharma businesses regularly test innovative treatments and medicines during rigorous clinical trials.

But one misguided move can trigger a domino effect, such as when the wrong patients are selected for a clinical trial.

Today’s infographic comes to us from Publicis Health, and it highlights why the current model of clinical trial recruitment urgently needs to change.

The Cost of Clinical Trials

Clinical trials help to determine if a new treatment, drug, or device is safe for the larger patient population.

Patients are at the heart of these clinical trials, and poor patient recruitment has dire consequences:

  • 50% of sites enroll one or no patients in studies
  • 85% of clinical trials fail to retain enough patients
  • 80% of all clinical trials fail to finish on time

A single trial can cost anywhere from $44 million to $115 million. But here’s the kicker – according to a CenterWatch survey, delays can cost a trial between $600,000 and $8 million per day.

For these reasons, it’s crucial for pharma trial sponsors to find the right fit for clinical trials from the start.

A 360° View

The healthcare industry is moving towards a people-based marketing approach, to discover and engage the right patient one-on-one.

Advanced technology and connected patient data work in tandem with millions of real-time consumer behaviors, creating a rich and accurate profile of the perfect patient match.

The use of artificial intelligence, machine learning, and predictive analytics unearth further insights, weighting those patients with the behavioral tendencies most suited for the trial:

Omni-channel targeting
Actively reaching out to patients, wherever they are.

Predictive analytics
Continually refining media channels and messaging to further patient interest.

Ongoing communications
Nurturing relationships with patients, starting with the initial outreach.

Transforming Value

Applying a people-based approach to patient recruitment has a myriad of benefits, many of which live on long after the original trial’s completion.

  Advantage Value added
Recruitment - Accurate insight generation
- Real time optimization
- Faster and improved quality
- More efficient
- Increased conversion
- Reduced costs
Engagement - Behavioral-based messaging
- Personalized trial participation experiences
- Precise engagement at scale
- Drives patient adherence and retention during a trial
Long-term benefits of data collected - Develops patient profiles for future trials
- Guides the planning of the patient demographic
- Informs drug launch activities
- Accelerates recruitment and reduces start-up costs
- Speeds up commercialization of new drugs
- Supports disease awareness and educational campaigns

As clinical trials are successfully completed on time – allowing new drugs to reach the market faster than before – patients will benefit from easier access to groundbreaking treatments.

This is part five of a seven part series. Stay tuned by subscribing to Visual Capitalist for free, as we wrap up with the final two transformative forces shaping the future of healthcare.

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06 Jul 18:46

Visualizing the Healthtech Revolution

by Iman Ghosh

Imagine being a patient in the early 19th century, when all ailments were considered “humors” to be ejected from the body. To restore balance, various techniques such as diets, natural herbs, or bloodletting with leeches were used – the only “technology” available at the time.

Even when the basic structure of modern medicine came into place, the average life expectancy was just 34 years old in 1913. A patient from that era would surely be amazed by the leaps and bounds that healthcare has undergone since then, thanks to the influence of technology.

The Healthtech Revolution

Today’s infographic dives into some of the technological advances that are pushing the boundaries of modern healthcare, and what this could mean for the sector.

The HealthTech Revolution

What is Healthtech?

Healthcare technology, or healthtech, is the use of technology to better treat patients. Many such inventions have been credited for saving countless human lives since the 1800s.

Medicines, devices, procedures, and even organizational systems contribute to expanding life expectancy and improvements in quality of life.

From Fiction to Reality

Breakthroughs such as robotic arms, 3D bio-printed organs, and virtual reality for pain relief are being developed in the medical sector, drawing influences from the big screen.

Technologies that were once the staple of science fiction movies are rapidly becoming realities.

— Jeroen Tas, Chief Innovation Officer, Philips

But there’s a less tactile application of technology from science fiction that will arguably have an even bigger impact on healthcare: artificial intelligence (AI).

By recognizing patterns in behavior and creating their own logic, machine learning algorithms are set to transform various aspects of healthcare ranging from the automation of mundane tasks to the creation of entirely new drugs.

Healthcare at our Fingertips

Healthcare is also getting more mobile and connected, putting the Internet of Things (IoT) and mobile health (mHealth) at center stage as sources of potential disruption.

These technologies can help in everything from offering patients a convenient way to book appointments and pay bills online, to allowing doctors to use electronic health records to access and share information.

Wearable devices and smartphone apps are spiking in adoption as they unlock the option to monitor and manage individual health anytime, anywhere. This is creating an explosion in personal health data, which consumers are willing to share with their doctor if it will benefit them or others.

The Coming Healthtech Boom

Artificial intelligence, IoT, and mHealth are contributing to rapidly expanding healthtech sector, and each are expected to experience rapid growth by 2025:

Healthcare segment Current* Projected (2025E) CAGR
Artificial Intelligence $2.1 billion $36.1 billion 50.2%
Global IoT $120.2 billion $543.3 billion 20.2%
Global mHealth $4.16 billion $111.8 billion 44.2%
*2018E for AI, 2017 for IoT, 2016 for mHealth.

While healthtech won’t replace your doctor anytime soon, but it will certainly change your experience with healthcare – both on the front-end and behind the scenes.

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26 May 17:25

Little Lamp To Learn Longer Leaps

by Roger Cheng

Reinforcement learning is a subset of machine learning where the machine is scored on their performance (“evaluation function”). Over the course of a training session, behavior that improved final score is positively reinforced gradually building towards an optimal solution. [Dheera Venkatraman] thought it would be fun to use reinforcement learning for making a little robot lamp move. But before that can happen, he had to build the hardware and prove its basic functionality with a manual test script.

Inspired by the hopping logo of Pixar Animation Studios, this particular form of locomotion has a few counterparts in the natural world. But hoppers of the natural world don’t take the shape of a Luxo lamp, making this project an interesting challenge. [Dheera] published all of his OpenSCAD files for this 3D-printed lamp so others could join in the fun. Inside the lamp head is a LED ring to illuminate where we expect a light bulb, while also leaving room in the center for a camera. Mechanical articulation servos are driven by a PCA9685 I2C PWM driver board, and he has written and released code to interface such boards with Robot Operating System (ROS) orchestrating our lamp’s features. This completes the underlying hardware components and associated software foundations for this robot lamp.

Once all the parts have been printed, electronics wired, and everything assembled, [Dheera] hacked together a simple “Hello World” script to verify his mechanical design is good enough to get started. The video embedded after the break was taken at OSH Park’s Bring-A-Hack afterparty to Maker Faire Bay Area 2019. This motion sequence was frantically hand-coded in 15 minutes, but these tentative baby hops will serve as a great baseline. Future hopping performance of control algorithms trained by reinforcement learning will show how far this lamp has grown from this humble “Hello World” hop.

[Dheera] had previously created the shadow clock and is no stranger to ROS, having created the ROS topic text visualization tool for debugging. We will be watching to see how robot Luxo will evolve, hopefully it doesn’t find a way to cheat! Want to play with reinforcement learning, but prefer wheeled robots? Here are a few options.

16 Apr 20:34

TeslAtari 🕹

by Tesla

TeslAtari updates inbound! Look for Super Breakout and more in the latest software update which will begin rolling out later this week https://ts.la/designyours
16 Apr 18:41

Creating a Marketing Persona: Influencers Matter

by Michael McNichols

Every marketer should take a moment and consider who their audience is. Who are they trying to reach? How? And why? You might have a huge and diverse consumer base to look at, but you can break them down into segments. Then based upon the characteristics of each segment, you can create a sketch, or a persona, that stands in for that segment. They act as their representative and avatar when you draw up your content marketing plans and strategies.

By creating a marketing persona, you can view that whole segment as a person and put yourself in their shoes. You can ask what keeps them up at night and what pain points do they experience as a part of their job. By breaking a whole segment down into a persona, you can see them more as a person, whom who deserves your empathy and help, rather a huge, disparate group. You have the product and services they need, and you can focus on properly reaching them with that message and connecting with them.

Essentially, a marketing persona allows you to create content that is both relevant and useful to that segment.

What, however, goes into crafting a marketing persona?

