#99 Post-Deployment Data Science

Most organizations know AI matters, but few have turned that conviction into a written plan. Ambition and hope are everywhere; a clear roadmap tied to business strategy is rare. For teams on the ground, this gap shows up as scattered initiatives, tools nobody fully uses, and a lo ...  Show more

AI agents are starting to handle parts of the shopping journey that used to require human judgment — discovery, comparison, checkout. But behind every agent recommendation is a massive, invisible layer of data infrastructure. Product catalogs need to be structured, inventory sync ...  Show more

If data is in a pool that only keeps getting deeper as data inventory is accounted for, when is the exact moment for a business leader to jump in to do something with all the accumulated information? Leaders who care about data appreciate that it’s necessary to take stock befo ...

In the dynamic realm of business intelligence and data analytics, the journey from static charts to live, collaborative decision-making platforms illustrates a profound evolution. This episode of Tech Talks Daily welcomes Mike Palmer, CEO of Sigma Computing, to shed light on this ...  Show more

Swiss RE’s SVP of P&C R&D, Jerry Gupta is a firm believer in the revenue-generating potential and AI and machine learning. On this episode of The Data Chief, Jerry offers his v ...

Organizations use their data to make better decisions and build innovative experiences for their customers. With the exponential growth in data, and the rapid pace of innovation in machine learning (ML), there is a growing need to build modern data applications that are agile and ...  Show more