BootstrapLabs AAI18 Panel – Applied AI and Cybersecurity: Making the Enterprise More Secure

Over the next several weeks we’ll be releasing the videos from the sessions from the BootstrapLabs Applied AI Conference 2018. The yearly conference organized by BootstrapLabs, a leading Venture Capital firm focused on Applied AI, that brings together over 800 members of the Artificial Intelligence community for a day of incredible speakers and exciting conversations.

Moderator: Debra J. Farber, Data Privacy & Security Advisor

Speakers:

  • Will Summerlin, Founder, Pinn Technologies
  • Chris Merz, VP Security & Decision Products, Mastercard
  • Sean Kanuck, Director of Cyber, Space and Future Conflict, IISS

During this session, the panelists discussed the future of authentication, leveraging AI to prevent and detect threats and security around databases that collect our information.

Some of the key takeaways from the session are:

  • AI is the only way to figure out and prevent future cyber attacks, it’s impossible for people to process the abundance of data required for the analysis.
  • 81% of data breaches in 2017 were perpetuated due to a stolen password, sensor data and biometric information are the key to authentication in the future.
  • It’s important to invest in management and security for databases, all biometric puzzles turn into cybersecurity issues if the database that gathers the information can be compromised.

About Debra J. Farber:
Debra J. Farber is a data privacy and information security executive and entrepreneur with 14 years of data strategy, operations, public policy, training, product, and compliance experience. Debra served as Sr. Director, Global Public Policy (Security & Privacy) at Visa where she oversaw a portfolio of issues, including: privacy, cybercrime, cybersecurity, product security, risk and more. Debra held privacy and security leadership roles at IBM, American Express, Farber Strategies and more. Debra holds a BA in English from Binghamton University, a JD from Brooklyn Law School and is completing her Executive Certificate of Business Excellence from UC Berkeley.

About Will Summerlin:
Will Summerlin is the Founder and CEO of Pinn, a cybersecurity company using AI to solve the digital identity crisis. He’s also an advisor to Story Ventures.

About Chris Merz:
Dr. Chris Merz is the vice president of Security and Decision Products for the Enterprise Security Solutions product team at Mastercard. He is responsible for decision science and associated data strategies for real-time, transaction-level decision and fraud monitoring solutions. Since joining Mastercard in 2001, Dr. Merz has applied machine learning and data science techniques to applications in cardholder segmentation, loyalty solutions, recommender systems, and fraud detection. He holds a PhD in Information and Computer Science from the University of California – Irvine, and is a recognized researcher in Machine Learning, with over 20 published conference and journal articles. He is also an adjunct professor at the Missouri University of Science and Technology since 2004.

About Sean Kanuck:
Sean serves as Director of the Future Conflict and Cyber Security program at the International Institute for Strategic Studies and Chair of the Research Advisory Group for the Global Commission on the Stability of Cyberspace. He advises governments, corporations, and entrepreneurs on the future of information technology. Sean served as the United States’ first National Intelligence Officer for Cyber Issues from 2011 to 2016. He has a decade of experience working in government including with the CIA’s Information Operations Center, the White House National Security Council, and more. Prior to government, Sean practiced law with Skadden Arps in New York, specializing in mergers and acquisitions, corporate finance, and banking. He holds degrees from Harvard University, the London School of Economics, and the University of Oslo. He also proudly serves as a Trustee of the Center for Excellence in Education in McLean, Virginia.

Applied AI Digest 119


Are you our future Digital Marketer?

BootstrapLabs is looking for a collaborative and detail-oriented digital marketer to work with our core team.

If learning the ins and outs of the Venture Capital industry, meeting incredible founders and leading projects with world-class AI experts sound exciting to you then follow the link and apply now!


AAI18 Keynote and Fireside Chat – Applied AI in Healthcare: Deep Impact

Over the next several weeks we’ll be releasing the videos from the sessions from the BootstrapLabs Applied AI Conference 2018. During this session, the panelists discussed AI in healthcare, the complexity of all stakeholders in the industry, the ROI impact of AI, and the differences between AI in healthcare startups and Big Pharma.


