Systems | Development | Analytics | API | Testing

Improve Compliance, Visibility, and Control in Your Financial Close

Four specialists. 75+ years of combined close experience. One roundtable. We asked them to dissect the month-end close: where governance quietly erodes, why a one-day delay can cascade into seven, what happens when your best reconciliation person is unavailable, and where automation is genuinely delivering results today. 45 minutes of practical close strategy from people who know exactly where the process breaks, and how finance teams can fix it.

Agentic Data Engineering: Self-Healing Pipelines for Real-Time Insight

Brittle pipelines and SLA firefighting hold data teams back. Agentic data engineering introduces autonomous AI agents that detect failures, fix code, and re-run pipelines—with humans in the loop guide critical decisions. This video explains how Cloudera Data Engineering and Cloudera AI enable self-healing pipelines.

Snowflake CoCo: Welcome to the Agentic Enterprise

When business questions move faster than answers, teams need more than dashboards. They need AI agents that can break silos, add context, and turn trusted enterprise data into action. Meet Snowflake CoCo — built to help data teams and business users move from reactive reporting to strategic action. In the Agentic Enterprise, everyone can become a strategic force, shaping what the business does next.

Explainable AI in Customer-Facing Analytics: How Yellowfin Turns Predictions into Action

Predictions alone are no longer enough. A churn score is not useful if no one trusts it, and a risk score does not help if the next step is unclear. The same goes for a recommendation engine. People need to know why a model made a call, and what action comes next. That is the core shift in explainable AI for analytics. The work has moved from “what happened?” to “why did it happen, and what should I do now?” Customer-facing analytics depends on that shift.

Ready Set Code! The Telemetry Tsunami

Welcome to Ready Set Code! The game show where data engineers face off to prove who can build faster. In today's episode, "The Telemetry Tsunami," three contestants face a massive flood of nested JSON telemetry data. Their mission: flatten the arrays, join it to customer tables, and deploy a secure automated pipeline. Who will separate themselves as a data driver vs. a data downer? Find out now! Type Less. Build More.

Ep 78 | Mastering Enterprise AI: Why Some Projects Succeed While Others Fail

AI may be the most capable intern your organization has ever hired. However, interns still need guidance and clear direction. Enterprise AI is proving no different. In this episode of The AI Forecast, Paul Muller sits down with Michael Gray, CTO of Thrive, to explore the patterns and anti-patterns emerging from real-world enterprise AI deployments. Drawing on his experience helping organizations implement AI at scale, Michael offers a practical framework for evaluating AI maturity, helping leaders understand where adoption breaks down and what it takes to build momentum across the organization.

Reporting Intelligence UI Flyover

See how Reporting Intelligence from insightsoftware transforms the way finance teams build, manage, and distribute ERP-connected reports, without IT involvement, data engineering, or infrastructure overhead. This walkthrough covers the full product experience, from self-serve report building in Excel to cloud-based scheduling and distribution, embedded Lineos AI assistants, and the autonomous Intelligence Layer that monitors your KPIs and surfaces insights around the clock.

The internal war over who owns AI.

There is a massive boardroom fight happening right now over who gets to control AI. Should it be IT? A centralized lab? The executives? Boris Rabkin from Ligentia drops a truth bomb: AI belongs wherever value is actually created. If your AI strategy is locked inside an isolated corporate lab instead of in the hands of your product, engineering, and customer teams, it’s going to fail. Full episode out now!