 Data, Data, Everywhere

As with almost everything that is marketing related, it comes down to data. The more you know about your audience the better you can craft marketing personas that represent them and can help you create content that can solve their business problems.

Parse through the data you have collected on your prospects and customers.  What are their:

  • Preferences and interests
  • Job titles and responsibilities
  • Age, gender, salary
  • Education, family, and other background information

That is all more general information. If you have any data on your customers’ hobbies, the blogs they read, the news sources they prefer, the types of content that better engage them, how good they are with certain types of software, and the social media channels they use, it can all create a stronger persona.

Once you have put all that information together into a sketch of a person, ask yourself:

  • What challenges do they face at their jobs and what must their goals be?
  • What values do they hold?
  • What fears do they possess? What annoys and irks them?
  • What do they not like about the sales process and what might they be worried about if they are seeking a new solution? What would stand out to them and impress them?
  • Most importantly of all, how can your services help with all of that?

The answers to those questions can all mix and stir together into what your marketing message to that persona is. Quite simply, your message should tell them what you can do for them, how it solves their problems, and how they benefit.

The next step then involves you making your pitch to them. What is the best way you can convey your message to a persona? How can you reach, connect, and engage them? Each persona is going to be slightly different, but the data will indicate the best way to go about marketing to each.

How Many Personas? And When to Market to Each?

You might wonder just how many personas you should create. Most generally consider three to five personas to work well, as they would cover your whole audience but also allow you to dive deeper into specificities about each segment via their persona.

Here are two persona examples: Mary the Marketer and Chad the CMO.

They both work together. Chad is Mary’s boss, and he is the one who signs off on any invoice and makes the final decision on what the company involves itself with and what software, solutions, and services it will invest in.

Mary, though, works with marketing software every day. She’s down in the trenches, crafting content strategies and organizing campaigns. She knows what software works best for her and her team. She knows the problems they encounter every day, and a solution that helps with that speaks to her.

Chad trusts Mary and values her opinion. If she tells him about a solution that would do a world of good for her and her team, Chad is going to listen. Mary then is an influencer. She influences decisions, because of her knowledge and experience.

Of course, Chad might be interested in solutions too, but might not have the time with his responsibilities to look at solutions. On occasion he may. In fact, he might actually bring a solution to Mary to garner her opinion on it.

Still, certain marketing campaigns might be better served focusing on Mary more than Chad, she being an influencer  they may have a better chance of reaching and engaging. A marketing campaign shouldn’t shut the door on any marketing persona, but they need to know where to properly and more wisely invest their time. In this instance, it would be mostly with Mary the Marketer and influencer but not always.

If there is a way to reach Chad as well, however, go for it. Keep all your options open, but bear in mind that he will have a different perspective and different concerns than Mary, so content should be better geared toward that end.

Learn how Eloqua can step up your content creation efforts with “A Brave New World – Create Beautiful, Responsive Content with Eloqua.

Read the blog

07 Apr 21:32

Facebook’s algorithm makes some ads discriminatory—all on its own

by Jeremy B. Merrill

Facebook built its lucrative advertising enterprise by showing businesses’ ads to just the right set of potential customers. But a new academic finding threatens the heart of that, showing that Facebook’s algorithms can steer some job ads in ways that are discriminatory—even when the advertisers weren’t trying to reinforce stereotypes about gender in the workforce.

The group of researchers, from Northeastern University, the University of Southern California and digital civil rights advocacy group Upturn, ran ads advertising jobs openings in the lumber industry and for preschool teachers to gender-balanced audiences. Facebook nevertheless mostly led men to the lumber ads and mostly showed women the preschool teacher ads.

Facebook offers granular options for advertisers to choose who should see their ads, ensuring a brand like Huggies could send its ads to new parents and political candidates can ask for money from their supporters. But even after advertisers choose everyone who could potentially see their ad, Facebook opaquely chooses who actually does, based partially on how likely Facebook’s artificial intelligence algorithms predict that each user is going to click on it.

Facebook said in a statement, “We’ve been looking at our ad delivery system and have engaged industry leaders, academics, and civil rights experts on this very topic—and we’re exploring more changes.” It said its recent changes meant to combat potentially-discriminatory choices by advertisers were “only a first step.”

In a separate finding of the study, ads for houses for sale—again targeted to have identical potential audiences— were directed mainly to white people, while ads for rentals were shown primarily to black people.

Automated but unintentional discrimination was a perhaps inevitable consequence of the tech industry’s favorite formula for maximizing “engagement.” Algorithms like this are designed to show you similar content to whatever content that “people like you” have read or clicked on or bought or listened to, and to do that for all content. That can be helpful when it leads to automatically advertising razor blades to new razor purchasers, or recommending Ariana Grande songs to Justin Bieber fans.

But using these algorithms on things that are highly regulated (like job ads) and “people like you” replicates sensitive offline groupings, like race and gender, could send the modern web’s fundamental formula toward a reckoning. When an algorithm “learns” a pattern that more men than women are interested in lumber industry jobs (even if it doesn’t know their gender and learns that by correlating other information about a person’s likes and habits), then what the system is doing is deciding not to show those job ads to other women, solely because they’re women. That’s problematic, recreating stereotypes, “boys’ clubs” and societal barriers that have existed long before software.

Facebook has already been settled a lawsuit for a separate issue: offering discriminatory options for targeting ads to advertisers who chose to show ads for, among other things, sausage-making jobs just to men. It agreed to remove those options in March. And just last week, Facebook was sued by the US Department of Housing and Urban Development, both for offering discriminatory targeting options and for the automated discrimination that this paper shows can exist.

In legal documents related to those lawsuits, Facebook described its advertising system as a “neutral tool”—a claim that’s challenged by this research paper. If Facebook is contributing to discriminatory advertising on its platforms, that could endanger its legal immunity under a US law foundational to the internet—section 230 of the Communications Decency Act—that protects internet businesses from being sued over the illegal activity of their users.

The researchers carefully constructed their study to try to discover whether Facebook’s algorithmic decisions were the cause of the gender-biased audiences for ads. To test this, they ran ads with images of either stereotypically male or female things, but with the images made almost entirely transparent; they’d appear all white to humans, but computers could still “see” the underlying image. Facebook still steered the ads with these modified images to specific audiences: ones containing, for instance, football went to men, and makeup supplies to women. That effect could not have occurred based on human reactions, since the photos appeared the same to humans.

The researchers caution that they haven’t been able to prove that Facebook’s algorithm would affect how any job ad was disseminated, since they can only see the results for their own ads, with potential audiences created under their carefully controlled conditions. While ads for some jobs they created were delivered to a roughly even mix, like artificial intelligence developers and lawyers, those for the preschool teachers, janitors and others had a skew worse than three people of one gender to one of the other. Ads for jobs in the lumber industry were seen by more than nine men for each woman.

To measure the difference between who could’ve seen their job ads and who actually did, the researchers constructed their ads’ potential audience to be evenly split between specific men and women in North Carolina (using public records that includes gender), then used Facebook’s existing tools to see the gender breakdown of who actually saw the ads.

Facebook calculates the gender breakdown for the audience of every ad in its system, but only shares that data with the advertiser. So, how often does Facebook’s ads system transform ordinary job ads into discriminatory ones? The public has no way to find out.

16 Mar 00:49

Blockchain Transformation Playbook

by Iftikhar Alam

Blockchain is transforming the financial industry, unlike anything we have seen before. The concept has been in the making for decades but it was not until the boom of cryptocurrency, Bitcoin.

It looks like, the world is still adjusting to the surprise growth of blockchain. More regulations are in order and the vision for the future seems to have an important role for blockchain.

According to Forbes, large businesses and enterprises are not just exploring blockchain, but now implementing it. In simple words, businesses are looking for the blockchain transformation from traditional technology to the blockchain.  

Future of Blockchain

Experts are predicting bright future for the industry. The global market value of the blockchain industry was mere $411 million, that is expected to reach around $8 billion in the next three years. In 2024, the blockchain market is expected to reach $20 billion.