Industrial AI Applications – How Time Series and Sensor Data Improve Processes

Over the past decade, the industrial sector has seen major advancements in automation and robotics applications. Automation in both continuous process and discrete manufacturing, as well as the use of robots for repetitive tasks are both relatively standard in most large manufacturing operations (this is especially true in industries like automotive and electronics). Read more.

Wimbledon 2018: AI uses player emotions to edit highlights

Wimbledon and its digital partner IBM have fine-tuned their artificial intelligence (AI) systems this year to help automatically edit the top action. With an average of three matches per court, per day, video from matches can add up to hundreds of hours of footage. AI-analysis uses crowd noise, player actions and match data to edit video. Read more.

A machine has figured out Rubik’s Cube all by itself

Yet another bastion of human skill and intelligence has fallen to the onslaught of the machines. A new kind of deep-learning machine has taught itself to solve a Rubik’s Cube without any human assistance. The milestone is significant because the new approach tackles an important problem in computer science—how to solve complex problems when help is minimal. Read more.

Insurers turn to artificial intelligence in war on fraud

From bogus claims to shady brokers, insurance fraud costs companies and their customers more than $40 billion a year, the FBI estimates. And that’s excluding medical insurance fraud, which is estimated by industry groups to cost tens of billions more. Read more.

Artificial Intelligence May Make Traffic Congestion a Thing of the Past

If you drive a car, you’ve probably found yourself waiting at a red light while the intersection sits empty. Artificial intelligence could make that—and other frustrating inefficiencies of city traffic—a thing of the past. For a sense of what the technology is capable of, consider that some research suggests artificial intelligence could allow networked autonomous vehicles… Read more.


Job Opportunities:

CargoChief: Full-Stack Engineer

GetAccept: Digital Marketing Manager

Sibly: Head of Engineering

UnitQ: Natural Language Processing and Machine Learning Engineer

UnitQ: Software Engineer Back End Developer

Aeye: Sr. Electrical Engineer

Vidora: Senior Software Engineer – Applications

Smart Ear: Lead Engineer

Trusted Insight: Django/Python Full Stack Engineer

indus.ai: Product Marketing Director

dataalab: Senior Data Scientist

See more job opportunities.


2017 AI Digest Review

Every week the BootstrapLab’s team curates the most interesting and current articles on Artificial Intelligence. To inspire you in 2018, we wanted to share our 2nd Annual Applied AI Digest Review – a recap of all the major AI news and trends of 2017.


BootstrapLabs AAI18 Keynote and Fireside Chat – Applied AI in Healthcare: Deep Impact

Over the next several weeks we’ll be releasing the videos from the sessions from the BootstrapLabs Applied AI Conference 2018. The yearly conference organized by BootstrapLabs, a leading Venture Capital firm focused on Applied AI, that brings together over 800 members of the Artificial Intelligence community for a day of incredible speakers and exciting conversations.

Speakers:

  • Dan Faggella, CEO, TechEmergence
  • Kevin Hua, Sr. Manager A.I./Machine Learning, Bayer
  • Carolina Garcia Rizo, Chief Business Officer, Just Biotherapeutics

During this session, the panelists discussed AI in healthcare, the complexity of all stakeholders in the industry, the ROI impact of AI, and the differences between AI in healthcare startups and Big Pharma.

Some of the key takeaways from the session are:

  • AI can be applied to many parts of the healthcare process from drug discovery to design, manufacturing and clinical trials, but the key is to find places where you have good quality, clean data.
  • Only one in ten companies leveraging AI in Healthcare meet the requirements to have meaningful impact in the space.
  • To convince executives to pull the trigger on these technologies, you need to demonstrate how AI will bring value to different complex stakeholders: hospital management, doctors and nurses, pharmaceutical companies and patients.

About Dan Faggella:
Daniel Faggella is the Founder and CEO at TechEmergence, the only market research and company discovery platform focused exclusively on artificial intelligence and machine learning. Daniel is a serial entrepreneur and has grown and sold two previous companies. He is a graduate of University of Pennsylvania with a masters degree in cognitive science.

