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Market Sizing - Business Analytics and Big Data

Market Sizing - Business Analytics and Big Data | Strategy, HR, Data and AI | Scoop.it
"Google, Facebook are really big data companies, not software companies. They collect data, process it and sell it back with value added extensions. They don't have better algorithms. They simply h...
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Meet Generation Z: The Newest Member to the Workforce

Meet Generation Z: The Newest Member to the Workforce | Strategy, HR, Data and AI | Scoop.it
As Millennials enter their early-30s, the focus is now shifting to Generation Z - a group that is just starting to enter the workforce for the first time.
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Rescooped by massimo facchinetti from Strategies for Managing Your Business
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The 3 Challenges Every New CEO Faces

The 3 Challenges Every New CEO Faces | Strategy, HR, Data and AI | Scoop.it
Managing their energy, engaging their boards, and getting the right information.

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10 Big Data Trends to Watch in 2019

10 Big Data Trends to Watch in 2019 | Strategy, HR, Data and AI | Scoop.it
We seek ever more data for a good reason: it's the commodity that fuels digital innovation. However, turning those huge data collections into actionable

Via Tony Shan, ArrowECS
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How AI Improves Customer Lifetime Value and Makes It a Primary KPI

Customer lifetime value is a big focus for marketers right now. How can you create the most value for your customers & prospects? With artificial intelligence (AI), marketers can uncover what their customers truly want and need to drive value through the entire customer lifecycle.
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The Future of Artificial Intelligence Apps & Smartphone AI

The Future of Artificial Intelligence Apps & Smartphone AI | Strategy, HR, Data and AI | Scoop.it
The Future of Artificial Intelligence Apps & Smartphone AI We’re already seeing artificial intelligence apps such as Google Lens (camera search) and Netflix (recommendation algorithms), but could app developers be doing more with machine learning and smartphone AI? Let us know your thoughts

Via TechinBiz, oconnorandkelly
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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.

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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, 8:39 AM

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 7:41 AM

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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The 100 Most Promising AI Startups You Need To Know

The 100 Most Promising AI Startups You Need To Know | Strategy, HR, Data and AI | Scoop.it
The most promising 100 AI startups working across the artificial intelligence value chain, from hardware and data infrastructure to industrial applications.

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Rescooped by massimo facchinetti from Technology in Business Today
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9 Tips to Start Your AI Business 

