


February 15-16, 2023
Enterprise AI Summit
San Francisco
Apply AI in Business and Achieve ROI
Discover the latest AI applications enabled via machine learning to uncover the potential for AI to transform the enterprise.
CONFIRMED SPEAKERS INCLUDE
Tejaswi Tenneti
Director of Machine Learning
Instacart
Tejaswi Tenneti is a Director of Machine Learning at Instacart. His team is responsible for building ML models for user intent understanding, neural text modeling and multi-objective ranking for search and recommendation use cases across multiple content types like products and recipes. He graduated with a master's degree in CS from Stanford University with a specialization in Artificial Intelligence. He has over a decade of experience in leading search and discovery efforts across multiple domains like e-commerce, points of interest in maps, job search and enterprise.
Tyler Suard
AI Engineer
A Fortune 500 Company
Tyler Suard is an Artificial Intelligence Engineer in the San Francisco Bay Area, currently working as a contractor at a Fortune 500 Company. He has also worked for Meta and has contributed to code now in use by many of the world's top companies. When he is not coding, Tyler enjoys 3d printing and spending time with his fiancee, Joanna.
Ipsita Mohanty
Applied Scientist/Software Engineer, Machine Learning - Technical Lead
Walmart Global Tech
Ipsita Mohanty is a Software Engineer, Machine Learning - Technical Lead, working on several key product and research initiatives at Walmart Global Tech. She has an MS degree in Computer Science from Carnegie Mellon University, Pittsburgh. Prior to her Masters' program, Ipsita worked as an Associate for six years, developing trading and machine learning algorithms at Goldman Sachs in their Global Market Division at Bengaluru & London locations. She has published work on Natural Language Understanding, and her research work spans across disciplines of computer science, deep learning, and human psychology.
Hamza Farooq
Senior Research Science Manager
Hamza has over a decade of experience in leading Data Science/ Machine Learning teams. His tenure spans over three continents and seven countries across APAC, Middle East and Africa and North America and multiple industries, namely, Tech, Telecommunications, Finance and Retail. He is currently working at Google as a Senior Research Science Manager and is also serving as an Adjunct Professor at University of Minnesota and Santa Clara University.
Roopnath Grandhi
Product Leader, Entrepreneur, AI Leadership
Johnson & Johnson
Roopnath Grandhi is Principal Product Manager at Johnson & Johnson where he leads the Machine Learning platform that helps power various use cases like Drug Discovery and Clinical Trials. He co-founded a Conversational AI startup Relish AI that develops Conversational AI assistant as a service for eCommerce brands. Previously, he led the recommendations AI team at eBay Research labs and has multiple patents in machine learning and eCommerce.
Sam Stone
Director of Product Management, Pricing & Data
Opendoor
Zhiyuan Zhang
Engineering Manager, ML Serving Platforms,
Zhiyuan is an engineering manager for ML Serving Platforms at Pinterest. His team builds large-scale machine learning inference systems that serve billions of events per minute and drive applications in ads, search, recommendation, and safety. Previously, Zhiyuan was an early member of visual search and core infrastructure teams at Pinterest, where he worked on various recommendation and async execution systems.
Sherin Mathews
Principal Research Scientist
U.S. Bank
Dr. Sherin Mathews is a Principal AI Research Scientist within the Chief Digital Office Innovation team at U,S Bank and is responsible for driving innovative solutions at the intersection of A.I. and financial services and redefining finance with A.I. solutions. Before her role at U.S. Bank, Sherin held research positions at Mcafee, Intel Corporation, and Canon Inc. She has been instrumental in developing next-generation security solutions using computer vision and deep learning techniques to improve and increase the effectiveness of cybersecurity products. Within the Office of the CTO for Intel Security/ McAfee, Sherin pioneered the concept of Explainability, Fairness, Ethics in security. She also developed solutions for detecting ransomware attacks, steganography attacks, deepfakes, and misinformation detection tools.
Shubham Suresh Patil
Staff Deep Learning Engineer
Stryker
Sravya Tirukkovalur
Senior ML Engineer
Adobe
Sravya works as a Senior Machine Learning Engineer at Adobe, where she is part of the team that develops the Sensei Platform, which enables machine learning capabilities throughout Adobe's product line. The platform is designed to provide consistent and reusable building blocks for Machine learning with a strong emphasis on software engineering. Prior to joining Adobe, Sravya co-founded ImpactAI.org, a non-profit organization that utilizes machine learning to address issues in sectors such as health and disaster recovery. She has experience working in both academic and industrial settings and has expertise in designing data and distributed systems for both machine learning and high-performance computing. Sravya is a strong supporter of open-source software and communities, and previously held the role of Vice President for the Apache Sentry project.
Carolyn Phillips
Senior Staff Machine Learning Scientist
Wayfair
Carolyn Phillips is a Senior Staff Machine Learning Scientist at Wayfair. She specializes in getting machine learning science research deployed at scale into engineering production systems. Carolyn is passionate about building elegant, simple, but pragmatic solutions that make innovating easy. With a PhD in Applied Physics and Scientific Computing from the University of Michigan, Carolyn began her career as a computational scientist at Argonne National Laboratory. She is ready to wax poetically about the self-assembly of icosahedral quasicrystals if asked.
Vishal Kapoor
Director of Product
Shipt
Amey Dharwadker
Machine Learning Tech Lead
Meta