About Kevin Hua:
Dr. Kefeng (Kevin) Hua has 20 years of experience working in design and development of AI/Machine Learning applications in healthcare, insurance, banking, retails and manufacturing industries. He is currently a senior manager with the Digital Health Intelligence Group of Bayer, responsible for developing AI/ML applications. Prior to Bayer, he was a machine learning specialist at Deloitte Consulting and a research manager of AI at Center for Advanced Research of PwC. His work in analytics has won the Analytics Leadership Award from IU Kelley School of Business in 2014 and INFORMS Data Mining contest in 2008.

About Carolina Garcia Rizo:
Dr. Garcia-Rizo is the Chief Business Officer of Just Biotherapeutics, an AI-driven platform that brings Antibody-based molecules faster. Carolina has more than 15 years experience in the biopharma and diagnostics industry and worked at Thermo Fisher Scientific, Roche Molecular, Cepheid, MIT, and Max Planck Institute. Carolina has an MBA from MIT and a Ph.D. in Atomic and Molecular Physics at C.S.I.C., C.N.R.S. and UC Berkeley, where she was Fulbright Scholar.

Applied AI Digest 118


Work with Us!

BootstrapLabs is looking for a collaborative and detail-oriented digital marketer to work with our core team.

If learning the ins and outs of the Venture Capital industry, meeting incredible founders and leading projects with world-class AI experts sound exciting to you then follow the link and apply now!


AAI18 Panel – Applied AI in FinTech: Faster, Cheaper, Better?

Over the next several weeks we’ll be releasing the videos from the sessions from the BootstrapLabs Applied AI Conference 2018. During this session, the panelists discussed AI in finance technology, data privacy and security, interpretability of algorithms and the need for a strong relationship with regulators.


Researchers developed an AI to detect DeepFakes

A team of researchers from the State University of New York (SUNY) recently developed a method for detecting whether the people in a video are AI-generated. It looks like DeepFakes could meet its match. Read more.

AI and the Economy

We review the evidence that artificial intelligence (AI) is having a large effect on the economy. Across a variety of statistics—including robotics shipments, AI startups, and patent counts—there is evidence of a large increase in AI-related activity. We also review recent research in this area which suggests that AI and robotics have the potential to increase productivity growth… Read more.

High-Level Group on Artificial Intelligence

Following an open selection process, the Commission has appointed 52 experts to a new High-Level Expert Group on Artificial Intelligence, comprising representatives from academia, civil society, as well as industry. The AI HLG will have as a general objective to support the implementation of the European strategy on AI. This will include the elaboration of recommendations on future AI-related policy development and on ethical, legal and societal issues related to AI, including socio-economic challenges. Read more.

This company tames killer robots

A seven-foot-tall robot arm moves in a blur, carrying a piece of metal about the size of a bowling ball from one workbench to another at superhuman speed. But when a human worker reaches for the piece, the robot goes into slow motion and then eventually stops. As soon as the person steps away, the robot speeds up again. Read more.

Could Artificial Intelligence Take the Art out of Medicine?

As health care becomes more complex, technological and data-driven, there’s a risk physicians will lose some of their autonomy. It has been said that the practice of medicine is both an art and a science. For example, different patients react differently to the same medication for the treatment of anxiety, and what works for one patient will not work for another. Read more.

China’s Eating Up US Drone Market; U.S. Troops At Risk

While Washington struggles to update its arms export policies, China is spreading its influence, one drone sale at a time. U.S. forces are at increasing risk as China and other nations sell more armed drones to anyone with the money to pay for them, and restrictive U.S. export policies may be making the situation worse, says a new report delivered to the Chairman of the Joint Chiefs. Read more.


