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AI MASTERY: EQUIPPING THE MINDS TO THE NEXT GENERATION OF TECHNOLOGY
Co-located with ODSC West, Ai X Business and Innovation Summit is returning to the San Francisco Bay Area. Join industry leaders and pioneers and be at the forefront of AI-driven innovations. Don’t miss this chance to gain valuable insights, upskill, and network with like-minded professionals.
Why Attend?
Embrace AI’s Potential and Elevate Your Business
From AI Adoption to Ethics & Strategy, Discover the Future of Business at AI X
The Future of Work: Navigate AI’s impact on workforce, roles, and skills. Unlock efficiencies, adapt to change, and cultivate innovative strategies for sustainable business growth.
Transform Business Creativity: Harness Generative AI’s potential to automate content creation, design, and decision-making. Elevate innovation, customization, and efficiency across industries.
Unlocking AI’s Value: Learn strategies for effective AI integration in business operations, efficiency, innovation, and competitive edge. Navigate challenges and drive success in AI adoption.
Harness AI’s potential to drive business growth. Develop data-driven plans for smarter decisions, enhanced customer experiences, and operational efficiency, leading to a competitive edge in the market
Chart a course for responsible AI. Address data privacy, mitigate bias, and build trust. Navigate the complexities of Gen AI and LLMs while upholding ethical standards for business success.
Discover transformative AI-driven agent systems. Enhance efficiency, decision-making, and customer engagement. Leverage advanced LLM agents to empower businesses with cutting-edge intelligent automation.
WHY ATTEND
LEADING EXPERTS
Featuring keynotes, talks, panel discussions with experts on Generative AI, governance, AI Ethics, and AI adoption from industry, academia, and government. Learn from those at the forefront of innovation in and implementation of AI.
GET INSPIRED
Experience firsthand the potential of AI. Our summit showcases the latest advancements in AI, generative AI, Large Language Model, and AI-drive agent applications with an emphasis on how they can help your organization achieve its goals.
NETWORK WITH PEERS
Connect with professionals, executives, and enthusiasts who share your passion for AI and its potential to revolutionize industry and business. Our summit offers a unique opportunity to build relationships, exchange ideas, and collaborate with your peers from across the world.
Topics
You’ll Learn
West 2023 Registration
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WHY ATTEND
Expert Executive AI Speakers
Hear from top expert speakers and prepare your company for the next wave of innovation and growth. Here is a sample of our incredibly insightful session topics for 2023
How to Effectively Scale ML & AI in Any Organization
How Healthcare Data Science is Special
Everybody onboard: Talk AI to non-STEMs
Measuring Integrity: Emergent Data Science Techniques within the Legal, Regulatory & Compliance Space
What do Planes and Machine Learning have in common? How Interpretable ML can improve decision-making
Accelerating the machine learning workflow: How to build the right ML experience for engineers
Automating Industrial Inspection with Deep Learning and Computer Vision
Powering Conversational AI to Enhance Global Customer Experience
Data-Driven Innovation in the Federal Government
Machine Learning and Robotics in Healthcare Devices and Rehabilitation
Participate at ODSC West 2023
As part of the global data science community we value inclusivity, diversity, and fairness in the pursuit of knowledge and learning. We seek to deliver a conference agenda, speaker program, and attendee participation that moves the global data science community forward with these shared goals. Learn more on our code of conduct, speaker submissions, or speaker committee pages.
Some of Our Past Speakers
Ella Hilal, PhD
Ella Hilal is an active researcher and a subject matter expert with more than 15 years of experience in data intelligence, machine learning, ambient intelligence, autonomous systems, and Internet of Things, backed by versatile experience in academia and the tech industry in proactive innovation, solution development, and turning novel ideas into revenue-generating products. Dr. Hilal has been recognized as one of the leading women in the Internet of Things and Machine-to-Machine space by the Connected World forum. She has a Doctorate degree in Pattern Analysis and Machine Intelligence from the University of Waterloo. She is the Director of Data Science and Engineering for Plus and International at Shopify. Dr. Hilal is also an adjunct assistant Professor at the University of Waterloo. Dr. Hilal has been recognized numerous prestigious awards, most prominent of which are NSERC IRDF, NSERC CGS, Fulbright, DAAD, and OGS. Dr. Hilal is an active evangelist for responsible innovation, women in tech, and STEM. She has also been recognized by the Google Anita Borg Memorial Scholarship as a Google scholar for her active role and leadership in supporting women in technology. She has been recognized as a champion in a Women in Technology Peer2Peer group, where professionals in the Waterloo region explore challenges and share insights to encourage retention and advancement of women in technology.
