EAST BRUNSWICK, N.J. & BANGALORE, India- — Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO), a leading global information technology, consulting and business process services company, today announced the availability of its Artificial Intelligence (AI) and Machine Learning (ML) solutions on Amazon Web Services (AWS). Wipro’s AI-enabled, on-demand solutions on AWS will govern critical supply chain processes, and drive enhanced operational efficiency, productivity and superior customer experience for enterprise clients.

As part of this collaboration, Wipro’s solutions such as Wipro HOLMES™ Machine Learning for Accounts Payable Auditor, Wipro HOLMES™ E-KYC and Wipro HOLMES™ Machine Learning for Contract solutions will be powered by AWS. Clients will benefit from the combined strengths of the AI and automation platform – Wipro HOLMES™ and AWS AI and ML services. In addition, clients will be able to access Wipro HOLMES™ E-KYC Controller Extractor and Wipro HOLMES™ E-KYC Financials Extractor on AWS Marketplace for Machine Learning.

Wipro is a Premier Consulting Partner in the AWS Partner Network (APN).

“At AWS, our mission is to put machine learning in the hands of every developer. With AWS Marketplace, you can navigate, discover and deploy the ML models needed to build intelligent applications to fuel innovation. The AI and ML solutions leveraging Wipro HOLMES and AWS SageMaker help customers in applying AI to procurement, supply chain, compliance and other domains,” said Garth Fort, Director, AWS Marketplace, Amazon Web Services, Inc.

Wipro has implemented its Wipro HOLMES™ Machine Learning for Accounts Payable Auditor solution, powered by AWS, for the Greater Toronto Airports Authority (GTAA). The solution audits vendor payment transactions to proactively detect process anomalies, identify outliers and prevent payment leakage in the company’s procure to pay process.

Pierre Lanthier, Director of Innovation and Transformation, The Greater Toronto Airports Authority (GTAA) said, “GTAA has embarked on a transformation journey with Wipro to achieve operational efficiencies and improve traveler experience. As part of this endeavor and given increasing business complexity, we were looking to apply innovative thinking in our procure to pay process. The Wipro HOLMES™ artificial intelligence and automation platform along with AWS have helped us adopt a preventive and proactive strategy to mitigate rising operational and compliance risks in our procure to pay process.”

Rohit Adlakha, Vice President and Global Head – Wipro HOLMES™ and Automation Ecosystem, Wipro Limited said, “We have leveraged the Wipro HOLMES™ AI and Automation platform and AWS AI and ML services to build several outcome-driven solutions. In addition, we have published some of our machine learning models on AWS Marketplace for Machine Learnings. Our relationship with AWS allows us to leverage the combined might of Wipro HOLMES™ and AWS to solve complex business problems for our clients in areas such as procure to pay, contract management, and customer onboarding, across industry sectors.”

Wipro’s AI and Automation platform, Wipro HOLMES™ represents Wipro’s integrated automation capabilities across infrastructure, applications and business process services, delivered through a comprehensive blend of tasks, processes, and cognitive technologies. These capabilities have been deployed for over 350 clients across industries.

About Wipro Limited

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading global information technology, consulting and business process services company. We harness the power of cognitive computing, hyper-automation, robotics, cloud, analytics and emerging technologies to help our clients adapt to the digital world and make them successful. A company recognized globally for its comprehensive portfolio of services, strong commitment to sustainability and good corporate citizenship, we have over 175,000 dedicated employees serving clients across six continents. Together, we discover ideas and connect the dots to build a better and a bold new future.

Forward-looking and Cautionary Statements

Certain statements in this release concerning our future growth prospects are forward-looking statements, which involve a number of risks, and uncertainties that could cause actual results to differ materially from those in such forward-looking statements. The risks and uncertainties relating to these statements include, but are not limited to, risks and uncertainties regarding fluctuations in our earnings, revenue and profits, our ability to generate and manage growth, 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. 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.

Contacts

Shraboni Banerjee
Wipro Limited
shraboni.banerjee@wipro.com