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Debanjan Saha
CEO at DataRobot
Debanjan Saha is the Chief Executive Officer (CEO) of DataRobot, an AI company that serves Fortune 500 companies globally.1 He assumed the role of CEO in July 2022 after initially joining DataRobot as President and Chief Operating Officer (COO) in February 2022.4
Career Highlights
Prior to DataRobot, Saha had an impressive career in technology leadership:
- Vice President and General Manager of Data Analytics at Google Cloud (2019-2022)4
- Vice President and General Manager of Aurora and RDS at Amazon Web Services (2018-2019)4
- General Manager of Amazon Aurora at AWS (2014-2016)4
- Various leadership roles at IBM, including Director of Enterprise Cloud Solutions and Director of Storage Virtualization (2008-2014)4
Expertise and Achievements
Saha is recognized as a visionary technologist with a track record of building innovative products and multi-billion dollar businesses.1 Some of his notable accomplishments include:
- Leading the development of IBM's Storwize family of virtualizing storage controllers, growing its revenue to $1.1B/year in 3 years4
- Spearheading the worldwide launch of Amazon Aurora, which became the fastest-growing service in AWS history4
- Overseeing significant growth in Google Cloud's Data Analytics business, including the launch of innovative services like BigQuery Omni and Dataplex5
Personal and Professional Background
- Saha holds a fellowship with the IEEE and has co-authored award-winning scientific publications1
- He is credited with over 50 patent applications1
- Saha resides in the San Francisco Bay Area with his family1
- His educational background includes studies at the University of Maryland College Park4
At DataRobot, Saha is focused on leading the company's growth in the AI industry, emphasizing the combination of generative and predictive AI capabilities in a single platform.23
Highlights
I’m excited to share my latest article for Forbes Technology Council, where I dive into how AI observability can augment the value of your AI investments by empowering you to drive value, enhance transparency and establish trust. In a world where AI technology is rapidly advancing and influencing every sector, ensuring these core principles can make the difference between success and stagnation.
In this article, I explore some key practices:
1/ Understand the fine print: Ensure employees follow guidelines when using services like ChatGPT, as they’re trained on input data.
2/ Define processes early: Establish clear processes to review AI projects, ensuring ROI and proper data usage.
3/ Focus on critical areas: Prioritize monitoring costs, ROI, accuracy, and reputational risk.
4/ Go beyond observability: Make sure your platform allows real-time intervention and remediation.
Tailor these practices to your organization to unlock AI’s full potential, build trust, and manage risks effectively.
Read the my full article here: https://lnkd.in/eG-Pm-qf
#AI #AIObservability
One of my highlights from last week in Singapore & Kuala Lumpur was the opportunity to connect & learn from AI and Tech CxOs over breakfast and dinner roundtables.
Simplifying the AI stack, navigating AI governance and doing AI that makes business sense were amongst the topics that are top of mind for executives.
Sincere appreciation to our partners IMDA, EDBI Pte Ltd, PIKOM, The National Tech Association of Malaysia, Nutanix, KPMG, NTT DATA Malaysia for co-hosting our discussions.