How to Effectively Scale ML & AI in Any Organization(Business Talk)
Jeremy Osinski
Jeremy is a leader in leveraging advanced analytics and data science within the legal, risk and compliance space. He leads the Forensics Technology and Innovation team within New England for Ernst & Young LLP.
Jeremy assists clients in enhancing integrity programs through data-driven techniques. He focuses on forensic data analytics, electronic discovery, information governance and cybercrime. He has served clients within financial services, power and utilities, and the public sector.
Jeremy has built teams and served clients on five continents. He is also a cofounder of the EY flagship forensic analytics platform, “EY Virtual.” He has delivered technology-enabled managed services to many clients.
He is a frequent speaker around emergent technologies, including artificial intelligence and robotic process automation.
Jeremy holds BS degrees in Finance and Economics from the Villanova School of Business at Villanova University. He is a certified fraud examiner and certified anti‑money laundering specialist.
Measuring Integrity: Emergent Data Science Techniques within the Legal, Regulatory & Compliance Space(Business Talk)
Kerry Weinberg
Kerry Weinberg leads Data at League, North America’s leading Health OS. Before joining League, Kerry led Data Science & Engineering for Amgen’s Digital Health & Innovation where her team applied machine learning to better understand human disease, improve Amgen’s ability to reach patients, and improve patient outcomes. Before joining Amgen, Kerry received her MBA and M.S. Biological Engineering from MIT as part of the Leaders for Global Operations Program. She previously led systems engineering efforts for high-speed cell sorters at Beckman Coulter. Kerry holds a B.S. Biological Engineering also from MIT.
A Day in the Life: Data in Digital Health(Business Talk)
Kristen Honey, PhD
As the Deputy Chief Data Officer of Strategy at the Department of Health and Human Services (HHS), I play a critical role in advancing and transforming HHS headquarters into a data-driven culture while ensuring optimal use of data to produce evidence-based policymaking and improvements of operations. Prior to joining HHS, I served in the White House for 3 years across 2 Administrations, first working as a Policy Advisor to the U.S. Chief Technology Advisor in the Office of Science and Technology Policy (OSTP), and then as a Senior Policy Analyst in the Office of Management and Budget (OMB).
Data-Driven Innovation for COVID-19(Business Talk)
Jeff Potts, PhD
Jeff Potts is the Advanced Analytics Leader for Baker Hughes. Jeff leads an interdisciplinary team of senior data scientists and technologists to deliver new analytics solutions leveraging AI and ML across Baker Hughes product companies, with focus on applications for industrial inspection, additive manufacturing, and energy transition. Jeff holds a PhD in Materials Engineering from the University of Texas at Austin and a bachelor’s degree in Mechanical Engineering from Oklahoma State University. He has published over twenty technical publications and filed over ten patent applications, with technical and leadership experience in a variety of areas including artificial intelligence, energy storage, augmented/mixed/virtual reality technologies and materials development.
Automating Industrial Inspection with Deep Learning and Computer Vision(Business Talk)
Olga Beregovaya
A seasoned professional with over 20 years of leadership experience in language technology, NLP, ML and AI data generation and annotation, Olga is the VP, AI Innovation at Welocalize. She is passionate about growing business through driving change and innovation, and an expert in building things from scratch and bringing them to measurable success. Olga has experience on both the buyer and the supplier side, giving her unique perspective around establishing strategic buyer/supplier alliances and designing cost-effective Global Content Lifecycle Programs. She has built and managed global production, engineering and development teams of up to 300 members specializing in NLP and broader ML and AI.
Creating Data to Enable Multilingual AI: What Can Go Wrong and Ways to Mitigate It (Business Talk)
Serg Masis
Serg Masís has been at the confluence of the internet, application development, and analytics for the last two decades. He’s an Agronomic Data Scientist at Syngenta, a leading agribusiness company with a mission to improve global food security. Before that role, he co-founded a search engine startup, incubated by Harvard Innovation Labs, that combined the power of cloud computing and machine learning with principles in decision-making science to expose users to new places and events efficiently. Whether concerning leisure activities, plant diseases, or customer lifetime value, Serg is passionate about providing the often-missing link between data and decision-making. He wrote the bestselling book “Interpretable Machine Learning with Python” and is currently working on a new book titled “DIY AI” with do-it-yourself projects for AI hobbyists and practitioners alike.
Facial Recognition from Scratch with Python and JS(Workshop)
David Gilmore
David Gilmore is a serial entrepreneur with a track record of building elite global teams, creating and launching enterprise software products built on emerging technologies, and executing complex GTMs in healthcare, adtech, national security, and finserv. Currently, David leads federated (multi-cloud) and privacy-preserving analytics products at LiveRamp where he serves as the Head of Privacy Tech Solutions. Previously, David was the CEO at Datafleets, which was acquired by LiveRamp in February 2021.
