Keynote Speakers
Hear inspiring and illuminating presentations from experts and executives at the O’Reilly AI Conference.
Roger Chen
CEO, Computable
Roger Chen is cofounder and CEO of Computable and program chair for the O’Reilly Artificial Intelligence Conference. Previously, he was a principal at O’Reilly AlphaTech Ventures (OATV), where he invested in and worked with early-stage startups primarily in... Read More.
Details to come. Full Details
Program chairs Ben Lorica, Roger Chen, and Alexis Helzer open the second day of keynotes. Full Details
Program chairs Ben Lorica, Roger Chen, and Alexis Helzer open the first day of keynotes. Full Details
Alexis Crowell Helzer
Senior Director, AI Product Marketing, Intel
Alexis Crowell Helzer is senior director of artificial intelligence product marketing at Intel, where she and her team are responsible for technical positioning and messaging as well as outbound content and campaigns for Intel AI products. Alexis and her team... Read More.
The AI revolution is poised to scale both machine and human knowledge. To generate that knowledge, companies must think differently about AI and how to deploy it. Alexis will cover the three “Be’s”, and how to approach AI systematically to truly harness knowledge at scale. Full Details
Program chairs Ben Lorica, Roger Chen, and Alexis Helzer open the second day of keynotes. Full Details
Program chairs Ben Lorica, Roger Chen, and Alexis Helzer open the first day of keynotes. Full Details
Raffaello D’Andrea
Founder and Chief Executive Officer | Professor, Verity | ETH Zurich
Raffaello D’Andrea is founder, CEO, and chairman of the board of Verity, the world’s leading autonomous indoor drone system provider; cofounder of ROBO Global, creator of the world’s first robotics exchange traded fund; and a professor of dynamic... Read More.
It's hard ignore the attention given to autonomy and robotics. The impact is significant and the reach is extensive, hitting transportation with self-driving cars, logistics and supply with mobile robots, and remote sensing applications with aerial vehicles or drones. Raffaello D'Andrea explores how autonomous indoor drones will drive the next wave of autonomous robotics development and growth. Full Details
Mohamed Fawzy
Senior Manager and Tech Lead, Facebook
Mohamed Fawzy is senior manager and tech lead at Facebook. In his six years at the company, he’s worked on its distributed storage system and was part of the team that developed cold storage, Facebook’s exabyte archiver storage system that... Read More.
AI plays a key role in achieving Facebook's mission of connecting people and building communities. Nearly every visible product is powered by machine learning algorithms at its core, from delivering relevant content to making the platform safe. Kim Hazelwood and Mohamed Fawzy explain how applied ML has continued to change the landscape of the platforms and infrastructure at Facebook. Full Details
Arash Ghazanfari
Field CTO and Principal Technologist | UK and Ireland Enterprise, Dell Technologies
Arash Ghazanfari represents the office of the CTO in the UK and Ireland region for Dell Technologies. Arash serves as a field CTO, supporting the overall go-to-market strategy across the full breadth of the Dell Technologies ecosystem. Previously,... Read More.
As we look toward more demanding applications of artificial intelligence to unlock value from data, it's increasingly essential to develop a sustainable big data strategy and to efficiently scale artificial intelligence initiatives. Arash Ghazanfari covers the fundamental principles that need to be considered in order to achieve this goal. Full Details
Ritika Gunnar
Vice President, Data and AI Expert Services and Learning, IBM
Ritika Gunnar is the vice president of data and AI expert services and learning at IBM. She and her team work with clients on their transformation journey through a data- and AI-first methodology and help implement data and AI... Read More.
Ritika Gunnar explores why you need to focus on your organization’s culture and build a data-first approach to shape a strong, AI-ready organization. Full Details
Kim Hazelwood
Kim Hazelwood is a senior engineering manager leading the AI Infrastructure Foundation and AI Infrastructure Research efforts at Facebook, where the focus is designing and optimizing efficiency hardware and software systems for Facebook’s many applied machine learning-based products and services.... Read More.
AI plays a key role in achieving Facebook's mission of connecting people and building communities. Nearly every visible product is powered by machine learning algorithms at its core, from delivering relevant content to making the platform safe. Kim Hazelwood and Mohamed Fawzy explain how applied ML has continued to change the landscape of the platforms and infrastructure at Facebook. Full Details
Ihab Ilyas
Professor, Computer Science, University of Waterloo
Ihab Ilyas is a professor in the Cheriton School of Computer Science at the University of Waterloo, where his research focuses on the areas of big data and database systems, with special interest in data quality and integration, managing uncertain... Read More.
