Applied AI Digest

Applied AI Digest 33

 


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Investing in AI offers more rewards than risks

By 2018, robots will supervise more than 3 million human workers; by 2020, smart machines will be a top investment priority for more than 30 percent of CIOs. Read more.

The Next Wave of Deep Learning Applications

In the last two weeks alone we have seen research that breaks new ground in each of the following domains via neural networks and advanced machine learning frameworks. Read more.

Ten Myths About Machine Learning

Machine learning used to take place behind the scenes: Amazon mined your clicks and purchases for recommendations, Google mined your searches for ad placement, and Facebook mined your social network to choose which posts to show you. Read more.

Artificial Intelligence Software Is Booming. But Why Now?

It’s all very exciting, the way great possibilities are, and clearly full of great buzzwords and slogans. But will other companies see any value in all this or understand if A.I. has value for them? Read more.

Air freights, drones, and the Internet of Things: what is the future of the supply chain?

Since the dawn of the Industrial Revolution, the global supply chain hasn’t really changed all that much. Products are made from raw materials in factories, shipped off somewhere else (either by land or sea), stored in a warehouse, and then distributed to retailers. Read more.

Federal Automated Vehicles Policy

 

 

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Applied AI Digest is a weekly email curated by Luigi Congedo and the BootstrapLabs team to share the latest insights and innovations happening in the field of Artificial Intelligence. 


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How to Learn Machine Learning by Ben Levy

(This article was originally published at techemergence.com)


How to Learn Machine Learning – an Investor’s Perspective

Episode Summary: There’s been lot of hype around AI and ML in business over the past five years. Even among investors exist a lot of misconceptions about using ML in a business context, and how to get up to speed on and learn machine learning as it applies to utility in industry. Recently, I talked with Benjamin Levy of BootstrapLabs in San Francisco, whom I met through an investment banking friend in Boston.

BootstrapLabs invests in Bay area companies, and Levy also travels around the world speaking about investing in AI companies and raising funds for new ventures. In this episode, Levy gives his perspective on what investors and executives get wrong about ML and and AI, and discusses how they can get up to speed and leverage the applications for these technologies and related expertise to really make a difference (i.e. increased ROI) in their businesses.

Expertise: Technology; Corporate Development & Strategy; Product Development

Brief Recognition: Ben Levy is the co­-founder of BootstrapLabs, a leading venture capital firm, based in Silicon Valley and focused on Applied Artificial Intelligence.

Born in France and living in Silicon Valley for the past 18 years, Ben is a repeat entrepreneur who launched, built, and exited two startups in the financial technology space. Praedea Solutions, a data mining software company using machine learning and image recognition technology, was acquired by Mergent in 2005, and InsideVenture, a financial social network for the founders of venture-­backed pre-­IPO startups and long­-only institutional investors on Wall Street, was acquired by SecondMarket in 2009 (and is now part of NASDAQ).

Earlier in his career, Ben was a Technology, Media, and Telecom Investment Banker who advised startup founders and CxOs of Fortune 500 companies on corporate strategy, financing, and M&A. Ben is also a frequent keynote and panel speaker on innovation, technology investing, entrepreneurship, artificial intelligence, and globalization in the US, Europe, and Asia.

Current Affiliations: Co-founder of BootstrapLabs

Interview Highlights:

The following is a condensed version of the full audio interview, which is available in the above links on TechEmergence’s SoundCloud and iTunes stations.

(1:54) What do you see as some of the bigger misconceptions around machine learning in industry by business people and investors?

Benjamin Levy: We’ve had the benefit of traveling around the world…we talk to executives, family offices, people that are running businesses, and I think there’s been a lot of hype around AI…it’s nothing new, it’s been around about 50 years, there’s been an incredible breakthrough lately, but that’s coming as a result of the explosion of big data, of computing power at scale…

…I think it actually starts with basic lack of understanding of how the technology is going to impact their business…if you’re a business person, at the end of the day, you’re going to be caring about your ROI—is my product better, faster, cheaper; am I selling it to my customers and are my customers happier, and am I competitive. In 2 to 3 years, people will not be selling you AI software, they’ll be selling you upgrades, and that upgrade will have a lot of machine intelligence and a lot of AI, and you’re not going to talk about it because the way you sell AI technology is not going to change…now, the ability that you have as an executive, to have the right talent in-house to evolve your products so that they become smarter…that is the hard part….