According to a report, 10% of the global GDP will be stored on blockchains by 2027. This is huge progress keeping in mind, we are talking about less than a decade. There are some estimates that even predict $3 trillion blockchain market by 2030.

Similar to the dot-com era, the initial phase of blockchain was not spectacularly overwhelming. However, it is starting to find its footing in different industries outside the one it has pioneered.

Simply put, blockchain is no more limited to the financial sector, but have already transformed many other industries.

This Blockchain Transformation Playbook is for companies looking to incorporate blockchain in their structure and strategy. It is essentially tailored for companies with a market cap of at least $500 million. However, the basics can be followed by almost all companies irrespective of their size with little adjustments.

Any company can use the recommendation outlined in this playbook to work on blockchain projects that are ultimately poised to transform the entire business models.

Blockchain Implementation Challenges?

There is no doubt that Blockchain has the potential to transform many industries that we see today, but there are also challenges remain for wider adoption of this technology. For example:

  • There is a need to establish platform standards especially to implement blockchain at the Enterprise level.
  • Customers are looking into blockchain solutions that are industry-specific, not general purpose.
  • To unlock the true value of blockchain, better interconnectivity between multiple independent blockchain platforms is required.

Playback Quick Overview

blockchain transformation playbook

Here are five basic steps you need to take to transform the company using blockchain technology:

  1. Start with small projects
  2. Build a blockchain taskforce
  3. Train the teams
  4. Develop a strategy
  5. Create internal and external networks

Factors Driving Blockchain Revolution

Before we move onto each step of our Blockchain Implementation Playbook, it is important to discuss the factors driving the blockchain growth.

Here are the factors:

  • Transparency

This is a common issue with the supply chain industry. Lack of transparency creates serious issues in the global supply chain leads that include safety and health concerns, as well as counterfeiting.

For example, counterfeiting alone costs over USD 7.5 billion each year to US-based semiconductors alone. Blockchain certainly offers a layer of transparency to blockchain industry to reduce their losses due to lack of transparency.

  • Complexity

You can find several intermediaries like brokers, financial institutions, and several third-party institutions that make global trade complex as well as slow. According to estimates, suppliers and businesses, especially in emerging markets, pay up to 30% of interest on receivable financing. This adds a lot to the cost of doing business.  

  • Security

One of the key issues with a centralized architecture of information in the tech world is a security breach. Such centralized architectures are vulnerable to hacking attempts that makes them insecure. According to estimates, there will be 20 billion IoT devices in the world in the next two years, all vulnerable to hacks. Blockchain offers better security to the IT industry.

Blockchain offers a perfect solution to all of the above problem, thus these factors driving its growth. It builds trust at the enterprise level with the digitization of business processes, the codification of complex contracts, and tokenization of assets. By implementing these processes, businesses and enterprises can make business processes secure, simple, and more efficient.      

1. Start With Small Projects

Like with any new venture, it is best to start small. For your initial projects, if you focus on smaller pilot projects rather than a full-fledged transformation then the risks are fewer. Such projects will have a meaningful impact and draw an achievable roadmap for the company. The success would convince stakeholders to show more initiative and involvement.

Nevertheless, the projects should be significant enough to create an impact. Ideally, you would want to use the true entrepreneurial spirit by using the technology to address the existing problems in the company’s strategy or operations.

The blockchain is a leading digital transformation technology that allows you to address the problems in an effective way, to bring in more transparency, and to develop a more effective process.  

Blockchain Transformation Guidelines

Here are few guidelines regarding the small blockchain projects you want to start with:

  • The objectives of the project should be clear and measurable.
  • The project’s feasibility study should be conducted beforehand to ensure that the success possibilities are higher for the project.
  • The existing developing and network security teams should be able to collaborate with external teams versed with the blockchain technology development.
  • The project should show quantifiable progress within the first six months.

Starting out with a few pilot projects would help orchestrate a bigger movement. That is in essence what the transformation would be. When the success of the first or second project starts a momentum, it will essentially move the entire company in one direction.

The very best example of this would be Artificial Intelligence (AI). Today, it is paving the way in almost every industry from manufacturing to logistics to advertising. How did it all start? On a very small level.

Companies initiated small AI projects that helped them solve problems in their existing technology. Big tech companies that are investing millions today in AI once funded smaller projects within their organizations. This helped create a movement and created a path for the technology to dive into other industries.

The success of one project initiated another even bigger project. Engineers became more experienced. Investors became more interested. Finally, the technology boomed and transformed many existing industries. It is expected that by 2030, AI would contribute $13 trillion to GDP growth.

Same if the case with companies using blockchain technology, some big names that started small and now using blockchain on a much larger scale. These companies include Industrial Industrial and Commercial Bank of China (ICBC), JPMorgan Chase & Co. (JPM), Berkshire Heathaway Inc., Bank of America, Wells Fargo & Company, and many similar names.

Blockchain Use Cases

Here are some more companies using blockchain technology as an example or blockchain use cases.

  • China Construction Bank: The CCB started with some of their financial products and used IBM blockchain platform to make the process simpler and straightforward, mostly for services they sell in combination with insurance companies.
    • Agricultural Bank of China: Starting small, the bank has started a project to offer agricultural loans to mostly e-commerce merchants on a decentralized network.
    • Apple Inc.: The global tech giant is starting with using blockchain to timestamp data.
    • Toyota Motor Corp: The Japanese company is currently exploring ways to enable blockchain payments for self-driven cars.
    • Samsung: The South Korean tech giant is using a blockchain platform to track global supply chains.

These are some great examples who some of the largest companies in the world are starting slow with blockchain, and working on smaller projects for now.

Overall, some of the major industries that are going through a blockchain disruption include financial industry, healthcare, real estate, legal industry, security, government, and education.

2. Build a Blockchain Task Force

When you invest in a technology like a blockchain, you need the right people to make things happen and that too at a faster rate. Obviously, you will need expertise in the field.

However, blockchain is a rather nascent technology. This will make it difficult to hire people from the outside. Keeping in mind the fact that you want the long-term benefits of the technology, you need a task force with people from within the organization.

The demand for blockchain skills has increased by 300% in just one year, with increased demand from businesses looking for blockchain transformation. This also raises the average salary ($84,884) which is now above the median US salary ($52,461).

Developing an In-house Team or Outsourcing: A Lesson to Learn

You need to look back at other technologies and how companies used their resources to benefit from them. There are important lessons to be learned. The digital transformation of many industries starting in the 90s meant hiring an expert, i.e., a CTO.

In that era, a company hiring a CTO was a big deal. In contrast, those who used independent projects using outside help did not fully leverage the benefit of the internet.

For blockchain applications for your business, you need strong leadership, expertise, and initiative. Your task force will need to be much more centralized which is a bit ironic considering blockchain is all about decentralization.

You will need a CTO or CDO to head the team working on these projects.

The key goals of this new task force would be as following:

  • Create blockchain use cases
  • Build blockchain capabilities from the ground up
  • Build processes for successful delivery of different phases of the project
  • Once tested, these processes will need to be repeated to ensure timely implementation
  • Look for expertise and talent wherever there is a need in the team
  • Develop standards to achieve with the different processes
  • Utilize different divisions of the company to enrich the process and bring more opinions to the table

For big enterprises, cross-functioning would be a key to success. Many companies operate under different divisions that ultimately report back to the CEO. The new blockchain division would similarly report to the CEO under the leadership of the CTO or CDO.

  • Getting Ready for New Job Creations

There will be new job creations with specific descriptions and duties of your new blockchain team. Organizing these roles and what they contribute to the project is going to be the single most important aspect of the team.

The reason being this is going to be new for the task force as well. If their goals and duties are clearly defined, they will have a clear direction as to what their contribution and goals are.

You will need all hand on board including Project Managers, Product Managers, Data Scientists, Security Analysts, and Implementation Executives. All these taskforce members will report to the leader who will then report to the CEO. If need be the taskforce can be further divided into small teams.

  • Is There Any Blockchain Framework to Follow?

Unfortunately, there isn’t. There are no existing frameworks for blockchain development. The companies using blockchain will be challenged to devise frameworks and processes that work out best for their projects. The leader should be able to devise the right processes that utilize the skills and qualities of the task force.