A Framework for Evaluating Privacy-preserving Data Infrastructure for Collaboration(Business Talk)
Francesco Murdaca
Francesco is a senior data scientist/software engineer at Red Hat and he is part of the AI Centre of Excellence (AICoE) and Office of the CTO. He works with the Thoth team, where they created a recommender system to help developers (including data scientists) to focus on important problems offloading many tasks that are automated and performed by pipelines and bots. He has a passion for AI, software and space. He previously worked on a research project with the European Space Agency (ESA) and industrial partners mixing AI and space to create a recommender system for the design of satellites. He loves to read, travel and learn languages.
Reproducibility and Dependencies for Jupyter Notebooks(Business Talk)
Nick Elledge
Nick Elledge is the head of operations for privacy technology at LiveRamp, where he is responsible for accelerating the development of the company’s privacy-enhancing technologies. His extensive experience bringing privacy-first solutions to market is integral to LiveRamp’s international growth. Prior to LiveRamp, Nick founded DataFleets, a privacy-preserving analytics platform. He previously was vice president and chief investment officer of E.L. Rothschild. Before that, he was a venture capital investor at Andreessen Horowitz, an innovation consultant to the United Nations World Food Programme, and a business analyst at McKinsey & Company.
Nick holds an MBA from Stanford University, a Master’s of Public Administration in international economics from Harvard University, a bachelor of science and bachelor of arts in economics and public policy from Southern Methodist University. He loves international travel, ultimate frisbee, and improv comedy.”
A Framework for Evaluating Privacy-preserving Data Infrastructure for Collaboration(Business Talk)
Jay Fraser
Jay is a tech executive and military leader with 15 years of multinational experience including general management of small to mid-size organizations. He currently leads Global Business Development efforts in HP’s Data Science Business. Jay joined HP in 2015 after spending 8 years on active duty as a Marine Infantry Officer serving in a variety of leadership roles and deploying across the globe. He holds a BS from the US Naval Academy and an MBA from UCLA. Although he was born and raised in Boston and his loyalty lies with New England sports teams, he enjoys living with his wife in beautiful San Diego!
The Power of Data Science – Real World Use Cases(Business Talk)
Tom Coyle
Tom is a graduate of the U.S. Military Academy at West Point and served 7 years as an Army Officer. Following his Army service, he became a diplomat where he served in numerous overseas postings and conducted various trips abroad. Upon returning to Washington, DC, he became interested in technology and started exploring the startup work. He also joined a task force to help bring AI and other emerging technology to the government. He also started a leadership company called Adventures in Leadership. Starting in 2019, he devoted the company to teaching AI for Decision Makers. He helped clients plan, develop, and procure AI solutions to their business use cases and taught AI classes for C-Suite executives.
In 2020, he joined DataRobot where he worked as Director of Strategic Initiatives under CEO and Founder Jeremy Achin. While there, he helped outline government strategy and led the development of several COVID-19 related projects. He also developed a fantasy football application using DataRobot. He also led teams in developing cyber security and insider threat solutions for government customers and also taught AI classes for U.S. government customers.
He is the CTO and co-founder of Sciencella LLC, an early stage health tech startup. He currently serves as an AI advisor for Veloxxity LLC and Royal Technology and Agriculture. He is the author of Leadership Lessons from the Battle of Gettysburg, which also includes lessons on what happens when leaders do not adapt to new technology. He is an avid musician, reader, husband, and father.
Leadership and AI(Business Talk)
Aaron Cheng, PhD
Aaron is currently the Vice President of Data Science and Solutions at dotData. As a data science practitioner with 14 years of research and industrial experience, he has held various leadership positions in spearheading new product development in the fields of data science and business intelligence. At dotData, Aaron leads the data science team in working directly with clients and solving their most challenging problems. Prior to joining dotData, he was a Data Science Principle Manager with Accenture Digital, responsible for architecting data science solutions and delivering business values for the tech industry on the West Coast. He was instrumental in the strategic expansion of Accenture Digital’s footprint in the data science market in North America. Aaron received his Ph.D. degree in Applied Physics from Northwestern University.
Managed AI: How To Avoid The Pitfalls of No-Code AI(Business Talk)
Marcella Valentine
Marcella Valentine is a founding technical program manager at CrowdAI. She serves as a thought leader on building the right data foundation for scalable machine learning projects, from the United States Government to the Fortune 500, turning customer ideas and needs into actionable machine learning project plans. Her background is in large scale geospatial projects and has previously worked in groundwater flow research and contamination cleanup. She holds a Bachelors of Science in Geophysics and Geographic Information Systems from the University of California, Davis.
Accelerating the Delivery of Vision AI(Business Talk)
AI X West Schedule
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