9 Tips to Start Your AI Business  | Strategy, HR, Data and AI | Scoop.it
Artificial Intelligence (AI) is all around us. From simple calculators to complex flight control systems, AI makes an omnipresent phenomenon that influences almost all aspects of our daily lives. In such circumstances, it’s not so strange to think about launching your own AI company. According to the report, over 80% of businesses say AI is a strategic priority for their organizations. At the same time, the share of jobs requiring AI has increased by 450% in the last five years. These and many other stats prove the growing demand in the field of AI-based technologies. But can you really establish your own business in this field? Do you know the basic steps you need to take before launching a brand new company? If not, you might find this article very interesting as we are about to present you nine tips to kickstart your AI business. AI: Definition and Benefits Before you start learning more about AI in business, you must get yourself acquainted with this concept and the corresponding benefits. By definition, AI represents the capability of a machine to imitate intelligent human behavior. As such, the technology comes with a number of advantages that have the power to substantially improve the way we live and do business. The most important benefits of AI are these: Automation: AI can handle most tasks as accurately as humans, but it can do it much faster and more efficiently. There is no need for boring manual work anymore because the system automates the majority of processes. Business intelligence: Machine learning and neural language processing can derive meaningful conclusions from seemingly unrelated data sources. This drastically improves business intelligence and enables companies to make better decisions. Cost reduction: Automating jobs, AI saves businesses both time and money. Customer service improvements: Modern customer relationship services depend on AI. For instance, proofreading service and cheap writing service both use AI-based chatbots to ensure availability 24/7. Medicine: AI improves healthcare by detecting complex patterns faster than humans, allowing doctors to react promptly and prevent life-threatening outcomes. The number of applications is literally unlimited, but we wanted to highlight the areas where AI already made a significant impact. You know the big picture and now we can go to the next chapter of our post. How to Prepare for Launching an AI Business You can never be too careful when starting a new business, but you have to begin somewhere. That’s why we decided to cut the long story short and present you nine fundamental things to do before launching your AI company. Let’s check them out: Learn about AI If you want to choose the field that suits your professional experience, you need to understand how AI works and learn everything about it. Fortunately, the Internet is filled with valuable online learning resources, so you just have to conduct small research to find the best ones. For instance, there are bases such as Google AI or Stanford Machine Learning course, but you can also consult with AI experts at Australian writer or Brill Assignment. Solve a common problem Once you learn more about AI, you should choose the niche that solves a common problem. The worst thing that could happen is to create a product that has minimal market potential, so make sure there is enough demand before taking any concrete steps. Analyze investments Investment analysis is another important aspect of launching your AI business. Try to answer these questions as precisely as possible: Is it a reasonable project with manageable milestones? Can I accumulate enough money and maintain a healthy cash flow in the long run? If the answers to both questions are satisfactory, you can continue. Organizational demands Budgeting is one thing, but organizational capabilities are something completely different. AI projects demand full focus, a lot of time, and manpower. Can you really handle it? Can you overcome administrative barriers? Think about every little detail of the business because it’s the only way to keep everything under control. Set tangible goals At this point, you should have a clear idea about your AI business and the targeted niche. Now you need to define professional expectations and set tangible goals in terms of product launch, pricing, marketing strategy, and return on investment. That way, you can analyze progress in short, mid, and long-term perspective. Hire experts No matter how much you learn about AI, you still need a team of experts to help you with the execution. You should hire well-experienced AI professionals to lead the development team. At the same time, you need to find marketing specialists to help you with product placement, hire a writer for content creation purposes, and consider adding more stuff to manage other everyday duties. Run a pilot project You don’t have to go “all in” immediately. Instead, you can run a pilot project to see how the first consumers react to your product or service. It’s a trial stage during which you want to identify the strengths and weaknesses of your project. Refresh your database In order to function properly, AI businesses must use clean and accurate sources of information. What does it mean? It means you have to refresh your database by removing duplicates and old entries, allowing the system to function flawlessly and generate the best results possible. Be persistent The last tip on our list is to be persistent and don’t give up. You will be facing a lot of obstacles in this process, so make sure to keep composure at all times – regardless of the competition. Conclusion AI is one of the fastest-growing industries globally, which gives entrepreneurs a huge potential to start their own businesses in this field. However, it’s a demanding and time-consuming process, so you need to be careful and prepare well for the coming challenges. In this post, we showed you the benefits of the new technology and discussed nine tactics to start your own AI business. We hope these suggestions can help you launch a brand new company, but feel free to leave a comment if you need additional explanations – we will be glad to help you out! Peter Hill is working for professional assignment writing services Assignment Masters and Assignment Holic. He is a socially active person, likes traveling and photo/video editing. He also finds himself in writing for online resume writing service Resumes Planet. If you would like to have your company featured in the Irish Tech News Business Showcase, get in contact with us at [email protected] or on Twitter: @SimonCocking

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Demystifying AI, Machine Learning and Deep Learning

Demystifying AI, Machine Learning and Deep Learning | Strategy, HR, Data and AI | Scoop.it
This was the first serious proposal in the philosophy of artificial intelligence, which can be explained as: a science developing technology to mimic humans to respond in a circumstance.

Via THE OFFICIAL ANDREASCY
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Understanding the power of data science

Understanding the power of data science | Strategy, HR, Data and AI | Scoop.it
There is no danger anytime soon of a data drought, but how do we make effective use of what we have?

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Rescooped by massimo facchinetti from Société, Culture Numérique, Innovation
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Le devenir robot de l'humain

Le devenir robot de l'humain | Strategy, HR, Data and AI | Scoop.it
Afin de l'utiliser efficacement, l’humain aligne – consciemment puis inconsciemment – son comportement et sa pensée sur le modèle plus standard de l’IA. C’est un humain qui se robotise par anticipation.

Via Edtech By MS.B
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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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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, 10:28 AM

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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