Job Opportunities:

CargoChief: Full-Stack Engineer

GetAccept: Digital Marketing Manager

Sibly: Head of Engineering

UnitQ: Natural Language Processing and Machine Learning Engineer

UnitQ: Software Engineer Back End Developer

Aeye: Sr. Electrical Engineer

Vidora: Senior Software Engineer – Applications

Smart Ear: Lead Engineer

Trusted Insight: Django/Python Full Stack Engineer

indus.ai: Product Marketing Director

dataalab: Senior Data Scientist

See more job opportunities.


2017 AI Digest Review

Every week the BootstrapLab’s team curates the most interesting and current articles on Artificial Intelligence. To inspire you in 2018, we wanted to share our 2nd Annual Applied AI Digest Review – a recap of all the major AI news and trends of 2017.


Applied AI Digest 117


2017 AI Digest Review

Every week the BootstrapLab’s team curates the most interesting and current articles on Artificial Intelligence. To inspire you in 2018, we wanted to share our 2nd Annual Applied AI Digest Review – a recap of all the major AI news and trends of 2017.


Machine Learning (Theory)

We are clearly not in a steady-state situation. Is this a bubble or a revolution? The answer surely includes a bit of revolution—the fields of vision and speech recognition have been turned over by great empirical successes created by deep neural architectures and more generally machine learning has found plentiful real-world uses. Read more.

Why Diversity in the Artificial Intelligence Sector Is Critical

Artificial intelligence offers limitless potential for the financial industry, but at Fortune‘s MPW International Summit on Tuesday Mastercard vice chairman Ann Cairns also called attention to some of its existential risks. Cairns had recently been in China, where she said it was clear to her that AI was taking off there in a big way—just as it has in Silicon Valley. Read more.

AI at Google: our principles

Machine learning is increasingly moving from hand-designed models to automatically optimized pipelines using tools such as H20, TPOT, and auto-sklearn. These libraries, along with methods such as random search, aim to simplify the model selection and tuning parts of machine learning by finding the best model for a dataset with little to no manual intervention. Read more.

Chatbots Were the Next Big Thing: What Happened?

Chatbots were The Next Big Thing. Our hopes were sky high. Bright-eyed and bushy-tailed, the industry was ripe for a new era of innovation: it was time to start socializing with machines. And why wouldn’t they be? All the road signs pointed towards insane success… Read more.

Real-world AI

Unsure where or how AI applies to your company? The McKinsey Global Institute found more than 400 real-life examples where AI can improve longstanding business challenges. Read more.

Why the Future of Machine Learning is Tiny

When Azeem asked me to give a talk at CogX, he asked me to focus on just a single point that I wanted the audience to take away. A few years ago my priority would have been convincing people that deep learning was a real revolution, not a fad, but there have been enough examples of shipping products that that question seems answered. Read more.


Job Opportunities:

CargoChief: Full-Stack Engineer

GetAccept: Digital Marketing Manager

Sibly: Head of Engineering

UnitQ: Natural Language Processing and Machine Learning Engineer

UnitQ: Software Engineer Back End Developer

Aeye: Sr. Electrical Engineer

Vidora: Senior Software Engineer – Applications

Smart Ear: Lead Engineer

Trusted Insight: Django/Python Full Stack Engineer

indus.ai: Product Marketing Director

dataalab: Senior Data Scientist

See more job opportunities.


AAI18 Panel – Applied AI in FinTech: Faster, Cheaper, Better?

Over the next several weeks we’ll be releasing the videos from the sessions from the BootstrapLabs Applied AI Conference 2018. During this session, the panelists discussed AI in finance technology, data privacy and security, interpretability of algorithms and the need for a strong relationship with regulators.


BootstrapLabs AAI18 Panel – Applied AI in FinTech: Faster, Cheaper, Better?

Over the next several weeks we’ll be releasing the videos from the sessions from the BootstrapLabs Applied AI Conference 2018. The yearly conference organized by BootstrapLabs, a leading Venture Capital firm focused on Applied AI, that brings together over 800 members of the Artificial Intelligence community for a day of incredible speakers and exciting conversations.

