Cloudera Expands Enterprise AI Ecosystem with Hybrid Solutions and Strategic Partnerships

Enterprise AI ecosystem: Cloudera's hybrid solutions - SiliconANGLE

Enterprise AI ecosystem is a key ingredient in Cloudera's recipe for customer success Cloudera Inc. has taken a team approach by expanding its enterprise AI ecosystem to include a diverse range of industry-leading AI providers, building a portfolio of enterprise AI solutions for its customers. The data management and analytics firm announced partnerships with Amazon Web Services Inc., Nvidia Corp., and Pinecone Systems Inc. last year. Cloudera extended its joint capabilities further in 2024 with collaborations involving Google LLC., Anthropic PBC and Snowflake Inc. "The idea is AI as a team sport," said Abhas Ricky (pictured), chief strategy officer of Cloudera. "The purpose of the enterprise AI ecosystem is to work together with these 'crème de la crème' companies out there to be able to get prescriptive solutions provided by the experts on our sites and their sites to make a joint customer successful. That is required because ... there is a model every Monday, there's a framework every Tuesday [and] there's new benchmark results every Wednesday." Ricky spoke with theCUBE Research's Bob Laliberte and co-host Rebecca Knight at the Cloudera Evolve24 event during an exclusive broadcast on theCUBE, SiliconANGLE Media's livestreaming studio. They discussed Cloudera's growing partnership network and providing true hybrid solutions. (* Disclosure below.) During his interview with theCUBE, Ricky provided specifics about Cloudera's most recent partnerships. The company has added over 150 Google Gemini models from the Google Vertex platform, according to Ricky, and partnered with Snowflake on querying data assets within the Cloudera lakehouse through the Apache Iceberg REST catalog. Cloudera has also formed an extensive arrangement with Anthropic. "We work with Claude Opus or Claude Sonnet 3.4 and a host of others," Ricky said. "Across all of these capabilities, the idea is [that] you want to be able to bring the models to the data and not the data to the models." A central element of Cloudera's enterprise AI partnership strategy involves the provision of hybrid solutions. Cloudera's focus on greater interoperability between systems is designed to help customers realize cost efficiency and flexibility for enterprise applications. "I generally believe we're the only provider for true hybrid solutions," Ricky said. "The definition for true hybrid means you have to write once and deploy anywhere in terms of an application. If you can move your workloads and applications bi-directionally between private cloud and public cloud without application refactoring cost, that's what hybrid means, and that's what we're focused on." Here's the complete video interview, part of SiliconANGLE's and theCUBE Research's coverage of the Cloudera Evolve24 event:

With hybrid data management strategy, Cloudera builds on AI boom - SiliconANGLE

Cloudera capitalizes on hybrid data model to provide better business insights Despite cloud's growing dominance, the ongoing artificial intelligence boom is giving rise to hybrid data management. Cloudera Inc. looks to capitalize on this trend by bringing data to customers on-premises and in the cloud, as well as harnessing AI to offer business insights. "They are trying to represent themselves as the hybrid data management system and recognizing the fact that modern IT environments are highly distributed," said Bob Laliberte, principal analyst at theCUBE. "What we're seeing is Cloudera coming out and putting together a hybrid solution that enables organizations to get the compute to where the data is and enable organizations to accelerate their insights either from analytics or AI." TheCUBE Research's Rebecca Knight and Bob Laliberte discussed Cloudera's response to the rise of AI at the Cloudera Evolve24 event during an exclusive broadcast on theCUBE, SiliconANGLE Media's livestreaming studio. (* Disclosure below.) The AI boom has caused a lot of anxiety among consumers, who fear their jobs being replaced by AI. However, Cloudera's message is that a human touch is still needed during the AI process, a balancing act that Knight characterizes as complex. "There is a need often for a human in the loop," she said. "The question is, where? And I think that companies will have to do trial and error and have to figure out [and] do research on when and where we combine humans in AI. There are certain tasks that organizations do ... to get work done that are about generating content [and] generating ideas and solutions. Bringing together the robots with the workers is sometimes really exciting and sometimes doesn't work as well when the robots [are] just working on their own and the humans [are] working on their own." Cloudera's partnership with Nvidia on its microservices (NIMs) and its development of advanced machine learning prototypes bodes well for the company's future, according to Laliberte. He emphasizes that success will come from Cloudera using a hybrid data management model to give customers valuable insights about their businesses. "One of the things that came out in the keynotes [is that] they were talking about the efficacy of a lot of these models and how the large language models are great at getting you to 80% or 85%, but in order to really get you past that, you need to leverage specific data," Laliberte said. "Much of that specific data is only available in the company itself. And so, they're able to go in and extract, [to] not only leverage the large language models and data that's available in the cloud, but also get that key corporate data that's really going to help move the needle from 85% to 95% to 100%." Here's the complete video interview, part of SiliconANGLE's and theCUBE Research's coverage of the Cloudera Evolve24 event:

AI experience: Cloudera drives data management - SiliconANGLE

CEO Charles Sansbury builds on Cloudera's AI experience to help customers gain faster results It has been a little over a year since Charles Sansbury (pictured) was appointed chief executive officer of Cloudera Inc., and it didn't take him long to figure out that the AI experience would be his customers' and his company's focus after taking the helm at the data management and analytics firm. "Since I've joined, [artificial intelligence] has become the absolute topic," Sansbury said. "We've been doing what used to be called machine learning-based models for customers for 10 years. As compute has gotten faster and access to data has gotten greater, machine learning has evolved into what we call AI today, but it moved to one of our strengths." Sansbury spoke with theCUBE Research's Bob Laliberte and co-host Rebecca Knight at the Cloudera Evolve24 event, during an exclusive broadcast on theCUBE, SiliconANGLE Media's livestreaming studio. They discussed Cloudera's priorities and a new collaboration with Nvidia Corp. (* Disclosure below.) After joining Cloudera last year, Sansbury embarked on a tour to meet with customers and learn more about their business needs. Not surprisingly, AI was top-of-mind for Cloudera's clients around the world. "I heard every customer talk about the importance of AI and investing aggressively for it," Sansbury recalled. "And then I heard, 'But the folks who approve my investment, my board of directors, they want a return quickly ... what are the quick wins that we can get in terms of applications or use cases?' I think we're a pretty important part of the ecosystem, and it's establishing what those use cases are and then broadcasting it to customers, how they can get those quick wins." Customer requirements have led Cloudera to focus on three major priorities over the past 12 months, according to Sansbury. These include helping companies manage workloads across public cloud, private cloud and on-premises infrastructures, and facilitating the combination of data silos into a common data pool. Cloudera has also been working with customers to operationalize AI to enhance their AI experience. "We are not building large language models; that is not what we do," Sansbury said. "But we are providing the infrastructure and capabilities to make data available and appropriately structured to feed and train models. And then we're helping customers evaluate the performance of those models and deploy those models, which is a critical part of the ecosystem in helping companies realize AI." To help support customers in AI deployment, Cloudera just announced a joint effort with Nvidia for an AI inference service that will boost [large language model] performance by 36 times. Nvidia's NIM microservices will power Cloudera AI's ability to streamline deployment and management of large-scale AI models. "Nvidia spent lots of time trying to basically improve performance, and they've made incredible results," Sansbury said. "Generative AI at scale will be deployed by the world's largest companies on on-premises hardware because of cost, because of manageability [and] because of security issues, and they effectively are going to bring those LLMs to the data as opposed to moving the data to the models. What that means is those companies are going to have to have their own compute and they want to be able to use it in the most efficient way." Here's the complete video interview, part of SiliconANGLE's and theCUBE Research's coverage of the Cloudera Evolve24 event: