2023: A Year of Innovation and Impact

December 21, 2023
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· 2 min read

2023 brings to a close a remarkable year.

Generative AI made AI a household name and ushered in one of the most exciting and fast-paced periods of technological advancement in recent history.

And we’ve been busy at DataRobot bringing to market the newest cutting-edge innovations with generative AI to accelerate impact for our customers around the world. 

This year, we “capped a comeback” and delivered three value-packed launches to significantly advance the DataRobot AI Platform. We unveiled new enterprise-grade generative AI functionality to close the confidence gap and accelerate adoption, including generative AI application cost and performance monitoring, a unified observability console and registry for governance, multi-provider comparison playground and other enhancements to deliver greater transparency and governance.

We also strengthened our partner ecosystem to provide maximum optionality and flexibility for our customers, announcing new capabilities and solutions with SAP, Microsoft, Google Cloud, and AWS. 

Finally, we celebrated industry recognition for our market-leading platform, including most recently being named a Leader in the inaugural IDC MarketScape: Worldwide AI Governance Platforms 2023 Vendor Assessment. Of the 10 AI/ML platform vendors evaluated, DataRobot was one of just four leaders, with the report citing strengths including extensive experience in regulated industries and continuous innovation.

A Leader like DataRobot sets the bar for AI at a time when both expertise in governance and rapid innovation is paramount – particularly for organizations with the most stringent regulatory requirements like banking and healthcare. DataRobot understands the unique challenges and requirements businesses face today, with an AI platform designed to avoid silos and vendor lock-in, and the tools that help customers accelerate AI deployments and ROI.
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Ritu Jyoti

Group Vice President, Worldwide Artificial Intelligence and Automation Research Practice, IDC

Why DataRobot?

DataRobot is the fastest path to AI value, empowering organizations to accelerate AI from idea to impact. 

With over a decade at the forefront of AI innovation, we know what it takes to make a real difference – to your bottom line, to your business vision, and to the world around us. 

Organizations across industries and geographies like CVS Health, Freddie Mac, Aflac, Warner Bros., BMW, and the U.S. Army trust DataRobot to help solve their biggest challenges with AI, leveraging generative and predictive capabilities today while providing the flexibility to adapt to the innovations of tomorrow. 

We’re incredibly proud of the work we do to help organizations across industries to deliver real-world value from AI solutions. 

We use DataRobot because it just works. We can rapidly build new AI use cases and have the optionality we need, especially with generative AI, that otherwise would not be possible.
F DeLetter Headshot
Frederique De Letter

Senior Director Business Insights & Analytics, Keller Williams

 

What’s next for DataRobot in 2024?

Next year, we are laser-focused on continuing to push the boundaries of innovation, listening to our customers and building what is needed most to deliver value for your organizations. 

Thank you to our customers and partners for the privilege of working together and delivering more and more impact with AI, every day.

Thank you to Robots around the world for always pushing to be better than yesterday. Here’s to 2024!

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About the author
Jen Hewlette
Jen Hewlette

SVP, Marketing

Jennifer Hewlette leads marketing at DataRobot, encompassing everything from brand to demand, storytelling to communications, as well marketing with our field and partners worldwide. Prior to DataRobot, Jennifer has years of experience helping companies like Cisco and European media giant ProSieben fuel growth through marketing, consistently delivering value for customers, partnering strategically for success, and leading teams through transformation.

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