Moderator: Ash Fontana, Managing Director, Zetta Venture Partners

Speakers:

  • Sangeeta Chakraborty, Chief Customer Officer, Ayasdi
  • Shaunak Khire, Co-Founder and CEO, EmmaAI
  • Ashish Bansal, Sr. Director – Data Science, Capital One
  • Xavier Legros, VP – Product Development & Science , Trusted Insight

During this session, the panelists discussed AI in finance technology, data privacy and security, interpretability of algorithms and the need for a strong relationship with regulators.

Some of the key takeaways from the session are:

  • For AI to deliver value in FinTech, interpretability and explainability are important, you need to be able to prove where your model comes from and have strong documentation.
  • You need to make sure the right controls and processes are in place to ensure data privacy and security.
  • Developing a strong relationship with regulatory agencies is key to make sure your model is unbiased and explainable and be able to influence regulators into adopting better, more complicated models.

About Ash Fontana:
Ash joined Zetta Venture Partners – the first venture capital fund focused on intelligent systems – with Mark Gorenberg at the time it launched. Ash is a board member of and lead investor in companies such as Kaggle, Invenia, Clearbit, Tractable and Focal Systems. Before Zetta, Ash started the money side of AngelList, launching online investing, managing $130M over more than 250 funds, creating the first startup ‘index fund’ and more. Ash previously co-founded Topguest, a Founders Fund-backed company that built customer analytics technology.

About Sangeeta Chakraborty:
Sangeeta is the Chief Customer Officer at Ayasdi. Prior to Ayasdi, Sangeeta built multiple professional services practices across a number of successful startups including Digital Fuel (acquired by VMWare), Inquira (acquired by Oracle) and Interwoven. Sangeeta began her career in consulting with Tata, Fujitsu and Vitria.

About Shaunak Khire:
Shaunak Khire, is the co­founder & CEO of Emma/MANSI, an explainable AI for the financial markets. Shaunak started out as a mobile security consultant at British Telecom focusing on vulnerabilities in bluetooth standards. Previously Shaunak was a Board Member of a private equity backed DMP (data management platform), he has also served on the global board of the Mobile Marketing Association. Shaunak was a part of the Clinton Global Initiative tech & poverty alleviation groups and built the MaghaCGI30 Index a social impact index that weighs constituents based on CSR metrics. He is a contributor for TechCrunch and has been on MIT Technology Review’s 35 under 35 list in 2012.

About Ashish Bansal:
Ashish is a Senior Director of Data Science at Capital One. He uses AI/ML to generate insights from vast amounts of data and build interesting B2B, B2C and Enterprise products. He manages a product portfolio of 5+ products. Prior to Capital One, he co-founded GALE Partners and headed the Machine Learning group, building AI/ML based marketing automation products. He helped the company grow from 9 to 120 and setup the India office. Overall, he has over 18 years of experience in the technology industry, along with an MBA from Kellogg School of Management and B Tech from IIT BHU.

About Xavier Legros:
Xavier is the VP of Product and Science at Trusted Insight. He’s responsible for bringing machine learning to the world of alternative asset management – Currently focusing on VC and Credit Markets. He is continuously improving the #1 social network for CIOs and alternative assets managers through Trusted Insight platform website and mobile experiences.

Applied AI Digest 116


2017 AI Digest Review

Every week the BootstrapLab’s team curates the most interesting and current articles on Artificial Intelligence. To inspire you in 2018, we wanted to share our 2nd Annual Applied AI Digest Review – a recap of all the major AI news and trends of 2017.


AI researchers are halting work on human-like machines

Artificial intelligence researchers, who have seen little recent progress toward the creation of a machine that thinks like a human, have largely halted such work in favor of applying what’s been discovered so far, says a leading AI expert. Read more.

Why thousands of AI researchers are boycotting the new Nature journal

Budding authors face a minefield when it comes to publishing their work. For a large fee, as much as $3,000, they can make their work available to anyone who wants to read it. Or they can avoid the fee and have readers pay the publisher instead. Often it is libraries that foot this bill through expensive annual subscriptions. This is not the lot of wannabe fiction writers, it’s the business of academic publishing. Read more.

