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Blown Away

O'Reilly on Data

So here’s a quick list of things that have amazed me recently. Are we virtual yet? But what blew me away was the podcast it generated: an eight-minute discussion between two synthetic people who sounded interested and engaged. Anthropic provides a demo as a Docker container, so you can run it safely. What’s really new?

Testing 267
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Are enterprises ready to adopt AI at scale?

CIO Business Intelligence

Whether it’s a financial services firm looking to build a personalized virtual assistant or an insurance company in need of ML models capable of identifying potential fraud, artificial intelligence (AI) is primed to transform nearly every industry. But adoption isn’t always straightforward.

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5 predictions for emerging ’25 technology trends

CIO Business Intelligence

Allow me, then, to make five predictions on how emerging technology, including AI, and data and analytics advancements will help businesses meet their top challenges in 2025 particularly how their technology investments will drive future growth. Prediction #5: There will be a new wave of Data and Analytics DIY.

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Generative AI for Farming

O'Reilly on Data

We’re planning a live virtual event later this year, and we want to hear from you. Different microclimates, pests, crops: what works for your neighbor might not work for you. Farmer.Chat uses all these sources to answer questions—but in doing so, it has to respect the rights of the farmers and the database owners.

Testing 318
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SAP Datasphere Powers Business at the Speed of Data

Rocket-Powered Data Science

We live in a data-rich, insights-rich, and content-rich world. Data collections are the ones and zeroes that encode the actionable insights (patterns, trends, relationships) that we seek to extract from our data through machine learning and data science. Plus, AI can also help find key insights encoded in data.

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Where CIOs should place their 2025 AI bets

CIO Business Intelligence

We may look back at 2024 as the year when LLMs became mainstream, every enterprise SaaS added copilot or virtual assistant capabilities, and many organizations got their first taste of agentic AI. Even simple use cases had exceptions requiring business process outsourcing (BPO) or internal data processing teams to manage.

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DataOps Enables Your Data Fabric

DataKitchen

Industry analysts who follow the data and analytics industry tell DataKitchen that they are receiving inquiries about “data fabrics” from enterprise clients on a near-daily basis. Gartner included data fabrics in their top ten trends for data and analytics in 2019. What is a Data Fabric?