BootstrapLabs AAI18 Keynote and Fireside Chat – How AI Shapes the Future of Our Energy System

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The energy systems of the future will be too complex to be managed by people and this is precisely where AI comes in.

In this Keynote and Fireside Chat, Thomas Birr, Stephen Comello, and Nicolai Wadstrom discuss the impact of Artificial Intelligence on energy systems by activating AI and powering the electrical grids of the future, AI will help to make energy safer, more reliable, and customer service oriented.

Speakers:

  • Thomas Birr, SVP Innovation & Business Transformation, innogy and CEO, innogy Innovation Hub
  • Stephen Comello, Director, Sustainable Energy Initiative, Stanford
  • Nicolai Wadstrom, Founder and CEO, BootstrapLabs

During this session, the speakers discussed the future of our energy system, how production and usage will evolve over time, and how we will leverage AI to manage, predict, and optimize energy.

Some of the key takeaways from the session are:

  • The energy systems of the future will be too complex to be managed by people and this is precisely where AI comes in.
  • By leveraging customer habit data with AI and algorithms, the grid will be able to optimize when/where/how to distribute energy.
  • The future of the grid lies in micro dimension, with multiple micro-grids and connected devices that will self-optimize and make economic decisions without human interaction.

About Thomas Birr:
Thomas is the SVP of Innovation & Business Transformation at innogy SE and CEO of the innogy Innovation Hub, a leading European utility whose mission is to create a future beyond the traditional energy business. He leads innogy’s Innovation Hub, which is now building and co-creating new digital and platform-powered business models in partnership with the world’s most promising start-ups. Thomas is a strong believer that AI will change every industry – including Energy.

About Stephen Comello:
Dr. Comello is the director of the Sustainable Energy Initiative at Stanford Graduate School of Business and a founding member of the Bits & Watts Initiative within Stanford’s Precourt Institute for Energy. His work examines the organization of innovation and how technology and policy co-evolve to influence the economic attractiveness of advanced energy solutions.

About Nicolai Wadstrom:
Nicolai is the Founder and CEO of BootstrapLabs, a leading Venture Capital firm based in Silicon Valley and focused on Applied Artificial Intelligence. Throughout his career he has been very focused on product and technology development within Machine Learning, Big Data, Analytics, Internet, Mobile and Software/Cloud sectors. Prior to BootstrapLabs he was a multiple-time startup CEO and CTO. He has raised capital from Angels, Private Equity, Investment Banks and VC’s. Nicolai is a frequent guest speaker, mentor and judge at Universities and Conferences in the US and Europe.

About BootstrapLabs Applied AI Conference: 

The BootstrapLabs Applied AI Conference is a yearly conference organized by BootstrapLabs, a leading Venture Capital firm focused on Applied AI. The annual event brings together over 800 members of the Artificial Intelligence community for a day of incredible speakers and exciting conversations. The community is comprised of founders and executives who are experts in the field of Applied Artificial Intelligence, veteran technologists leading the world’s most innovative organizations, and key partners in the AI ecosystem sharing deep-domain knowledge within specific verticals.

If you would like to attend the BootstrapLabs Applied Artificial Intelligence Conference 2019, tickets are now available!

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BootstrapLabs Presents at US Navy’s HACKtheMACHINE

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Seattle, Washington – September 22, 2018 – Ben Levy, Co-Founder of BootstrapLabs was recently invited to present on the state of Applied Artificial Intelligence at HACKtheMACHINE, which was hosted by the Naval Sea Systems Command.

During his keynote, Ben spoke about the State of AI Technology and Tools, where he highlighted why advances in Applied AI are happening now and the impending impacts, opportunities, and challenges that lie ahead for businesses and technologists.

 

 

Ben also shared insights about current investment trends, data projections, and industry milestones that will help carve a path for those hoping to leverage AI’s transformative power.

Ben Levy, Co-Founder, BootstrapLabs, Artificial Intelligence, U.S Navy, HACKtheMACHINE

The discussion on Applied AI, which was part of the Designers Executive schedule, also included presentations by Mr. Kumar Venkateswar, Product Team Lead at Amazon SageMaker and Mr. Andrew Kim, Public Policy and Government Affairs at Google AI.