Automated Feature Engineering in Python

Machine learning is increasingly moving from hand-designed models to automatically optimized pipelines using tools such as H20, TPOT, and auto-sklearn. These libraries, along with methods such as random search, aim to simplify the model selection and tuning parts of machine learning by finding the best model for a dataset with little to no manual intervention. Read more.

The (holy) ghost in the machine: Catholic thinkers tackle the ethics of artificial intelligence

At first glance, Pope Francis’s January message to a cadre of business and political leaders gathered at this year’s World Economic Forum in Davos, Switzerland, appeared largely focused on the plight of the poor – a hallmark of his papacy. But it also contained a reference to an unusual topic for a pontiff: artificial intelligence… Read more.

For all the hype, AI still hasn’t impacted the US economy

There’s a suspicious absence of what many economists have expected from the AI boom happening in the US: a lift in productivity, and maybe a catastrophic loss of jobs. Despite all the hype about AI redefining businesses and industries, a new report analyzing AI’s impact on the US economy, published May 29, says it’s still too early to tell what kind of impact the technology might have. Read more.

Bridges and LIDAR

In 1999, when WAP was the future of mobile, the industry group behind SIM cards worked out a way to use the programmable space on a SIM to build a complete WAP browser. This meant that instead of having to wait for consumers to buy new phones with WAP built-in, mobile operators could push a WAP browser onto every phone already in use over the air and get people to start using these services straight away. Read more.


Job Opportunities:

CargoChief: Full-Stack Engineer

GetAccept: Digital Marketing Manager

Sibly: Head of Engineering

Aeye: Sr. Electrical Engineer

Vidora: Senior Software Engineer – Applications

Smart Ear: Lead Engineer

Trusted Insight: Django/Python Full Stack Engineer

indus.ai: Product Marketing Director

dataalab: Senior Data Scientist

See more job opportunities.


AAI18 Keynote & Fireside Chat – How AI Is Transforming the Media

Over the next several weeks we’ll be releasing the videos from the sessions from the BootstrapLabs Applied AI Conference 2018. During this session, the panelists discussed the future of AI and the media, how it’ll empower journalists and generate new revenue streams for localized reporting.


BootstrapLabs AAI18 Keynote and Panel – Savior or Destroyer? How AI is transforming the Media

Over the next several weeks we’ll be releasing the videos from the sessions from the BootstrapLabs Applied AI Conference 2018. The yearly conference organized by BootstrapLabs, a leading Venture Capital firm focused on Applied AI, that brings together over 800 members of the Artificial Intelligence community for a day of incredible speakers and exciting conversations.

Moderator & Keynote Speaker: Alex Salkever, Author, “Driver in the Driverless Car: How Our Technology Choices Can Change The Future”

Speakers:

  • Robbie Allen, CEO, Infinia ML / Executive Chairman, Automated Insights
  • Gilad Lotan, VP – Head of Data Science, BuzzFeed

During this session, the panelists discussed the future of AI and the media, how it’ll empower journalists and generate new revenue streams for localized reporting.

Some of the key takeaways from the session are:

  • We’re already consuming content that’s generated with Artificial Intelligence like sports and election results. But AI is still limited in terms of content creation, it’ll take another 10 years for AI to write a high school essay.
  • We need to keep our priorities straight and optimize for the right metrics, optimizing for something like CTR can lead to polarization.
  • AI will give reporters superpowers, they’ll be able to write stories and leverage data in ways that was impossible without technical skills.

About Alex Salkever:
Alex Salkever is a writer, futurist and technology leader. He is the co-author with Vivek Wadhwa of “The Driver in the Driverless Car: How Our Technology Choices Can Change the Future”. The book was named as a Finalist in the 2017 McKinsey / Financial Times Book of the Year Competition. He previously served as the Technology Editor at BusinessWeek.com and as a Guest Researcher at the Duke University Pratt School of Engineering. His first book, “The Immigrant Exodus: Why America Is Losing the Global Race to Capture Entrepreneurial Talent” was named a Book of the Year by The Economist in 2012. Alex has served as a senior executive at a host of Silicon Valley startups in green technology, data science, open government, and cloud computing. He speaks regularly at industry conferences, universities and schools and to corporations and Boards of Directors.

