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thoughtspot

How Endpoint Clinical Closed the Embedded Analytics Revenue Gap

Jul 20, 2026 By Ivan Seow In ThoughtSpot
I'll be honest: one number from the latest embedded analytics research stopped the entire planning conversation for this webinar. 57% of teams with embedded analytics report no measurable business impact, and that means not low impact or underwhelming impact, but no measurable impact at all.
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How Can You Trust Your AI Answers | Centerprise AI

Jul 20, 2026 By Astera Software In Astera
Most AI can answer what the data says. But is that answer governed, accurate, and traceable enough to act on? Centerprise AI gives enterprises the data foundation they need to scale AI with confidence. One platform that brings together every data source, models it into a governed warehouse, and encodes your business logic as Skills.
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How Cloudera Powers Agentic Workflows? #DataInMotion #Cloudera

Jul 17, 2026 By Cloudera, Inc. In Cloudera
Ready to eliminate data delays and fuel your AI models with trusted, real-time insights? In this video, we break down how Cloudera Data in Motion allows organizations to unlock the full potential of their data fabric. Whether your corporate datasets are scattered across diverse storage systems, multiple cloud vendors, or on-premises data centers, Cloudera provides the scalable, engine-agnostic data services required to stream and process information instantly—without needing to redesign or refactor your existing pipelines.
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hitachi vantara

The Reason Behind Stalled AI Projects

Jul 17, 2026 By Andy Gremett In Hitachi Vantara
As enterprises race to adopt AI, weak data foundations are preventing more than half (58%) of organizations in the United States and Canada from realizing value and contributing to an estimated $108 billion in wasted global AI investment each year, according to a report from Hitachi Vantara. The reason is rarely bad models or lack of ambition.
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integrate

How to Replace Custom Python or PowerShell Scripts for Client Data Ingestion

Jul 16, 2026 By Donal Tobin In Integrate
The fastest way to replace custom Python or PowerShell scripts for client data ingestion is to move each script's logic into a reusable, config-driven pipeline that stores connection details, field mappings, and schedules as metadata instead of code. This guide is for data integration managers and engineers who currently maintain a script per client or per source system. After following it, you'll have a repeatable pattern for onboarding new clients without writing a new script for each one.
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