HACKtheMACHINE is the US Navy’s premiere digital experience for building a community of practice in maritime security.

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Luigi Congedo, Applied AI, Venture Capital, Italy, San Francisco, Silicon Valley

Forbes 30 Under 30: Luigi Congedo

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Luigi Congedo, BootstrapLabs, Venture Capital, Forbes, 30 under 30We are pleased to announce that Luigi Congedo, Principal at BootstrapLabs, has been included in Forbes 2018 list of 30 Under 30 for his contributions to Technology & Venture Capital. In the past four years at BootstrapLabs, Luigi has connected with thousands of start ups in both Silicon Valley, Italy and the world and has focused his work primarily on investments within the Applied Artificial Intelligence space.

At 29, Luigi has proven to be passionate and driven in a space lead by innovators who are changing the world. Luigi shares, “The last few years have been a wonderful experience for me. I have learned so much in Silicon Valley and hope that my work continues to reflect my commitment to excel here.”

 

 

BootstrapLabs AAI18 Panel – Industrial and Manufacturing AI Applications

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Human assisted AI is changing industrial and manufacturing – what are the applications and use cases we should pay attention to?

In this panel conversation at BootstrapLabs Applied AI Conference, Macario Namie discusses Industry 4.0 with leaders from GE, Kespry, Indus.ai and Foghorn Systems. Discover how AI and human assisted autonomy provide better utility in manufacturing and industrial work flows and why its important.  Learn about new processes in construction, insurance, mining, and off-shore oil drilling that leverage AI and have the potential to lower costs and increase revenue.

Moderator: Macario Namie, Head of IoT Strategy, Cisco

Speakers:

  • Karen Kerr, Executive Managing Director, GE Ventures
  • George Matthew, CEO, Kespry
  • Matt Man, Founder, Indus.ai
  • Ramya Ravichandar, Director Product Management, FogHorn Systems Inc

During this session, the panelists discussed AI in manufacturing and industrial applications, the need to combine domain expertise with algorithms, and getting actionable insights from your data in real time.

Some of the key takeaways from the session are:

  • For AI to deliver value in industrial applications you really need to have domain expertise and understand the particular workflows of the industry you’re serving.
  • Clients in the industrial space aren’t looking to replace the human component, they’re looking for human-assisted solutions that will augment people with AI.
  • You need to demonstrate how technology will translate into ROI. These companies have been burned in the past by following a technology fad, so you need to show how AI can have an operational impact today.

About Macario Namie:
Macario Namie joined Jasper in 2007 and – after Cisco’s acquisition of Jasper in 2016 – now leads IoT strategy efforts, including ecosystem development, for Cisco. Prior to this role, Macario spent 8 years leading marketing for Jasper, responsible for product marketing, corporate marketing, field marketing, and demand generation. Macario brings nearly 20 years in marketing Software-as-a-Service enterprise applications. Prior to Jasper, Macario led Worldwide Product Marketing at WebEx, where he was responsible for solution definition and execution of go-to-market plans for the entire WebEx product portfolio. Macario also held senior roles at ePeople and Lycos and holds a B.A. from the University of California, Berkeley.

About Karen Kerr:
Karen Kerr leads a team focused on making investments and partnerships in the advanced manufacturing ecosystem. Karen comes to GE with two decades of experience in developing technology based businesses and venture investing. Previously she served as Senior Director of New Ventures and Alliances at the University of Southern California (USC) Stevens Center for Innovation. Before joining USC, Karen led business development at Intellectual Ventures, was Managing Director at ARCH Venture Partners, and founded Agile Equities LLC. Karen was named one of LA’s Top Innovators in 2012 by C Suite Quarterly, selected to C200 leading business women in 2004, and selected by Crain’s Chicago Business for its 40 under 40 list of leading business professionals in Chicago. Karen earned a PhD in Physical Chemistry from the University of Chicago and an AB in Chemistry from Bryn Mawr College.

About George Matthew:
George Mathew is the CEO & Chairman of Kespry, the leading aerial intelligence platform
provider. At Kespry, he focuses on leading the company’s mission to transform how people and businesses capture, use and get value from worksite intelligence. Prior to Kespry, George held senior leadership positions at Alteryx, salesforce.com and SAP. He holds a BS in Neurobiology from Cornell University and an MBA from Duke University, where he was a Fuqua Scholar.

