{"id":786211,"date":"2023-09-26T14:00:08","date_gmt":"2023-09-26T18:00:08","guid":{"rendered":"https:\/\/www.marketnewsdesk.com\/index.php\/confluent-unveils-data-streaming-for-ai-to-simplify-and-accelerate-the-development-of-real-time-ai-applications\/"},"modified":"2023-09-26T14:00:08","modified_gmt":"2023-09-26T18:00:08","slug":"confluent-unveils-data-streaming-for-ai-to-simplify-and-accelerate-the-development-of-real-time-ai-applications","status":"publish","type":"post","link":"https:\/\/www.marketnewsdesk.com\/index.php\/confluent-unveils-data-streaming-for-ai-to-simplify-and-accelerate-the-development-of-real-time-ai-applications\/","title":{"rendered":"Confluent Unveils Data Streaming for AI to Simplify and Accelerate the Development of Real-Time AI Applications"},"content":{"rendered":"

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Confluent Unveils Data Streaming for AI to Simplify and Accelerate the Development of Real-Time AI Applications<\/b><\/p>\n

New initiative will expand Confluent\u2019s partnerships and product capabilities to help companies build real-time AI innovations with data streams<\/i><\/p>\n

SAN JOSE, Calif.–(BUSINESS WIRE<\/a>)–Confluent, Inc<\/a>. (NASDAQ:CFLT), the data streaming pioneer, today announced Data Streaming for AI<\/a>, an initiative to accelerate organizations\u2019 development of real-time AI applications. Achieving real-time AI demands more than fast algorithms; it requires trustworthy, relevant data served in the moment for smarter, faster insights. To help companies unlock the full potential of AI with the freshest contextual data from across their business, Confluent is expanding partnerships with leading companies in the AI and vector database space, including MongoDB, Pinecone, Rockset, Weaviate, and Zilliz. It is also demonstrating product innovations that incorporate the latest advances in AI into its platform, with capabilities like a generative AI-powered assistant that helps generate code and answer questions about the data streaming environment.<\/p>\n

\n\u201cData streaming is foundational technology for the future of AI,\u201d said Jay Kreps, CEO and Cofounder, Confluent. \u201cContinuously enriched, trustworthy data streams are key to building next-gen AI applications that are accurate and have the rich, real-time context modern use cases demand. We want to make it easier for every company to build powerful AI applications and are leveraging our expansive ecosystem of partners and data streaming expertise to help achieve that.\u201d<\/p>\n

\nWhile the promise of AI has been around for years, there\u2019s been a resurgence thanks to breakthroughs across reusable large language models (LLM), more accessible machine learning models, and more powerful GPU capabilities. This has sparked organizations to accelerate their AI investments. However, a fundamental challenge in modern AI is a lack of access to the relevant, real-time data that AI applications need in a timely, secure, and scalable way.<\/p>\n

\nFor the past decade, AI heavily relied on historical data, integrated with slow, batch-based point-to-point pipelines that rendered data stale and inconsistent by the time it arrived. That’s no longer adequate for the real-time AI use cases today’s businesses are trying to launch, like predictive fraud detection<\/a>, generative AI travel assistants<\/a>, or personalized recommendations<\/a>. Compounding the problem are issues with poor data governance and scalability. As a result, the pace of AI advancements is stifled as developers are constantly tackling issues with out-of-date results and untrustworthy AI hallucinations. This isn\u2019t just a technical hurdle; it\u2019s a roadblock to AI innovation.<\/p>\n

\n“Although there\u2019s significant growth in the number of companies experimenting with generative AI, many face roadblocks from a fractured data infrastructure that lacks real-time data availability and trust,\u201d said Stewart Bond, Vice President, Data Intelligence and Integration Software, IDC. \u201cData management is the most important area of investment as organizations build an intelligence architecture that delivers insights at scale, supports collective learning, and fosters a data culture. Those that get it right have seen a 4x improvement in business outcomes by removing real-time data availability and trust roadblocks through data streaming, governance, security, and integration\u2013so it\u2019s worth the journey.\u201d<\/p>\n

Build a real-time data foundation for modern AI with Confluent<\/b><\/p>\n

\nModern AI applications require multiple technologies and data from numerous domains to seamlessly come together. The Confluent Data Streaming for AI initiative aims to help organizations quickly build and scale next-generation AI applications with a shared source of real-time truth for all operational and analytical data, no matter where it lives.<\/p>\n

\n“We built an AI platform designed for mission-critical use cases\u2014in industries where businesses simply can\u2019t afford to be wrong,\u201d said David Ferrucci, Founder and CEO, Elemental Cognition. \u201cOur interactive reasoning engine leverages a continuous supply of data that\u2019s reliable, trustworthy and current. Confluent\u2019s data streaming platform makes that possible and enables us to mix and match data from different systems and optimize it for contextually rich insights and answers in real time.\u201d<\/p>\n

\nAs part of this launch, Confluent has extended partnerships in the AI space and also committed to delivering more AI capabilities within its own platform to further ease the development of real-time applications.<\/p>\n

Expanded partnerships<\/b><\/p>\n