June 25, 2024 – India – Cloudera, known for its hybrid platform for data, analytics, and AI, has introduced three AI-driven assistants aimed at accelerating the development of business applications and improving data analysis. These new tools further Cloudera’s commitment to expanding its AI capabilities, allowing customers to transform data into actionable insights more efficiently.
The surge in visibility and adoption of Generative AI (GenAI) has highlighted challenges for enterprises in quickly developing data, analytics, and AI applications that have a measurable business impact. Cloudera’s new AI assistants address these challenges by enabling faster production of reliable data, analytics, and AI applications, and making these tools accessible to a broader range of employees. This empowers enterprises to drive AI initiatives across the entire organization and leverage data-driven insights more effectively.
According to Gartner®, by 2026, GenAI will reduce manually intensive data management costs by up to 20% annually while enabling four times as many new use cases. However, enterprises need proper support to capitalize on this opportunity, and Cloudera aims to provide that with its new AI assistants:
1. SQL AI Assistant: This tool helps users write complex SQL queries by allowing them to describe their needs in plain language. The assistant uses advanced techniques to find relevant data, write, optimize, and explain queries. This simplifies the process of obtaining insights from data without needing to navigate SQL syntax.
2. AI Chatbot in Cloudera Data Visualization: Integrated within Cloudera’s dashboard, this chatbot provides contextualized business insights by conversing directly with enterprise data. Users can ask questions in plain language, and the chatbot matches them with relevant data and visuals, offering deeper insights beyond traditional BI dashboards.
3. Cloudera Copilot for Cloudera Machine Learning: Powered by pre-trained large language models (LLMs), Cloudera Copilot assists with the deployment of AI and ML models in production, supporting data wrangling, coding, and more. With integration to over 130 Hugging Face models and datasets, it accelerates AI application development and data science processes, helping enterprises achieve business value faster.
Andrew Brust of Blue Badge Insights highlighted the potential of AI and ML but noted ongoing challenges in deriving valuable insights from AI. Cloudera addresses these by integrating AI assistants directly into its platform, simplifying and enhancing the AI and ML experience for users.
Cloudera recently acquired Verta’s Operational AI Platform, further strengthening its leadership in AI and ML. By embedding AI assistants for SQL, BI, and ML, Cloudera is unveiling a new phase of enterprise AI, making it easier for every user to harness AI’s power across their organizations.
“As AI progresses, Cloudera remains committed to meeting our customers’ evolving needs,” said Dipto Chakravarty, Chief Product Officer at Cloudera. “Our new AI-driven assistants remove barriers, enabling users to leverage AI across their organizations effectively.”
For more information on building generative AI assistant capabilities with Cloudera and to learn about these features, visit Cloudera’s recent blog.