AI Vision

March 8, San Francisco

AI Vision is a one-day conference about the nature and future of AI by those who build it and oversee its ramp-up in the key companies and universities, forming the ways we use technology.

Speakers

We are adding new, world-class, invited speakers weekly to fully build the schedule by 1/31.

Peter Norvig
Peter Norvig
Director of Research at Google

Previously Peter was head of Google's core search algorithms group, and of NASA Ames's Computational Sciences Division, making him NASA's senior computer scientist. He received the NASA Exceptional Achievement Award in 2001. He has taught at the University of Southern California and the University of California at Berkeley, from which he received a Ph.D. in 1986 and the distinguished alumni award in 2006. He was co-teacher of an Artifical Intelligence class that signed up 160,000 students, helping to kick off the current round of massive open online classes.

Shubha Nabar
Shubha Nabar
Director, Data Science at Salesforce

Shubha Nabar is a Director of Data Science at SalesforceIQ, where her team is creating intelligent tools for Salesforce’s Customer Success platform. Previously, Shubha obtained a PhD in Computer Science from Stanford University and worked as a Senior Data Scientist at Linkedin.

Jean Xin
Jean Xin
VC at Data Collective

At Data Collective, Jean focuses on applying artificial intelligence to novel and high-impact problems in the real world, as well as improving the workplace through better enterprise technology. Prior to joining DCVC, she worked at McKinsey & Company, where she advised executive teams on company-defining decisions, including data and technology strategy and M&A. Her favorite project gave her the opportunity to define McKinsey’s perspective on automation, the future of work, and machine learning.
Jean holds an S.B. from MIT in Brain and Cognitive Sciences and Management Science, where she focused on computational cognitive science and finance, respectively.

Stuart Russell
Stuart Russell
Professor, UC Berkeley

Professor of Computer Science and Smith-Zadeh Professor in Engineering, University of California, Berkeley.

Jeremy Howard
Jeremy Howard
fast.ai

A startup Jeremy founded to use recent advances in machine learning to transform the practice of medicine, and bring modern medical diagnostics to billions of people in the developing world for the first time.

Peter Skomoroch
Peter Skomoroch
SkipFlag Cofounder & CEO

Peter Skomoroch is cofounder and CEO of Skipflag. SkipFlag is using machine intelligence to build the workplace knowledge graph. Their product turns conversations into knowledge to proactively keep you up to date at work. Previously, he was Principal Data Scientist at LinkedIn where he led teams focused Reputation, Inferred Identity and Data Products like LinkedIn Skills and LinkedIn Endorsements.

David Hall
David Hall
Senior Research Scientist

Senior Research Scientist at Semantic Machines, working to build dialogue systems that you can actually have a conversation with.

Lyle Ungar
Lyle Ungar
Professor, University of Pennsylvania

Dr. Ungar has published over 200 articles and holds eleven patents. His current research focuses on statistical natural language processing, spectral methods, and the use of social media to understand the psychology of individuals and communities.

David Beyer
David Beyer
Investor, Amplify Partners

David is an investor with Amplify Partners, an early-stage VC focused on the next generation of infrastructure IT, data and information security companies. He began his career in technology as the co-founder and CEO of Chartio.com, a pioneering provider of cloud-based data visualization and analytics. He was subsequently part of the founding team at Patients Know Best, one of the world's leading cloud-based Personal Health Record (PHR) companies.

Richard Socher
Richard Socher
Chief Scientist, Salesforce

Prior he was the CEO and founder of MetaMind, a startup which was recently acquired by Salesforce. MetaMind seeks to improve artificial intelligence and make it widely accessible. He obtained his PhD from Stanford working on deep learning with Chris Manning and Andrew Ng and won the best Stanford CS PhD thesis award. He is interested in developing new AI models that perform well across multiple different tasks in natural language processing and computer vision. He was awarded the Distinguished Application Paper Award at the International Conference on Machine Learning 2011, the 2011 Yahoo! Key Scientific Challenges Award, a Microsoft Research PhD Fellowship in 2012 and a 2013 "Magic Grant" from the Brown Institute for Media Innovation and the 2014 GigaOM Structure Award.

Andrew Burgert
Andrew Burgert
CEO of Azumo

Andrew Burgert is CEO of Azumo, a San Francisco-based data and AI development firm helping companies build intelligent applications by focusing on natural language and conversational interfaces. Andrew has more than 20 years of experience in technology, private and public investing, investment banking, consulting and management roles at operating companies. Andrew holds an MBA and M.S. in Information Systems from Boston University and a B.S. in Business Administration and B.S. in Information Systems from Universidad de Buenos Aires. Andrew also serves as an Advisory Council member at IBM’s Spark Technology Center.

Jake Flomenberg
Jake Flomenberg
Accel

Jake Flomenberg joined Accel in 2012 and focuses on next-generation infrastructure, enterprise software, and security investments. Jake is part of the team responsible for Accel's Big Data Fund and led investments in Demisto, Origami Logic, Sumo Logic, Trifacta and Zoomdata. Prior to Accel, Jake was director of product management at Splunk, where he was responsible for the product’s user interface and big data strategy.

