Systems | Development | Analytics | API | Testing

Enterprise leaders are racing to deploy generative AI, but most overlook a critical foundation: data readiness. Despite bold ambitions, less than one-third of technology leaders believe their data is prepared to support AI at scale. Marcela Vairo, IBM’s Vice President of Data and AI for the Americas, joins The AI Forecast to explore one of the most persistent challenges in enterprise AI: why strong data foundations remain the exception, not the rule.

Data lives everywhere—from flexible Google Sheets to massive cloud data warehouses. How do you bring it all together for unified analysis? This video walks you through the power of ThoughtSpot Analyst Studio to handle complex, multi-source data modeling without leaving the platform. In this tutorial, you will master: Stop choosing between flexibility and scale.

Data workflows shouldn't take days! This video demonstrates how to use ThoughtSpot Analyst Studio’s SQL IDE to rapidly connect to your @SnowflakeInc data, make necessary transformations, and write the updated data back to Snowflake—all with just a few lines of code and in minutes. What you will learn in this quick tutorial.

Anomaly detection is crucial for financial analysis, and you don't need to leave your BI environment to do it! This video demonstrates a powerful workflow using ThoughtSpot Analyst Studio’s Python Notebook to perform advanced statistical analysis on your data.

Haylee Alexander, Head of Solutions Engineering for Snowflake Data Clean Rooms, walks through a Quickstart guide for installing Snowflake Data Clean Rooms.

In this episode of the End Data Disparity video series, host Ryan Green sits down with Jennifer Wong, Executive Director of the Partnership for Access, Collaboration and Trust Collective. During the conversation, Jennifer makes the point that as important as good data is, data alone doesn't create impact. That comes from the systems, the governance, and the business operations that surround the data, and the empathy of the people behind the data. Data, she notes, is only powerful when it is connected.