Unlocking Gemini: How a modern data estate powers AI & real-time analytics

By the time a specialized data engineer converts your business question into a technical spec and pulls a report, your insights are weeks or even months out of date. Meanwhile, critical unstructured data like call audio files, chat logs and agent notes sits completely untapped.

In this episode of Unlocking Gemini, TTEC Digital’s Caleb Johnson and Anhai Jin break down how a modern data estate shifts your business from retrospective batch processing to real-time action.

Learn how to:

  • Leverage Google Cloud architecture (including Looker and Dataplex)
  • Establish a centralized semantic layer
  • Embed machine learning directly into your active data flows

Track the full customer journey, run instant natural language queries, and calculate real-time churn risk or lifetime value scores — all while your agents are talking to customers.

Give your team the speed, flexibility, and data governance required to fuel production-ready AI solutions.

Keep up with the latest CX and AI innovations from Google Cloud

Our Unlocking Gemini podcast series features the latest and greatest GECX advancements and how to leverage them to support your goals.

Explore the episode library
Smiling man wearing glasses and a white shirt with a blurred mountain landscape background.
Anhai Jin
Man with short dark hair and beard wearing a checkered shirt, seated with arms crossed on a table in front of a bright window.
Caleb Johnson
Data and analytics
Artificial intelligence
Text Link
Google