Management - Innovation -Technology and beyond
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The Danger of Focus Groups & Big Data !

The Danger of Focus Groups & Big Data ! | Management - Innovation -Technology and beyond | Scoop.it

How do you gather consumer feedback to bring innovation to your company? There are 3 main channels to collect consumer feedback. Focus groups, CRM/Big Data and consumer insight research.

This cartoon describes perfectly how it is hard to translate consumer’s feedback into a product. Along the way the message is lost in translation.The danger of focus groups is that they make us feel like we’re getting close to our customers, which is good, right?The problem comes when we ask focus groups questions which they are not really equipped to answer. If you are trying to figure out which advertising approach to use, focus groups are great for getting comparative feedback on how people react to different ideas ! 

Fouad Bendris's insight:

People don’t know what they want. Focus groups or CRM can’t express what people don’t know they want. Tim Kastelle wrote a very good article about how he found out he was buying Coke for the wrong reason. According to Doug McColgin, “going out into the consumers’ world is far more effective for exploring what could be. Observational research, or watching a consumer interact with products in their natural environment can provide value in several ways ...

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Management - Innovation -Technology and beyond
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Don’t Focus on the Problem, Innovate past it !

Don’t Focus on the Problem, Innovate past it ! | Management - Innovation -Technology and beyond | Scoop.it
The second group came up with much more elegant and effective designs. The first group focused on the problems with the existing design and that constrained their thinking. 
The study was carried out by researchers David Jansson and Steven Smith and is mentioned in David Niven’s book, It’s Not About the Shark. The title of the book refers to the problem which the then unknown director Steven Spielberg had in 1974 while shooting Jaws. The movie script involved many scenes showing a monster shark but the mechanical model shark they used had recurring technical faults and kept failing. The movie was running well behind schedule and ahead of budget. The problem was the shark which just would not work.
Fouad Bendris's insight:
Two groups of engineering students were given a similar task – to design a bicycle rack for a car. The first group was shown an existing but poorly designed roof rack for bicycles. They looked at all the issues with the current design and then set out to come up with something better. The second group was not shown the ineffective roof rack; they were simply told to design a really good bicycle rack.
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Marc Kneepkens's curator insight, June 24, 10:52 AM

Don't focus on the box, step out of it. 

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Don't Always Go With the 'Experts,' Because Sometimes the Experts Are Wrong !

Don't Always Go With the 'Experts,' Because Sometimes the Experts Are Wrong ! | Management - Innovation -Technology and beyond | Scoop.it
Audience tested, audience approved ! 
Specifically, Loba gave the example of a conversation he and Jason Aldean had in 2014. Aldean is one of the artists on BBR's record label. Aldean wanted to release a song titled Burnin' It Down as the lead single for his album Old Boots, New Dirt. But the label's executives had envisioned a different song from the album as the lead single. Their rationale came mainly from the fact that Burnin It Down was sonically different from any other song Alden had released as a lead single. Typically, Aldean's lead singles have been high-energy, guitar-driven tracks.
Fouad Bendris's insight:
When your gut tells you that you're on the right path, stand your ground. That's a strategy that pays off ... 
As an entrepreneur and creator, you've got to stand your ground. Why? Because sometimes industry experts are actually wrong. The following story should inspire you to stand your ground and as a leader it should also inspire you to trust your people.
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Magaly Siméon's curator insight, June 20, 2:56 AM
When your gut tells you that you're on the right path, stand your ground. That's a strategy that pays off ... 
As an entrepreneur and creator, you've got to stand your ground. Why? Because sometimes industry experts are actually wrong. The following story should inspire you to stand your ground and as a leader it should also inspire you to trust your people.
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AI Can Comb Through Your Data to Create More Compelling Customer Experiences

AI Can Comb Through Your Data to Create More Compelling Customer Experiences | Management - Innovation -Technology and beyond | Scoop.it
Data can provide huge insights for companies, but making the most of the big data being generated is no longer possible without the help of machine learning. Artificial intelligence tools can help companies make better data decisions that improve the customer experience in real-time. And using data to drive more personalized customer experiences benefits customers and businesses alike.
Fouad Bendris's insight:
Which increases customer loyalty ?
The world has more data than ever before. In fact, it’s estimated that by 2020, we’ll produce 44 zettabytes every day. That’s equal to 44 trillion gigabytes. One gigabyte can hold the contents of enough books to cover a 30-foot-long shelf. Multiply that by 44 trillion. That’s a lot of data — too much for most companies to process. And yet front-line employees are still often left operating with data that’s “too little, too late.”
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The Strange Loop in Deep Learning – Intuition Machine – Medium

