Wipro sets up Databricks practice to scale enterprise AI adoption

2 min read     Updated on 27 Jul 2026, 06:14 PM
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Reviewed by
Shriram SScanX News Team
AI Summary

Wipro Limited announced an enhanced partnership with Databricks, establishing a self-contained business practice to drive industry-specific AI solutions. The initiative integrates Wipro’s WEGA platform and Databricks Genie to help clients modernize data foundations and deploy production-ready AI at scale, building on over 300 prior use cases and recent partner awards.

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Wipro Limited has established a self-contained Databricks business practice to accelerate enterprise AI adoption and modernize data foundations. Announced on July 27, 2026, this enhanced partnership creates a dedicated organizational unit focused on delivering industry-specific AI-led solutions. The move aims to help clients transition from fragmented data pilots to governed, enterprise-scale AI implementations by integrating Databricks' platform capabilities with Wipro’s delivery expertise. This structural realignment signals Wipro’s intent to consolidate its AI offerings under a specialized framework, positioning the company to respond effectively to growing client demand for secure, resilient, and intelligent enterprise solutions.

Enhanced Partnership Structure

The newly incubated business practice brings together platform specialists, consulting experts, and industry teams to co-create solutions. It leverages Wipro Intelligence™, the company’s suite of AI-powered platforms, alongside Databricks’ capabilities in agentic AI, data modernization, application development, and analytics. A key component of this integration is the use of WEGA, Wipro’s agent-native delivery platform, which enables enterprises to transition from legacy systems to scalable, AI-ready architectures. Additionally, the practice utilizes Databricks Genie, an AI coworker that allows business users to interact with enterprise data using natural language.

Feature: Details
Partner: Databricks
New Unit: Self-contained Databricks Business Practice
Key Technologies: Wipro Intelligence™, WEGA, Databricks Genie
Focus: Agentic AI, Data Modernization, Industry Solutions

Industry-Specific Solutions

The business practice is built on a foundation of more than 300 agentic AI and data use cases delivered across sectors including banking, healthcare, telecom, manufacturing, and energy. Wipro and Databricks will focus on context-aware solutions for core business challenges:

  • Banking & Financial Services: End-to-end wealth management, portfolio optimization, and client experience enhancement.
  • Manufacturing & Consumer Goods: Planning resiliency to manage global macro-economic volatility.
  • Telecom: Agentic AI-led sales and marketing transformation to drive growth.
  • Energy: Asset visibility and performance improvement for large-asset industries.
  • Finance Transformation: Reimagining Financial Planning & Analysis (FP&A) processes for cost optimization.

Kanwar Singh, Managing Partner - Technology Services at Wipro Limited, stated that the collaboration reflects a shared commitment to moving enterprises from AI experimentation to measurable value. The practice aims to optimize existing data investments while building new AI-led solutions tailored to specific industry needs.

Recognition and Strategic Impact

The collaboration builds on a strong track record, with Wipro being recognized by Databricks as the 2025 Banking Partner of the Year Award winner and the 2026 Innovation Partner of the Year. Kori O'Brien, Senior Vice President of Partnerships at Databricks, noted that the global practice enables enterprises to build trusted data foundations and deploy production-ready AI at scale. This structural realignment signals Wipro’s intent to consolidate its AI offerings under a specialized framework, positioning the company to respond effectively to growing client demand for secure, resilient, and intelligent enterprise solutions.

Historical Stock Returns for Wipro

1 Day5 Days1 Month6 Months1 Year5 Years
+1.96%+1.44%+2.32%-23.97%-31.82%-39.53%

How might Wipro's dedicated Databricks practice impact the competitive landscape among other major IT services firms like TCS and Infosys?

What specific revenue targets or growth metrics has Wipro set for this new AI-focused business unit in the next fiscal year?

Could the integration of WEGA and Databricks Genie create new data governance or security challenges for enterprise clients during migration?

Wipro assigned ESG rating of 78 by ESG Risk Assessments

0 min read     Updated on 23 Jul 2026, 12:20 AM
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Reviewed by
Riya DScanX News Team
AI Summary

Wipro Limited was assigned an ESG rating of 78 by ESG Risk Assessments & Insights Limited. The company stated it did not engage the agency, and the report was prepared using public domain data. The disclosure was made under Regulation 30 of the SEBI (LODR) Regulations, 2015.

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Wipro Limited has been assigned an ESG rating of '78' by ESG Risk Assessments & Insights Limited. The rating was voluntarily assigned, with the company clarifying that it did not engage the agency for this assessment. The report was independently prepared using data regarding the company available in the public domain.

The intimation regarding this rating was made under Regulation 30 of the SEBI (Listing Obligations and Disclosure Requirements) Regulations, 2015. The disclosure has been uploaded to the company's website for public access.

Detail Information
ESG Rating 78
Rating Agency ESG Risk Assessments & Insights Limited
Engagement Status Not engaged by Wipro
Data Source Public domain

Historical Stock Returns for Wipro

1 Day5 Days1 Month6 Months1 Year5 Years
+1.96%+1.44%+2.32%-23.97%-31.82%-39.53%

How might this uncommissioned ESG rating influence Wipro's attractiveness to ESG-focused institutional investors?

Could this independent assessment prompt Wipro to engage with official ESG rating agencies to align public perception with internal data?

Will this rating impact Wipro's competitive positioning against other IT majors with higher or lower ESG scores?

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1 Year Returns:-31.82%