Not every company would have ample people available to independently work on the blockchain project. Also, there may be a dearth of people with even the basic knowledge of this technology. That raises the need for looking outside the firm. Even if you do have people from within the organization for the project formulation and development, it would be opportunistic to still hire talent.

Once the blockchain technology becomes even more widespread as experts are predicting, the demand for blockchain experience and talent would skyrocket. This would be the prime time to hire people who have experience in this field. They can truly serve as a tool to get ahead of competition in the near future besides taking the current projects to fruition.

You may want to work with a recruiting partner to do this job for you. Even when you acquire such talent, providing them the right training to assimilate with the current team members would be required. It will help create a balanced task force that covers all aspects of the project and works in cohesion.

A Quick Checklist for Hiring Blockchain Developers: Skills to Look for

  • In-depth understanding of blockchain network and its architecture.
  • Ability to develop smart contracts independently.
  • In-depth understanding of data structure and their link to front-end applications.
  • Well-versed in cryptography and latest techniques
  • Experience in application development
  • An excellent understanding and knowledge of blockchain platforms
  • Ability to incorporate blockchain proficiency as a service

3. Train the Teams

Formulating the task force is just the beginning. The real challenge would be training these individuals existing as well as those new hires. The financial industry is seriously lacking people experienced with blockchain and cryptocurrency, thus hindering the blockchain transformation in many industries.  

The very nature of this technology can be attributed as a reason. Most people who started ICOs are independents who have worked with this technology for years without the support or involvement of big companies.

The good news is that these very people are pushing the blockchain narrative forward on the internet. There is a lot of material online in the form of publications, studies, white papers, and even interviews that can be used to train your team. Most importantly, there is a lot of talk about future blockchain applications.

  • Online Training Resources

You have online courses, YouTube videos, and podcasts that explain what is blockchain, how blockchain works, and how blockchain is different from the current technology employed by banks and other financial institutions.

This is obviously cost-effective as most of the content is free. It would be the job of the leaders and experts in the team to comb through the materials and find what they can use to train their team. Going through blockchain use cases is another great way to get your team ready.

Today, training practices within the companies have significantly improved. Again, thanks to technology and the internet. There are no boring lectures or slideshows but interactive videos and hands-on practices.

Such training can help the team understand the very basics as well as how to think about the future. They will be poised to become future innovators of blockchain in the service industry, banking, trading, etc.

That said, you will also need some in-person training. You can hire blockchain enthusiasts and consultants to deliver training sessions to your team. And this is not going to be just for the team members, leaders will need to take part as well.

Here is what you need to cover with the training material:

  • Basic understanding of what is blockchain, its current applications, and benefits
  • The impact of blockchain on current financial systems and economies
  • Case studies of the most prominent cryptocurrencies (Bitcoin, Ethereum, and LiteCoin)
  • Technical understanding of the technology how it works and what are the challenges
  • Understanding of tools available currently

Here is the recommended number of hours for different members of the team:

  • Executives: 4-6 hours
  • Individual team leaders: 12-16 hours
  • Engineers: 100-120 hours

4. Develop Strategy

No project can become successful without a solid strategy. Creating the best strategy for a blockchain project is going to be both simple and challenging. Since there are not many enterprises working on the technology, you would be at liberty to create your own distinct goals. However, creating an achievable path would be difficult. The biggest of the challenge would be to identify where blockchain uses can be employed.

If you are wondering why strategy is not the first step as it traditionally is, it is because there needs to be some familiarity with the technology first which the training would provide. When the teams have attained basic experience with blockchain, formulating a strategy would become easier.

Before developing a detailed strategy, you also need to first identify the areas where you can implement blockchain transformation. To put it simply, you first have to do a detailed analysis of blockchain innovation and its impact on core business practices.

For example, blockchain in the service industry can be used to streamline the transaction process by digitizing assets and offering access to users who don’t have access to bank accounts.

Here is what you can plan for, and the goals you can set for the business:

  • Providing end customers better access to your services through blockchain implementation.
  • Can enhance your bookkeeping process.
  • Better and flexible reserve management.
  • Improvements in common business processes.

Once you have identified the right process to implement blockchain transformation, here is how you can develop a sound strategy.

Find Opportunities:

As mentioned earlier, start by identifying opportunities. For example, you can start with a list of small projects you want to start with, and then narrow them down to two or three as pilot projects.

You can create such list be identifying pain points in your current business process. For example, the processes you aren’t really satisfied with. These could be processes that are causing delays, back-office workarounds, and any areas that are causing client’s dissatisfaction. A customer feedback survey can also help you identify the pain-points in the business.

Next, you can identify processes that you want to streamline, like reconciliation of data or transaction processing. The blockchain is an excellent way to eliminate redundancy in data repositories, as well as identity issues. It can also reduce the risk of cyber-attacks and data hacks.

  • Exploring Readiness and Feasibility

As you choose your pilot projects, you also need to develop a hypothesis about how blockchain can make a difference. For example, you may want to create a hypothesis like:

“The implementation of blockchain will decrease the time needed for adjustments or settlements, or reduce the need of it in the first place, and improves transparency.”

Once you have developed a hypothesis, solidify it by consulting experts, learning about blockchain use cases in similar situations, or collecting more conclusive data that can back up your hypothesis.

  • Develop Prototypes and Test Them

Before Implementing the blockchain on the larger scale, it is imperative you start with prototypes first. This is a great way to improve the blockchain technology you so far worked on and make it more align with current practices before using it to replace the older technology.

The testing and evaluation process is important, both for your team or employees to get accustomed to the new technology and the process to get aligned with the latest technology. It will also help you and your team expand their awareness about blockchain technology and its results.

Match the results with your original hypothesis. See if it proves your hypothesis. If not, what are the adjustments that you need to make? Proceed forward with the results of the prototype in mind.

  • Scale Accordingly

Once you are satisfied with the results of the prototype, next is to scale your efforts. Develop a plan that is designed for a long-term blockchain transformation and implementation. Create a detailed roadmap of how to scale blockchain technology and your prototype but in an achievable and measurable way.

5. Developing External and Internal Communications

Last but not least, you need to take care of the internal as well as external communications as blockchain will have an impact on your business processes as well as output. You need to align your internal and external communications accordingly.

Blockchain transformation as you scale will affect your stakeholders, which means you need better communication to implement alignment. Here is how to communicate with each stakeholder.

  • Investors

With the betterment blockchain transformation brings to your business, it is important to re-evaluate your business in front of investors. A good strategy and communication help you make investors realize the true value of your company after the implementation of blockchain technology.

  • Relations with Government

If you are working in highly-regulated industries like healthcare and finance, it is important to stay compliant with all government regulations. Keep in mind, governments are also adjusting with the increased penetration of blockchain technology into mainstream industries and widespread use of cryptocurrencies.

You must be well-versed about all regulations related to blockchain technology but also communicate well with the corresponding government institutions. For example, you need to look into the Security and Exchange Commission (SEC) in the United States that is making some major changes in their regulations related to blockchain and cryptocurrencies.

  • Educate Your Customers

The changes blockchain transformation brings in to your processes is also new for your customers. You need to educate your customers as well, about the benefits blockchain offers them.

  • Finding and Recruiting Educate Human Resource

As we have mentioned earlier, finding the right human resource and skills is not easy due to the scarcity of talent. To attract better skillset, you need to have better employer branding. You must show skilled human resource you are a company that they want to work for.

For example, blockchain developers want to work with companies that allow them creative space and independence, as there is not framework associated with blockchain yet. An environment that encourages learning as blockchain technology is still involving. You need to communicate skilled people that your company offers exactly the same.

  • Internal Communication

Last but not the least, it is very important to communicate all changes and implementations to your employees, who may be confused, and some cases, scared of the new technology that is not well-known yet. You need to ensure your employees that the changes are for the betterment of the business, and also need to educate them about the future they may have to walk in along with blockchain transformation.

Final Words

This is an excellent resource to help you bring in changes and complete the blockchain transformation. The blockchain is now an integral part of the latest digital transformation businesses are implementing.

