Drag

WNS Announces Collaboration with Snowflake to Accelerate AI and Data Modernization

WNS Announces Collaboration with Snowflake to Accelerate AI and Data Modernization

Source: Businesswire India

Business Wire India
WNS (Holdings) Limited (NYSE: WNS), a digital-led business transformation and services company, today announced a strategic collaboration with Snowflake, the AI Data Cloud company. This collaboration will enable organizations across industries to accelerate data modernization and leverage AI to drive improved business outcomes.
 
WNS’ recent acquisition of Kipi.ai, a Snowflake Elite Partner, has significantly enhanced its data management, advanced analytics, and AI capabilities. Kipi.ai brings specialized expertise in data modernization and democratization with more than 600 SnowPro Core Certified Professionals, including 400 Advanced SnowPro Certified experts and three Snowflake Data Superheroes – an elite group of around 80 world-wide. Over the next two years, WNS plans to more than double its Snowflake-certified workforce to help service growing client demand.
 
The Snowflake AI Data Cloud enables organizations to unify data silos, perform real-time analytics, and securely share data across organizations at scale. By combining Snowflake’s industry-leading data and AI platform with WNS’ deep domain knowledge and AI expertise, the collaboration aims to deliver solutions that enhance operational efficiency, improve decision-making, create new revenue streams, and deliver sustainable business value for clients.
 
“WNS’ collaboration with Snowflake strengthens our ability to help clients modernize their data infrastructure and unlock the true potential of AI. Together, we are focused on delivering practical, scalable solutions that address evolving business needs and drive measurable impact,” said Keshav R. Murugesh, Group CEO, WNS.
 
“WNS’ commitment to building deep Snowflake expertise, supported by the acquisition of Kipi.ai, positions them well to support clients’ data modernization journeys. We look forward to working together to empower every enterprise to achieve its full potential through data and AI and accelerate innovation,” said Amy Kodl, Interim Alliances & Channels Leader, Snowflake.
 
This strategic collaboration will serve clients across the US, UK, Europe, and Australia, combining Snowflake’s cloud data capabilities with WNS’ domain expertise to support data modernization initiatives and AI-driven transformation.

DISCLAIMER

The content and services provided by Kalkine Consultancy India Private Limited (Research Analyst License No: INH000017727, hereinafter referred to as “Kalkine”) are for informational purposes only. The content, including but not limited to articles, news, quotes, information, data, text, reports, ratings, opinions, images, photos, graphics, charts, animations, and videos (collectively, “Content”), is a service of Kalkine Consultancy India Private Limited and is available for personal and non-commercial use only. Kalkine does not provide personalized financial advice and does not endorse or recommend any individuals, investment products, or services as suitable for specific financial situations. Investors are advised to consult a qualified financial planner or adviser to assess their risk tolerance and portfolio suitability before making any investment decisions. Kalkine accepts no liability for investment losses or any other financial detriment arising from reliance on the Content. Some of the Content on this website may be sourced from third-party providers. Kalkine does not claim ownership over such third-party content and does not guarantee its accuracy, completeness, or reliability. Kalkine shall not be held liable for any errors, omissions, or inaccuracies in third-party content or for any damages or losses resulting from its use. Any images, music, or videos used in the Content are either sourced from publicly available materials, paid subscriptions, or credited to their respective owners where applicable. Kalkine does not claim ownership of third-party media unless explicitly stated. This disclaimer is subject to change without notice. Users are advised to review it periodically for updates.