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Manasi Vartak
Chief AI Architect at Cloudera | Prev Founder & CEO at Verta (acq by Cloudera) | MIT PhD in AI Infrastructure
Manasi Vartak is a prominent figure in the field of Artificial Intelligence, currently serving as the Chief AI Architect at Cloudera. She is the founder and former CEO of Verta, a company that specializes in AI infrastructure tools for enterprise data science and machine learning teams. Verta was acquired by Cloudera in June 2024, enhancing Cloudera's AI capabilities.
Background and Education
- Education: Manasi holds a Bachelor of Science in Computer Science and Mathematics from Worcester Polytechnic Institute. She pursued her MS/PhD in Computer Science at the Massachusetts Institute of Technology (MIT), where her research focused on systems for software to streamline data science and machine learning processes.2
- Career Highlights: Before joining Cloudera, Manasi worked at several major tech companies, including Twitter, Google, Facebook, and Microsoft. She is a recipient of the Facebook Ph.D. Fellowship and the Google Anita Borg Fellowship.2
Professional Contributions
- Verta: Manasi founded Verta based on her PhD work at MIT CSAIL, focusing on ModelDB, the first open-source model management system. Verta's platform supports the entire lifecycle of machine learning models, including training, deployment, and governance.24
- Cloudera: As Chief AI Architect, Manasi plays a crucial role in operationalizing AI, focusing on scaling models in production environments across various platforms. She emphasizes the importance of model management and ensuring the integrity of AI models in enterprise settings.14
Current Focus
Manasi is involved in discussions about AI governance and ethical innovation, highlighting the need for transparency, accountability, and oversight in AI projects to comply with emerging regulations.3 Her work at Cloudera aligns with the company's strategy to provide trusted enterprise AI solutions.
You can find Manasi Vartak on LinkedIn under the username manasi-vartak-77064610.
Highlights
Great to read Mark Zuckerberg's open-source AI "manifesto" released alongside Llama 3.1. Talking to AI builders every day, these motivations for OSS models ring particularly true:
- Companies want to run, fine-tune, distill their own models and have full control on their AI
- Builders want choice in models and don't want to be locked into one vendor
- Data security is still a major hurdle for regulated enterprises and they'd prefer to run models independently
At the same time, running such large models at scale requires skills and infrastructure that few teams have. Therefore, as a secondary effect, I suspect AI inference providers (e.g., AWS, Azure, Google, Cloudera AI Inference) will reap outsize benefits from open-source AI.
#opensource #generativeai #llama
I’m happy to share that I’m starting a new position as Chief AI Architect at Cloudera!
I look forward to the opportunity to shape Cloudera's AI strategy and help bring trusted, enterprise AI solutions to companies around the world.
If you’re an enterprise leader aiming to accelerate your company’s Enterprise AI journey, especially in a hybrid, multi-cloud environment, I’d love to connect and hear how Cloudera can support your AI initiatives.