Tom Brown
Tom Brown
OpenAI

Tom Brown is a member of the technical staff at OpenAI, where he heads the Gym and Universe projects. Before OpenAI, Tom founded YC-backed Grouper Social Club, and studied computational cognitive science at MIT.

Benjamin Levy
Benjamin Levy
Co­Founder of BootstrapLabs

Ben is the Co­Founder of BootstrapLabs, a leading venture capital firm, based in Silicon Valley and focused on Applied Artificial Intelligence. Some of BootstrapLabs’ portfolio companies include Prezi, AngelList, Zerply, Trusted Insight, AEye, Qurious.io, Roger.ai, Vidora, and Sibly. 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.

SriSatish Ambati
SriSatish Ambati
CEO and co-founder H2O.ai

H2O democratizes bigdata science and makes hadoop do math for better predictions. Before H2O, Sri spent time scaling R over bigdata with researchers at Purdue and Stanford. Prior to that Sri co-founded Platfora and was the Director of Engineering at DataStax. Before that Sri was Partner & Performance engineer at java multi-core startup, Azul Systems, tinkering with the entire ecosystem of enterprise apps at scale.

Francois Chollet
Francois Chollet
Google, deep learning research

Francois is the author of Keras, one of the most widely used libraries for deep learning in Python. He has been working with deep neural networks since 2012. Francois is currently doing deep learning research at Google. He blogs about deep learning at blog.keras.io.

Adam Kell
Adam Kell
Comet Labs, Partner

Adam is a product guy. He is an investment partner at Comet Labs, a cross between a venture fund and experimental research lab that focuses on AI and robotics. Adam previously co-founded a consumer electronics company, which designs, manufactures, and sells mobile phone accessories. He has spent time living in China and working in a production environment.

Yishay Carmiel
Yishay Carmiel
Head of Spoken Labs

Yishay Carmiel is the head of Spoken Labs, a big data analytics unit that implements bleeding-edge deep learning and machine-learning technologies for speech recognition, computer vision, NLP, and data analysis. Yishay and his team are working on state-of-the-art technologies in artificial intelligence, deep learning, and large-scale data analysis. He has 15 years’ experience as an algorithm scientist and technology leader working on building large-scale machine-learning algorithms and serving as a deep learning expert.

Sonal Gupta
Sonal Gupta
Viv Labs, Researcher

Sonal Gupta is a natural language researcher at Viv Labs working on improving language understanding by virtual assistants. She has a PhD from Stanford where she worked on information extraction using weakly supervised learning techniques.

Bradford Cross
Bradford Cross
DCVC, Founding Partner

Bradford has over 15 years of experience in building statistical trading strategies, and the better part of a decade in machine learning and large-scale systems engineering, including 2 years working on distributed systems at Google. He studied Computer Engineering and Finance at Virginia Tech, and Mathematics at Berkeley.

Dennis Yang
Dennis Yang
Dashbot, Co-founder & CPO

Dennis Yang is co-founder and CPO of Dashbot, an analytics platform for bots. Prior to Dashbot, he co-founded Bureau of Trade, a vintage marketplace (acquired by eBay), co-founded Techdirt, the popular technology blog, and was the ninth employee of both Infochimps (acquired by CSC) and mySimon (acquired by CNET). He earned his engineering degree from Cornell University and lives in San Francisco with his wife Tricia and dog Bear, who introduced them. You can follow him on Twitter at @sinned.

About

AI Vision will go far beyond “AI is great/it will replace you” kind of hype we suddenly see everywhere. Here’s the kinds of questions we’d like to discuss:

  • How can we measure and certify AI in human jobs? The Tesla crash points to the inevitability of government intervention. Can we use the same approaches that DARPA promoted to overcome AI winter to trust AI?
  • How can we build explainable AI? Should we?
  • How should we rank and compare various ML frameworks coming on the scene, and what is the difference, and relationship, between AI and ML?


From the creators of Data By the Bay 2017 and 2016, Oh Hai AI 2017, Self-Driving Cars 2017, Scalæ By the Bay 2013−2016 and Text By the Bay 2015 conferences.

About Us

AI.vision is brought to you by the organizers of Scala By the Bay (SBTB) and Data By the Bay (DBTB) conferences. By the Bay, we call it The MIND Stack. How Artificial Intelligence differs from Machine Learning is an important boundary defining both areas, and we will discuss it.

The hallmark of the By the Bay events is their absolute NoBS character:

The attendees of SBTB and DBTB are highly technical – developers, data scientists, Directors/VPs of Engineering, CTOs, technical founders. We emphasize live coding, github/community-centric OSS, and immediate usability and applicability of the solutions presented.

Now, having reached a critical mass with four years of major conferences, doubling every year, and more than 600 resulting videos on our FunctionalTV channel, we believe we can produce high-level conferences which will be as good as any other, but different in one key way. We will do high-level conferences with full-stack speakers. Our full-stack speakers and panelists are those developers, data scientists, and entrerepneurs who built companies from scratch, who pushed the envelope of technology, and have risen to a vantage point where they see the future. But in addition to being able to reason about it, they are building it, and they know how it will be built. It is the high level view from those who can go down to the metal and high into the sky. By those who can talk the talk and walk the walk.

We can show you the money.

Series of conferences

AI By The Bay 2017

Tickets

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601 19th St. San Francisco, CA 94107

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