However, you need to start small if you are new to the blockchain. Find small pilot projects mostly related to the pain-points in your business and processes you want to streamline. Hire a talented workforce or train your current human resource. Bring in structure and accommodate new blockchain team in your business structure.

Develop a strategy to scale further once initial pilot projects result in success. And in the end, make sure that all stakeholders are communicated in time about the changes your business is bringing in terms of blockchain transformation.

The post Blockchain Transformation Playbook appeared first on 101 Blockchains.

20 Jan 22:15

The ValueSelling Framework®

by Gerhard Gschwandtner

While most salespeople are stuck at the transactional or relationship sales model, ValueSelling is the domain of top sales professionals. Julie Thomas, CEO of ValueSelling Associates shares great insights that can help your sales soar. For more information visit www.valueselling.com
20 Jan 22:09

Delivering simplicity through complex data

by QuantiumEditor

29 Oct 19:54

AI in UK Artificial Intelligence Industry Landscape Overview Q3 2018

by Roxy Iqbal

*NEW* AI in UK Artificial Intelligence Industry Landscape Overview Q3 2018 

Click to read the REPORT
Click to read the PRESS RELEASE

The post AI in UK Artificial Intelligence Industry Landscape Overview Q3 2018 appeared first on APPG.

21 Oct 08:47

Qlik Sense September 2018

by info@opso.fr (OPSO - Expertise décisionnelle)
Qlik Sense September 2018

Quelles sont les nouveautés prévues de Septembre 2018 ?

Insight Advisor pour les clients

Utilisation étendue d'Insight Advisor pour TOUS les utilisateurs des applications y compris les utilisateurs d'applications publiées capables de rechercher et de générer des informations sur les éléments principaux.

Design avancé

• Activation de contrôles lorsque vous utilisez un périphérique hybride (prise en charge les événement de saisie tactile et souris).

• Il est désormais possible de définir un signet par défaut, qui est appliqué lorsque l'application Qlik Sense est ouverte en tant qu'état de sélection initiale.

 

Personnalisation supérieure

Personnalisation (en pixels) des feuilles pour permettre de désactiver la réactivité du client sauf en mode appareil mobile.

Améliorations de l'éditeur d’expressions

• Aide : lien direct vers la page d'aide de Qlik Sense à partir des fonctions d'expression

• Catégories : catégorisation de la fonction restructurée

• Rechercher : Plus facile de trouver des noms de champs, des fonctions et des variables

 

Meilleur contrôle dans les visualisations

• Possibilité d'afficher / masquer les colonnes dans un tableau croisé dynamique

• Les éléments de mesures de types Master Item peuvent désormais être personnalisés avec des échelles de couleurs ou des dégradés, une alternative pratique aux expressions de couleur personnalisées.

 

Visualisations et cartographie

• Nouvelle couche de carte

• Densification de la couche d’arrière-plan avec dégradé pour cartographier à des niveaux multiples telles que : statistiques commerciales, valeurs de maison, etc.

 

Améliorations de la carte

• Zoom adaptatif et panoramique lors de la navigation sur des cartes denses

• Couleurs par défaut pour les nouveaux calques; chaque nouveau calque a une couleur indépendante de la palette

• Les fichiers KML avec des données de lignes géographiques peuvent être chargés et affichés.

• Les étiquettes de champ pour la taille et la largeur vont permettre de faciliter la lecture des légendes ainsi que des fenêtres contextuelles.

 

Mobile

Qlik Sense est maintenant pris en charge dans l'environnement AirWatch EMM pour Safari et Chrome.

 

Connecteurs Qlik

• Ajout d’un connecteur MS Azure SQL DB et d’un connecteur JIRA.

• Optimisation de la sécurité, l’authentification LDAP est intégrée au connecteur ODBC Qlik avec les normes de cryptage et d’authentification reconnue par les industries.

 

Qlik Associative Big Data Index

• La version de septembre va intégrer la version du Qlik Associative Big Data Index spécialisé pour les gros volumes. Ce module sera mis à disposition dans le cadre d’un programme dédié, les détails seront précisés lors de la sortie de la version.

 

Qlik Sense Server

• Possibilité de déplacer une ou plusieurs applications d'un flux vers une autre dans la QMC, en

s'appuyant sur les fonctionnalités de la version d’avril 2018.

• Mise à disposition d'une application de Stream en streaming.

 

Remarque

Date d'expiration de Qlik Sense Desktop
Version : Juin 2017
Date d'expiration : 30 Août 2018
Date de signalement d'expiration : 31 Juillet 2018

 

11 Aug 11:57

Ling Shou Tong: Alibaba’s Next Innovative Disruptor?

by accenture@slideshare.net(accenture)

This piece examines Ling Shou Tong (Alibaba’s new retail inventory management platform)and looks at how it’s disrupting convenience stores and post and parcel delivery in China.
08 Jun 21:39

How Tesla Is Using Big Data And AI

by Gary Eastwood
Elon Musk’s Tesla has long enjoyed a well-deserved spotlight in global headlines, largely thanks to the eccentric nature of the company’s founder and the unique allure of its electric vehicles. Despite all the hubbub surrounding recent gimmicks like sending a Tesla roadster hurtling towards Mars, however, most investors and tech enthusiast have a different reason to keep their eye on Tesla; namely, the company’s pioneering of artificial intelligence and big data analytics.

So, how exactly is Tesla harnessing the power of big data to compete with its rapidly growing competitors, and what exactly is unique about the way it’s employing artificial intelligence in the workplace? Check out these ways that Tesla is leveraging these exciting new technologies, and you’ll see plenty of reasons to remain ambitious about the company’s future.

Tesla is building the AI of the future

It’s no exaggeration to say that Tesla is fundamentally reshaping how individuals and businesses alike view artificial intelligence in the workplace; after all, the company is literally developing its own custom AI chips to help it compete in a robust auto industry. Elon Musk has claimed that Tesla’s AI hardware will be the best in the world, and there are few reasons to doubt him ...


Read More on Datafloq
06 Jun 05:17

Microsoft expands data privacy tools ahead of GDPR

by Thuy Ong

Microsoft has announced it will extend its data privacy tools to individual users of the company’s products and services worldwide. Microsoft’s Data Subject Rights include the right to know about the data the company collects on you and the ability to correct the data, delete it, or move the data elsewhere. Microsoft’s privacy dashboard will help its customers manage their data. The announcement mirrors action taken by other technology companies in preparation for the General Data Protection Regulation (GDPR), which goes into effect on May 25th. The GDPR sets new rules for how companies manage and share personal data.

In a blog post that calls privacy “a fundamental human right,” Microsoft says it’s had more than 1,600 of its engineers working on GDPR projects. It has also made investments to redesign its tools and systems to comply with the new rules. Microsoft notes that it will use customer feedback to improve the privacy tools.

“We believe privacy is a fundamental human right. As people live more of their lives online and depend more on technology to operate their businesses, engage with friends and family, pursue opportunities, and manage their health and finances, the protection of this right is becoming more important than ever.”

“Privacy is also the foundation for trust. We know that people will only use technology that they trust. Ultimately, trust is created when people are confident that their personal data is safe and they have a clear understanding of how and why it is used. This means companies like ours have a huge responsibility to safeguard the privacy of the personal data we collect and the data we manage for our commercial customers.”

Microsoft has also updated its privacy statement that governs consumers, making it easier to read and inclusive of specific information related to GDPR. Additions to the statement include highlighting new categories surrounding personal data the company collects like voice data, content consumption data, and browsing history. The updated privacy statement also clarifies how Microsoft uses personal data generally and describes how customers can access and control their data.

Previously, Facebook has said it will roll out privacy tools globally, while Apple has introduced a feature that allows anyone to download all the information the company has on them. The EU has previously expressed concern over Microsoft’s privacy settings in Windows 10. Microsoft released a new data collection viewer tool as part of the recent Windows 10 April 2018 Update to help dispel those worries.

27 Apr 22:54

Alain Sanjaume (Teads) "Beaucoup de fournisseurs de data ont fait le tri parmi leurs partenaires ...

