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Wipro Launches On-Premise GenAI Solution with Hewlett Packard Enterprise

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Wipro announced a strategic collaboration with Hewlett Packard Enterprise (HPE) to launch an on-premise GenAI solution at Wipro's Cloud Studio in Kodathi. Designed to enhance operational efficiency and customer experience, this platform leverages Wipro's Smart Operations and HPE's Machine Learning Development Environment. Field tests show it reduces Mean Time to Resolution (MTTR) by 50%, decreases incident inflow by 30%, and improves Overall Equipment Effectiveness (OEE). Targeting industries like financial services, healthcare, and manufacturing, it offers flexibility with varied Large Language Models (LLMs). Wipro and HPE aim to push AI innovation boundaries, ensuring clients meet their business goals.

Positive
  • Strategic collaboration with HPE enhances credibility.
  • 50% reduction in MTTR based on field testing.
  • 30% decrease in incident inflow.
  • Improvement in Overall Equipment Effectiveness (OEE).
  • Flexibility to choose from multiple Large Language Models (LLMs).
  • Potential to benefit key industries such as financial services, healthcare, and manufacturing.
Negative
  • No specific financial metrics or revenue projections provided.
  • Potential implementation challenges in diverse industry environments.

This innovative platform is engineered to drive operational excellence and enhance customer engagement

EAST BRUNSWICK, N.J. & BENGALURU, India--(BUSINESS WIRE)-- Wipro (NYSE: WIT, BSE: 507685, NSE: WIPRO), a leading technology services and consulting company, announced a strategic collaboration with Hewlett Packard Enterprise (HPE) to launch a GenAI solution within the new Customer Experience Center (CEC) at the Wipro Cloud Studio’s Kodathi office to serve customers globally. The solution will leverage Wipro's Smart Operations platform and HPE Machine Learning Development Environment to enhance operational efficiency and customer experience.

The solution will be designed to reduce Mean Time to Resolution (MTTR) duration for GenAI applications by about 50% based on field testing results, decrease the inflow of incidents by 30%, increase Overall Equipment Effectiveness (OEE), and reduce process cycle time to drive ongoing operational excellence. It will benefit industries heavily reliant on customer service, IT support, and operations such as financial services, healthcare, and manufacturing sectors.

Further, the solution will provide clients with the flexibility to select from a diverse range of Large Language Models (LLMs), depending on their unique business needs.

Jo Debecker, Managing Partner and Global Head, Wipro FullStride Cloud, said, “The co-creation of this GenAI platform is a testament to our longstanding strategic partnership with HPE and to our unwavering commitment to delivering advanced AI solutions within our new Customer Experience Center. This practice-specific center will showcase the potential of HPE Machine Learning Development Environment along with Wipro’s cutting-edge solutions. Together we will continue to push the boundaries of innovation to ensure our clients realize their business ambitions.”

Marc Waters, Senior Vice President, Global Sales, HPE, said, “Our collaboration with Wipro is well proven over many years and this expansion to include AI solutions is an exciting progression. Wipro’s deep technical expertise and HPE’s AI technology are a powerful combination that will accelerate time to value for our customers. By including HPE Machine Learning Development Environment as part of Wipro’s GenAI customer experience, we will enable customers to develop and deploy AI models faster by integrating with popular machine learning frameworks and simplifying data preparation.”

About Wipro Limited

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.

Forward-Looking Statements

The forward-looking statements contained herein represent Wipro’s beliefs regarding future events, many of which are by their nature, inherently uncertain and outside Wipro’s control. Such statements include, but are not limited to, statements regarding Wipro’s growth prospects, its future financial operating results, and its plans, expectations and intentions. Wipro cautions readers that the forward-looking statements contained herein are subject to risks and uncertainties that could cause actual results to differ materially from the results anticipated by such statements. Such risks and uncertainties include, but are not limited to, risks and uncertainties regarding fluctuations in our earnings, revenue and profits, our ability to generate and manage growth, complete proposed corporate actions, intense competition in IT services, our ability to maintain our cost advantage, wage increases in India, our ability to attract and retain highly skilled professionals, time and cost overruns on fixed-price, fixed-time frame contracts, client concentration, restrictions on immigration, our ability to manage our international operations, reduced demand for technology in our key focus areas, disruptions in telecommunication networks, our ability to successfully complete and integrate potential acquisitions, liability for damages on our service contracts, the success of the companies in which we make strategic investments, withdrawal of fiscal governmental incentives, political instability, war, legal restrictions on raising capital or acquiring companies outside India, unauthorized use of our intellectual property and general economic conditions affecting our business and industry.

Additional risks that could affect our future operating results are more fully described in our filings with the United States Securities and Exchange Commission, including, but not limited to, Annual Reports on Form 20-F. These filings are available at www.sec.gov. We may, from time to time, make additional written and oral forward-looking statements, including statements contained in the company’s filings with the Securities and Exchange Commission and our reports to shareholders. We do not undertake to update any forward-looking statement that may be made from time to time by us or on our behalf.

Wipro Media Relations

media-relations@wipro.com

Source: Wipro Limited

FAQ

What is the new solution launched by Wipro and HPE?

Wipro and HPE have launched an on-premise GenAI solution aimed at enhancing operational efficiency and customer experience.

What are the benefits of Wipro's new GenAI solution?

The solution reduces Mean Time to Resolution (MTTR) by 50%, decreases incident inflow by 30%, and improves Overall Equipment Effectiveness (OEE).

Which industries can benefit from Wipro's new GenAI solution?

Industries such as financial services, healthcare, and manufacturing can benefit from this solution.

What technologies are leveraged in Wipro's GenAI solution?

The solution leverages Wipro's Smart Operations platform and HPE's Machine Learning Development Environment.

Where is the new GenAI solution by Wipro and HPE deployed?

The solution is deployed at the Wipro Cloud Studio's Customer Experience Center in Kodathi.

What flexibility does Wipro's GenAI solution offer?

Clients can select from a diverse range of Large Language Models (LLMs) to suit their business needs.

How does Wipro's GenAI solution impact operational efficiency?

The solution improves operational efficiency by reducing MTTR, decreasing incident inflow, and enhancing OEE.

Who commented on the collaboration between Wipro and HPE?

Jo Debecker from Wipro and Marc Waters from HPE commented on the collaboration.

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