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  • Generative AI’s Accuracy Depends on an Enterprise Storage-driven RAG Architecture

    [SPONSORED POST] In this sponsored article, Eric Herzog, CMO of Infinidat, suggests that as part of a transformative effort to bring one’s company into the AI-enhanced future, it’s an opportunity to leverage intelligent automation with RAG to create better, more accurate and timely responses. Further, to optimize your storage systems for this enhancement, look for industry-leading performance, 100% availability and cyber storage resilience. They make you RAG-ready. 

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Powering Innovation: IDC Spotlight: Private AI Infrastructure in the Enterprise

AI is rapidly transforming industries, becoming a critical driver of innovation. As AI’s influence expands, organizations are increasingly turning to private AI solutions to maintain control over their data, ensure regulatory compliance, and customize AI models to meet specific needs. According to IDC’s Spotlight report Powering Innovation: Private AI Infrastructure in the Enterprise, experienced organizations […]

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From complexity to clarity: Harnessing the power of AI/ML and risk-informed strategies to streamline clinical data management

In today’s fast-paced world, driven by demands for speed and efficiency, the field of clinical development has undergone a remarkable transformation. The way trials are being conducted has changed significantly with decentralized clinical trials (DCT) becoming mainstream and the collection of clinical data from wearables and other remote-monitoring devices becoming common practice. While these advances […]

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Find out what drives today’s most successful platform businesses

In ‘The enterprise guide to platform thinking: What it can do for your business’, we explore how to achieve platform success and realize the full spectrum of business, operational, and customer value platforms can deliver. Inside, we dive into: — How platform thinking has evolved over the last five years, and the role that cultural, […]

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Editor’s Choice

  • The insideAI News IMPACT 50 List for Q4 2024

    The team here at insideAI News is deeply entrenched in keeping the pulse of the big data ecosystem of companies from around the globe. We’re in close contact with the movers and shakers making waves in the technology areas of big data, data science, machine learning, AI and deep learning. Our in-box is filled each day with new announcements, commentaries, and insights about what’s driving the success of our industry so we’re in a unique position to publish our quarterly IMPACT 50 List.

  • Announcing insideAI NEWS – Illuminating AI’s Frontiers: Your Go-To News Destination

    insideBIGDATA, the leading source for news and insights about artificial intelligence, is proud to announce the relaunch and rebranding of the publication as insideAI News. The revamped platform will offer comprehensive coverage of AI  technology and implementation strategies across multiple industries, including healthcare, security, financial services, automation, and agriculture.

  • Big Data Industry Predictions for 2024

    Welcome to insideAI News’s annual technology predictions round-up! The big data industry has significant inertia moving into 2024. In order to give our valued readers a pulse on important new trends leading into next year, we here at insideAI News heard from all our friends across the vendor ecosystem to get their insights, reflections and predictions for what may be coming. We were very encouraged to hear such exciting perspectives.

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Sponsored Guest Articles

  • Webinar: Getting Started with Llama 3 on AMD Radeon and Instinct GPUs

    [Sponsored Post] This webinar: “Getting Started with Llama 3 on AMD Radeon and Instinct GPUs” provides a guide to installing Hugging Face transformers, Meta’s Llama 3 weights, and the necessary dependencies for running Llama locally on AMD systems with ROCm™ 6.0.

  • Optimizing Performance and Cost Savings for Elastic on Pure Storage

    [SPONSORED POST] Organizations can now confidently embrace Elastic, enhance their hot tier storage, and seamlessly manage historical data with cost-efficient capacity-optimized storage. Pure Storage not only meets the demands of the modern data landscape but also empowers organizations to simplify their Elastic architecture, reflecting the industry trend towards a more streamlined and efficient approach.

  • Crafting Precision Content Using Large Language Models 

    [SPONSORED POST] Our friends over at DAC recently explored the potential of LLMs to interpret or generate text considering numerous parameters with extraordinary precision. They have demonstrated their ability to evaluate unstructured text blocks and grade them along various scales to great success. Additionally, they have been able to generate specific, tailored content using a complex series of instructions that can be tuned with precision to the same set of scales. 

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