Cloudera launches three AI assistants

Data company Cloudera has launched three new AI digital assistants designed to help users accelerate the development of data, analytics and AI business applications.

The new AI assistants are designed to allow enterprises to leverage trusted data, analytics and AI applications rapidly while expanding the number of employees able to access the tools.

They include the SQL AI assistant, built to help solve challenges associated with writing complex Structured Query Language queries. The tool allows users to describe what they need in plain language, and the assistant will find the relevant data, write and optimise the query, and explain it back in simple terms.

Meanwhile, the AI chatbot within the Cloudera Data Visualisation tool is designed to directly converse with enterprise data to provide business insights unable to be captured by conventional business intelligence dashboards.

Finally, the Cloudera Copilot for Cloudera Machine Learning uses an array of pre-trained large language models to help navigate the challenges associated with deploying AI and machine learning models in production.

Cloudera Chief Product Officer Dipto Chakravarty said by embedding AI assistants directly into its platform, the company is helping to simplify the AI and machine learning experience for all of its users.

“As AI advances, Cloudera is committed to staying ahead of our customers’ needs,” he said. “Our new AI-driven assistants eliminate barriers, enabling every user to harness the power of AI across their organisations.”

Cloudera ANZ CTO Vini Cardoso said the new solutions will also help Australian organisations navigate the complexities of deploying AI to drive business innovation and increase efficiency.

“As game-changing as AI is, for many business leaders, establishing trust in AI is still a barrier to entry. Recognising this, we have harnessed our decade of AI experience and capabilities directly into creating this developers’ toolbox,” he said. “Not only does it give businesses the ‘easy button’ to start using AI Assistant technologies in their own AI application development efforts, but also the trust in their tools, mitigating risk and ensuring safe AI systems.”

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