Data Cooperation's Future Unveiled: Chetan Urkudkar Explains the Surging Influence of Cloud-Independent Strategy
India's market for data processing and digital services is poised for significant growth by 2025, attracting international investments worth billions of dollars. One key player in this burgeoning ecosystem is Habu, a leading provider of data collaboration and clean room solutions, where Chetan Urkudkar, an IEEE Senior Member and Senior Staff Software Development Engineer, currently works.
Urkudkar's team at Habu has achieved success in creating a secure data setting for analytics and machine learning deployments on AWS, GCP, and Azure. Notably, Urkudkar has spearheaded the development of a cloud-agnostic clean room collaboration platform, which allows various organizations to collaborate and analyze data together without exposing or moving it. This innovative technology has provided a competitive advantage for organizations using it, opening doors to new opportunities for business development.
Urkudkar's work on confidential computing solutions has earned him recognition, with LiveRamp, where he previously worked, being awarded Google Cloud Partner of the Year in 2023. He also holds a patent on confidential computing for data clean rooms.
However, the path to cloud-agnostic data collaboration is not without challenges. Enterprise companies face issues such as data fragmentation, security and privacy concerns, vendor lock-in risks, and rapid technology evolution. To address these challenges, Urkudkar and other experts advocate for cloud-agnostic models and platforms, investment in scalable data centers, vendor-agnostic integration, no-code and autonomous AI tools, and centralized management and governance frameworks.
Scalable data centers, such as those being built by global tech giants like Microsoft and Amazon in India, form the technical foundation for cross-cloud collaboration. Vendor-neutral AI integration platforms, like those being developed by leading AI and data service providers in India, support hybrid workflows involving traditional machine learning and large language models, while avoiding vendor lock-in.
No-code and autonomous AI tools, such as Genesys Cloud AI Studio, empower enterprises to build autonomous AI agents and workflows without deep coding expertise, facilitating faster development and consistent deployment across systems. Centralized management and governance frameworks, like Dataiku’s LLM Mesh, provide control over models, governance, and security guardrails across cloud and on-premises environments, mitigating risks and simplifying compliance.
With over a hundred existing data centers in India and eighty more planned, the infrastructure is in place to support these solutions. Major cloud providers, such as Google Cloud and Azure, have also launched or expanded their clean-room offerings within the recent years.
In summary, enterprise companies in India are navigating cloud-agnostic data collaboration by adopting flexible multi-cloud architectures, enhancing security with confidential and clean room computing, leveraging vendor-neutral AI integration platforms, and supported by massive local infrastructure investments. These strategies collectively address fragmentation, security, and lock-in challenges, enabling organizations to thrive in India's burgeoning data processing and digital services ecosystem.
[1] [India's Data Processing and Digital Services Market](https://www.reuters.com/business/indias-digital-services-market-seen-growing-30-annually-2025-2021-06-22/) [2] [Habu: Leading Provider of Data Collaboration and Clean Room Solutions](https://www.habu.ai/) [3] [Chetan Urkudkar: IEEE Senior Member and Senior Staff Software Development Engineer](https://www.ieee.org/membership_services/membership/senior_members/senior_members/senior_member_profiles/urkudkar_chetan.html) [4] [LiveRamp Wins Google Cloud Partner of the Year Award](https://www.liveramp.com/press/liveramp-wins-google-cloud-partner-of-the-year-award/)
In the context of India's digital services market, Urkudkar's work at Habu, a leading provider of data collaboration and clean room solutions, has played a significant role in the development of cloud-agnostic clean room collaboration platforms, which are being adopted by businesses to address data fragmentation, security concerns, and vendor lock-in issues in the burgeoning market for data processing and digital services.
Meanwhile, the growth of this market is supported by investments in scalable data centers, development of vendor-neutral AI integration platforms, the rise of no-code and autonomous AI tools, and the implementation of centralized management and governance frameworks, all of which aim to provide a competitive edge for organizations in the business sector while ensuring data privacy, security, and seamless deployments across different cloud and on-premises environments.