WHAT TO EXPECT
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Receive access to multiple stages to optimize cross-industry learnings & collaboration
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Solve shared problems with like-minded attendees during round table discussions, Q&As with speakers or schedule 1:1 meetings
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Connect with attendees during and after the summit and build new collaborations through our interactive networking sessions
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On-Demand Access: if you're unable to attend in-person, you can register for on-demand access to watch the recorded presentations and panel discussions in your own time
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Hear from Expert Speakers to discover the latest advancements and trends of AI in the industry
Topics we cover
Enterprise Software
Business Case Studies
Organizational Transformation
Scalability
Technology Infrastructure
Leveraging AI
AI Implementation
Applied AI
Effective Training
Production Optimization
Robustness
WHY ATTEND
Our events bring together the latest technology advancements as well as practical examples to apply AI to solve challenges in business and society. Our unique mix of academia and industry enables you to meet with AI pioneers at the forefront of research, as well as exploring real-world case studies to discover the business value of AI.
Extraordinary Speakers
Machine Learning is now driving forward rapid innovation in AI and across business. The Enterprise AI Summit will feature the latest AI applications enabled via machine learning & deep learning to help businesses realize the untapped potential for AI to transform the enterprise.
Discover Emerging Trends
This Summit will showcase the emerging trends in AI-driven automation, to leverage advanced ML & DL capabilities to discover how it can transform your business and deliver advanced organizational knowledge, data, and information.
Expand Your Network
A unique opportunity to interact with the leading solution providers as well as technologists advancing the field. Learn from & connect with AI experts over the 2 day summit.
Who Should Attend
- Chief AI Officer
- Chief Data Scientist
- CIO, CTO, CDO, CEO
- Head/VP of AI/ML
- Sr Data Scientist
- VP/Director of Infrastructure
- Head of Innovation
- Head of Engineering
- Head of IT
- Head of Analytics
Join the discussion
- 40+ speakers
- Leading researchers, data scientists & innovators
- Keynote Presentations & Panel Sessions
- Roundtable Discussions + Speaker Q&A
- Access to filmed presentations & slides
- Unlimited networking & connections
- Discover technology shaping the future
Downloads
Regular Attendees Include:
























WHAT PEOPLE SAY ABOUT RE•WORK





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Event Organizer /
Katie Pollitt
Production Director
Our events are all carefully created from scratch. The whole process from research to post-production is crafted by our team, so we are always available to assist with any queries! We look forward to meeting you at the event!
Sponsors Include:
We are pioneering synthetic data technologies to enable more capable and ethical AI.
We are a venture-backed startup at the intersection of deep learning and CGI, creating a new paradigm for computer vision model development. We enable our customers to develop better models at a fraction of the time and cost of traditional human-annotation based approaches.
Valohai is the MLOps platform purpose-built for ML Pioneers, giving them everything they've been missing in one platform that just makes sense. Now they run thousands of experiments at the click of a button – creating data they trust. All while using the tools they love to build things to last.
With Valohai, ML teams easily collaborate on anything from models to metrics. Allowing ML Pioneers to build faster and deliver stronger products to the world. Pushing the boundaries of what anyone out there ever dreamed they could do with ML.
With Valohai 's Smart Orchestration, you run models thousands of times. The Developer Core allows you to integrate with any tool from monitoring to optimization, and Knowledge Repository facilitates collaboration on anything from models to metrics. Constantly storing and versioning it all – making reproducibility a given.
Valohai - ML. The Pioneer Way.
At Featureform, we're creating workflow tools, not data infrastructure. We provide a clean and configurable workflow for ML teams, and enable ML resources to be leveraged across orgs. We standardize and accelerate the machine learning process! Visit website
Media Partners Include:
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KDnuggets is a leading site on Data Science, Machine Learning, AI and Analytics. Edited by Matthew Mayo (email to editor1 at kdnuggets). KDnuggets was founded by Gregory Piatetsky-Shapiro.
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