Find Financial Fraud Fast: Anomaly Detection with ThoughtSpot Python Notebook & Google Sheets

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.

Snowflake Data Prep & Writeback in Minutes: Analyst Studio SQL IDE Tutorial

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.

Mashup Data from Google Sheets & Cloud Warehouse: Analyst Studio Modeling Tutorial

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.

Turn EU Pay Transparency Compliance Into Confidence with Qlik

In 2023, the EU introduced measures to ensure there will be focus on the gender pay gap and at the same time strengthen employee rights, especially for companies that have more than 100 employees. For businesses and specifically HR Professionals, this directive coming into force in the mid-point of 2026 creates several challenges that require both operational and strategic responses.

Ep 50 | The AI Readiness Gap: Is Your Data an Asset or a Liability with IBM's Marcela Vairo

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.

Countly 26.01: The Future of Analytics is Faster, Smarter, and Ready for AI

Artificial intelligence is changing how every team, from startups to global brands, builds, learns, and competes. But AI is only as powerful as the data it’s built on. That’s why we’ve rebuilt Countly from the ground up, to make data faster, smarter, and truly AI-ready.With Countly 26.01, we’re introducing our next-generation data engine: This release marks a turning point for Countly: from analytics to intelligence.

How Finance Teams Can Reclaim Control of Cloud Data

In an era of economic uncertainty and rapid digital transformation, finance and accounting professionals face a paradox: their data has never been more abundant, yet access to it has never been more challenging. Kevin Gibson, CPA and Principal Solutions Engineer at insightsoftware, recently sat down with Scott Taylor on an episode of the Don’t Panic!

Confluent Recognized as a Leader in The Forrester Wave: Streaming Data Platforms, Q4 2025

As artificial intelligence (AI) adoption has grown over the last several years, it has become increasingly clear to companies and observers that successful AI requires real-time data and context. And it’s not just AI—every critical business function that relies on data inputs needs that data to be as trustworthy and fresh as possible.