Get started with Azure AI Content Understanding
Microsoft’s new generative AI-powered, multimodal, content analysis service is a next-generation version of its existing…
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Databricks’ new updates aim to ease gen AI app and agent development
Analysts view the updates as Databricks’ strategy to get closer to enterprise users and increase…
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3 key features in Kong AI Gateway 3.10
Automated RAG, PII sanitization, and LLM orchestration in Kong AI Gateway 3.10 help teams simplify,…
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5 ways data scientists can prepare now for genAI transformation
GenAI is undoubtedly changing how data scientists and analysts work, including tools, processes, and deliverables.…
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Agentic AI won’t make public cloud providers rich
The hyperscalers are reeling from the slower-than-expected growth of generative AI on their platforms, and…
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How to start developing a balanced AI governance strategy
A strong AI governance defense does more than reduce risks: it drives the offense, and…
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Better together? Why AWS is unifying data analytics and AI services in SageMaker
Demand for end-to-end platforms, the convergence of data and AI, and the evolution of roles…
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5 ways data teams must lead in AI-driven organizations
The future of work requires data teams to lead with data governance, ops, and products…
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JFrog unveils JFrog ML for MLOps
JFrog ML brings devops best practices to building, deploying, managing, and monitoring AI/ML workflows, JFrog…
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Are we creating too many AI models?
When training an LLM has enormous costs and environmental impact, it’s worth asking what we…
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