Cloudera, a hybrid data company, has unveiled its strategy for enterprises to harness secure, trusted, and responsible AI on a large scale. With the introduction of a comprehensive blueprint for Large Language Model (LLM), customers can now leverage generative AI using their own data within the context of their enterprise, all while ensuring security and governance.
This technology incorporates an LLM Chatbot that is enhanced with enterprise data, enabling businesses to effectively utilize AI in a trusted, secure, and responsible manner. The solution offers a clear roadmap for implementing generative AI through large language models within organizations. While publicly available AI services may be attractive, many companies require interactive experiences tailored to their proprietary data and specific context, without compromising data privacy by sharing it with external services. By harnessing LLMs with enterprise data, businesses can build their own AI applications using their preferred open-source LLM, utilizing their own data and hosting everything internally. This empowers data scientists, machine learning (ML) teams, developers, and all lines of business, democratizing the use of AI within the organization.
Ahmad Shakora, Group Vice President, Emerging Markets at Cloudera, emphasized the importance of data and enterprise context for the success of any LLM or AI model. Shakora stated, “The world’s AI market is rapidly evolving. We have been helping enterprises derive value from AI and ML for years. We will continue to innovate and heavily invest in our entire product suite to ensure customers can benefit from trusted, secure, and responsible AI-based applications.”
One successful implementation of Cloudera’s technology is seen with OCBC Bank, Southeast Asia’s second-largest financial services group. By effectively integrating AI at scale across the organization, OCBC Bank experienced increased revenue by analyzing real-time contextual data from customer conversations related to sales, service, and other aspects. This enabled the bank to drive customer innovation and operational efficiency.
Cloudera’s solutions have gained the trust of nine out of ten of the world’s largest companies across various industries, allowing the management of an astounding 25 million terabytes of data. Leveraging the cloud provides businesses with the ability to efficiently manage and unlock the value of their data across private and public clouds. Cloudera’s Open Data Lakehouse combines the capabilities of a data warehouse and a data lake, empowering businesses with powerful business intelligence, AI, and ML solutions. Furthermore, companies have the flexibility to deploy their data solutions across their preferred private and public clouds while ensuring consistent experiences.
Daniel Newman, CEO and Chief Analyst of The Futurum Group, acknowledged Cloudera’s achievements, stating, “Cloudera has developed a top-notch hybrid open data lakehouse solution. Managing 25 million terabytes of customer data is on par with the hyperscalers. This positions them uniquely to assist companies in extracting value from their data, regardless of its location. Moreover, the data is primed for AI adoption, enabling enterprises to benefit from current and future advancements in AI.”
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