Alain Sanjaume (Teads) : « Beaucoup de fournisseurs de data ont fait le tri parmi leurs partenaires en vue du RGPD ». Par Journal du Net. Publié le 20/04/2018 à 17:06 | www.journaldunet.com ...
22 Apr 06:32

Frédéric Taddeï reçoit : Claire Castillon, Philippe Mangeot, Antoine Garapon, Jean Lassègue,

Frédéric Taddeï, deuxième heure : magazine avec tous ceux qui font l'actualité culturelle : acteurs, chanteurs, romanciers, musiciens, cinéastes, essayistes…
28 Feb 17:26

Air France, grand gagnant des JO sur les réseaux sociaux

Sport, exploits, audiences: les Jeux Olympiques représentent un met de choix pour la solution de social listening de Sprinklr, qui révèle que des athlètes et des marques gagnent la compétition sur les réseaux sociaux.
28 Feb 16:47

L’Institut NÉOMED annonce la création de NÉOMED Thérapeutique 1 Inc. afin de financer et développer une pipeline thérapeutique de double inhibiteurs de BET avec NEO2734 comme composé principal, un antitumoral administré par voie orale, ayant une double activité inhibitrice sur BET et CBP/P300

by srobinet
  • Christine Lennon est nommée Présidente et Chef de la direction
  • Initiation des études toxicologiques nécessaires à la soumission d’un IND
  • Financement sollicité pour supporter:
  1. Études de Phase 1/2 de NEO2734
  2. Programme de découverte préclinique d’un double inhibiteur BET/SMARCA4
  3. Programme de biomarqueurs cliniques

Montréal, Québec, Canada 28 février 2018 – L’Institut NÉOMED (NÉOMED), organisme canadien de R&D sans but lucratif, a annoncé aujourd’hui le lancement de sa première entreprise dérivée.  NÉOMED Thérapeutique 1 Inc. (NÉOMED Thérapeutique), est une entreprise destinée au développement d’un nouvel inhibiteur épigénétique, administré par voie orale, dans le cadre d’une thérapie ciblée contre le cancer. En 2014, NÉOMED a acquis la licence de cette technologie, à l’origine découverte par la compagnie privée Epigenetix Inc., fondée sur les recherches du Dr. Claes Wahlestedt, MD, PhD, professeur et doyen associé du Center for Therapeutic Innovation de l’École de médecine Leonard M. Miller de l’Université de Miami.

 L’équipe de projet de NÉOMED a découvert quatre séries chimiques distinctes qui ont permis le développement préclinique d’un portefeuille de nouveaux inhibiteurs épigénétiques, oralement biodisponibles. Suite à la soumission de l’IND et du CTA, prévue début 2019, le premier essai clinique chez l’homme devrait commencer dans la foulée pour le composé principal NEO2734, un double inhibiteur différencié de BET (Bromodomain and extra-terminal) et CBP (CREB-binding protein)/P300, administrable par voie orale et potentiellement le premier de sa génération. En plus de NEO2734, le portefeuille de NÉOMED Thérapeutique 1 se compose d’un programme back up de composés double inhibiteurs de BET et de CBP/P300, d’un programme de double inhibiteurs de BET et SMARCA4, et également d’un programme complémentaire de biomarqueurs.

« La création de NÉOMED Thérapeutique 1 va faciliter nos efforts de collecte de fonds afin de poursuivre le développement de NEO2734 lors des phases cliniques prévues début 2019 et permettre la progression de notre unique programme d’inhibiteurs » déclare Donald Olds, Président et Chef de la direction de NÉOMED. « Nous avons le privilège que Christine Lennon, professionnelle aguerrie avec une expérience significative en biotech, pharma et capital de risque, ait accepté de constituer et de diriger l’équipe pendant cette période de transition durant laquelle notre programme d’inhibiteur épigénétique évoluera vers  une compagnie en phase clinique » poursuit Donald Olds.

« Nous travaillons à soumettre notre demande d’IND à la Food and Drug Administration aux États-Unis et notre demande d’essai clinique (CTA) à Santé Canada en 2019 et nous planifions de commencer nos premiers essais cliniques de phase I chez les patients cancéreux immédiatement après, soit dans les six premiers mois de l’année 2019 » ajoute Christine Lennon.

« Avec la création de NÉOMED Thérapeutique 1 j’ai la conviction que l’équipe dirigée par Christine Lennon, dans le but d’attirer des investisseurs stratégiques, va permettre de conduire NEO2734 jusqu’à la phase 1 des essais cliniques auprès des patients atteints de cancer » conclut Claes Wahlestedt, scientifique et co-fondateur de Epigenetix Inc.

Avant de rejoindre NÉOMED, Madame Lennon a occupé de nombreuses postes de direction dans le secteur pharmaceutique, biotechnologique et celui  du capital de risque. Plus exactement au sein de Novartis Oncologie au Canada et en Europe, Shire, BioChem Pharma et NeuroChem (devenue Bellus Health). Christine a également été conseillère / cadre en résidence pour des fonds de capital de risque dans le secteur de la santé au sein de la Banque de développement du Canada (BDC) et de la Caisse de dépôt et placement du Québec (CDP Capital). Christine Lennon est diplômée d’un MBA et d’un baccalauréat en Sciences (avec honneurs) de l’Université McGill.

La société privée Epigenetix Inc., basée à Miami et l’Institut NÉOMED, seront les actionnaires fondateurs de NÉOMED Thérapeutique 1, qui sera soutenue par l’équipe scientifique et médicale de l’Institut NÉOMED dans le but de conduire les opérations au cours des phases initiales.

 

A propos de l’Institut NÉOMED 

L’Institut NÉOMED est un organisme canadien de R&D sans but lucratif, innovant et prospère, dont la mission est de favoriser et d’accélérer la commercialisation des découvertes scientifiques canadiennes afin de les transformer en solutions thérapeutiques. Dans cette optique, l’Institut NÉOMED est composé de deux divisions complémentaires :

  • NÉOMED Therapeutics collabore avec des centres académiques ainsi que des instituts de recherche canadiens, afin de faire avancer des découvertes prometteuses au travers du financement et du développement de ces programmes jusqu’à ce qu’ils puissent susciter l’intérêt de partenaires ou qu’ils constituent une base solide pour la création d’une nouvelle compagnie. Tous les bénéfices générés sont alors réinvestis dans de nouveaux projets.
  • Le centre d’innovation NÉOMED opère un écosystème en science de la vie de calibre mondial à Montréal, Québec, et a été créé dans le but d’offrir un environnement favorable et florissant pour que les compagnies de biotechnologie et de recherche contractuelle puissent s’établir, s’accroître et prospérer. À ce jour, le centre d’innovation NÉOMED héberge 30 compagnies du secteur des sciences de la vie, employant plus de 350 personnes réparties sur deux établissements de R&D à la pointe de la technologie. Les compagnies hébergées bénéficient d’un modèle de services partagés (chimie analytique, pharmacologie in vivo, etc.) et d’une culture entrepreneuriale favorisée par la collaboration et les innovations scientifiques.

L’Institut NÉOMED est financé conjointement par nos partenaires de l’industrie pharmaceutique, par le Ministère de l’Économie, de la Science et de l’Innovation du Québec et par les Réseaux de centres d’excellence (RCE) du Canada. Pour de plus amples renseignements, veuillez visiter : www.neomed.ca.

 

NEOMED Institute

Donald Olds, Président

et Chef de la direction

514-367-1212

NEOMED Therapeutics 1 Inc.

Christine Lennon, Présidente

et Chef de la direction

514-367-1212

The post L’Institut NÉOMED annonce la création de NÉOMED Thérapeutique 1 Inc. afin de financer et développer une pipeline thérapeutique de double inhibiteurs de BET avec NEO2734 comme composé principal, un antitumoral administré par voie orale, ayant une double activité inhibitrice sur BET et CBP/P300 appeared first on NÉOMED.

