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2019 AI Predictions: Six priorities you can’t afford to ignore

2019 AI Predictions: Six priorities you can’t afford to ignore | Strategy, HR, Data and AI | Scoop.it
Businesses have big plans for AI: 20% of US executives surveyed are going all-in this year, rolling out AI across their companies.

Via THE OFFICIAL ANDREASCY
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Google Brain Is Morphing Into A Translator for Artificial Intelligence

Google Brain Is Morphing Into A Translator for Artificial Intelligence | Strategy, HR, Data and AI | Scoop.it
Neural networks are famously incomprehensible, so Been Kim is developing a “translator for humans.”

 

If a doctor told that you needed surgery, you would want to know why — and you’d expect the explanation to make sense to you, even if you’d never gone to medical school. Been Kim, a research scientist at Google Brain, believes that we should expect nothing less from artificial intelligence. As a specialist in “interpretable” machine learning, she wants to build AI software that can explain itself to anyone.

 

Since its ascendance roughly a decade ago, the neural-network technology behind artificial intelligence has transformed everything from email to drug discovery with its increasingly powerful ability to learn from and identify patterns in data. But that power has come with an uncanny caveat: The very complexity that lets modern deep-learning networks successfully teach themselves how to drive cars and spot insurance fraud also makes their inner workings nearly impossible to make sense of, even by AI experts. If a neural network is trained to identify patients at risk for conditions like liver cancer and schizophrenia — as a system called “Deep Patient” was in 2015, at Mount Sinai Hospital in New York — there’s no way to discern exactly which features in the data the network is paying attention to. That “knowledge” is smeared across many layers of artificial neurons, each with hundreds or thousands of connections.

 

As ever more industries attempt to automate or enhance their decision-making with AI, this so-called black box problem seems less like a technological quirk than a fundamental flaw. DARPA’s “XAI” project (for “explainable AI”) is actively researching the problem, and interpretability has moved from the fringes of machine-learning research to its center. “AI is in this critical moment where humankind is trying to decide whether this technology is good for us or not,” Kim says. “If we don’t solve this problem of interpretability, I don’t think we’re going to move forward with this technology. We might just drop it.”

 

Kim and her colleagues at Google Brain recently developed a system called “Testing with Concept Activation Vectors” (TCAV), which she describes as a “translator for humans” that allows a user to ask a black box AI how much a specific, high-level concept has played into its reasoning. For example, if a machine-learning system has been trained to identify zebras in images, a person could use TCAV to determine how much weight the system gives to the concept of “stripes” when making a decision.

 

TCAV was originally tested on machine-learning models trained to recognize images, but it also works with models trained on text and certain kinds of data visualizations, like EEG waveforms. “It’s generic and simple — you can plug it into many different models,” Kim says.


Via Dr. Stefan Gruenwald
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5 Data and AI Trends for 2019

5 Data and AI Trends for 2019 | Strategy, HR, Data and AI | Scoop.it
What are some of the big data-oriented trends for enterprise programs and culture in 2019? Here's a look.

Via Greg Deckler
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Greg Deckler's curator insight, January 7, 1:39 PM

Very nice, thoughtful article. Good quick read.

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3 Examples Of Old Industries Embracing Digital Disruption

3 Examples Of Old Industries Embracing Digital Disruption | Strategy, HR, Data and AI | Scoop.it
Technology is constantly disrupting old industries, even ones you never thought would change. But why should people pay attention to this? Let’s dive in by looking at three examples of old industries using digital transformation to disrupt their business model.
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Rescooped by massimo facchinetti from Culture, Leadership, Management, OrgDesign, HR & more
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Top 5 organizational change trends in 2019

Top 5 organizational change trends in 2019 | Strategy, HR, Data and AI | Scoop.it
These are the top 5 trends that will affect change consultants and OD practitioners work in 2019 and beyond. Check out the list and let us know what you think!

Via Christian Bartosik
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Nine charts that really bring home just how fast AI is growing

Nine charts that really bring home just how fast AI is growing | Strategy, HR, Data and AI | Scoop.it
Artificial intelligence is booming in Europe, China, and the US, but it’s still a very male industry.
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Martin (Marty) Smith's curator insight, December 19, 2018 12:41 PM

AI is self-reinforcing i.e. it makes life easier and thus makes money. Combination of AI with big data, or the use of large blocks of data exposing patterns, will change e-commerce...and everything else. 

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The Heart of Innovation: 10 Ways to Improve Your Company's Broken Ideation Process

The Heart of Innovation: 10 Ways to Improve Your Company's Broken Ideation Process | Strategy, HR, Data and AI | Scoop.it
Creativity, Innovation, Team Building, Leadership, Brainstorming, Idea Champions

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A Guide To Corporate Innovation: 19 Strategies To Drive Innovation Now

A Guide To Corporate Innovation: 19 Strategies To Drive Innovation Now | Strategy, HR, Data and AI | Scoop.it
After the success of Corporate Innovation Theater, we wanted to issue a more comprehensive guide to corporate innovation. Something actionable and easy to digest. Given the importance of innovation to drive the longevity, growth, and competitiveness of large corporations, here …

Via SwissLEAP Ltd - Oliver Durrer
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What is machine learning? Everything you need to know

What is machine learning? Everything you need to know | Strategy, HR, Data and AI | Scoop.it
This guide explains what machine learning is, how it is related to artificial intelligence, how it works and why it matters.
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Scriot's curator insight, December 9, 2018 12:52 AM
On a découvert par la suite que leurs besoins étaient très grands
Rescooped by massimo facchinetti from WHY IT MATTERS: Digital Transformation
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La déclaration de Montréal sur l'Intelligence artificielle via @LePoint #mustRead #inFrench

La déclaration de Montréal sur l'Intelligence artificielle via @LePoint #mustRead #inFrench | Strategy, HR, Data and AI | Scoop.it

« Dans tous les domaines où une décision affecte la vie, la décision finale devrait revenir à un être humain »

Cette semaine, qui verra également une réunion du G7, sera aussi l'occasion de la présentation d'un texte historique, la « Déclaration de Montréal » que nous publions ci-dessous en exclusivité. Signée par plusieurs chercheurs éminents comme Yoshua Bengio, professeur à l'université de Montréal, Joëlle Pineau, professeure agrégée en sciences des données à l'université McGill, ou encore Marc-Antoine Dilhac, professeur au département de philosophie de l'université de Montréal, elle dresse une liste de principes pour encadrer les recherches en intelligence artificielle.


Via Farid Mheir
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Farid Mheir's curator insight, December 5, 2018 8:02 PM

WHY IT MATTERS: this is a major effort by AI leaders. Most interesting when you read it backwards, it sheds light on what is possible or will soon be possible by AI algorithms. Must read.

Richard Bedoya's curator insight, December 6, 2018 2:38 AM
UH 60 el poder de los cielos
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4 Analytics Concepts Every Manager Should Understand

4 Analytics Concepts Every Manager Should Understand | Strategy, HR, Data and AI | Scoop.it
From A/B testing to linear regression.
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IBM claims new tool can ‘explain AI’ and detect bias

IBM claims new tool can ‘explain AI’ and detect bias | Strategy, HR, Data and AI | Scoop.it
Will give executives more confidence to roll-out AI, Big Blue says...

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Rescooped by massimo facchinetti from Strategic Knowledge Sciences
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How AI Is Changing The Future Of Medicine

How AI Is Changing The Future Of Medicine | Strategy, HR, Data and AI | Scoop.it
Roy Smythe, Chief Medical Officer, Strategy and Partnerships at Philips talks about how the use of artificial intelligence can be effectively applied to healthcare.

Via J. Steven Sprenger ✔
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Rescooped by massimo facchinetti from Personal Branding & Leadership Coaching
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Why humans will remain central to the future of work

Why humans will remain central to the future of work | Strategy, HR, Data and AI | Scoop.it
Don't sweat the robot revolution. Our jobs may change, but human skills such as imagination and ingenuity will continue to be key.

