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In the final episode of this three-part series, Apurva Wadodkar, Senior Director and Head of Data and AI at TI Automotive, discusses how organizations can drive real adoption of data products across the enterprise.

In conversation with Merav Yuravlivker, Chief Learning Officer at Data Society, Wadodkar introduces the “Data Buffet” framework, which organizes data products by business domain and brings stakeholders directly into the design process.

Key insights include:

💠Why data product adoption is the true measure of success

💠Fixing upstream data quality issues through the “leaky faucet” mindset

💠Embedding standards and governance into data architecture

💠Preparing for emerging manufacturing challenges such as tariffs and supply chain volatility

Read Part 1 here.

Read Part 2 here.