28 Feb 00:12

Lead Finder — Find any email from a company in seconds. free

by rotem gal

“ Just found out Mark Zuckerberg email. Pretty neat :) ”
– rotem gal

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10 Dec 23:47

Algorithmes de recommandation : comment CNN et Quartz apprennent à vous connaître

by Pierre-Nicolas Schwab

Pour qu’un algorithme puisse produire des recommandations qui ont du sens il faut qu’il soit « alimenté » en données qui vous renseignent sur les goûts de vos clients.
Cela peut se faire de plusieurs façons :

  • via des feedback implicites: ceci est le cas quand vous suivez le comportement d’un utilisateur et inférez ses goûts en vous basant sur ces actions
  • Filtrage collaboratif: en utilisant le profil d’un utilisateur et en le comparant à d’autres, il vous est possible de faire des recommandations par similarité
  • feedback explicite: ce cas se présente lorsque vous laissez aux utilisateurs la possibilité de choisir eux-mêmes ce qu’ils veulent, ce qu’ils aiment ou n’aiment pas (pour plus d’informations sur l’importance du feedback explicite, lisez cet article que nous avions publié il y a quelques mois)

 

Je suis tombé récemment sur deux exemples intéressants de mécanismes de feedback, l’un implicite, l’autre explicite.

 

Mécanisme de feedback implicite en 2 étapes sur le site mobile de CNN

Commençons par le site web de CNN. Bien qu’un bouton « Read More » (« Lire plus ») soit utilisé depuis longtemps sur de nombreux sites pour inférer l’intérêt réel des lecteurs pour un article, le mécanisme mis en place par CNN est légèrement différent et je ne sais d’ailleurs pas pourquoi.
Quand vous appuyez une fois sur le bouton l’article ne s’affiche pas (encore). Par contre le bouton change de couleur et ce n’est qu’au second clic que l’article s’affiche en entier. Ce dispositif vise-t-il à éviter les clics malencontreux ? Ou bien le double clic permet-il une meilleure inférence du comportement de l’utilisateur ?
Toujours est-il que si quelqu’un connait la réponse je suis preneur.

 

La fonction « Mettez Trump en sourdine » sur l’application mobile Quartz

 

Voilà bien l’une de ces petites innovations qui sans être révolutionnaires attire quand même la sympathie.
Laissez-moi tout d’abord vous dire que l’application mobile Quartz est une de mes préférées. Elle tranche radicalement avec toutes les applications d’information qui existent. Les informations y sont fournies en mode « push » au travers d’une interface de type chatbot. Je suis accroc à ces petits messages dont le ton est également très différent du rest.
Au-delà de son interface l’application Qz.com possède également un mécanisme de feedback explicite étonnant que vous pourrez découvrir dans le panneau de configuration de l’application. Une fonction vous donne en effet la possibilité de mettre en sourdine (« snooze ») les informations sur Donald Trump pendant 24h. N’est-ce pas là une idée géniale ?

 

 

Cet article Algorithmes de recommandation : comment CNN et Quartz apprennent à vous connaître est apparu en premier sur Conseils en marketing.

10 Dec 20:46

Neurosciences et décision : qu'est-ce ce qui influence nos choix ?

by podcast@radiofrance.com
durée : 00:51:51 - La tête au carré - par : Mathieu VIDARD - Nos choix sont-ils rationnels ? Comment sont-ils influencés ? Comment cela est-il étudié par l'économie et les neurosciences ? - invités : Matthias Pessiglione - Matthias PESSIGLIONE - réalisé par : Fanny BOHUON
30 Sep 20:05

Sociologie Des Réseaux Sociaux

by Maviye kandemir

Auteur de l’œuvre : Pierre Mercklé est maître de conférences en sociologie à l’ENS de Lyon, et membre de l’équipe « Dispositions, pouvoirs, cultures et socialisations » (DPCS) du Centre Max-Weber. Ses recherches et ses enseignements portent sur les réseaux sociaux, les méthodes quantitatives en sciences sociales et les pratiques culturelles.

Image: REUTERS/ Guadalupe Pardo
Image: REUTERS/ Guadalupe Pardo

 

Pierre Merckle apporte une perspective sociologique au concept de «réseau», discuté depuis quelques décennies. Même si le concept de réseaux a commencé à connaitre une popularité croissante dans les années 2000, il date des années 1960. A partir d’un grand nombre de travaux, on constate que l’analyse des réseaux reste un domaine populaire d’enquête empirique.  L’auteur défend que les acteurs des relations sociales soient réduits à leurs attributs individuels dans le domaine des sciences sociales. Ainsi, l’idée est de restituer aux comportements individuels la complexité des relations sociales

Mais d’abord il est essentiel de définir la notion de « réseau» afin de mieux comprendre le point de vue de Merckle : « Un réseau social peut être définit un ensemble d’unités sociales et les relations que ces unités sociales entretiennent les unes avec les autres, directement ou indirectement à travers des chaines de longueurs variables.»

Un nouveau concept, une vieille histoire

Merckle fait d’abord une introduction à l’approche sociologique des réseaux sociaux et à ses origines. Il nous pose deux questions fondamentales : de quelles unités élémentaires un réseau social est constitué et quelle est son étendue globale. Lorsqu’il démontre le changement progressif d’usages de réseau (des réseaux physiques aux réseaux en ligne), il souligne l’importance des choix théoriques et méthodologiques en termes d’observation des structures sociales et s’interroge sur leurs rôles.  Mercklé revient sur les travaux fondateurs de la sociologie des réseaux et sur les usages scientifiques de la notion de réseaux sociaux faits par de nombreux chercheurs. Mercklé n’étudie de plus pas seulement les caractéristiques des individus mais également les types relations entre eux, la régularité, la densité et la stabilité de celles-ci, en faisant référence à l’anthropologie et aux premières recherches quantitatives.

Le 1er chapitre s’efforce de présenter les deux méthodologies de l’analyse des réseaux (la théorie des graphes et l’algèbre linéaire) de la façon la plus abordable possible à partir d’un exemple simple. Cet exemple nous permet d’examiner l’intensité des relations, la transformation des comportements ou la quantité des biens (e.x. Information) et cherche à comprendre non pas les individus mais les relations et les régularités que chaque individu présente.

Dans une brève introduction, Mercklé explicite d’abord les notions de densité et de connexité des relations à travers quelques exemples. Bien qu’il se concentre sur un exemple simple, c’est trop détaillé. Il indique ensuite que la perte de vitesse de l’utilisation des sociogrammes a permis une montée en puissance de l’utilisation des matricielles, qui permettent d’aborder des principes, des concepts, des outils et des données relationnelles en sciences sociales. En conséquence, la mathématisation des sciences sociales rend des notions telles que les réseaux sociaux, la densité et la connexité etc. plus facilement mesurables et vérifiables. La théorie des graphes ne sert pas qu’à visualiser les relations mais aussi à les conceptualiser grâce aux théorèmes, algorithmes et raisonnements.

La sociabilité, « forme pure de l’action réciproque « 

Selon Merckle, la sociabilité n’est pas la capacité à socialiser avec autrui mais définit l’ensemble des relations qu’un individu entretient. Qu’est-ce que l’intensité de ces relations et quelles sont les formes de sociabilité ? Ce sont les questions essentielles que l’on pose dans ce chapitre.

Alors que la sociabilité se désigne comme un capital social/une ressource individuelle, il existe des intensités et formes de sociabilité : l’amitié, le bien collectif, la ressource individuelle et l’homophilie. Toute sociabilité peut être considérée comme un capital social qui se compose d’un réseau durable de relations. Il faut souligner que la mesure du capital social ne peut se réduire au nombre d’amis sur les réseaux sociaux. De Graaf et Flap (1988) ont montré qu’il n’y a aucune corrélation entre la taille d’un réseau personnel et la fréquence avec laquelle des informations sur des emplois disponibles sont trouvées grâce à ces réseaux. Il faut en réalité tenir compte d’autres paramètres : le volume des ressources matérielles, symboliques et relationnelles détenue par les connaissances d’un individu. Toutefois, le capital social ne se limite pas aux relations directes mais englobe aussi les relations indirectes. Par conséquent, la valeur d’un capital social ne dépend pas seulement du nombre et des ressources des relations, mais aussi et surtout des caractéristiques structurelles (trous structuraux) du réseau qu’elles forment autour d’elles (les relations) et entre elles, y compris pour des relations indirectes (liens faibles).

