Systems | Development | Analytics | API | Testing

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.

Build vs Buy: The Data Connectivity Decision

Your connectivity decisions have long-term consequences. They affect development velocity, cost structure, and time-to-market for years. When evaluating ODBC and JDBC connectivity options, technical leaders face pressure to deliver quickly while managing constrained resources and demonstrating ROI. Building connectors appears cost-effective when evaluating initial development costs alone.

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.

End Data Disparity | Looking Beyond Technology To Maximize Data's Impact

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.

Driver Based Forecasting: How to Build Reliable, Data-Driven Forecasts

Many organizations try to implement driver based forecasting but struggle to deliver accurate or timely forecasts. This happens not because the method is flawed, but because the underlying systems, data structure, and planning models cannot support continuous updates or cross-functional alignment. Teams often rely on spreadsheets, manual drivers, and disconnected EPM tools that make it difficult to apply consistent logic across departments.

Banking on Gen AI: Driving Profitable and Scalable Client Engagement with Gen AI Copilots

Wealth management has always been about personal touch. Relationship managers provide a white-glove service to elite clientele - guiding investments, financial plans, and more. However, they’re under growing pressure to serve more clients and drive bank revenue, without diluting that personal connection and service quality. This dual mandate is placing relationship managers in a catch-22 situation. If they serve more clients their ability to provide personalized services diminishes, and vice versa.

The 10 Best Data Synchronization Tools in 2026

When was the last time your analytics team waited hours—or even days—for updated data? Or your development environment fell so far behind production that testing became guesswork rather than validation? For IT leaders managing distributed systems, the challenge isn’t moving data once. It’s keeping every environment that depends on that data perfectly aligned as schemas evolve, records multiply, and business requirements shift. Manual scripts break. Full refreshes waste resources.