Applied AI Digest

Applied AI Digest 39

 


Applied AI Digest

New Research Center to Explore Ethics of Artificial Intelligence

The ethics center, called the K&L Gates Endowment for Ethics and Computational Technologies, is being established at a time of growing international concern about the impact of A.I. technologies. Read more.

How Artificial Intelligence Will Redefine Management

Many alarms have sounded on the potential for artificial intelligence (AI) technologies to upend the workforce, especially for easy-to-automate jobs. But managers at all levels will have to adapt to the world of smart machines. Read more.

‘STARCRAFT II’ WILL SOON BE USED AS TRAINING GROUNDS FOR ARTIFICIAL INTELLIGENCE

On Friday during the BlizzCon 2016 opening keynote, Blizzard revealed that it teamed up with Google to provide an application programming interface (API) for DeepMind to be used in StarCraft II. Read more.

The New World Of Artificially Intelligent Security

Let’s just say in 2016, when you work with startups; you hear the term AI / Artificial Intelligence thrown around a lot. It’s this season’s hottest buzzword. Got a cool new App? Yes, it’s got AI inside. Read more.

Uber is rolling out a big redesign powered by machine learning

The new Uber app features an interface its 40 million monthly riders worldwide will recognize, at least for the most part. You can request a ride just like always, but the app uses machine learning to better understand your routines. Read more.

How AI (Artificial Intelligence) Creates A Better Customer Service Experience

A year ago I wrote that I had seen the future. I had attended the IBM Insights conference in Las Vegas, an entire conference devoted to the Internet of Things, analytics, cognitive marketing and related topics. Read more.
Applied AI Digest

Applied AI Digest 38


The latest Data, Insights, and Inspiration about Applied AI

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

 

Applied AI Digest

Forrester Predicts Investment In Artificial Intelligence Will Grow 300% in 2017

Insights matter. Businesses that use artificial intelligence (AI), big data and the Internet of Things (IoT) technologies to uncover new business insights “will steal $1.2 trillion per annum from their less informed peers by 2020. Read more.

When Will Robots Take All the Jobs?

There isn’t much evidence from today’s statistics that human workers are on the verge of a historic shift. But just wait until the next recession. Read more.

MIT use state-of-the-art deep learning algorithms to learn how haunted faces, houses, or toxic cities look like. Then, we apply the learnt style to famous landmarks and present you: AI-powered horror all over the world! Read more.

Today`s Artificial Intelligence Does Not Justify Basic Income

Not a day goes by when we do not hear about the threat of AI taking over the jobs of everyone from truck drivers to accountants to radiologists. Read more

3 challenges for artificial intelligence in medicine

Why is the world’s most advanced AI used for cat videos, but not to help us live longer and healthier lives? Read more.

45 Artificial Intelligence Startups Targeting Retail In One Infographic

Investors poured a record high $1.05B into artificial intelligence startups in Q2’16, and AI is already affecting more areas of our lives than many people realize. Even retail and e-commerce companies are increasingly integrating the technology. Read more.

 

 

Applied AI Digest

Applied AI Digest 36

 

 

The latest Data, Insights, and Inspiration about Applied AI

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

Announcing The Autonomous Corporation

Join us for an exciting evening with the leaders of the Autonomous Revolution.

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. Read more.

Speakers lineup:
Danny B. Lange, Head of Machine Learning at Uber
Ben Levy, Co-Founder at BootstrapLabs
Sabrina N. Atienza, Founder at Qurious.io
Alex Holub, Co-Founder at Vidora
Cathrine Andersen, Co-Founder at Roger.ai

The Autonomous Corporation is a can’t miss opportunity for AI leaders and startup entrepreneurs. It will take place on November 15th from 5:45 pm to 8:30 pm in San Francisco.

We extended a limited number of early bird tickets to the Applied AI Digest subscribers.

Applied AI Digest

Barack Obama, neural nets, self-driving cars, and the future of the world

IT’S HARD TO think of a single technology that will shape our world more in the next 50 years than artificial intelligence. Read more.

Google’s ‘DeepMind’ AI platform can now learn without human input

In a significant step forward for artificial intelligence, Alphabet’s hybrid system — called a Differential Neural Computer (DNC) — uses the existing data storage.. read more.