(7:20) Talk about the notion (that you mentioned) of “lumpier” in the markets —what do you mean in that regard?

BL: If you look at the global perspective…just from a pure business stand point, we live in a world that is a lot more subject to interconnections and prices impacting one another and the terminal effect, I think in a world where we’re going to continue to see these ups and downs…the waves of disruptions are going to come in faster and faster…if you think about AI, we went from a world where we started to automate to a world that’s becoming more autonomous, a lot more intelligent; so we look at a world that is machine intelligence augmented by human beings…the two combine, but we’re going to move from a world where 80 percent of the work is being done by humans and 20 percent is begin done by machines to a world where 80 percent of the work is done by machines and 20 percent of the work is done by humans…

(10:14) Do you think that people are prepared for the investment involved?

BL: …are you going to be as a business investing heavily in your own capabilities of adopting and applying AI technologies so that you do? Who owns AI inside your company, who owns automation, and who’s going to be driving products that incorporate this other way of looking at things and solving problems?…There’s so many cooks in the kitchen on the inside is side in the corporations; on the other side, you have a lack of vision as to what these products and endpoint should be…

(12:50) What is the talent game for (those outside of Silicon Valley)…what does it look like for the folks who aren’t in the Bay?

BL: …when I think about these dynamics, if you were to be a startup in France focusing on AI, you have a great local pool of talent and you’re not in as much aggressive competition with the local Googles and Facebooks and Amazons of the world that they want to suck up all the talent from these universities, so play that to your advantage. We only invest in companies in Silicon Valley (SV), but the founders can be from anywhere in the world, the company could have ben started elsewhere, which means that we’re completely in favor of you maintaining an R&D somewhere in the place where you come from, where you speak the language, where you know the universities….

(18:35) What do companies do to start to grasp what is possible, see how they could be disrupted, where the opportunities lie?

BL: As a venture capitalist, we’re in a very unique, privileged position…we are educated constantly so we see patterns that are very interesting; my advice would be, talk to people who are in the business to get smarter and wiser, not just by reading things…but you need to talk to people that are on the front lines, who are doing it, you need to potentially be a corporation investing in (venture) funds as well…

…people should be using budgets to actually learn, you should be thinking where can we allocate money…you might actually get closer to people who organize that (sponsored) event and have incredible access, you could be working with incubators and accelerators…there’s a few different tools that corporations have that are accessible to them.

Big Ideas:

1 – People are not buying AI as a company, they’re buying results – a return on investment. AI shouldn’t be looked on as a “neat” thing, but something that has requirements, costs, and results, with a need for smart business decisions, the same as any valuable business tool.

2 – SV doesn’t necessarily have more talent, it just has more resources that allow companies to scale. AI and ML companies can and should get started and grow outside the SV ecosystem. The reason BootstrapLabs wants those companies to eventually have a presence in SV is the ability to scale ideas and ROI; returns are driven by acquisitions, and most of those willing to pay for these technologies are in SV.

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Applied AI Digest Review 2016

See the most impactful artificial intelligence news of 2016.

Applied AI Digest is a weekly email curated by BootstrapLabs to share the latest insights and innovations happening in the field of Artificial Intelligence.

Please help us to grow the community by forwarding this page to your friends who are interested in learning more about AI.

If you are already a subscriber and would like to help us improving the quality of this newsletter and contact us to collaborate with us, share feedback or propose new ideas.

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Job Automation Predictions from 2016 Silicon Valley Survey

This article was originally published on http://techemergence.com/ and it`s the result of a collaboration between BootstrapLabs and Techemergence.