About Robbie Allen:
Robbie Allen is the CEO of Infinia ML, which helps enterprise organizations implement ML solutions. Previously, he founded and led Automated Insights, whose natural language generation software helped automate content production for The Associated Press, Yahoo!, and others. Robbie has authored or coauthored 10 books and has spoken at multiple conferences including: O’Reilly AI Conference, Strata, SXSW, and the MIT Sloan CIO Symposium. He holds two Master’s degrees from MIT and is completing his Ph.D. in CS at UNC-Chapel Hill.

About Gilad Lotan:
Gilad is the Head of Data Science at BuzzFeed where he leads a team that’s tasked with building state of the art analytics and data products to support entertainment, news, business and tech. Previously Gilad led Data Science at beta works, and built data products and Microsoft. Gilad’s work has been covered across a wide range of academic journals and publications, most recently focused on propaganda and bias within algorithmic ranking systems.

Applied AI Digest 115


Sold Out – BootstrapLabs Applied AI Insiders Series

We’ve officially sold out for the BootstrapLabs Applied AI Insiders Series. We’re excited to hear our extraordinary panel to take you through the current state of AI and Human/Computer Interaction:

Ben Levy, Co-Founder, BootstrapLabs
Igor Jablokov, Founder, Pryon
Mark J. Nitzberg, Executive Director, Center for Human Compatible AI – UC Berkeley
Omar Abdelwahed, Head of Studio, SoftBank Robotics America

This is an INVITATION ONLY</strong event, you can request an invite for our future events below.


Study: Early AI adopters may gain “insurmountable advantage”

A pecking order is evolving in the newest stage of the digital era: aggressive early adopters of artificial intelligence are reporting elevated earnings and may be forming “an insurmountable advantage” over rivals, according to the McKinsey Global Institute. Read more.

Navigating the risks of artificial intelligence and machine learning in low-income countries

On a recent work trip, I found myself in a swanky-but-still-hip office of a private tech firm. I was drinking a freshly frothed cappuccino, eyeing a mini-fridge stocked with local beer and standing amidst a group of hoodie-clad software developers typing away diligently at their laptops against a backdrop of Star Wars and xkcd comic wallpaper. I wasn’t in Silicon Valley: I was in Johannesburg… Read more.

Apple, Spurned by Others, Signs Deal With Volkswagen for Driverless Cars

SAN FRANCISCO — Apple once had grand aspirations to build its own electric self-driving car and lead the next generation of transportation. Over time, the tech giant’s ambitions ran into reality. So Apple curtailed its original vision, first by focusing on software for self-driving cars and then by working solely on an autonomous shuttle for its own use with employees. Read more.

Automation Will Make Lifelong Learning a Necessary Part of Work

President Emmanuel Macron together with many Silicon Valley CEOs will kick off the VivaTech conference in Paris this week with the aim of showcasing the “good” side of technology. Our research highlights some of those benefits, especially the productivity growth and performance gains that automation and artificial intelligence can bring to the economy — and to society more broadly… Read more.

Tech’s Next Big Wave: Big Data Meets Biology

It Began in December, with CVS’s proposed $69 billion buyout of insurer Aetna. In January, three more corporate behemoths—Amazon, JPMorgan Chase, and Berkshire Hathaway — said they were forming a joint venture aimed at reducing health care costs and improving outcomes for their combined 1 million or so employees. Then, in March, Cigna said it would buy pharmacy benefits manager Express Scripts for more than $50 billion. Read more.


Job Opportunities:

CargoChief: Full-Stack Engineer

GetAccept: Digital Marketing Manager

Sibly: Head of Engineering

Aeye: Sr. Electrical Engineer

Vidora: Senior Software Engineer – Applications

Smart Ear: Lead Engineer

Trusted Insight: Django/Python Full Stack Engineer

indus.ai: Product Marketing Director

dataalab: Senior Data Scientist

dataalab: Frontend Software Engineer

See more job opportunities.