Ihab Ilyas highlights the data-quality problem and describes the HoloClean framework, a state-of-the-art prediction engine for structured data with direct applications in detecting and repairing data errors, as well as imputing missing labels and values. Full Details
Jeff Jonas
Founder and CEO, Senzing
Jeff Jonas is the founder and CEO of Senzing and is an acclaimed data scientist and the leading creator of entity resolution systems. He founded Senzing with the goal of making entity resolution technology available for everyone everywhere. For... Read More.
Entity resolution—determining “who is who” and “who is related to whom”—is essential to almost every industry, including banking, insurance, healthcare, marketing, telecommunications, social services, and more. Jeff Jonas details how you can use a purpose-built real-time AI, created for general-purpose entity resolution, to gain new insights and make better decisions faster. Full Details
Marta Kwiatkowska
Professor, Computing Systems and Fellow, University of Oxford
Marta Kwiatkowska is a professor of computing systems and fellow of Trinity College, University of Oxford. She’s known for fundamental contributions to the theory and practice of model checking for probabilistic systems. She led the development of the
Machine learning solutions are revolutionizing AI, but Marta Kwiatkowska explores their instability against adversarial examples—small perturbations to inputs that can catastrophically affect the output—which raises concerns about the readiness of this technology for widespread deployment. Full Details
Ben Lorica
Chief Data Scientist, O'Reilly
Ben Lorica is the chief data scientist at O’Reilly. Ben has applied business intelligence, data mining, machine learning, and statistical analysis in a variety of settings, including direct marketing, consumer and market research, targeted advertising, text mining, and financial engineering.... Read More.
Details to come. Full Details
Program chairs Ben Lorica, Roger Chen, and Alexis Helzer open the second day of keynotes. Full Details
Program chairs Ben Lorica, Roger Chen, and Alexis Helzer open the first day of keynotes. Full Details
Ian Massingham
Developer Evangelist, Amazon Web Services
Ian Massingham is a developer evangelist and is part of the technical leadership team at Amazon Web Services, where he draws on over two decades of expertise in internet technologies, technology operations leadership, architecture, and software engineering to help customers... Read More.
Reinforcement learning is an advanced machine learning technique that makes short-term decisions while optimizing for a longer-term goal through trial and error. Ian Massingham dives into state-of-the-art techniques in deep reinforcement learning for a variety of use cases. Full Details
Walter Riviera
AI Technical Solutions Specialist EMEA (UK Lead), Intel
Walter Riviera is an AI technical solution specialist (TSS) covering EMEA at Intel, playing an active role on most of the AI project engagements within the data centers business in Europe. He’s responsible for increasing business awareness regarding... Read More.
Walter Riviera details three key shifts in the AI landscape—incredibly large models with billions of hyperparameters, massive clusters of compute nodes supporting AI, and the exploding volume of data meeting ever-stricter latency requirements—how to navigate them, and when to explore hardware acceleration. Full Details
Emily Webber
Machine Learning Specialist Solutions Architect, Amazon Web Services
Emily Webber is a machine learning specialist solutions architect at Amazon Web Services (AWS). She guides customers from project ideation to full deployment, focusing on Amazon SageMaker, where her customers are household names across the world, such as T-Mobile.... Read More.
If you've ever wondered if you could use AI to inform public policy, join Emily Webber as she combines classic economic methods with AI techniques to train a reinforcement learning agent on decades of randomized control trials. You'll learn about classic philosophical foundations for public policy decision making and how these can be applied to solve the problems that impact the many. Full Details
Zhe Zhang
Senior Manager, Core Big Data Infra, LinkedIn
Zhe Zhang is a senior manager of core big data infrastructure at LinkedIn, where he leads an excellent engineering team to provide big data services (Hadoop distributed file system (HDFS), YARN, Spark, TensorFlow, and beyond) to power LinkedIn’s... Read More.
From people you may know (PYMK) to economic graph research, machine learning is the oxygen that powers how LinkedIn serves its 630M+ members. Zhe Zhang provides you with an architectural overview of LinkedIn’s typical machine learning pipelines complemented with key types of ML use cases. Full Details
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