DataRobot launches AI Cloud for industries including banking and healthcare

Boston-based DataRobot, a startup enabling enterprise AI development and implementation, today announced the launch of DataRobot AI Cloud for Industries, a comprehensive platform that combines AI capabilities with sector-specific best practices, integrations and partnerships for companies across major industries.

Back in September, DataRobot unveiled the DataRobot AI Cloud as a unified platform to accelerate the delivery of AI for production. The new end-to-end solution builds on that, enabling companies to use AI to streamline their operations, accelerate growth opportunities, solve challenges and manage risks while delivering services.

The development comes as industrial clouds become a new trend in the company’s technological space due to the need for sector-specific tools. Even Microsoft has announced cloud for retail, manufacturing, finance, healthcare and nonprofits.

AI Cloud for Industries: Benefits

According to DataRobot, the offering provides more than 100 best practices for delivering AI for important use cases and business challenges; dozens of Pathfinder Solution Accelerators, third-party integrations and notebooks that accelerate the path from concept to AI production tailored to industry priorities; and integrations with data services, business applications and existing security management tools.

It is also driven by the expanded partner and channel offerings to integrate intelligent insights into data platforms, applications and system integrator services and provide customers with the critical capabilities required to accelerate growth and scale operations, the company said.

Currently, AI Cloud for Industries is available to companies in the banking, retail, manufacturing and healthcare sectors. But in the coming months, it will also be extended to energy, life sciences, insurance, government, telecommunications and media organizations.

In the banking sector, DataRobot said, the solution could accelerate the impact of artificial intelligence on utility cases such as fraud detection and prevention, customer marketing and acquisition, customer satisfaction and retention, and credit risk management. In manufacturing and retail, it can help with supply chain and inventory forecasts, preventive maintenance and quality assurance. Meanwhile, in healthcare, it can help organizations meet demand by optimizing patient care to prioritize the most critical cases, anticipate staff, and operational needs.

In particular, the company already claims to have delivered more than one million active customer projects working with leading players in the above industries.

“DataRobot AI Cloud for Industries means that all industries now have an end-to-end platform to meet their industry-specific AI needs, from healthcare companies working to improve clinical outcomes to retailers innovating the shopping experience,” Ritu Jyoti , Group VP of worldwide artificial intelligence and automation research at IDC, said.

“This comprehensive set of offerings combined with solution accelerators, decision information frameworks and training programs uniquely places DataRobot as a solution for industries,” she added.

Globally, the business implementation of AI continues to increase, especially in light of the pandemic. In a recent survey by ManageEngine, Zoho’s IT department, 80% of U.S. technology executives said they had accelerated their AI adoption over the past two years. Because of this, investment in enterprise-focused AI startups has also increased, reaching $ 50 billion in 2021 alone.

DataRobot had also raised $ 300 million a few months ago, which touched on the valuation of $ 6.3 billion (post-money).


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