Systems | Development | Analytics | API | Testing

How Stripe, Uber Eats & Intercom Use In-App Analytics to Hook Users

Embedded analytics are vital for user engagement. Companies like Stripe, Uber Eats, and Intercom use them to provide real-time, in-app insights. Instead of building this complex functionality from scratch, a solution like Yellowfin allows you to quickly embed powerful, white-labeled analytics, providing a great user experience with less development effort. Don’t just take our word for it - try Yellowfin for yourself by requesting a free trial.

Unlocking the Autonomous Enterprise, with ThoughtSpot CEO

The next generation of analytics is here. In this episode of The Data Chief, ThoughtSpot CEO Ketan Karkhanis explains why AI is the new BI, and the future of analytics is autonomous. Karkhanis shares his vision for the autonomous enterprise, where AI agents act on insights and automate workflows. He also explains why a culture of trust and experimentation is crucial for unlocking AI's full potential. Don't miss this discussion on how to fundamentally rethink how organizations interact with data to drive better business outcomes and build an autonomous enterprise.

Ep 39 | Enabling the Future of AI with Donna Beasley

AI can’t transform businesses if organizations aren’t prepared to embrace it. Donna Beasley, Chief AI Enablement Officer, joins The AI Forecast to explore thoughtful AI deployment in an organization. She and host Paul Muller dive into the challenges and opportunities of AI adoption, from ensuring data quality to driving organizational change management. They discuss the importance of collaboration across departments, strategies for overcoming resistance, and the critical role of training and meeting individuals where they are in their openness with AI.

Leading with Data: AI-Driven Strategies for Tomorrow

In this interview with Nick Johnson-Hill, VP Data Group for Crum and Foster, we dive into what it takes to lead a modern team of data professionals and leverage modern data strategies for creating maximum impact. Nick also discusses the role and effectiveness of leveraging Generative AI for augmenting data teams.

From Data to Decisions: How AI-Powered Analytics Speeds Up Business Impact

Most organizations are swimming in data, but still struggle to turn it into clear decisions. AI-powered analytics bridges that gap by automating routine analysis, surfacing hidden insights, and making data accessible to everyone through natural language. Instead of just looking at what happened, teams can understand why it happened and what to do next. The result is faster, smarter decision-making and a stronger competitive edge. Provide your users with the latest AI-powered analytics features.

End Data Disparity | Building Partnerships To Drive Change

In this premiere episode from the new "End Data Disparity" video series, host Ryan Green chats with Benoit Dageville, Snowflake Co-founder and President of Product, about the challenge of addressing the problem of global data inequalities. The discussion kicks off with information about the cross-sector advisory board Snowflake is establishing to drive the development of collaborative solutions. They also discuss such topics as the role AI will play in improving ESG data quality, which promises to positively impact ESG monitoring and reporting.

Spreadsheet Server Demo: Excel-Native Financial Reporting With Live ERP Data

See how Spreadsheet Server transforms financial reporting by connecting live ERP data directly to Excel. Designed specifically for finance professionals, it eliminates manual copy-paste cycles while providing AI-powered insights, operational reporting beyond the General Ledger, and automated report distribution. Create sophisticated, refreshable financial reports using the Excel skills you already have.

A Seismic Shift: The Largest Fintech Migration in History

Learn how PayPal optimized customer experience and exceeded SLAs at scale by modernizing its data infrastructure and analytics. In this session recorded at Summit 2025, you'll discover how the company consolidated disparate data sources into Snowflake, leveraging Iceberg for future platform flexibility, and centralized back-office analytics and ETL processes for efficiency. See how it delivers near real-time insights and reconciliation to clients, architects applications for global scalability, and explores future developments, such as ML for business outcome prediction and generative AI for dynamic network adaptation.