The Strange Loop in Deep Learning – Intuition Machine – Medium | Management - Innovation -Technology and beyond | Scoop.it
Loops are not typical in Deep Learning systems. These systems have conventionally been composed of acyclic graphs of computation layers. However, as we are all now beginning to discover, the employment of ‘feedback loops’ are creating one of the most mind-boggling new capabilities for automation. This is not hyperbole, this is happening today where researchers are training ‘narrow’ intelligence systems to create very capable specialist automation that surpass human capabilities.
Fouad Bendris's insight:
Where he describes this self-referential mechanism as what describes the unique property of minds. The strange loop is a cyclic system that traverses several layers in a hierarchy. By moving through this cycle one finds oneself where one originally started. Coincidentally enough, this ‘strange loop’ is in fact is the fundamental reason for what Yann LeCun describes as “the coolest idea in machine learning in the last twenty years.”
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Next? How to Convert Emerging Tech into Next Practices !

Next? How to Convert Emerging Tech into Next Practices ! | Management - Innovation -Technology and beyond | Scoop.it
Transformation is a team sport. It requires a shared language. Very often the same people who are tapped for running innovation are folks who have experience with the company but have zero expertise driving innovation. They stifle innovation. 

Today’s corporate innovation strategies and approaches are organized to produce tweaks to today’s business model. The new corporate innovation imperative is to do ongoing R&D for next practices and new business models.
Fouad Bendris's insight:
To appreciate the full breadth of possibility created by emerging technologies is to feel like a kid in a candy store. Our candy store is overflowing with brain-exploding and exciting new technologies including genomics, robotics, internet-of-things, big data, artificial intelligence, drones, and 3D printing to name just a few. Any one or combination of these emerging technologies has the potential to change the world. Whether they will or not, and at what pace, depends on our ability to combine and recombine emerging technologies into next practices and new business models to solve the important social challenges of our time.
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Unshackled algorithms: Machine-learning promises to shake up large swathes of finance !

Unshackled algorithms: Machine-learning promises to shake up large swathes of finance ! | Management - Innovation -Technology and beyond | Scoop.it
Despite the scepticism of many, including, surprisingly, some “quant” hedge funds that specialise in algorithm-based trading, machine-learning is poised to have a big impact. Innovative fintech firms and a few nimble incumbents have started applying the technique to everything from fraud protection to finding new trading strategies—promising to up-end not just the humdrum drudgery of the back-office, but the more glamorous stuff up-front. 
Machine-learning is already much used for tasks such as compliance, risk management and fraud prevention. Intelligent Voice, a British firm, sells its machine-learning-driven speech-transcription tool to large banks to monitor traders’ phone calls for signs of wrongdoing, such as insider trading
Fouad Bendris's insight:
MACHINE-LEARNING is beginning to shake up finance. A subset of artificial intelligence (AI) that excels at finding patterns and making predictions, it used to be the preserve of technology firms. The financial industry has jumped on the bandwagon.
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How to make Fully Homomorphic Encryption 'practical and usable'

How to make Fully Homomorphic Encryption 'practical and usable' | Management - Innovation -Technology and beyond | Scoop.it

Government-funded research on advanced encryption technology could make its way into open source community !

The Intelligence Advanced Research Projects Activity, which has been leading the Department of Defense’s examination of this topic, recently awarded research and development firm Galois a $1M contract to explore ways to bring FHE to programmers. The goal, says Galois Principal Investigator Dr. David Archer, is making FHE “practical and usable,” and his outfit is working with researchers at the New Jersey Institute of Technology on this front via the Rapid Machine-learning Processing Applications and Reconfigurable Targeting of Security (RAMPARTS) initiative. While it’s up to IARPA as to what becomes of the researchers' output, Archer says he wouldn’t be surprised if it goes the open source route.

Fouad Bendris's insight:
Fully Homomorphic Encryption (FHE) for years has been a promising approach to protecting data while it’s being computed on, but making it fast enough and easy enough to use has been a challenge. FHE allows for conducting more complex functions than Somewhat Homomorphic Encryption. There's more and more data available, and people are recognizing, maybe not for the first time, that it's important to keep that data private, yet it would be great if we could get utility out of it !
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A look inside Twitter's New York office, where employees enjoy rosé on tap, a basement café, and a fully-stocked kitchen run by a top chef ... #LoveWhereYouWork !

A look inside Twitter's New York office, where employees enjoy rosé on tap, a basement café, and a fully-stocked kitchen run by a top chef ... #LoveWhereYouWork ! | Management - Innovation -Technology and beyond | Scoop.it

Twitter's Manhattan office features a ton of perks for employees, including a basement café, a fully stocked kitchen, and rosé on tap.

Can't get enough of our Twitter tour? 

Employees also make a trip to the basement to take books from the office's library — as long as they leave one of their own, in return. Nola Weinstein, Twitter's head of social and experiential marketing, said the library is a treasure trove for bibliophiles. Visiting authors will often leave several copies of their latest works behind for employees to peruse /// 


Fouad Bendris's insight:
We need more than 140 characters to describe Twitter's Manhattan office.
The social media platform company, which employed 3,860 people around the world as of 2016, first moved to this Chelsea, Manhattan office, in 2015. Today, more than 400 Twitter employees work there. Out of all of the company's 30-plus offices around the world, it's the second-largest office after the San Francisco headquarters. Recently, Business Insider took a trip to the office to see if it was hashtag-worthy ?
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#Innovation Lessons from Michelangelo ... Ancora Imparo !

#Innovation Lessons from Michelangelo ... Ancora Imparo ! | Management - Innovation -Technology and beyond | Scoop.it
Michelangelo wasn’t a one-trick pony or a one-hit wonder. He was the archetype Renaissance artist, accomplished as a sculptor, painter, architect, and poet. Michelangelo produced iconic works, across disciplines, throughout the 88 years of his life. Many of Michelangelo’s works are still among the world’s most recognized and appreciated art ever created, five hundred years later, including the Pieta, David, and Sistine Chapel. It’s hard to argue that Michelangelo wasn’t a genius and that he didn’t leverage his creative superpower to gain the right notoriety and sponsorships. It doesn’t hurt when Lorenzo de’ Medici invites you to live in his Florence palace! But something else is going on when Michelangelo sustains his production at such an amazingly high level across so many disciplines over almost a century.
Fouad Bendris's insight:
Michelangelo shared his secret on the celebration of his 87th birthday, just a year before he died, proclaiming, Ancora Imparo: Yet I Am Learning !
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Old Habits die hard ! 

Old Habits die hard !  | Management - Innovation -Technology and beyond | Scoop.it
"Minority Report" never stop ;() 
Fouad Bendris's insight:
Giving one's confidence with closed eyes, can make us one-eyed ... People are more often fooled by distrust than confidence !
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Regulating the internet giants: The world’s most valuable resource is no longer oil, but data | The Economist

Regulating the internet giants: The world’s most valuable resource is no longer oil, but data | The Economist | Management - Innovation -Technology and beyond | Scoop.it


This abundance of data changes the nature of competition. Technology giants have always benefited from network effects: the more users Facebook signs up, the more attractive signing up becomes for others. With data there are extra network effects. By collecting more data, a firm has more scope to improve its products, which attracts more users, generating even more data, and so on.

Fouad Bendris's insight:
A NEW commodity spawns a lucrative, fast-growing industry, prompting antitrust regulators to step in to restrain those who control its flow. A century ago, the resource in question was oil. Now similar concerns are being raised by the giants that deal in data, the oil of the digital era.
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Nike’s Quest to Beat the Two-Hour Marathon Comes Up Oh So Short ! 

Nike’s Quest to Beat the Two-Hour Marathon Comes Up Oh So Short !  | Management - Innovation -Technology and beyond | Scoop.it
THE ATTEMPT WAS beautiful to watch, and a thrilling achievement in itself. But, despite the hype, despite the shoes, despite the millions of dollars of investment, despite the rigorous application of the latest scientific thinking and biomechanical analysis, and despite the mammoth effort of Eliud Kipchoge, the world’s best marathon runner, Nike’s much-publicized attempt to break the two-hour marathon mark came up short this morning at the Autodromo Nazionale Monza outside Milan, Italy. It was a close-run thing, but the two-hour marathon remains unbroken, for now, with Kipchoge finishing his marathon in 2 hours and 25 seconds.
Fouad Bendris's insight:
It was close, but the two-hour marathon remains unbroken. For now. As the finish line approached, Kipchoge somehow found the strength to summon a finishing kick, stopping the clock 25 seconds outside his goal !
“The world is only 25 seconds away,” he said ...  
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Innovation and the Mythical Idealized Future State ! 