La théorie de “liens faibles” de Granovetter (1973) se forme par l’idée que “les individus avec qui on est faiblement lié ont plus de chance d’évoluer dans des cercles différents”.  En outre, Grannovetter réalise une étude des processus de recherche d’emploi avec un échantillon d’environ 300 personnes. Il en conclut que les liens faibles peuvent être “des instruments indispensables aux individus pour saisir certaines opportunités qui s’offrent à eux, ainsi que pour leur intégration au sein de la communauté” ; alors que les liens forts engendreraient de la fragmentation sociale. Le système de Linkedin peut être un exemple de “liens faibles” pour acquérir de toute nouvelle opportunité grâce aux usagers en dehors de la communauté. Le système de Facebook peut être un exemple de l’homophilie et de “liens forts” en remontant les gens semblables au-dessus de fil d’actualité ou à droite de la page.

Réseaux, Catégorie Sociales et Groupes Sociaux

Dance ce chapitre, l’auteur apporte une approche critique sur les outils des réseaux sociaux et la catégorie sociale. Il continue également de privilégier des méthodes d’analyse des réseaux et maintient une regard critique sur ces outils et leurs apports. Ensuite, il invite le lecteur à explorer le concept de l’analyse structurale, marquée par une forte tendance à la simulation expérimentale et à l’élaboration de modèles abstraits de systèmes relationnels. En effet, la démarche fondamentale consiste en des positions structurales afin de refonder théoriquement et analytiquement certains concepts les plus classiques de la sociologie. En outre, l’ouvrage tente de détailler les concepts d’analyse des réseaux, qu’ils s’agissent des notions de « densité, intensité, connexité» mentionnés dans les chapitres précédents. Pour finir, l’on constate que la notion de classes ne convient plus à des sociétés ouvertes mais des propriétés relationnelles.

Une révolution ?

Après avoir discuté les termes, les composants et les recherches ayant pour objet les réseaux en ligne, l’auteur explore les causes de ce changement avec une vision égalitaire contre la technophilie et la technophobie.

L’auteur cite les dernières recherches et nuance les questions comme la cohésion sociale, la construction identitaire et les nouvelles formes de sociabilité, plus égalitaires et moins hiérarchisées. Par ailleurs, l’auteur veut que nous gardions à l’esprit que la sociabilité n’est pas reproduite sur Internet, et que les recherches sociologiques sur le sujet ne datent pas des années 2000.

En réalité, Internet n’est pas seulement un moteur de changement. C’est un accompagnateur de ces transformations. Contrairement à ce qu’on pensait, internet n’est pas la cause des transformations mais le produit de l‘émergence de l’autonomie et la nouvelle sociabilité dans les années 60. Ainsi, nous pouvons dire que les innovations techniques ne précèdent pas les usages mais sont au contraire produites par eux.

Enfin, l’on peut conclure en considérant les réseaux sociaux comme des moyens et des objets de recherche nous permettant d’avoir une connaissance des structures sociales, des comportements individuels et de leurs transformations.

03 Sep 22:03

Top 10 Retail Banking Trends and Predictions for 2017

by Brian Solis

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Every year, my good friend Jim Marous organizes a “top trends and predictions in retail banking” for the annual Digital Banking Report. I do my best to support his efforts as its an important topic and it’s also a discussion that applies to almost every industry. The report features 99 global financial services leaders plus me ;). The crowdsourced panel includes bankers, credit union executives, industry analysts, advisors, authors and fintech followers from Asia, Africa, North America, South and Central America, Europe, the Middle East and Australia. Jim and team also surveyed the industry, including banks, credit unions and solution providers (suppliers).

The 100-page report will be released next week. In the meantime, I wanted to share the highlights with you here. You can read the full article here.

dbr_2017_trends

According to the report, here are the top priorities for 2017…

1. Remove friction from the customer journey.

2. Use big data, AI, advanced analytics and cognitive computing.

3. Improve integrated multichannel delivery.

4. Invest in open APIs.

5. Build partnerships between banking and fintech firms.

6. Expand digital payments.

7. Respond to regulatory changes.

8. Explore advanced technologies such as IoT, voice, AI, et al.

9. Prepare for the rise of challenger banks.

10. Investment in innovation accelerators and innovation centers.

top_ten_trends_predictions_2017_fi_blog_rev

“Now more than ever, the mobile apps that become the ‘Uber of banking’ are becoming the minimum ante to compete in a connected economy. Technology aside, I believe that 2017 is a year that calls for transparency in banking, operations and customer engagement. The prophecy is coming true; we do in fact live in interesting times. Customers and employees are evolving – and how they think about banking, money and success is deviating from the old normal. It’s time for leaders to disrupt themselves before the gift of disruption is given to them by someone else.”

top_10_retail_banking_trends_and_predictions_for_2017

pasted_image_10_17_16__7_52_am

Please read X, The Experience When Business Meets Design or visit my previous publications

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The post Top 10 Retail Banking Trends and Predictions for 2017 appeared first on Brian Solis.

09 Aug 23:09

Facebook Messenger accepte les paiements

by Patrice BERNARD
Facebook Messenger
On le pressentait depuis quelques mois, Facebook n'en a pas fini avec son ambition de transformer les paiements, même si ce n'est pas sous la forme attendue initialement. Une nouvelle étape est désormais franchie, avec l'introduction – d'abord à titre expérimental – de fonctions d'encaissement au cœur de l'application Messenger.

C'est à l'occasion de l'événement TechCrunch Disrupt que le responsable du service de messagerie instantanée, David Marcus, a révélé l'information. En droite ligne de sa stratégie, le réseau social s'appuie sur des partenariats avec les principaux acteurs de l'industrie – parmi lesquels figurent Stripe, PayPal, Braintree, Visa, Mastercard, American Express… – afin de permettre aux concepteurs de « chatbots » d'accepter les paiements directement dans Messenger, sans faire transiter les clients par une interface externe.

Dans la pratique, c'est une simplification drastique de l'expérience d'achat que promet Facebook. Une fois les informations de paiement enregistrées sur son profil (ce qui était déjà possible pour les échanges d'argent entre particuliers), l'utilisateur pourra payer en un clic les produits et services qu'il aura sélectionnés auprès de ses fournisseurs favoris, dans le fil de la conversation. En parallèle, des capacités supplémentaires sont offertes aux développeurs, par exemple pour faciliter la navigation dans un catalogue.

Progressivement, Messenger affirme ainsi son positionnement de véritable plate-forme de services, capable d'accueillir tous types d'applications et d'intégrer toutes les composantes nécessaires à leur fonctionnement. À la clé, les commerçants (et autres entreprises) qui s'y installent rêveront d'accéder au milliard d'utilisateurs de la messagerie, tandis que les fournisseurs des moyens de paiement seront désintermédiés, se faisant toujours plus discrets dans le parcours d'achat (et dans la chaîne de valeur).

Certes, les « chatbots » de Messenger sont encore jeunes (ils n'ont pas 6 mois d'existence) et nul ne peut prédire s'ils s'imposeront durablement ou s'il s'agit d'une mode passagère. Il faut tout de même retenir la croissance de leur population : de 11 000 en juillet, ils sont maintenant 30 000, et tout laisse penser que les nouvelles extensions (qui devraient être généralisées d'ici à la fin de l'année) vont continuer à attirer les projets… En perspective, Facebook pourrait donc réussir l'exploit de s'ériger en arbitre des paiements mobiles tout en restant à l'écart du secteur et de ses complexités.

Plate-forme Facebook Messenger
09 Aug 22:42

L'innovation de CAPTAIN DASH

by 01VMBigData

Présentation lors du salon virtuel, 01 Virtual Meeting dédié aux enjeux et solutions du Big Data. Co-organisation entre la société Oratel et le Groupe 01.
Plus d'informations sur www.01virtual-meeting.com
Contact: Jean Nebinger
01virtual-meeting@oratel.fr