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Data and AI developments worth paying attention to.
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Increase Trust in AI Answers · dbt’s Commitment to Open Data Infrastructure
Confident AI answers often miss the context, definitions, or controls that make it trustworthy. Before acting on an AI answer, ask these three questions.
Governing AI Spend · Unity AI Gateway · Omnigent
Databricks used its own internal AI use cases to share lessons learned on controlling AI spend. These lessons are practical, regardless of your token spend, model, or AI stack
AI Governance · Databricks Best Practices · Semantic Layers
Why semantic context is becoming critical AI infrastructure, which architecture decisions affect ROI, and the latest developments from Databricks.
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When I talk about Analytics8, I always say “Partner”, because at the end of the day, they’re an extension of my team.
Steven Khraiss, VP of Data Strategy & Analytics, Holmes Corporation
What We Do
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Strategy & Advisory
We turn data and AI ambition into executable strategy — aligning your priorities, resources, and investment to accelerate business value and ROI.
Modernization
We’ll modernize your data foundation to support solutions that are future ready, scalable, and responsive — built to evolve as your needs (and data) grows.
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Data Monetization
We help you turn data into a growth engine — building the data monetization strategy and launching data products that create new revenue.