insideBIGDATA

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Why Data Quality is the Secret Ingredient to AI Success

insideBIGDATA

In this contributed article, engineering leader Uma Uppin emphasizes that high-quality data is fundamental to effective AI systems, as poor data quality leads to unreliable and potentially costly model outcomes. Key data attributes like accuracy, completeness, consistency, timeliness, and relevance play crucial roles in shaping AI performance and minimizing ethical risks.

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CTGT’s AI Platform Built to Eliminate Bias, Hallucinations in AI Models

insideBIGDATA

San Francisco – June 27, 2025 – CTGT, which enables enterprises to deploy AI for high-risk use cases, announced today an upgrade to its platform designed to remove bias, hallucinations and other unwanted model features from DeepSeek and other open source AI models.

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Crusoe Closes $600M in Series D Round at $2.8 Billion Valuation to Power AI

insideBIGDATA

Crusoe, the vertically integrated AI infrastructure provider, announced it has closed a $600 million Series D funding round. The investment was led by Founders Fund, with participation from new and existing investors, including Fidelity, Long Journey Ventures, Mubadala, NVIDIA, Ribbit Capital, and Valor Equity Partners.

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Multiverse Computing Raises $215M for LLM Compression

insideBIGDATA

San Sebastian, Spain – June 12, 2025: Multiverse Computing has developed CompactifAI, a compression technology capable of reducing the size of LLMs (Large Language Models) by up to 95 percent while maintaining model performance, according to the company. The company today also announced a €189 million ($215 million) investment round.

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Multiverse Computing Raises $215M for LLM Compression

insideBIGDATA

Multiverse Computing has developed CompactifAI, a compression technology capable of reducing the size of LLMs (Large Language Models) by up to 95 percent while maintaining model performance, according to the company.

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Why Mathematics is Essential for Data Science and Machine Learning

insideBIGDATA

In this feature article, Daniel D. Gutierrez, insideAInews Editor-in-Chief & Resident Data Scientist, explores why mathematics is so integral to data science and machine learning, with a special focus on the areas most crucial for these disciplines, including the foundation needed to understand generative AI.

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National Lab’s Machine Learning Project to Advance Seismic Monitoring Across Energy Industries

insideBIGDATA

A new initiative designed to revolutionize seismic monitoring and forecasting using real time, advanced machine learning (ML) technologies is coming to the West Texas/New Mexico area. The U.S. Department of Energy (DOE) Technology Commercialization Fund awarded $1.8 million in funding to Lawrence Livermore National Laboratory (LLNL).