Via SwissLEAP Ltd - Oliver Durrer, Stefano Principato
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Rescooped by massimo facchinetti from Family Office & UHNW - Empowering Family Dynasties
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The Jeff Bezos Empire in One Giant Chart

The Jeff Bezos Empire in One Giant Chart | Strategy, HR, Data and AI | Scoop.it
Jeff Bezos is the world's richest person with $137 billion - here is the surprising breadth of companies and investments he owns outside of Amazon.
Via Enzo Calamo
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5 Industries That Are Ready to Be Disrupted in 2018

5 Industries That Are Ready to Be Disrupted in 2018 | Strategy, HR, Data and AI | Scoop.it
The market conditions are right for these spaces to be turned upside down.
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The Damnation of Differentiation: How to Be Seen in an Ocean of Competitors Just Like You

The Damnation of Differentiation: How to Be Seen in an Ocean of Competitors Just Like You | Strategy, HR, Data and AI | Scoop.it

Perhaps the first thing to consider- which most suppliers don’t bother to do (to their detriment)- is the buyer’s standpoint. What are they trying achieve? What pressures are they under? What is their world like? What have they likely been hearing from my competition?


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eGrimesDirect's curator insight, January 4, 3:28 PM

Every day we collect info on how we can be better - internally and externally.

Every week we compare notes and prioritize improvements that will yield the best return.

Every month we plan, design and execute the solution.

Rescooped by massimo facchinetti from Outsourcing Network Intelligence - Revue de presse digitale
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Chatbots: Quelles évolutions en 2019?

Chatbots: Quelles évolutions en 2019? | Strategy, HR, Data and AI | Scoop.it
Si l'utilisation des chatbots a été en forte croissance cette année, 2018 aura aussi vu l'apparition des premières critiques à leur encontre, tant du coté...

Via OUTSOURCING NETWORK INTELLIGENCE
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8 top artificial intelligence and analytics trends for 2019

8 top artificial intelligence and analytics trends for 2019 | Strategy, HR, Data and AI | Scoop.it
Artificial intelligence will deliver approximately $2 trillion worth of business value worldwide over the next year. Companies that fail to adopt AI will lose out. Some industries may even be wiped out.

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The Corporate Innovation Ecosystem —

The Corporate Innovation Ecosystem — | Strategy, HR, Data and AI | Scoop.it
Check out this compelling visual that picks up on corporate innovation habits that we’re also seeing in the field.

Via SwissLEAP Ltd - Oliver Durrer
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Canada and France plan an international panel to assess AI’s dangers

Canada and France plan an international panel to assess AI’s dangers | Strategy, HR, Data and AI | Scoop.it
Other nations may soon join a council to discuss the impact and the potential of artificial intelligence.
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Rescooped by massimo facchinetti from Outsourcing Network Intelligence - Revue de presse digitale
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Big Data : Le trafic mondial de données multiplié par 5 d’ici 2025

Big Data : Le trafic mondial de données multiplié par 5 d’ici 2025 | Strategy, HR, Data and AI | Scoop.it
Si l’on parle aujourd’hui de Big Data, il faudra parler demain de ” Huge ” Data. Selon une nouvelle étude IDC, le volume total de données stockées sur notre planète atteindre 175 Zo en 2025 soit 5,3 fois plus qu’aujourd’hui.

Via OUTSOURCING NETWORK INTELLIGENCE
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OUTSOURCING NETWORK INTELLIGENCE's curator insight, December 7, 2018 6:48 AM

Que d'infos qui circulent... et vont continuer à circuler !

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The Ten Types of Innovation Framework - and How to Use It

The Ten Types of Innovation Framework - and How to Use It | Strategy, HR, Data and AI | Scoop.it
Innovating beyond the lens of product and R&D, the Ten Types of Innovation framework gives us a way to think about innovation from a broad perspective, and help strike breakthroughs.
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Rescooped by massimo facchinetti from Smarter Business
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9 Ideas That Summarise The Future of Work (And How You Can Prepare For it)

9 Ideas That Summarise The Future of Work (And How You Can Prepare For it) | Strategy, HR, Data and AI | Scoop.it
The industrial revolution required routine skills. Most of them are no longer sufficient to thrive and do better in the current evolution of work. Today, any field including, legal, finance, biotech…

Via Ana Cristina Pratas, oconnorandkelly
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Nine Short Innovation Lessons from Lego

Nine Short Innovation Lessons from Lego | Strategy, HR, Data and AI | Scoop.it
Lego is now revered as one of the most innovative and successful companies in the world. But in 2003 the company was $800m in debt and on the verge of bankruptcy.

Via SwissLEAP Ltd - Oliver Durrer
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