East Brunswick, N.J. | Bengaluru: Databricks and Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) have expanded their long-standing partnership to help enterprises modernize data foundations, accelerate AI adoption, and deploy enterprise-scale artificial intelligence solutions across industries.
As part of the enhanced collaboration, Databricks and Wipro have established a self-contained Databricks business practice focused on developing industry-specific AI-led solutions and accelerators.
The initiative is designed to help enterprises transition from fragmented data environments and isolated AI pilots to governed, enterprise-scale AI implementations.
The dedicated business practice will enable Wipro and Databricks to optimize existing data investments for joint clients while developing new AI-powered solutions tailored to specific industry requirements.
The collaboration combines Databricks’ capabilities in agentic AI, data modernization, analytics, and application development with Wipro Intelligence, the company’s suite of AI-powered platforms, solutions, and transformation offerings.
The practice will also help business users realize value faster by utilizing Databricks Genie, Databricks’ AI coworker that enables both business and technical users to explore and interact with enterprise data using natural language.
Leveraging Wipro’s agent-native delivery platform WEGA, the practice will support enterprises in transitioning from legacy systems to scalable, AI-ready data architectures.
“Our long-standing collaboration with Databricks reflects a shared commitment to help enterprises move from AI experimentation to measurable value,” said Kanwar Singh, Managing Partner – Technology Services, Wipro Limited.
“The business practice will bring together platform specialists, consulting expertise, and industry teams to co-create solutions that accelerate data transformation and enterprise-wide AI adoption.”
The newly established Databricks business practice is built on a portfolio of more than 300 agentic AI and data use cases delivered across multiple industries, including banking and financial services, healthcare, telecom, manufacturing, and energy.
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According to Wipro, the practice has also received recognition from Databricks, earning the 2025 Banking Partner of the Year Award and the 2026 Innovation Partner of the Year.
“Databricks helps companies unify data, analytics, and AI with governance built in, all with the most efficient cost of ownership,” said Kori O’Brien, Senior Vice President, Partnerships, Databricks.
“This global practice with Wipro will enable enterprises to build trusted data foundations and deploy production-ready AI at scale, turning data intelligence into real, measurable business impact.
This global practice with Wipro will enable enterprises to build trusted data foundations and deploy production-ready AI at scale, turning data intelligence into real, measurable business impact.”
Through the enhanced partnership, Databricks and Wipro will develop context-aware AI solutions designed to address industry-specific business challenges across multiple sectors.
In the banking and financial services sector, the collaboration will support end-to-end wealth management, portfolio performance optimization, and improved client experiences.
For manufacturing and consumer goods companies, the practice will focus on planning resiliency to help organizations overcome volatility in the global macro-economic environment.
Within the telecommunications sector, Databricks and Wipro will develop agentic AI-led sales and marketing transformation solutions aimed at driving business growth.
The partnership will also support energy and large-asset industries through solutions focused on asset visibility and performance improvement.
Additionally, the business practice will introduce an agentic AI-led Chief Financial Officer Transformation approach by reimagining Financial Planning & Analysis processes to improve efficiency and optimize costs.
Through the newly incubated practice, the companies said they will help joint clients become intelligent enterprises that are secure by design, resilient by default, and prepared for the next wave of business reinvention.
