unstructured data – Experimental News Clipping Site

Enterprise AI Trends: Using AI to Extract B2B Leads from Unstructured Data

Aug 30, 2025

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Source URL: https://nextword.substack.com/p/using-ai-to-extract-b2b-leads-from Source: Enterprise AI Trends Title: Using AI to Extract B2B Leads from Unstructured Data Feedly Summary: With AI, everything can be turned into a data pipeline AI Summary and Description: Yes Summary: The text discusses the application of AI and unstructured data in go-to-market (GTM) strategies, particularly focusing on automating lead generation…

Cloud Blog: From query to cart: Inside Target’s search bar overhaul with AlloyDB AI

Aug 28, 2025

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Kurt Seifried

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Source URL: https://cloud.google.com/blog/topics/retail/from-query-to-cart-inside-targets-search-bar-overhaul-with-alloydb-ai/ Source: Cloud Blog Title: From query to cart: Inside Target’s search bar overhaul with AlloyDB AI Feedly Summary: Editor’s note: Target set out to modernize its digital search experience to better match guest expectations and support more intuitive discovery across millions of products. To meet that challenge, they rebuilt their platform with…

Cloud Blog: Google for Startups Accelerator: AI First – Meet the 2025 Brazilian cohort

Aug 27, 2025

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Kurt Seifried

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Source URL: https://cloud.google.com/blog/topics/startups/meet-the-brazilian-cohort-of-google-for-startups-accelerator/ Source: Cloud Blog Title: Google for Startups Accelerator: AI First – Meet the 2025 Brazilian cohort Feedly Summary: In a landscape where AI is an engine of growth for the Latin American economy, Brazil stands out as a leader in innovation. Google is committed to supporting and shaping the future of AI…

Tomasz Tunguz: Netflix’s New AI Role

Aug 27, 2025

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Kurt Seifried

in Uncategorized

Source URL: https://www.tomtunguz.com/netflix-new-ai-role/ Source: Tomasz Tunguz Title: Netflix’s New AI Role Feedly Summary: Netflix invented a new role for their data team : the Media ML Data Engineer. Unstructured data is fundamentally different. It’s multimodal & contains derived fields like embeddings, captions, & transcriptions. It’s also at least 80% of the world’s data & essential…

Cloud Blog: Redefining enterprise data with agents and AI-native foundations

Aug 6, 2025

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Kurt Seifried

in Uncategorized

Source URL: https://cloud.google.com/blog/products/data-analytics/new-agents-and-ai-foundations-for-data-teams/ Source: Cloud Blog Title: Redefining enterprise data with agents and AI-native foundations Feedly Summary: The world is not just changing; it’s being re-engineered in real-time by data and AI. The way we interact with data is undergoing a fundamental transformation, moving beyond human-led analysis to a collaborative partnership with intelligent agents. This…

Cloud Blog: Ride-share-like planning with Agentic AI: Pluto7 + Google Agentspace transform supply Chains

Jul 30, 2025

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Kurt Seifried

in Uncategorized

Source URL: https://cloud.google.com/blog/topics/partners/pluto7-pi-agent-ai-meets-agentspace/ Source: Cloud Blog Title: Ride-share-like planning with Agentic AI: Pluto7 + Google Agentspace transform supply Chains Feedly Summary: Pluto7, an early Google partner, has integrated Agentspace into its Planning in a Box platform Pi Agent to address inventory and demand planning challenges. Agentspace provides an Agent Development Kit (ADK) for building specialized…

AWS News Blog: Amazon S3 Metadata now supports metadata for all your S3 objects

Jul 16, 2025

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Kurt Seifried

in Uncategorized

Source URL: https://aws.amazon.com/blogs/aws/amazon-s3-metadata-now-supports-metadata-for-all-your-s3-objects/ Source: AWS News Blog Title: Amazon S3 Metadata now supports metadata for all your S3 objects Feedly Summary: Amazon S3 Metadata now provides comprehensive visibility into all objects in S3 buckets through live inventory and journal tables, enabling SQL-based analysis of both existing and new objects with automatic updates within an hour…

AWS News Blog: Streamline the path from data to insights with new Amazon SageMaker Catalog capabilities

Jul 16, 2025

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Kurt Seifried

in Uncategorized

Source URL: https://aws.amazon.com/blogs/aws/streamline-the-path-from-data-to-insights-with-new-amazon-sagemaker-capabilities/ Source: AWS News Blog Title: Streamline the path from data to insights with new Amazon SageMaker Catalog capabilities Feedly Summary: Amazon SageMaker has introduced three new capabilities—Amazon QuickSight integration for dashboard creation, governance, and sharing, Amazon S3 Unstructured Data Integration for cataloging documents and media files, and automatic data onboarding from Lakehouse—that…

AWS News Blog: Introducing Amazon S3 Vectors: First cloud storage with native vector support at scale (preview)

Jul 16, 2025

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Kurt Seifried

in Uncategorized

Source URL: https://aws.amazon.com/blogs/aws/introducing-amazon-s3-vectors-first-cloud-storage-with-native-vector-support-at-scale/ Source: AWS News Blog Title: Introducing Amazon S3 Vectors: First cloud storage with native vector support at scale (preview) Feedly Summary: Amazon S3 Vectors is a new cloud object store that provides native support for storing and querying vectors at massive scale, offering up to 90% cost reduction compared to conventional approaches…

Cloud Blog: How to enable real time semantic search and RAG applications with Dataflow ML

Jul 15, 2025

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Kurt Seifried

in Uncategorized

Source URL: https://cloud.google.com/blog/topics/developers-practitioners/create-and-retrieve-embeddings-with-a-few-lines-of-dataflow-ml-code/ Source: Cloud Blog Title: How to enable real time semantic search and RAG applications with Dataflow ML Feedly Summary: Embeddings are a cornerstone of modern semantic search and Retrieval Augmented Generation (RAG) applications. In short, they enable applications to understand and interact with information on a deeper, conceptual level. In this post,…

Tag: unstructured data