Job automation predictions from an individual expert typically draw from years of academic research experience, or time “in the trenches” of industry. With growing interest and speculation on the job market of the next decade, we set out to garner a perspective as to what Silicon Valley thinks about the possibilities of automations in various business tasks.

We wanted to know – what work functions have the most potential for near-term automation?

In the infographics and article below, we explore the survey responses from nearly 80 Bay Area investors, founders, and tech folks – on which business functions have the greatest potential for automation today, and in the coming five years ahead.

Together with San Fransisco-based venture firm BootstrapLabs, we designed a simple survey that was handed out during their “Autonomous Corporation” event in November 2016. Below are the responses to this survey, and our interpretations and gleaned ideas:

bootstraplabs-automated-corporation

Automation Predictions – Current

It is interesting to note all three groups of respondents considered business intelligence to be the business function with the most current automation potential.

Similarly, investors, founders, and “other” respondents were also unanimous in ranking human resources as the business function with the least current automation potential. It seems plausible that job automation in the HR department is less likely than the BI department, and that the predictions of our respondents would reflect this.

A uniform response for “highs” and “lows” was not expected, and seems to signal that there is strong shared sentiment around those two particular business functions.

While there seemed to be relative consensus around business intelligence, human resources, and marketing, other business functions – such as security and finance – didn’t have the same uniform optimism or pessimism across respondent groups.

Automation Predictions – 5 Years Out

It seemed highly unlikely from the outset, but one major trend resounded from the “Current” survey section to the responses in the “5 Year Future” section: Business intelligence again ranked highest amongst all options by all three groups, and human resources again ranked dead last for all three groups as well.

Based on the survey size (78 respondents, about one third investors, one third founders, one third “other”), this is by no means conclusive. There are no “conclusive” predictions in the first place (good startup idea though, someone should work on that). Rather, this seems

Manufacturing stands out as a major outlier from “current” to “5 years out.” Ranked among the lowest areas of current automation, manufacturing jumped ahead to nearly overtake business intelligence for the area of most optimism in the coming five years. It is possible that this is due to the heavier hard-cost investment of industrial manufacturing processes as compared to domains like business intelligence, marketing, of finance – where “automation” never has to reach it’s robot arms into the real world.

It is interesting to note that the current industry trends in funding AI and machine learning doesn’t seem to provide much evidence for heavy investment in manufacturing, so we might presume that the optimism of the investors and founders in the crowd spawned from another source.

Read more at: http://techemergence.com/job-automation-predictions-silicon-valley-survey/

Applied AI Digest

Applied AI Digest 32


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Pittsburgh, your self-driving Uber is arriving now

Introducing Salesforce Einstein – AI for Everyone

Powered by advanced ML, deep learning, predictive analytics, natural language processing and smart data discovery, Einstein’s models will be automatically customized for every single customer, and it will … read more.

Angel.ai, a company that builds chat bots, acqui-hired by Amazon

The e-commerce giant confirmed that Angel.ai co-founder and CEO Navid Hadzaad has joined the company. “I can confirm that Navid started at Amazon, and that his first day was yesterday. Read more.

Infographic: The bot platform ecosystem

Behind the recent bot boom are big improvements in artificial intelligence and the rise of ubiquitous messaging services. In the graphic below, I’ve listed some of the most important AI.. read more.

Need Some AI? Yeah, There’s a Marketplace for That

It’s a legitimate worry. Elon Musk and Sam Altman are worried about the same thing. That’s why they created a startup called OpenAI. Read more.

Google acquires natural language understanding startup Api.ai

Google today said that it has acquired API.ai, a startup with tools for speech recognition and natural language understanding. Terms of the deal were not disclosed. Read more.

 

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Applied AI Digest is a weekly email curated by Luigi Congedo and the BootstrapLabs team to share the latest insights and innovations happening in the field of Artificial Intelligence. 


Please help us to grow the community by forwarding this email to your friends who are interested in learning more about AI.

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Applied AI Digest

Applied AI Digest 31


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Join us tomorrow during the Pioneer Summit 2016!