Apple has hired a big brain in AI to make Siri less dumb

Apple has hired a Carnegie Mellon University professor to head up a team working on artificial intelligence as tech giants increasingly place big bets on machine learning as a key part of their future. Read more.

Why artificial intelligence will finally unlock IoT

Connected devices that leverage AI to help with real-time analytics are here today, and widespread adoption is on the rise. Read more.

Artificial intelligence is transforming ERP solutions

Without a doubt, artificial intelligence (AI) will have a profound impact on the footprint of enterprise resource planning (ERP) solutions in the foreseeable future. Read more.

The Administration’s Report on the Future of Artificial Intelligence

Under President Obama’s leadership America continues to be the world’s most innovative country, with the greatest potential to develop the industries of the future and harness science and technology to help address important challenges. Read more.

Applied AI Digest

Applied AI Digest 35

 


The latest Data, Insights, and Inspiration about Applied AI

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

Join Now

Why Cortana’s new boss is obsessed with artificial intelligence

The new Microsoft AI and Research Group will be led by computer vision pioneer and executive vice president Harry Shum, whose 20-year Microsoft career involves leading read more…

Why deep learning is suddenly changing your life

Decades-old discoveries are now electrifying the computing industry and will soon transform corporate America. Read more.

Samsung to Acquire Viv

The deal showcases Samsung’s commitment to virtual personal assistants and is part of the company’s broader vision to deliver an AI-based open ecosystem across all of its devices and services. Read more.

How artificial intelligence is changing online retail forever

Artificial intelligence is all around us, from searching on Google to what news you see on social media to using Siri. Read more.

Elon Musk’s OpenAI is Using Reddit to Teach An Artificial Intelligence How to Speak

NVIDIA has delivered the first DGX-1 supercomputer to OpenAI. The supercomputer has a whopping 170 teraflops of computing power—equivalent to 250 conventional servers. Read more.

MIT Open course on AI

This course introduces students to the basic knowledge representation, problem solving, and learning methods of artificial intelligence. Learn more.

Dear Applied AI Digest readers,

From the end of October we will start featuring some of the most exciting AI products in our newsletter and you will be able to suggest your favorite as well!

This new addition will provide great visibility to the companies behind the products and help the hard working founders in our community!

Don`t hesitate to contact us and share your favorite AI product!

Best regards,
The BootstrapLabs team.

Applied AI Digest

Applied AI Digest 34

 

 



The latest Data, Insights, and Inspiration about Applied AI

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

 

How to Steal an AI

IN THE BURGEONING field of computer science known as machine learning, engineers often refer to the artificial intelligences they create as “black box” systems: read more.

Google is making its assistant ‘conversational’ in two new ways

Today Google is announcing a “Google Assistant” that essentially performs the same tasks as other Google interfaces do, but in a conversational mode. Read more.

Artificial Intelligence: Growth, Opportunities and Threats

We are in the middle of a technological revolution. Artificial intelligence (AI) has the potential to fundamentally transform the world around us… Read more.

Join us at AI World Conference 2016 in San Francisco!

Ben Levy, BootstrapLabs’ Co-Founder will be on stage moderating the “AI: Innovation in the Enterprise” panel with:

  • Bill Loconzolo, Vice President, Data Engineering, Intuit
  • Donald Thompson, Founder, President & Chief Operating Officer, MAANA
  • Jordi Torras Founder & CEO, Inbenta

Learn more at http://aiworldexpo.com/

Microsoft expands AI efforts with creation of new Research Group

The new group will be led by computer vision luminary Harry Shum, a 20-year Microsoft veteran whose career has spanned leadership roles across Microsoft Research and Bing engineering. Read more.

Industry leaders establish partnership on AI best pratices

Amazon, Google, Facebook, IBM, and Microsoft last week announced that they will create a non-profit organization that will work to advance public understanding of AI technologies and formulate best practices on the challenges and opportunities within the field. Read more.

Artificial intelligence: Disruption era begins

Artificial intelligence software solutions will likely be the top disruptor in technology in the next decade, like smartphones and the cloud. Read more.

Applied AI Digest

Applied AI Digest 33

 


The latest Data, Insights, and Inspiration about Applied AI

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

Join Now

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

 

 

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.

 

ben-levy-bootstraplabs-techemergence

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.

applied-ai-digest-review-2016

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.

prediction-artificial-intelligence-2016

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


The latest Data, Insights, and Inspiration about Applied AI

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

 

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.

 

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.