Innovation and the Mythical Idealized Future State !  | Management - Innovation -Technology and beyond | Scoop.it

Maps aren’t the territory, but they are a collection of all possible destinations within the design space of the map. If you have the right map, it contains your destination. And for a long time now, the old paper maps have helped people find their destinations. But on their own maps don’t tell us the direction to drive. If you have a map of the US and you want to drive to Kansas, in which direction do you drive? It depends. If in California, drive east; if in Mississippi, drive north; if in New Hampshire, drive west; and in Minnesota, drive south. If Kansas is your idealized future state, the map alone won’t get your there. The direction you drive depends on your location. 


GPS has been a nice addition to maps. Enter the destination on the map, ask the satellites to position us globally and it’s clear which way to drive. (I drive west to reach Kansas.) But the magic of GPS isn’t in the electronic map, GPS is magic because it solves the location problem. 


Before defining the idealized future state, define your location. It grounds the innovation work in the reality of what is, and people can rally around what is. And before setting the innovation direction with the IFS, define the next problems to solve and walk in their direction.

Fouad Bendris's insight:
When it’s time to innovate, the first task is usually to define the Idealized Future State (IFS). The IFS is a word picture that captures what it looks like when the innovation work has succeeded beyond our wildest dreams.
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Holding AI to account: will algorithms ever be free from bias if they're created by humans?

Holding AI to account: will algorithms ever be free from bias if they're created by humans? | Management - Innovation -Technology and beyond | Scoop.it
Life-threatening or not, the algorithms, artificial intelligence and machine learning operating away from public view (Forrester predicts AI investment will grow 300 per cent in 2017) are increasingly being questioned. Technologists, politicians and academics have all called for greater transparency around the systems used by dominant tech firms. The rule of law and universal human rights," need to be baked into the systems of large technology companies. It's even an issue garnering attention at the highest levels, German chancellor Angela Merkel has been the highest office holder to call for less secrecy.
Fouad Bendris's insight:
Algorithms and machine learning are increasingly being used to make more decisions – how should this be approached?
"When algorithms affect human rights, public values or public decision-making we need oversight and transparency"
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10 Principles for Leading the Next Industrial Revolution

10 Principles for Leading the Next Industrial Revolution | Management - Innovation -Technology and beyond | Scoop.it

Tools and techniques to ensure your company will stand out in the new age of digitization.

Establishing Your Strategy

1. Rethink your business model. The business world has become accustomed to disruption. 

2. Build your strategy around platforms. What the value chain was to the old industrial system, the platform is to the new. A platform is a combination of interoperable standards and systems.

3. Design for customers. Because the next industrial revolution is driven by large-scale digital technology, it’s easy to overlook the way it could affect human relationships. The new infrastructure is a web of connections among people: Producers and consumers ... 

4. Raise your technological acumen. No matter what industry you’re in, you live in a programmable world, and software will be key to your competitiveness.

5. Innovate rapidly and openly. Innovation and leadership go hand in hand in the next industrial revolution. Many companies will seek disruptive innovation, but a steady stream of incremental innovations can be more profitable.

6. Learn more from your data. The exponential increase in real-time data — gathered from customers, equipment, and work processes — is giving companies new insights.

7. Adopt innovative financing models. New large-scale technologies inevitably put pressure on the old ways of raising money for them.

8. Focus on purpose, not products. As a leader in the Industrial Internet, you will probably develop a wide range of products and services during any given five-year period, potentially in several sectors.

9. Be trustworthy with data. You already collect a vast amount of data. As the IoT spreads to wearables, consumables, cars, and every conceivable part of the home, what you know about people will increase exponentially.

10. Put humanity before machines. You might think the principle of putting people before machines is so obvious that it goes without saying.


Fouad Bendris's insight:
The next industrial revolution is coming to represent this great wave of technological change. The leaders of this revolution are companies making advances in fields such as robotics, machine learning, digital fabrication (including 3D printing), the Internet of Things (IoT), data analytics and blockchain (a system of decentralized, automated transaction verification). Because these technologies all reinforce the others’ impact, they are leading to a new level of proficiency, and new types of opportunities and challenges for business and for society at large. Put humanity before machines. You might think the principle of putting people before machines is so obvious that it goes without saying
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Ray Kurzweil's Most Exciting Predictions About the Future of Humanity ... 

Ray Kurzweil's Most Exciting Predictions About the Future of Humanity ...  | Management - Innovation -Technology and beyond | Scoop.it
THE FUTURIST - Motherboard has called Ray Kurzweil “a prophet of both techno-doom and techno-salvation.” With a little wiggle room given to the timelines the author, inventor, computer scientist, futurist, and director of engineering at Google provides, a full 86 percent of his predictions — including the fall of the Soviet Union, the growth of the internet, and the ability of computers to beat humans at chess — have come to fruition.
Fouad Bendris's insight:
The tech prophet envisions an exhilarating future for humanity !
Ray Kurzweil is a formidable figure in futuristic thinking, as he is estimated to have an 86 percent accuracy rate for his predictions about the future. The future he envisions is one marked by decentralization of both the physical and mental.
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Marc Kneepkens's curator insight, June 9, 11:43 AM

#AI is progressing quickly. What will the world look like in 10-20 years?

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Out Of The Box Thinking ? 

Out Of The Box Thinking ?  | Management - Innovation -Technology and beyond | Scoop.it
When you're stuck - Try Rubber Ducking  Method ;() 
Fouad Bendris's insight:
When you're stuck - Try Rubber Ducking Method ;()
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Here's the scientific way for you to achieve peak brain performance ! 

Here's the scientific way for you to achieve peak brain performance !  | Management - Innovation -Technology and beyond | Scoop.it
Neuroscientist Friederike Fabritius and Hans Hagemann, co-founder of the Munich Leadership Group, combine science with management consulting to discover which techniques for peak performance actually work, in their book The Leading Brain: Powerful Science-Based Strategies for Achieving Peak Performance. Hagemann recently joined the Knowledge@Wharton show, which airs on SiriusXM channel 111, to discuss science-based strategies for peak performance.
Fouad Bendris's insight:
Advances in cognitive neuroscience are enabling insights into the brain like never before. Hightlight on 5 science-based strategies for peak performance !
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Science Busts The Biggest Myth Ever About Why Bridges Collapse

Science Busts The Biggest Myth Ever About Why Bridges Collapse | Management - Innovation -Technology and beyond | Scoop.it

If you've ever thought the Tacoma Narrows Bridge collapsed due to resonance, you've fallen for the same myth that scientists did.

This wasn't a total failure, however. The engineers who investigated its collapsed began to understand the phenomenon quickly; within 10 years, they had a new sub-field of science to call their own: bridge aerodynamics-aeroelastics. The phenomenon of flutter is now well-understood, but it has to be remembered in order to be effective. The two bridges currently spanning the Tacoma Narrows' previous path have shorn up those flaws, but London's Millennium Bridge and Russia's Volgograd Bridge have both had "flutter"-related flaws exposed in the 21st century.

Fouad Bendris's insight:
If you've ever thought the Tacoma Narrows Bridge collapsed due to resonance, you've fallen for the same myth that scientists did.
Don't blame resonance for the most famous bridge-collapse of all. The true cause is much scarier, and could affect hundreds of bridges across the world if we ever forget to account for, and mitigate, the fluttering effects that brought this one down.
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Innovation in the IT Legacy World ! 

Innovation in the IT Legacy World !  | Management - Innovation -Technology and beyond | Scoop.it
Innovation in the IT Legacy World by Jose Floren “Legacy” seems to be a “bad” word in the business world, and it tends to denote antiquated; methods, software, hardware, etc. Yes, I refer here to many IT Systems that drive businesses. But many “legacy” applications that keep dominating the IT Business world—are Mainframe and Mid-range based. They still manage the bulk of the business transactions. Some popular applications are considered legacy—even though they are short years young. Software Application Packages Here, I will be concentrating in the mainframe and more specifically mid-range market; although this applies as well to Networked based systems, Unix/Linux and Windows based applications. Many Applications Packages as “Canned” Software as they are commonly referred to since a third party develops them. Others called “Home Grown” so referred to as they are developed in-house by resident developers and consultant. They both have, in most cases, designs, methods and source code 20 to 40 years old. Many are maintained with more new programming language’s code (intermixed with various more modern programming languages). Of course, the hardware is often top-of-the-line and state-of-the-art, as they are sometimes easier to migrate to since; they tend to be backward compatible with older hardware. Meaning that a site may be operating with the latest hardware, running antiquated Application software. And losing some of the advantages of more modern hardware architecture.
Fouad Bendris's insight:
“Legacy” seems to be a “bad” word in the business world, and it tends to denote antiquated; methods, software, hardware, etc. Yes, I refer here to many IT Systems that drive businesses. But many “legacy” applications that keep dominating the IT Business world—are Mainframe and Mid-range based. They still manage the bulk of the business transactions. Some popular applications are considered legacy—even though they are short years young.
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Mapping Innovation: Playbook for navigating a disruptive age ! 

