Systems | Development | Analytics | API | Testing

Spotter Enhancements

Spotter just got smarter and more in your control. You can now customize your agent's name, persona, output formatting, and guardrails to dictate exactly how it should (and shouldn't) handle data. Set it once, in plain language, and every user across the organization gets a configured, governed Spotter. Other new features include: Ad-hoc file analysis: Upload any flat file directly into Spotter and start asking questions instantly, solo or blended with your governed data.

How to Measure Embedded Analytics ROI for Busy End Users

Most analytics programs fail the ROI test for one simple reason: they measure dashboard output, not workflow impact. A team can ship reports, charts, and alerts, yet still miss the real question: does the analytics change what busy people do next? That is the core issue for embedded analytics ROI. How do we measure whether embedded analytics actually delivers business value for busy end users, frontline teams, and executives?

Ep 79 | Why Some AI Products Strike a Chord (and Others Don't)

You recognize the tune, but something feels off. That's how Marlon Davis describes many of today's AI initiatives: AI karaoke. Organizations are rushing to add AI to products, but too often they're layering technology onto solutions without fully understanding the customer problems they're trying to solve. In this episode of The AI Forecast, Paul Muller sits down with fractional Chief Product Officer at Devlnio, Marlon Davis, to explore how organizations can move beyond superficial AI efforts and build products that deliver meaningful customer value.

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.

Stop extracting data: Run serverless Python natively in BigQuery!

Python UDFs now Generally Available (GA), you can run custom Python code natively, securely, and serverlessly inside your SQL statements. Write standard SQL, import libraries like BeautifulSoup, or run machine learning tokenizers with zero infrastructure management. Speaker: Products Mentioned: BigQuery, Python User Defined Function.

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.