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The High Cost of Dirty Data in AI Development

Unite.AI

It’s no secret that there is a modern-day gold rush going on in AI development. According to the 2024 Work Trend Index by Microsoft and Linkedin, over 40% of business leaders anticipate completely redesigning their business processes from the ground up using artificial intelligence (AI) within the next few years.

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A new decentralised AI ecosystem and its implications

AI News

It is estimated that approximately 83% of companies now have AI exploration as an agenda item for continued technical growth, especially given its capacity to drive innovation, enhance efficiency, and create sustainable competitive advantage. Chromia has already formed partnerships with Elfa AI, Chasm Network, and Stork.

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Microsoft Fabric gets enhanced AI development and data integration features - SiliconANGLE

Flipboard

Microsoft Fabric is getting new tools and capabilities to streamline artificial intelligence application development, enhance data integration and improve security in a series of announcements at Micr

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Multimodal Data Integration: How Artificial Intelligence Is Revolutionizing Cancer Care

Towards AI

Last Updated on November 5, 2023 by Editorial Team Author(s): Max Charney Originally published on Towards AI. the authors of the multimodal data integration in oncology paper. I recently read this article (link) about multimodal data integration for oncology with artificial intelligence (AI).

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Anthropic and Meta in Defense: The New Frontier of Military AI Applications

Unite.AI

Palantirs expertise in data integration and AWS's secure cloud infrastructure enables Anthropic to deploy scalable AI solutions tailored to military needs. A defining feature of Anthropics approach is its commitment to ethical AI development.

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The importance of data ingestion and integration for enterprise AI

IBM Journey to AI blog

Companies still often accept the risk of using internal data when exploring large language models (LLMs) because this contextual data is what enables LLMs to change from general-purpose to domain-specific knowledge. In the generative AI or traditional AI development cycle, data ingestion serves as the entry point.

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Beyond Open Source AI: How Bagel’s Cryptographic Architecture, Bakery Platform, and ZKLoRA Drive Sustainable AI Monetization

Marktechpost

Bagel is a novel AI model architecture that transforms open-source AI development by enabling permissionless contributions and ensuring revenue attribution for contributors. Its design integrates advanced cryptography with machine learning techniques to create a trustless, secure, collaborative ecosystem.