Mapping Innovation: Playbook for navigating a disruptive age !  | Management - Innovation -Technology and beyond | Scoop.it
To borrow from Greg’s summary setup, the purpose of this book is threefold… 

In part one, Mapping Innovation: A playbook for navigating a disruptive age will help the reader get a better understanding of innovation by dispelling destructive innovation myths and looks closely at what innovation “is”. 

In part two, it offers readers valuable tools to frame and approach solving the problems that are important to them. And in part three, it will help explain how innovation in the digital age is different from what it was in previous generations and how technology has provided powerful new tools, and why we need to learn to use them.
Fouad Bendris's insight:
Mapping Innovation: Playbook for navigating a disruptive age ] -  [book review] 
Already dowloaded Chapter One below ... Enjoy the reading ;() 

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A Sensor That Could Soon Make Homes Scary-Smart ! 

A Sensor That Could Soon Make Homes Scary-Smart !  | Management - Innovation -Technology and beyond | Scoop.it
IF YOU WANT to set up a connected home, you’ve got two options. You can buy a bunch of smart gadgets that may or may not communicate with other smart gadgets. Or you can retrofit all of your appliances with sensor tags, creating a slapdash network. The first is expensive. The second is a hassle. Before long, though, you might have a third choice: One simple device that plugs into an electrical outlet and connects everything in the room.
Fouad Bendris's insight:
University researchers create a simple device that plugs into an electrical outlet and connects everything in the room.
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Data analytics firms join to standardize deep learning on graphics chips !

Data analytics firms join to standardize deep learning on graphics chips ! | Management - Innovation -Technology and beyond | Scoop.it
The GPU Open Analytics Initiative aims to develop a community of data science and deep learning workloads running on graphics processing units such as those made by Nvidia Corp. To kick things off, the group has unveiled a Python-based application programming interface that begins to address that aim.
The approach will also benefit users of Anaconda, the open data science platform, which relies on GPUs. Using Nvidia’s technology, Anaconda is mobilizing the Open Data Science movement by helping teams avoid the data transfer process between CPUs and GPUs and move nimbly toward their larger business goals ! 
Fouad Bendris's insight:
Data analytics suppliers Continuum Analytics Inc., H20.ai and MapD Technologies Inc. said today they’re joining forces to create standards for using graphics chips in analytics ! 
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Why neural networks and deep learning hold the secret to your health

Why neural networks and deep learning hold the secret to your health | Management - Innovation -Technology and beyond | Scoop.it
We’re supposed to eat less, work out more and use less salt. These goals rarely materialize into a productive pattern. Our behavior doesn’t change. Even with the incredible amount of information available, we choose not to change. Artificial neural networks (ANN) have the ability to influence medical diagnoses and change our behavior. Change is more than what you should or shouldn’t do. How you connect data and squeeze out information also impacts our ability to change. Artificial neural networks have a wide range of uses in science and technology with applications across chemistry, physics and biology. The simulation of neural networks has been used to enhance group tactics for playing soccer, fighting crime, accelerating facial image processing and expanding nanotechnology.
Fouad Bendris's insight:
Your daily habits could be interrupted by connected systems enabling access to new processing paradigms. Information processing systems inspired by biological nervous systems may change your diagnosis.
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Artificial Lawyer Spring Review – AI’s Green Shoots

Artificial Lawyer Spring Review – AI’s Green Shoots | Management - Innovation -Technology and beyond | Scoop.it
Artificial Lawyer is back from Easter holidays and it seemed a fitting time to do a short review of where we are today in Legal AI Land and where the sector's green shoots have got to. Back at Christmas last year the legal AI market was burning red hot with a myriad of companies coming to…
Fouad Bendris's insight:
A (Relatively) Maturing Market - While it may seem to some onlookers that the world of AI-driven document analysis, primarily through the use of natural language processing (NLP), is going bananas (to use a technical phrase), the reality is that the number of doc analysis companies for areas such as due diligence, compliance and lease extraction has not significantly grown since the end of 2016.
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