About: Matt Man
Matt Man is the founder of indus.ai, a video analytics and big data product for construction sites. In Matt’s previous life he founded a mobile application development firm GreenOwl Mobile which deployed 45+ smart city apps across 5 countries. He is an experienced SaaS founder who understands the enterprise B2B market. He holds a Masters in Engineering from Stanford, and BASc in Engineer Science from the University of Toronto. He started experimenting with AI during his undergraduate years, where he coded his first neural network to translate sign language.

About Ramya Ravichandar
Ramya heads Product Management at FogHorn. She is seasoned leader in emerging markets, with a track record of creating value. She brings a rare combination of technical expertise in real time analytics, machine learning, AI, and valuable experience in Industrial IOT. Ramya has a PhD in Computer Science from Virginia Tech.

About BootstrapLabs Applied AI Conference and Community: 

The BootstrapLabs Applied AI Conference 2018 is a yearly conference organized by BootstrapLabs, a leading Venture Capital firm focused on Applied AI. The annual event brings together over 800 members of the Artificial Intelligence community for a day of incredible speakers and exciting conversations. The community is comprised of founders and executives who are experts in the field of applied artificial intelligence, veteran technologists leading the world’s most innovative organizations and key partners in the AI ecosphere sharing deep-domain knowledge within specific verticals.

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.

BootstrapLabs AAI18 Keynote and Fireside Chat – Autonomous Vehicles for Fleet-Based, On-Demand Mobility

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The goal of autonomous mobility is to impact communities by creating safer and less congested cities but there technological limitations business must overcome before this future becomes reality. Learn how some of the industry’s leading minds prioritize infrastructure, public safety, compute and AI.

At BootstrapLabs Applied Artificial Intelligence 2018 Conference, Evangelos Simoudis, Founder and Managing Director of Synapse Partners, explores the future of mobility with industry leaders John Absmeier, Head of Autonomous Mobility from Samsung and Nadeem Sheikh, VP of Self Driving Programs from Lyft.

Speakers:

  • Evangelos Simoudis, Founder and Managing Director, Synapse Partners
  • John Absmeier, Head of Autonomous Mobility, Samsung
  • Nadeem Sheikh, VP of Self Driving Programs, Lyft

If you want to check out the slides used by the speaker follow this link.

During this session, the speakers discussed the impact of autonomous driving long term, the steps required to make autonomous driving successful and all the challenges we’re still facing to adopt this technology

Some of the key takeaways from the session are:

  • The biggest impact autonomous driving will have long term isn’t in business, but safety.
  • Processes, standards, education and better computation power are all necessary to make autonomous driving a reality.
  • Sensors capabilities with higher resolution and speed of data are some of the challenges we need to address; humans still have a better response time in some autonomous driving scenarios because of this.

About Evangelos Simoudis:
Evangelos is the co-founder and managing director of Synapse Partners, a firm that invests in early-stage companies developing applications that combine AI with Big Data. He is an author, a member of numerous advisory boards, and has more than 20 years experience working in various high-tech industries. Evangelos earned a Ph.D. in computer science from Brandeis University and a B.S. in electrical engineering from Caltech.

About John Absmeier:
John Absmeier is the SVP of the Autonomous/ADAS strategic business unit and VP of Smart Machines for HARMAN and Samsung. Absmeier is a self-proclaimed geek, gearhead and jarhead with 20 years’ experience in the automotive industry. He founded Delphi Labs @ Silicon Valley and led the team to develop Delphi’s autonomous vehicle platform. Absmeier has a BSME from Purdue University, MSME from UC Berkeley, and executive MBAs from UC Berkeley,, University of Michigan, and Thunderbird.

About Nadeem Sheikh:
Nadeem is the VP of Self-Driving Vehicle Programs at Lyft, where he is responsible for Lyft’s roadmap for scaling self-driving technology. Prior to Lyft, Nadeem was part of the executive team at Opower, an energy-focused software company which went public in 2014. Nadeem was a consultant at McKinsey, where he worked in the Automotive sector and helped found the Sustainability Practice. He earned his MBA from UC Berkeley and his BS in Industrial Engineering from the University of Wisconsin-Madison.

