#data-governance

#data-governance

ODSC AI West 2025 brings together the leading voices, tools, and ideas shaping the future of data science and AI. This year's program features a diverse lineup of sessions that go beyond theory to deliver practical, hands-on strategies for tackling today's most pressing challenges - from building production-ready generative AI systems and deploying resilient agentic workflows to advancing data governance, computer vision, and Bayesian modeling. Whether you're a data scientist, engineer, researcher, or business leader, you'll find sessions designed to give you the skills,

Over the course of several years designing and delivering enterprise data platforms for a global pharmaceutical leader, I witnessed firsthand how data had evolved from a backend enabler to a frontline business asset. The organization was no longer just looking to report historical performance; it needed to predict outcomes, personalize patient engagement, customer engagement, brand performance and make regulatory decisions in near real time.

More than three million Californians are expected to lose health coverage in the next several years due to federal Medicaid cuts. At the same time, over half of Californians say they have skipped or delayed care because of rising costs -with nearly half in that group saying their health got worse as a result. As leaders of health organizations serving Alameda County, Santa Cruz and the Central Coast, we can say unequivocally that these are the two greatest health challenges we've faced since the pandemic:

Successful organizations aren't just aligning marketing and IT - they're building systems of collaboration that last.

The leap from chatbot to AI agent is not just about adding automation - it's about architectural transformation, embedding reasoning and action in context.

We heard from our customers and large organizations that managing data access at scale has become a really big problem,

In the past 30 years, advances in data management have been driven by Moore's Law, yet the basic architecture of analytics remains unchanged since 1992.

As I like to say, this path to agentic 'AI heaven' goes through some form of data hell, and that's the grim reality.