Brittle data foundations stall projects, coding barriers and talent shortages drag development into months, siloed systems demand massive overhauls, and governance gaps risk compliance while ROI lags amid sky-high expectations.
These are some of the factors that are inhibiting your Agentic AI implementation to scale across the organization.
The core of the session is like a structured playbook that covers: clarifying business outcomes and decision points; identifying the data and signals required; and mapping these to the right platform capabilities and AI or agentic patterns.
NOTE : Unauthorized use and/or duplication of this material without express and written permission from this site's author and/or owner is strictly prohibited
Chief Product Officer | Polestar Analytics
Sid Poddar is Chief Product Officer at Polestar Analytics, where he leads strategic initiatives to drive data-led transformation and value creation for global clients. With over 18 years of experience in procurement, analytics, and digital transformation, Sid has successfully partnered with Fortune 500 companies across industries such as oil & gas, consumer goods, and technology.
Sid holds an MBA and has worked extensively across North America, APAC, and Europe, building high-performing global teams and advising C-level executives on procurement strategy and technology adoption.
Lead Product Consultant - Data Solutions | Polestar Analytics
She currently leads the technical data solutions development of our core product - 1Platform and is responsible for Data Nexus and MDM solutions. She brings a lot expertise in product development and data management solutions.
Recognized for her ability to turn action points into scalable features, Aarshi is passionate about solving complex challenges through data-driven innovation.