sexta-feira, novembro 22, 2024
HomeBig DataCloudera Evaluates Integrated Data and AI Exchange Business Line to Optimize Data-Driven...

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


According to recent survey data from Cloudera, 88% of companies are already utilizing AI for the tasks of enhancing efficiency in IT processes, improving customer support with chatbots, and leveraging analytics for better decision-making. More and more enterprises are leveraging pre-trained models for various applications, from natural language processing to computer vision. For that reason, Cloudera is evaluating a new line of business: Cloudera Integrated Data and AI Exchange (InDaiX). 

InDaiX provides data consumers with unparalleled flexibility and scalability, streamlining how businesses, researchers, and developers access and integrate diverse data sources and AI foundational models, expediting 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 that enterprises are hoping to use AI for. InDaiX is being evaluated as an extension of Cloudera to include:

  •  Datasets Exchange:
    • Industry Datasets: Comprehensive datasets across various domains, including healthcare, finance, and retail.
    • Alternative Datasets: Unique datasets, such as location intelligence and social media data, providing novel insights for various applications.
    • Synthetic Datasets: High-quality synthetic data generated using state-of-the-art techniques, ensuring privacy and compliance.
  • AI Foundational Models Exchange: Access to pre-trained AI models, including natural language processing models, computer vision models, and reinforcement learning models, catering to various industry needs.
  • Unique Data Integration and Experimentation Capabilities: Enable users to bridge the gap between choosing from and experimenting with several data sources and testing multiple AI foundational models, enabling quicker iterations and more effective testing.
  • Scalability and Flexibility: Cloudera’s scalable architecture supports the growing volume and variety of data from InDaiX, allowing the platform to expand and adapt to changing data needs without compromising performance.

Offering a vast variety of data choices and AI foundational models, InDaiX enables businesses to create new data assets at scale, enabling them to run workloads in private or public clouds, choosing the most suitable environment for their needs. For data providers, InDaiX enhances distribution by reaching Cloudera’s established customer base and provides 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 high-quality, privacy-compliant, and scalable data solutions and AI models, Cloudera is cementing itself as the go-to platform for businesses, researchers, and developers seeking to build bespoke, innovative data-driven insights and applications.

For enterprises looking to work and participate in the evaluation process, learn more about how to get involved here.

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