Ben Levy, BootstrapLabs’ co-founder will be on stage at 2pm to discuss the impact of AI in the Real World!

From Virtual Nurses To Drug Discovery: 90+ Artificial Intelligence Startups In Healthcare

In our quarterly analysis of companies pursuing healthcare-focused applications of AI, we reported that deals leapt from less than 10 in 2011 to 60 in 2015. Read more.

Walmart is patenting ‘mini-robot’ technology that could have terrifying implications for workers

Walmart was granted a patent for a new system that allows shopping carts to drive themselves, untouched by customers and employees. Read more.

One Hundred Year Study on Artificial Intelligence (AI100)

Stanford University has invited leading thinkers from several institutions to begin a 100-year effort to study and anticipate how the effects of artificial intelligence will ripple through every aspect of how people work, live and play. Read more.

Nvidia Chases Bigger (And Better) Chunk Of Burgeoning Artificial Intelligence Market

Nvidia is hungry for more of the artificial intelligence market. Already, its beefy graphics processing units (GPUs) are the standard for training deep learning AI algorithms. Read more.

Academics say the technology is letting policemen detect crime that hasn’t taken place yet

MINORITY CRIME REPORTS: Cops using artificial intelligence to stop crimes BEFORE they happen, researchers warn.. read more.

 

Applied AI Digest is a weekly email curated by Luigi Congedo and the BootstrapLabs team to share the latest insights and innovations happening in the field of Artificial Intelligence. 


Please help us to grow the community by forwarding this email to your friends who are interested in learning more about AI.

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Applied AI Digest 30


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How Tech Giants Are Devising Real Ethics for Artificial Intelligence

For years, science-fiction moviemakers have been making us fear the bad things that artificially intelligent machines might do to their human creators.  Read more.

3 Magical Ways Artificial Intelligence Can Save Your Time

AI technology is making inroads into many different areas of your life, and it’s doing some exciting everyday stuff too — like helping you get through your day by making email more efficient and taking the hassle out of scheduling meetings. Read more.

Intel’s Latest Acquisition Is All About Giving Sight to Machines

Movidius makes system-on-a-chip (SoC) platforms that are designed to aid computer vision applications, and also has algorithms for things like deep learning, navigation and depth processing. Read more.

 

How Artificial Intelligence Will Transform The Delivery Of Legal Services

“The job market of the future will consist of those jobs that robots cannot perform.” Read more.

When artificial intelligence judges a beauty contest, white people win

The foundation of machine learning is data gathered by humans, and without careful consideration, the machines learn the same biases of their creators. Read more.

Come see our previous newsletters

Applied AI Digest is a weekly email curated by Luigi Congedo and the BootstrapLabs team to share the latest insights and innovations happening in the field of Artificial Intelligence. 


Please help us to grow the community by forwarding this email to your friends who are interested in learning more about AI.

Feel free to forward this email or share it with your network.

 

Applied AI Digest

Applied AI Digest 29


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The AI revolution is coming fast. But without a revolution in trust, it will fail

For the first time, artificial intelligence (AI) is moving into the mainstream, and thanks to the convergence of increasing computing power, big data and machine learning, it’s reshaping the world we live in and our relationships with technology and each other. Read more.

CIA to Spy on Earth Using Artificial Intelligence

Private conversations and moments might not be so private anymore following CIA’s latest plan. A CIA-linked firm is reportedly joining forces with Amazon. This is to spy on earth in an unprecedented detail. Read more.

How front-end development can improve Artificial Intelligence.

What’s holding back Artificial Intelligence? While researchers rightly focus on better algorithms, there are a lot more things to be done. In this post I’ll discuss three ways in which front-end development can improve AI technology: read more.

How AI and ML work at Apple?

So Apple moved Siri voice recognition to a neural-net based system for US users on that late July day . Some of the previous techniques remained operational — if you’re keeping score at home, this includes “hidden Markov models” — but now… read more.

