
DataRobot is pushing its Artificial Intelligence (AI) Cloud platform into its second decade with a host of product news and enhancements that it recently launched at DataRobot AIX 2022. DataRobot has focused a decade of innovation to make AI accessible to all businesses, and accelerate AI into production. Today, DataRobot is one of the most widely deployed AI platforms in the world, delivering over 1.4 trillion predictions for leading businesses.
The potential for AI to drive business results is creating demand across industries, from financial services and healthcare, to retail and manufacturing. In fact, a recent Forrester webinar estimates that 100% of enterprises will have AI in use in just the next 3 years. Over the next 10 years, DataRobot’s mission is to extend the value of AI to business critical applications and services that are trusted by all.
Today, DataRobot advances AI Cloud to achieve this goal through a series of new and enhanced capabilities designed to deliver business impact through the following:
- Next generation solution acceleratorsthat help organisations activate data-driven solutions by applying AI to the highest impact use cases for their business and their industry. DataRobot’s latest announcements expand on the already rich portfolio of accelerators, pre-built notebooks, integrations and no-code AI apps to help enterprises jumpstart AI initiatives and achieve maximum business value.
- Bias mitigation capabilities to reduce business risk,delivering a higher level of bias prevention by automatically identifying and adapting models before they reach deployment to mitigate bias and assure fairness.
- Integrated code-first notebooksproviding data scientists access to all necessary tools and resources to do exploratory, code-centric work. DataRobot is announcing the preview of Code-First Notebooks that are fully integrated in DataRobot AI Cloud, and bring together our capabilities from Zepl to deliver a purpose built environment for expert Data Scientists.
- Enhanced predictive AI apps for business users thatadd geospatial capabilities. Now, geospatial data is integrated in DataRobot’s No-Code AI Apps, allowing users to deliver unique insights by location and markets for even more targeted business decisions.
The same enhancements also help ensure enterprise trust via the following:
- Expanded MLOps for the enterprise,supporting enterprise operations for full model lifecycles. DataRobot is significantly expanding the enterprise operations capabilities of AI Cloud to better deliver an open and connected model for the IT organizations. By creating an open system and integrating with platforms like GitHub, Sumo Logic, Splunk, Datadog and Zendesk, DataRobot can meet the operational needs of customers better than ever, while helping organizations support mission critical AI deployments.
- Management agents for remote deployments,supporting the distributed needs of enterprises. This expanded capability supports complex use cases where monitoring and managing models is necessary across a range of services, deployed in multiple clouds, and all with the security and governance of a user’s current systems.
- Automated compliance documentation for all models, even those built outside of DataRobot. This enhanced capability brings greater efficiency and governance to all models, including highly regulated industries. Organisations can now rapidly generate compliance documentation while centrally managing governance across their entire model portfolio.
- Expanded support for proven DevOps practices with integration to GitHub Actions to automate ML workflows in line with proven CI/CD principles. By integrating AI Cloud into CI/CD practices teams can operate more efficiently, and bring AI to production faster and with more consistent levels of quality.
“Thanks in part to rapidly maturing AI development tools and best practices, the enterprise AI market is quickly reaching critical mass and adoption is approaching self-sustaining levels. This is further supported by a recent Omdia study that found 25% of enterprise buyers are currently looking to scale AI projects across multiple business units or functions,” said Bradley Shimmin, Chief Analyst, AI Platforms, Analytics and Data Management at Omdia. “Building on this kind of momentum, however, will demand that practitioners look beyond the operationalisation of basic Machine Learning workflows to also view those workflows as an integral part of the business itself, fully embracing business users, speeding time to value, and minimising business risk through tools supporting transparency, trust, and compliance.”
“AI solutions must adapt to deliver tangible business results and gain the trust of the enterprise,” said Nenshad Bardoliwalla, Chief Product Officer, DataRobot. “Today we are living up to that promise by increasing the impact of AI to deliver value across all businesses, teams, industries and regions while providing the enterprise capabilities that ensure AI is trusted when deployed in an increasingly mission-critical capacity.”
Additionally, DataRobot announced an expanded relationship with Google Cloud that will enable more customers to accelerate and scale their impact with AI. DataRobot customers will now be able to take advantage of Google Cloud Marketplace to streamline the procurement and deployment process, build AI-based models and generate even more intelligent business solutions on Google Cloud.
To learn more about DataRobot AI Cloud, and to explore DataRobot AIX2022 sessions, speakers and customer stories, visit https://aix.datarobot.com.


Archive
- October 2024(44)
- September 2024(94)
- August 2024(100)
- July 2024(99)
- June 2024(126)
- May 2024(155)
- April 2024(123)
- March 2024(112)
- February 2024(109)
- January 2024(95)
- December 2023(56)
- November 2023(86)
- October 2023(97)
- September 2023(89)
- August 2023(101)
- July 2023(104)
- June 2023(113)
- May 2023(103)
- April 2023(93)
- March 2023(129)
- February 2023(77)
- January 2023(91)
- December 2022(90)
- November 2022(125)
- October 2022(117)
- September 2022(137)
- August 2022(119)
- July 2022(99)
- June 2022(128)
- May 2022(112)
- April 2022(108)
- March 2022(121)
- February 2022(93)
- January 2022(110)
- December 2021(92)
- November 2021(107)
- October 2021(101)
- September 2021(81)
- August 2021(74)
- July 2021(78)
- June 2021(92)
- May 2021(67)
- April 2021(79)
- March 2021(79)
- February 2021(58)
- January 2021(55)
- December 2020(56)
- November 2020(59)
- October 2020(78)
- September 2020(72)
- August 2020(64)
- July 2020(71)
- June 2020(74)
- May 2020(50)
- April 2020(71)
- March 2020(71)
- February 2020(58)
- January 2020(62)
- December 2019(57)
- November 2019(64)
- October 2019(25)
- September 2019(24)
- August 2019(14)
- July 2019(23)
- June 2019(54)
- May 2019(82)
- April 2019(76)
- March 2019(71)
- February 2019(67)
- January 2019(75)
- December 2018(44)
- November 2018(47)
- October 2018(74)
- September 2018(54)
- August 2018(61)
- July 2018(72)
- June 2018(62)
- May 2018(62)
- April 2018(73)
- March 2018(76)
- February 2018(8)
- January 2018(7)
- December 2017(6)
- November 2017(8)
- October 2017(3)
- September 2017(4)
- August 2017(4)
- July 2017(2)
- June 2017(5)
- May 2017(6)
- April 2017(11)
- March 2017(8)
- February 2017(16)
- January 2017(10)
- December 2016(12)
- November 2016(20)
- October 2016(7)
- September 2016(102)
- August 2016(168)
- July 2016(141)
- June 2016(149)
- May 2016(117)
- April 2016(59)
- March 2016(85)
- February 2016(153)
- December 2015(150)