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Tag: unstructured data

  • The Register: Microsoft teases sales agent automation for M365 and Dynamics 365

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/03/05/microsoft_teases_sales_agent_automation/ Source: The Register Title: Microsoft teases sales agent automation for M365 and Dynamics 365 Feedly Summary: Redmond says you could ask one for a ‘list of deals … at risk of falling through’ Microsoft today announced two software agents that automate certain business functions for Dynamics 365, its enterprise resource planning and…

  • Cloud Blog: Use Gemini 2.0 to speed up document extraction and lower costs

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/use-gemini-2-0-to-speed-up-data-processing/ Source: Cloud Blog Title: Use Gemini 2.0 to speed up document extraction and lower costs Feedly Summary: A few weeks ago, Google DeepMind released Gemini 2.0 for everyone, including Gemini 2.0 Flash, Gemini 2.0 Flash-Lite, and Gemini 2.0 Pro (Experimental). All models support up to at least 1 million input tokens, which…

  • Simon Willison’s Weblog: Structured data extraction from unstructured content using LLM schemas

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Feb/28/llm-schemas/#atom-everything Source: Simon Willison’s Weblog Title: Structured data extraction from unstructured content using LLM schemas Feedly Summary: LLM 0.23 is out today, and the signature feature is support for schemas – a new way of providing structured output from a model that matches a specification provided by the user. I’ve also upgraded both…

  • Cloud Blog: Enhancing AlloyDB vector search with inline filtering and enterprise observability

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/databases/enhancing-alloydb-vector-search-with-inline-filtering-and-enterprise-observability/ Source: Cloud Blog Title: Enhancing AlloyDB vector search with inline filtering and enterprise observability Feedly Summary: Many specialized vector databases today require you to create complex pipelines and applications in order to get the data you need. AlloyDB for PostgreSQL offers Google Research’s, state-of-the-art vector search index, ScaNN, enabling you to optimize…

  • Cloud Blog: How to use gen AI for better data schema handling, data quality, and data generation

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/data-analytics/how-gemini-in-bigquery-helps-with-data-engineering-tasks/ Source: Cloud Blog Title: How to use gen AI for better data schema handling, data quality, and data generation Feedly Summary: In the realm of data engineering, generative AI models are quietly revolutionizing how we handle, process, and ultimately utilize data. For example, large language models (LLMs) can help with data schema…

  • Cloud Blog: Tchibo brews up 10x faster customer insights with AlloyDB for PostgreSQL

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/databases/tchibo-brews-up-10x-faster-customer-insights-with-alloydb-for-postgresql/ Source: Cloud Blog Title: Tchibo brews up 10x faster customer insights with AlloyDB for PostgreSQL Feedly Summary: Tchibo, a well-known coffee retailer and lifestyle brand based in Germany, needed a faster, smarter way to manage and interpret vast amounts of customer feedback across its diverse product offerings and sales channels. To meet…

  • Cloud Blog: Get started with Google Cloud’s built-in tokenization for sensitive data protection

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/identity-security/get-started-with-built-in-tokenization-for-sensitive-data-protection/ Source: Cloud Blog Title: Get started with Google Cloud’s built-in tokenization for sensitive data protection Feedly Summary: In many industries including finance and healthcare, sensitive data such as payment card numbers and government identification numbers need to be secured before they can be used and shared. A common approach is applying tokenization…

  • CSA: Next-Gen AI Cybersecurity: Reshape Digital Defense

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    Kurt Seifried
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    Source URL: https://cloudsecurityalliance.org/blog/2025/01/10/next-gen-cybersecurity-with-ai-reshaping-digital-defense Source: CSA Title: Next-Gen AI Cybersecurity: Reshape Digital Defense Feedly Summary: AI Summary and Description: Yes **Short Summary with Insight:** The text discusses the transformative role of Artificial Intelligence (AI) in enhancing cybersecurity measures against evolving threats. It emphasizes predictive analytics, automated responses, and adaptive security systems as vital advancements for creating…

  • Hacker News: Harper (YC W25) Is Hiring Founding Engineer #2

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    system automation
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    Source URL: https://www.ycombinator.com/companies/harper/jobs/y8KjuRZ-founding-ai-engineer Source: Hacker News Title: Harper (YC W25) Is Hiring Founding Engineer #2 Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses a revolutionary insurance brokerage project driven by AI, emphasizing the need for engineers skilled in developing complex AI systems. The focus is on automating intricate workflows and decision-making…

  • Hacker News: Ocular AI (YC W24) Is Hiring

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    system automation
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    Source URL: https://www.ycombinator.com/companies/ocular-ai/jobs/BFBHWQd-member-of-technical-staff-founding-backend-engineer Source: Hacker News Title: Ocular AI (YC W24) Is Hiring Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides insights into Ocular AI, a data annotation engine designed for generative AI, computer vision, and enterprise AI models. This is particularly relevant for professionals in AI and cloud computing due…