About BootstrapLabs Applied AI Conference and Community: 

The BootstrapLabs Applied AI Conference 2018 is a yearly conference organized by BootstrapLabs, a leading Venture Capital firm focused on Applied AI. The annual event brings together over 800 members of the Artificial Intelligence community for a day of incredible speakers and exciting conversations. The community is comprised of founders and executives who are experts in the field of applied artificial intelligence, veteran technologists leading the world’s most innovative organizations and key partners in the AI ecosphere sharing deep-domain knowledge within specific verticals.

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.

BootstrapLabs AAI18 Opening Keynote – Human + Machine: Reimagining Work in the Age of AI

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Paul Daugherty shares his vision of reimagining the Future of Work while on stage at BootstrapLabs Applied AI Conference.

Paul Daugherty is the Chief Technology & Innovation Officer at Accenture and leads the company’s Technology Innovation & Ecosystem group. In addition to overseeing Accenture’s technology strategy, Mr. Daugherty is responsible for driving innovation through R&D activities within Accenture Labs. While he manages Accenture’s alliances, partnerships and senior-level relationships he works to leverage emerging technologies and bring the newest innovation to his clients globally.

Speaker: Paul Daugherty, Chief Technology & Innovation Officer, Accenture

During this session, Paul Daugherty discusses the Future of Work (FofW), AI as the alpha trend in technology, the distribution of labor between humans and machines and how to prepare people and businesses for the impact of artificial intelligence.

Key takeaways from this session are:

  • AI is the Alpha Trend in technology because it fundamentally influences the way other technology trends develop.
  • AI is poised to be the biggest thing that impacts our lifetime.
  • Executives need to fundamentally approach their business differently to gain value from AI; this means creating processes that are dynamic, personalized, flexible and adaptive.
  • The future is will depend on a Human + Machine relationship. Giving people the right machine counterparts for working together to achieve higher levels of intelligence and increased collaborative intelligence.

If you’d like to learn more, please visit Accenture’s Website

About BootstrapLabs Applied AI Conference and Community: 

The BootstrapLabs Applied AI Conference 2018 is a yearly conference organized by BootstrapLabs, a leading Venture Capital firm focused on Applied AI. The annual event brings together over 800 members of the Artificial Intelligence community for a day of incredible speakers and exciting conversations. The community is comprised of founders and executives who are experts in the field of applied artificial intelligence, veteran technologists leading the world’s most innovative organizations and key partners in the AI ecosphere sharing deep-domain knowledge within specific verticals.

BootstrapLabs AAI18 Closing Keynote – Where AI Is Today and Where it’s Going

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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.

Speaker: Richard Socher, Chief Scientist, Salesforce

If you want to check out the slides used by the speaker follow this link.

During this session, Richard Socher discussed the state of AI today across different industries including robotics and healthcare and where he sees the biggest potential for AI in the future.

Some of the key takeaways from the session are:

  • AI is impacting several industries and has provided incredible advancements (radiology, cancer treatment, etc) but there’s limitations. Fully autonomous movement in robotics and self-conscious AI are still far away.
  • In theory, with the right political structure, AI could be used to cover all basic necessities including food, housing and security.
  • It’s important to think about diversity in AI in terms of: the kinds of problems we’re working to solve, the kinds of people working on those, and the data sets the algorithms are trained on.

About Richard Socher:
Richard Socher is Chief Scientist at Salesforce where he leads the company’s AI research efforts. Prior to Salesforce, he was the CEO and founder of MetaMind, an AI startup acquired by Salesforce. Socher has received numerous awards and grants including the Distinguished Application Paper Award at the ICML, the Yahoo! Key Scientific Challenges Award, a Microsoft Research PhD Fellowship, and the GigaOM Structure Award. Socher’s PhD from Stanford on deep learning with Chris Manning and Andrew Ng won the best Stanford CS PhD thesis award.

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

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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

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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!

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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.

Watch Now

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.

Read Now

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

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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

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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!

Learn More

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.

Read Now

Applied AI Digest 117

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Subscribe Now

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.

Learn More

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?

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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

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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.

Learn More

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

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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.