Cloudera Enables Trusted, Secure and Responsible Artificial Intelligence at Scale

Rob Bearden, CEO of hybrid data company Cloudera, has outlined the way for businesses to benefit from safe, reliable, and responsible AI at scale. The new availability model for Large Language Modeling (LLM) helps customers use generalized AI based on their own data and business context with security and governance. The announcement was made at The Six Five Summit analytics event, which will run from June 6 to 8, 2023.

Cloudera enables customers to manage and unlock value from their data in private and public cloud environments. Cloudera’s Open Data Lakehouse brings together data warehouse and data lake capabilities to support business intelligence, AI, and machine learning (ML) solutions. At the same time, businesses have the flexibility to deploy these solutions on the private and public cloud of their choice with the same experience.

“Cloudera has developed a best in class hybrid open data lakehouse solution,”
“Managing 25 million terabytes of data for customers is on par with the hyperscalers. This places Cloudera in a unique position to help companies unlock value from their data, no matter where it resides. At the same time, the data is AI ready for enterprises to benefit from current and future developments in AI.”
Daniel Newman, CEO and Chief Analyst of The Futurum Group.
“This immense data under management places Cloudera in an unparalleled position to drive generative AI-based applications based on Open Data Lakehouse in an enterprise context,”
“Generative AI and Large Language Models are only as good as the data they’ve been trained on, and they need the right context. For these models and AI to be successful, it needs to be trusted. And trusting AI starts with trusting your data.”
Rob Bearden – CEO of Cloudera.

On average, nine of the world’s ten largest companies across different industries trust Cloudera for their data assets, which equates to 25 million terabytes of data managed with Cloudera solutions.

LLM with Enterprise Data Democratize AI

To extract more value from their data and succeed with enterprise AI in a reliable, secure and responsible way, Cloudera’s LLM Chatbot Augmented with Enterprise Data provides businesses with a holistic AI model. based on large language models. While publicly available AI services are attractive to businesses, they need to build these interactive experiences on top of their proprietary data in the right context without sharing their data. with external services. With the Cloudera service, companies can create their own AI applications powered by the open source LLM of their choice with their data, all stored internally within the company, empowering all developers and their businesses – not just data scientists and ML teams – and truly democratize AI.

Recently, Cloudera enabled Southeast Asia’s second-largest financial services consortium, OCBC Bank, to embed AI at scale across the organization to drive customer innovation and operational efficiency. As a result, OCBC Bank was able to increase revenue by analyzing real-time contextual data from customer conversations related to sales, service, and more.

Cloudera Continues to Invest in Innovation to Drive AI Adoption

“The AI market is changing rapidly. The reality is that data and enterprise context will be the constant to success of any LLM or AI models,”
“Cloudera has been helping enterprises gain value from AI and ML for years. We will continue to innovate and invest heavily in our entire product suite so that customers can benefit from trusted, secure and responsible AI-based applications.”
Rob Bearden – CEO of Cloudera.