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Thursday, November 21, 2024

Cloudera Evaluates Integrated Data Sharing and AI Line of Business to Optimize Data-Driven Generative AI Use Cases


According to recent data survey data According to Cloudera, 88% of companies are already using AI to improve IT process efficiency, enhance customer service with chatbots, and leverage analytics for better decision-making. More and more companies are leveraging pre-trained models for a variety of applications, from natural language processing to computer vision. That’s why Cloudera is evaluating a new business line: Cloudera Integrated Data and AI Exchange (InDaiX).

InDaiX offers data consumers unparalleled flexibility and scalability, streamlining how businesses, researchers and developers access and integrate diverse data sources and foundational AI models, accelerating the process of generative AI (GenAI) adoption.

As part of this evaluation process with InDaiX, Cloudera is conducting workshops with end users to better understand the practical use cases where companies hope to use AI. InDaiX is being evaluated as an extension of Cloudera to include:

  • Sharing datasets:
    • Industry datasets: Comprehensive datasets across multiple domains including healthcare, finance, and retail.
    • Alternative datasets: Unique data sets, such as location intelligence and social media data, provide novel insights for diverse applications.
    • Synthetic datasets: High-quality synthetic data generated using state-of-the-art techniques, ensuring privacy and compliance.
  • Sharing fundamental AI models: Access to pre-trained AI models, including natural language processing models, computer vision models, and reinforcement learning models, that meet diverse industry needs.
  • Unique experimentation and data integration capabilities: Enabling users to bridge the gap between choosing and experimenting with multiple data sources and testing multiple foundational AI models, enabling faster iterations and more effective testing.
  • Scalability and flexibility: Cloudera’s scalable architecture supports the growing volume and variety of InDaiX data, allowing the platform to expand and adapt to changing data needs without compromising performance.

By offering a wide variety of data options and AI foundation models, InDaiX enables enterprises to build new data assets at scale, allowing them to run workloads on private or public clouds, and choose the environment best suited to their needs. For data providers, InDaiX improves delivery by reaching Cloudera’s established customer base and providing valuable feedback on data usage and integration with AI models. This dual value proposition makes InDaiX an essential platform for driving innovation and operational efficiency in the data and AI markets.

By offering scalable, high-quality, privacy-respecting AI models and data solutions, Cloudera is establishing itself as the ideal platform for businesses, researchers, and developers looking to create innovative, data-driven applications and insights.

For companies looking to work with and participate in the assessment process, learn more about how to get involved. here.

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