Ecosystem of technology providers makes it easier, more economical, and safer for enterprises to maximize the value of AI initiatives

Cloudera, a hybrid platform for data, analytics, and AI, today announced the expansion of its Enterprise AI Ecosystem during its annual data and AI conference, EVOLVE24 New York. This initiative brings together a diverse group of industry-leading AI providers to deliver comprehensive, end-to-end AI solutions for customers that help to maximize the value of AI.

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Large enterprises have special requirements for running AI applications at scale, including:

At last year's EVOLVE conference, Cloudera launched the Enterprise AI Ecosystem, with these founding members:

Over the last year, the Enterprise AI Ecosystem has generated significant inbound interest and a steady flow of requests for Cloudera to build on its existing AI partners and establish new ones. Now Cloudera is proud to introduce its newest set of AI Ecosystem partners at EVOLVE24 New York. They are:

"We pioneered the Enterprise AI Ecosystem to cater to the complex and continually evolving enterprise-grade security, privacy, authorization, and LLM demands of major organizations; this involves a complete suite of solutions across accelerated compute, semantic querying, vector embeddings, multi-modal agents, RAG applications, fine-tuning, and frontier models," stated Abhas Ricky, Chief Strategy Officer at Cloudera. "AI researchers and practitioners have since deployed 400+ cutting-edge AI accelerators (AMPs) and numerous agentic applications supporting high-value use cases such as voice of customer analysis, invoice reconciliation, and underwriting automation. Together we are delivering a fully integrated Enterprise AI platform, built on leading models and knowledge bases, to further production-ready high fidelity solutions delivered with experts by your side."

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"OCBC has delivered dozens of Gen AI applications into production leveraging Cloudera AI and technologies from The Enterprise AI Ecosystem members," said Adrien Chenailler, Head of Data Science and AI at OCBC Bank. "Our call center transcription application transcribes thousands of hours of calls daily and has led to a significant reduction in average call handling time. We have reduced the investment in research time of our Relationship Managers with GenAI. We're delighted that Cloudera continues to expand their Enterprise AI Ecosystem because it delivers proven solution architectures that get us from prototype to production faster."

"Our partnership with Cloudera helps organizations extract hidden value in their enterprise data, including complex sources like images," said Kate Jensen, Head of Growth and Revenue at Anthropic. "The new Image Analysis capability turns visual data from images, charts or graphics into actionable insights, while Claude as the default model for Cloudera AI Coding Assistant, and potential other use cases such as Text to SQL and NLP Co-pilots provides customers with a powerful AI assistant that boosts productivity and uncovers new opportunities in their data. Together, we're transforming raw data into actionable intelligence, empowering businesses to make smarter decisions faster."

"We are thrilled to work with Cloudera to integrate Snowflake's Arctic Embed models into Cloudera AI Inference powered by NVIDIA's NIM," said Baris Gultekin, Head of AI, Snowflake. "This collaboration will empower our joint customers to unlock the full potential of generative AI at scale, driving faster insights, enhanced decision-making, and transformative business outcomes. Together, Snowflake and Cloudera are pushing the boundaries of what's possible with modern data platforms, providing businesses with the agility and intelligence they need to stay ahead in an increasingly AI-driven world."

Cloudera's existing group of Enterprise AI Ecosystem partners, including NVIDIA and AWS, will also be in the spotlight at EVOLVE24 New York, happening today, October 10.

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