Wipro and Databricks Enhance Partnership to Drive Enterprise Data Modernization and Scalable AI Adoption

Wipro and Databricks Enhance Partnership to Drive Enterprise Data Modernization and Scalable AI Adoption

Wipro and Databricks Enhance Partnership to Drive Enterprise Data Modernization and Scalable AI Adoption​

Wipro Limited, a leading AI-powered technology services and consulting company, has announced an enhanced partnership with Databricks, the Data and AI company. The collaboration aims to enable enterprises to accelerate their data modernization efforts and achieve scaled AI adoption across various industries by setting up a specialized business practice.

The focused initiative is designed to move clients beyond fragmented data foundations and isolated AI pilot projects toward governed, enterprise-scale AI implementations. This partnership allows Wipro and Databricks to leverage existing data investments while developing new AI-led solutions tailored specifically to industry needs.

The collaboration will tightly integrate Databricks’ capabilities in agentic AI, data modernization, application development, and analytics with Wipro Intelligence™, the suite of transformative offerings and AI-powered platforms provided by Wipro. The practice aims to ensure that business users realize value quickly, utilizing tools such as Databricks Genie, which allows both technical professionals and business users to interact with enterprise data using natural language. By leveraging Wipro’s agent-native delivery platform, WEGA, the partnership will guide enterprises in transitioning from legacy systems to scalable, AI-ready data architectures.

Kanwar Singh, Managing Partner Technology Services at Wipro Limited, stated that their long-standing collaboration reflects a mutual commitment to helping enterprises move from mere AI experimentation to achieving measurable value. He added that the new business practice will unite platform specialists, consulting expertise, and industry teams to co-create solutions that boost data transformation and enterprise-wide AI adoption.

The dedicated business practice is built upon a foundation of over 300 agentic AI and data use cases delivered across multiple sectors, including banking and financial services, healthcare, telecom, manufacturing, and energy. The practice has received recognition from Databricks as the 2025 Banking Partner of the Year Award and the 2026 Innovation Partner of the Year.

Kori O'Brien, Senior Vice President of Partnerships at Databricks, highlighted that Databricks assists companies in unifying data, analytics, and AI with built-in governance and cost efficiency. She stated that this global practice with Wipro will allow enterprises to build trusted data foundations and deploy production-ready AI at scale, turning data intelligence into tangible business impact.

The solutions developed through the new practice are context-aware and apply AI directly to core business challenges across industries. These include:

  • Banking and Financial Services: End-to-end wealth management, client experience enhancement, and portfolio performance optimization.
  • Manufacturing and Consumer Goods: Planning resiliency against global macroeconomic volatility.
  • Telecommunications (Telecom): Driving growth through agentic AI-led sales and marketing transformation.
  • Energy and Large-Asset Industries: Improving asset visibility and performance.
  • Financial Services: Agentic AI-led Chief Financial Officer Transformation, reimagining Financial Planning & Analysis processes for cost optimization and higher efficiency.

Through this newly incubated practice, Wipro and Databricks plan to help joint clients become intelligent enterprises that are resilient by default and secure by design, preparing them for future reinvention.

WIPRO Stock Price Movement​

Today, shares of Wipro Limited edged higher in post-market trading, gaining 1.84% to settle at ₹178.53. The stock saw robust activity during the session, with over 12.5 million shares traded against a day range established between ₹175.61 and ₹178.78.
 

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