UC Berkeley launches Center for Human-Compatible Artificial Intelligence

UC Berkeley artificial intelligence (AI) expert Stuart Russell will lead a new Center for Human-Compatible Artificial Intelligence, launched this week. Read more.

The first autonomous, entirely soft robot

A team of Harvard University researchers with expertise in 3-D printing, mechanical engineering, and microfluidics has demonstrated the first autonomous, untethered, entirely soft robot. Read more.

Come see our previous newsletters

Applied AI Digest is a weekly email curated by Luigi Congedo and the BootstrapLabs team to share the latest insights and innovations happening in the field of Artificial Intelligence. 


Please help us to grow the community by forwarding this email to your friends who are interested in learning more about AI.

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The Autonomous Corporation presented by BootstrapLabs

Thank you to the Autonomous Corporation attendees!

 

We hope that you found the conference informative and enjoyed the networking during the event.

Seeing all of you hanging out until the end of the event made our team proud of their work and strongly encouraged us to keep working hard evangelizing AI around the world.

 

At BootstrapLabs, we believe that innovation and progress will happen at an accelerated pace in all corners of the globe, and that bringing people together around their shared passion for AI will drive positive impact in our world!

 

As many of you have been asking, we would like to officially announce that we have started working on next year’s Applied AI Conference 2017 (Check out the Applied AI Conference 2016 here) and will soon share more information about date, location and speakers line-up.

 

Below you can find some social media posts about the Autonomous Corporation event:

bootstraplabs-the-autonomous-corporation

Announcing The Autonomous Corporation

The Autonomous Corporation

We stand in front of the 4th and largest wave of the industrial revolution, powered by AI and Data. This is the biggest opportunity so far for innovation and entrepreneurship, and every single industry will be disrupted and redefined by companies that are not yet even born.

With the AI market projected to grow over 20 fold in the next 10 years to $3Tn annually, we believe Applied Artificial Intelligence represents one of the major wealth creation opportunities of this century.

Any system that is not learning will soon die, and applying AI to new or existing systems will extend and accelerate societal improvement.

AI-driven systems will soon be able to build better, more efficient products that scale and solve problems in ways that have not been possible before. While everyone is talking about Autonomous Vehicles, we want to talk to you about the Autonomous Corporation, where most actions will be automated, decisions autonomously taken and where outcome will be learned from to continuously improve results. We are moving away from the world of Automated Systems and stepping into a world of Autonomous Systems.

 

The power of AI is about leveraging technology and big data, automating repetitive mechanical tasks, capturing more data from the real world, and ultimately empowering humans with actionable intelligence, rather than replacing them, and finally changing our world for the better!

Join us @ BootstrapLabs HQ for an exciting evening with the leaders of the Autonomous Revolution!

Space is very limited and we expect to reach full capacity quickly.

AGENDA

17:45 – 18:15: Registration
18:20 – 18:25: Welcome message
18:20 – 19:00: “The Autonomous Corporation” Keynote and Fireside Chat

  • Dr. Danny B. Lange, Head of Machine Learning at Uber
  • Ben Levy, Co-Founder at BootstrapLabs

19:00 – 20:00: “Enabling The Autonomous Corporation: AI Founders Insights”

  • Sabrina N. Atienza, Founder at Qurious.io
  • Alex Holub, Co-Founder at Vidora
  • Cathrine Andersen, Co-Founder at Roger.ai

20:00 – 20:30: “Drinks & Networking”


Meet speakers and companies presenting:

 

uber-bootstraplabs

Keynote: Dr. Danny B. Lange, Head of Machine Learning at Uber
Moderator: Ben Levy, Co-Founder, BootstrapLabs

19:00 “Enabling The Autonomous Corporation: AI Founders Insights”

 Autonomous Corporations AI Leaders Insights

Sabrina N. Atienza, Founder at Qurious.io

Alex Holub, Co-Founder at Vidora

Cathrine Andersen, Co-Founder at Roger.ai

See you on November 15th!

BootstrapLabs Autonomous Corporations