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Cloudera, a data management and analytics solutions company, has expanded its AI expertise and capabilities with the launch of three new AI-powered assistants that help users unlock valuable data insights.
The dramatic rise of GenAI has led to increased awareness and adoption across industries, but enterprises continue to face challenges in developing and deploying data, analytics, and AI business applications in a timely manner, which poses a major obstacle to translating AI's immense potential into tangible business outcomes.
Cloudera claims that its new AI assistant will enable businesses to “put trusted data, analytics, and AI applications into production faster than ever before.” The democratization of AI tools will empower employees at all levels to contribute to data-driven decisions, ultimately resulting in faster and more impactful business outcomes.
The new AI assistant is built to speed up data, analytics and the creation of AI business applications while expanding the reach of employees who have access to these tools. The goal of the new service is to empower customers to transform data into actionable insights wherever they are.
As part of the announcement, Cloudera recently released Gartner Report It's predicted that by 2026, GenAI will reduce manual data management costs by up to 20% annually and enable four times the number of new use cases, and Cloudera wants to position itself as a catalyst for companies looking to capitalize on this opportunity.
“The AI and ML tech gold rush has opened up endless possibilities for businesses, but there are still significant growing pains across the industry when it comes to deriving valuable insights from AI,” said Andrew Brust of Blue Badge Insights. “For organizations to make the most of this new frontier, they need to effectively leverage AI for their business applications. Cloudera excels here, especially as they continue to infuse AI across their platform.”
The first of the new AI assistants introduced by Cloudera is a SQL AI Assistant designed to solve common challenges associated with writing SQL queries, including data discovery, query optimization, etc. Cloudera says that the new AI Assistant enables users of all skill levels to become SQL experts.
Users can describe what they need in plain language and through advanced techniques like Search Augmentation Generation (RAG) and prompt engineering, find relevant data. The assistant can not only optimize your query but also explain it in plain language.
Cloudera's second new AI assistant is an AI chatbot for Cloudera Data Visualization, which offers the unique ability to interact directly with enterprise data to provide contextual business insights.
Unlike typical BI dashboards that offer limited interaction and insights, this new AI assistant will provide businesses with deeper, actionable insights, and Cloudera claims that users simply ask questions in plain language, and the AI tool has the intelligence to access and analyze the underlying data and provide the most relevant and accurate output.
The third addition to Cloudera's AI Assistant suite is Copilot for Cloudera Machine Learning, built to solve common challenges in deploying AI and ML models. This AI Assistant is powered by pre-trained large-scale language models (LLMs). Seamlessly integrated with over 130 Hugging Face models and datasets, Copilot for Cloudera Machine Learning supports the entire AI application development lifecycle.
Earlier this month, Cloudera furthered its AI expertise by Acquisition of Verta's Operational AI PlatformIn March of this year, the company also announced the next phase of its open data lakehouse, powered by Apache Iceberg, for both public and private clouds. With the introduction of three new AI assistants, Cloudrea has further strengthened its position in the competitive AI and ML field.
“As AI advances, Cloudera is committed to staying ahead of our customers' needs,” said Dipto Chakravarty, chief product officer at Cloudera. “Our new AI-powered Assistant removes barriers, enabling all users to harness the power of AI across their organizations.”
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