Remove Automation Remove Data Discovery Remove LLM
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Why data governance is essential for enterprise AI

IBM Journey to AI blog

This data governance requires us to understand the origin, sensitivity, and lifecycle of all the data that we use. Risks of training LLM models on sensitive data Large language models can be trained on proprietary data to fulfill specific enterprise use cases.

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Unleashing the power of generative AI: Verisk’s Discovery Navigator revolutionizes medical record review

AWS Machine Learning Blog

Discovery Navigator recently released automated generative AI record summarization capabilities. By automating the extraction and organization of key treatment data and medical information into a concise summary, claims handlers can now identify important bodily injury claims data faster than before.

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12 AI Insight Talks to Help Improve Your Company’s AI Game at ODSC West

ODSC - Open Data Science

Tuesday, October 29th Efficient AI Scaling: How VESSL AI Enables 100+ LLM Deployments for $10 and Saves $1M Annually Jaeman An | Electrical and Electronics Engineering | Vessl.ai Delphina Demo: AI-powered Data Scientist Jeremy Hermann | Co-founder at Delphina | Delphina.Ai Learn more about the AI Insight Talks below.

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Databricks Acquires MosaicML and Other Recent AI Acquisitions

ODSC - Open Data Science

MosaicML is one of the pioneers of the private LLM market, making it possible for companies to harness the power of specialized AI to suit specific needs. According to reports from the Wall Street Journal, the goal is to provide IBM with “greater automation capabilities.” Customer Support Startup Cohere.io

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Implementing Knowledge Bases for Amazon Bedrock in support of GDPR (right to be forgotten) requests

AWS Machine Learning Blog

Knowledge Bases for Amazon Bedrock is a fully managed RAG capability that allows you to customize FM responses with contextual and relevant company data. You can also use custom data identifiers to create data identifiers tailored to your specific use case. Complete implementation details are beyond the scope of this post.

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Rehan Jalil, CEO of Securiti – Interview Series

Unite.AI

Securiti further enriches this information with deep contextual insights building a real-time knowledge graph, including whom the data belongs to, access entitlements, what regulations apply, where the data is located and more. Our Data Command Center provides unparalleled visibility and control enabling the safe use of data and AI.

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What Does GPT-3 Mean For the Future of MLOps? With David Hershey

The MLOps Blog

One of the hardest things about MLOps today is that a lot of data scientists aren’t native software engineers, but it may be possible to lower the bar to software engineering. I’ve seen tools that help you write and author pull requests more efficiently, and that help automate building documentation. Stephen : Awesome.