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AI By The Bay <img height="1" width="1" style="display:none" src="https://www.facebook.com/tr?id=1795973007284697&ev=PageView&noscript=1" /> <div><img src="https://mc.yandex.ru/watch/41716039" style="position:absolute; left:-9999px;" alt="" /></div>

AI By The Bay



Understanding and defining AI:

from Technology to Strategy


March 6−8, 2017 in San Francisco

AI By the Bay is a technical conference defining AI in the context of startups and enterprises.
We start with a rigorous introduction to AI by the hands-on industry leaders, live-coding the major open-source AI implementations to highlight the key algorithms, data pipelines, and application context.
We dig deep into autonomous transportation as an industry deploying Deep Learning at scale and transforming most rapidly.
We end with a groundbreaking day of AI strategy defined by the full-stack AI leaders who both build AI and define its strategy and future.

Who should attend

  • Tech Leads, Developers, Data Scientists building AI systems from open source components
  • CTOs, VP and Directors of Engineering, Managers devising and implementing AI strategy
  • Technical Founders, Technically-inclined Investors, Analysts
  • Anybody else who wants to define AI rigorously and move ahead scientifically

Three-day conference

About Us

AI By The Bay is brought to you by the organizers of Data By the Bay 2017, 2016, Scalæ By the Bay 2013−2016 and Text By the Bay 2015 conferences.

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

  • there is no sponsored talks
  • all talks are accepted on technical merit
  • the bar is very high – there are many rejections

Now, having reached a critical mass with four years of major conferences, 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. 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.

Speakers

George Hotz
George Hotz
CEO at comma.ai

George Francis Hotz, alias geohot, is an American hacker known for unlocking the iPhone, allowing the phone to be used with other wireless carriers. Since September 2015, Hotz has been working on his own AI startup called comma.ai. Hotz has built a working self-driving 2016 Acura ILX, which he demonstrated on the I-280 in a video.

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.

Adam Gibson
Adam Gibson
Creator of deeplearning4j

Adam Gibson is an entrepreneur and computer scientist. He co-founded the artificial intelligence/machine learning company Skymind.io and the open source frameworks Deeplearning4j and ND4J, or n-dimensional arrays for Java. He is also advisor to the data science master's program at GalvanizeU in San Francisco.

Xin Wei Ngiam
Xin Wei Ngiam
Director of Corporate Strategy, Grab

Director of Corporate Strategy, Grab, and Regional Head, GrabHitch, for Singapore, Kuala Lumpur (Malaysia) and Jakarta (Indonesia)

Chris Fregly
Chris Fregly
Research Scientist at PipelineIO

Chris is a regular speaker at many conferences and Meetups throughout the world. He’s also an Apache Spark Contributor, Netflix Open Source Committer, and Founder of the Global Advanced Spark and TensorFlow Meetup, and Author of the upcoming O'Reilly Video Series on Deploying and Scaling Distributed TensorFlow in Production. Previously, Chris was a Distributed Systems Engineer at Netflix, Data Solutions Engineer at Databricks, and a Founding Member of the IBM Spark Technology Center.

Vitaly Gordon
Vitaly Gordon
VP, Data Science and Engineering at Salesforce

Prior to Salesforce, Vitaly was a data science lead at LinkedIn, founded the data science team at LivePerson and worked in the elite 8200 unit, leading a team of researchers in developing algorithms to fight terrorism. His contributions have been recognized through a number of awards including the “Life Source” award, an award given each year deemed most high-impact in saving lives. Vitaly holds a B.Sc in Computer Science and an MBA from the Israeli Institute of Technology.

Mike Tamir
Mike Tamir
Chief Data Science Officer, Takt

Mike serves as Takt Chief Data Science Officer, is part of the UC Berkeley iSchool DS faculty, and sits as DS advisor for several Machine Learning projects including Corvana, Skymind/DL4J, and InterTrust. Mike has led several teams of Data Scientists in the bay area as Chief Data Scientist for InterTrust, Director of Data Sciences for MetaScale/Sears, and Chief Science Officer for Galvanize where he oversaw Galvanize’s transformation into the premier Data Science immersive education institution and founded the galvanizeU-UNH accredited MS in DS degree.

Lukas Biewald
Lukas Biewald
Founder, Chief Data Scientist at CrowdFlower

He has worked as a Senior Scientist and Manager within the Ranking and Management Team at Powerset, Inc., a natural language search technology company later acquired by Microsoft, and also led the Search Relevance Team for Yahoo! Japan. He graduated from Stanford University with a BS in Mathematics and a MS in Computer Science.

Christopher Moody
Christopher Moody
Data Scientist, Stitch Fix

Caltech - Astrostats - PhD supercomputing. Now data labs @stitchfix coding up word2vec, Gaussian Processes, t-SNE, tensors, Factorization Machines, RNNs, & VI

Stephen Merity
Stephen Merity
Senior Research Scientist, Salesforce

Stephen Merity is a senior research scientist at MetaMind, part of Salesforce Research, where he works on researching and implementing deep learning models for vision and text, with a focus on memory networks and neural attention mechanisms for computer vision and natural language processing tasks.

