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Announcing the Applied Artificial Intelligence in the New Industrial Revolution

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BootstrapLabs is thrilled to announce the Applied Artificial Intelligence in the New Industrial Revolution.

Event Summary:

  • Date and Time: Thu, April 13, 2017 | 5:45pm to 8:30pm
  • Location: 44 Tehama St
  • Registration at this link.

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.

Manufacturing robots, unmanned vehicles for transportation, warehouses drones as well as space exploration and environmental monitoring empowered by new architectures for distributed computing and intelligent systems are the initial signals of the next generation of industrial systems.

The power of AI will ultimately empower humans to work closely with robots, and bring us to the new age of collaborative systems that can operate side by side with humans.

 

Speakers:

 

Ben Levy, Co-Founder, BootstrapLabs

Joshua Bloom, CTO, Wise.io (Acquired by GE Digital)

George Mathew, CEO and Chairman, Kespry

Ruban Phukan, Co-Founder, Chief Product Officer, DataRPM

Eduardo Torres Jara, Founder, Robot Rebuilt

 

Learn more about the Agenda at this link.

Special Opportunity

Attendees of the Applied Artificial Intelligence in the New Industrial Revolution will receive a special discount for the Applied Artificial Intelligence Conference 2017.

AAI17

Thank You To Our Host and Partner

Galvanize

 

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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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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: