DataRobot introduces ‘AI Cloud for Industries’,

Arming manufacturers, banks, healthcare organisations and retailers for the future of Intelligent Business.

  • 6 months ago Posted in

DataRobot has announced DataRobot AI Cloud for Industries, a comprehensive solution that unites industry-tailored AI capabilities and best practices, integrations, and expanded partnerships for major industries. Building upon DataRobot AI Cloud, the launch leverages DataRobot’s deep expertise working with many of the largest and most successful manufacturing, banking, healthcare and retail organisations in the world to harness the power of AI to transform their operations, accelerate growth opportunities and manage risk as they deliver services for their teams and customers.

“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,“ said Ritu Jyoti, Group Vice President, Worldwide Artificial Intelligence (AI) and Automation Research, IDC. “This comprehensive set of offerings coupled with solution accelerators, decision intelligence frameworks, and training programs uniquely positions DataRobot as a solution for industries.”

DataRobot has delivered more than one million active customer projects across leading organisations like Stanley Black & Decker and 84.51°, resulting in a vast library of best practices for applying AI to enhance patient care, supply chain management, fraud detection and prevention and more. DataRobot AI Cloud for Industries extends this expertise to accelerate the impact of AI for banking, retail, manufacturing and healthcare organisations. This solution will be further expanded to energy, life sciences, insurance, government, telecommunications and media organisations in 2022.


New report provides key recommendations to MSPs on how to best grow their cloud businesses.
Only 1 in 5 employees feel their organisation is very prepared for hybrid working.
Only a third of businesses recognise that data strategy facilitates AI.
The Internet of Things (IoT) is a top IT priority for global organisations for the next 12 months. But while the vast majority (92%) agree that they need to invest in IoT technologies in order to remain competitive, IT complexity and proven ROI are creating challenges. Delays and budget cuts due to the global pandemic have also had a more recent impact on project implementation.
FortiNDR leverages machine learning and deep neural networks – the next-generation of AI – to identify cyberattacks based on anomalous network activity and limit threat exposure.
New capabilities to find and fix process inefficiencies will extend Pega’s market-leading AI-powered decisioning and workflow automation capabilities.
Vivacity Labs sensors deployed to monitor the change in pedestrian footfall in retail areas and the change in vehicle yield rates at informal crossings.
Deloitte is expanding its cloud observability practice, encompassing DevOps principles, AI/ML, cloud complexity management and software engineering. The practice will leverage the Dynatrace® Software Intelligence Platform’s extensive observability and advanced AIOps capabilities and is charged with developing targeted solutions for clients, with the goal of accelerating digital transformation for the world’s largest organizations.