John Eggert
John Eggert
Senior Sales and Marketing Manager, Velodyne LiDAR

John Eggert has more than 20 years of international experience in program management and sales and marketing management of products for the automotive industry, including automotive interiors and passive safety components and systems. His curiosity about the trends and technologies that will upend the automotive industry in coming decades led him to Velodyne LiDAR in 2015.

Christopher Heiser
Christopher Heiser
Co-founder and CEO of Renovo

Christopher Heiser is co-founder and CEO of Renovo, a Silicon Valley technology company focused on the challenges of Autonomous Mobility on Demand (AMoD). He has built his career taking disruptive technologies to market; his previous roles include pioneering the camera phone (LightSurf), creating groundbreaking consumer products (IDEO) and building massively scalable global software systems (VeriSign). Mr. Heiser received his degree in Mechanical Engineering from Carnegie Mellon where he designed and built autonomous vehicles and exoplanet rovers. He successfully led teams in robotics competitions to multiple world championships, and at IDEO he helped win the inaugural Sandhill Challenge.

Wolfgang Juchmann
Wolfgang Juchmann
‎VP of Sales & Business Development at AutonomouStuff, LLC

Wolfgang Juchmann, Ph.D. has more than 16 years of international experience in technical sales, product management and business development of high-tech products for a variety of applications. Wolfgang became more involved with autonomous vehicles and perception sensors for ADAS and level 4 autonomy as Director of Sales and Marketing at Velodyne LiDAR. Since January 2016 he has expanded his expertise at AutonomouStuff to also include radar, vision and ultra-sonic sensors, real-time 3D data fusion middleware, fully by-wire controllable Autonomous Development vehicles and recently, modular software algorithms for advanced autonomous driving tasks.

Jur van den Berg
Jur van den Berg
Co-Founder, Otto

Jur van den Berg is a founding employee of the start up Otto, which started in the beginning of 2016 to develop technology, software, and infrastructure for self-driving trucks. Otto was recently acquired by Uber, where Jur is now officially a senior staff engineer. Jur has expertise in a broad range of subjects in robotics, but his core expertise and main subject area in his academic and industrial career of almost ten years has been motion planning, most recently with a specific focus on self-driving vehicles.

David Silver
David Silver
Udacity

David Silver leads the Self-Driving Car Team at Udacity, which is launching a nine-month program to train engineers to work in the autonomous vehicle industry. Prior to Udacity, David was a Research Engineer at Ford Motor Company. Before Ford, David worked in engineering and product roles at Candidate Metrics, mSpot, and AOL. He has an MBA from Stanford University, and a BSE in computer science from Princeton University.

Ted Graham
Ted Graham
Head of Open Innovation at GM

Ted Graham is the head of Open Innovation at General Motors where he helps identify partnerships that will help build new forms of mobility including autonomous and connected vehicles. He is also the former Innovation leader at PWC and a McKinsey strategy consultant with a focus on understanding and leveraging people networks to influence the spread of ideas.

Karen Tay
Karen Tay
Smart Nation Director (North America)

Karen Tay is Singapore’s Smart Nation Director covering North America. She is experienced in policy, strategy, engagement and regulation across a variety of public sector domains. Prior to her current job, she worked in Finance, Education and the Prime Ministers’ Office, and has been a speechwriter and adviser to Singaporean Ministers. She is passionate about deploying technology for public good and writes at www.techandpublicgood.com.

Elliot Katz
Elliot Katz
Global Co-Chair of DLA Piper's Connected and Self-Driving Car Practice

Elliot is Global Co-Chair of DLA Piper's Connected and Self-Driving Car Practice. In that role he advises automakers, tech companies, and municipalities on regulatory, policy, and privacy issues pertaining to these types of vehicles. Elliot regularly speaks and writes on self-driving car issues and has recently been quoted in articles on this topic in The Chicago Tribune, The San Francisco Chronicle, The Miami Herald, Bloomberg, Yahoo Finance, TU Automotive, Law360, and eSecurity Planet.

Danny Shapiro
Danny Shapiro
Senior Director of Automotive at NVIDIA

Lead marketing for NVIDIA's Automotive Business Unit, delivering solutions to automakers for self driving cars, infotainment, digital instrument clusters, rear seat entertainment and advanced driver assistance systems.

Doug Davenport
Doug Davenport
Prospect Silicon Valley (Jan 2017), Founder and former CEO

Doug Davenport founded Prospect Silicon Valley, a nonprofit urbantech innovation hub bringing startups and product teams with government agencies to accelerate innovation in transportation, energy and environment. As the founding CEO, he advised numerous clients and partners from product use case to commercialization, and built a program that has produced over $140M in investment and $50M in public financing for emerging technology field trials and early adoption.

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Our Sponsors

IBM
IBM
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