2017 AI Digest Review

Every week the BootstrapLab’s team curates the most interesting and current articles on Artificial Intelligence. To inspire you in 2018, we wanted to share our 2nd Annual Applied AI Digest Review – a recap of all the major AI news and trends of 2017.


AAI18 Panel – Enterprise AI Applications and the Future of Work

Over the next several weeks we’ll be releasing the videos from the sessions from the BootstrapLabs Applied AI Conference 2018. During this session, the panelists discussed the future of work and how Artificial Intelligence will change workflows, job functions and even our priorities at work.


Applied AI Digest 114


Last Chance to Register for the BootstrapLabs Applied AI Insiders Series

Less than 10 tickets left for our Applied AI Insiders Series event! We will explore the benefits of interfaces using speech, gestures and even body language, but also share thoughts on some of the biggest challenges facing broader adoption of this technology.

To get us to the next phase in human-computer collaboration, these systems must gather and analyze countless information on users, but how do we ensure privacy and secure that sensitive data?

This event is INVITE ONLY. If you did not receive an invitation you can request one below.


San Francisco Wants to Use Algorithms to Clear Thousands of Marijuana Convictions From the Record

The San Francisco District Attorney’s office is partnering with Code for America to trial a new algorithm to hasten clearing marijuana convictions. California’s landmark Proposition 64 opened the door for people with old marijuana convictions to petition to have the charges removed from their record. The algorithm would automatically review the petitions and associated criminal record. Read more.

Carnegie Mellon Launches Undergraduate Degree in Artificial Intelligence

Carnegie Mellon University’s School of Computer Science will offer a new undergraduate degree in artificial intelligence beginning this fall, providing students with in-depth knowledge of how to transform large amounts of data into actionable decisions. SCS has created the new AI degree, the first offered by a U.S. university, in response to extraordinary technical breakthroughs in AI… Read more.

This Man Is the Godfather the AI Community Wants to Forget

Many of the biggest names in the technology industry are consumed with developing an artificial general intelligence, or AGI. Unlike today’s leading artificial intelligence software, an AGI wouldn’t need flesh-and-blood trainers to figure out how to translate English to Mandarin or spot tumors in an X-ray. Read more.

AI and Compute

We’re releasing an analysis showing that since 2012, the amount of compute used in the largest AI training runs has been increasing exponentially with a 3.5 month-doubling time (by comparison, Moore’s Law had an 18-month doubling period). Since 2012, this metric has grown by more than 300,000x (an 18-month doubling period would yield only a 12x increase). Read more.

AI in the Accounting Big Four – Comparing Deloitte, PwC, KPMG, and EY

Deloitte, EY, PwC and KPMG are among the largest service providers in the accounting industry— collectively referred to as the Big Four. Many of the financial and consulting services offered by these firms – such as advising on investment decisions – involve finding patterns in very large sets of data. This data is often beyond the understanding of a single person… Read more.

Essential Cheat Sheets for Machine Learning and Deep Learning Engineers

Learning machine learning and deep learning is difficult for newbies. As well as deep learning libraries are difficult to understand. I am creating a repository on Github (cheatsheets-ai) with cheat sheets which I collected from different sources. Do visit it and contribute cheat sheets if you have any. Read more.


Job Opportunities:

CargoChief: Full-Stack Engineer

GetAccept: Digital Marketing Manager

Sibly: Head of Engineering

Aeye: Sr. Electrical Engineer

Vidora: Senior Software Engineer – Applications

Smart Ear: Lead Engineer

Trusted Insight: Django/Python Full Stack Engineer

indus.ai: Product Marketing Director

dataalab: Senior Data Scientist

dataalab: Frontend Software Engineer

See more job opportunities.


AAI18 Panel – Enterprise AI Applications and the Future of Work

Over the next several weeks we’ll be releasing the videos from the sessions from the BootstrapLabs Applied AI Conference 2018. During this session, the panelists discussed the future of work and how Artificial Intelligence will change workflows, job functions and even our priorities at work.