Transforming India’s Enterprise Sector with Snowflake’s AI Data Cloud

Overview

The final edition of the Snowflake World Tour in India, held in Mumbai, spotlighted the transformative impact of artificial intelligence (AI) and data on India’s enterprise sector. Industry leaders, including Vijayant Rai, Managing Director for India at Snowflake, and Prasanna Krishnan, Head of Collaboration and Horizon at Snowflake, shared how Snowflake’s AI Data Cloud is fostering innovation, enhancing efficiency, and driving business growth across various industries in India.

Snowflake's Approach: Simplifying AI for Indian Enterprises

Snowflake’s philosophy, as emphasized by Vijayant Rai in his keynote, underscores that “There is no AI strategy without a data strategy.” This principle forms the foundation of Snowflake’s AI Data Cloud. It is built to make data easily accessible, secure, and available in real-time, helping businesses make informed decisions precisely when they matter most. Instead of offering fragmented tools, Snowflake provides an integrated, unified platform. As Rai aptly stated, “We give you the car, not the parts.” With this seamless approach, Snowflake is helping Indian enterprises simplify AI adoption, reduce complexities, and enhance operational efficiency to achieve their business objectives.

Success Stories: How Indian Enterprises are Leveraging Snowflake

Snowflake’s AI Data Cloud is already significantly impacting multiple industries in India. Some of the most compelling success stories include:

• Piramal Finance: Leveraging Snowflake, Piramal Finance enhanced its personalization strategies, substantially boosting business activity. The platform experienced 3x to 4x growth in data usage, with over 100 business users actively relying on Snowflake, resulting in over INR 1 crore in cost savings.
• Razorpay: Snowflake’s AI-powered DataSync service helps Razorpay securely integrate business and financial data, a critical element for reliable reporting, fraud detection, and unlocking new revenue opportunities.
• Swiggy: For Swiggy, Snowflake has enabled a 3.7x increase in daily queries, a 20% boost in data processing speeds, and a 1.8x reduction in operational costs, underscoring how data-driven solutions can optimize operations for high-volume businesses.
• Urban Company: With Snowflake, Urban Company slashed query response times from 20 minutes to under 2 minutes, leading to a tenfold increase in operational efficiency. This speed-up has greatly improved decision-making and allowed the company to serve its customers faster.

These examples showcase Snowflake’s powerful role in helping Indian businesses tap into predictive insights, advanced analytics, and personalized customer experiences, which, in turn, are setting new standards for data-driven growth across industries.

Innovative AI Solutions: Document AI and Snowpark

In his talk, Prasanna Krishnan outlined Snowflake’s capabilities for handling unstructured data such as text, PDFs, audio, and video files—a critical capability for enterprises embracing AI. One key innovation in this area is Document AI, a solution available on AWS and Azure that allows businesses to automate workflows, extract valuable insights, and improve decision-making efficiency. Document AI already sees applications ranging from invoice reconciliation in finance to evidence discovery in manufacturing.

Snowflake’s Snowpark Container Services also plays a transformative role, enabling businesses to seamlessly manage and scale containerized applications. With thousands of customers migrating their Spark pipelines to Snowpark, the result has been up to 4.6x faster performance and 35% cost savings. Snowpark’s reach is extensive, with over half of Snowflake’s global customers regularly utilizing its capabilities for enhanced performance.

Embracing the Future: Generative AI, Cortex AI, and Arctic

Snowflake isn’t solely focused on today’s AI applications; it’s actively driving the future of AI. With innovations like Generative AI and Cortex AI, Snowflake is democratizing AI for businesses of all sizes. Cortex AI, a managed service, provides users access to large language models (LLMs), making it easier for those with varying skill levels to develop AI-driven solutions.

Snowflake Arctic is another cutting-edge offering—a powerful, enterprise-grade LLM built for complex tasks like SQL code generation and instruction-based processes. Optimized for challenging workloads, Arctic empowers businesses to integrate AI into their operations in ways that were previously difficult to achieve, furthering Snowflake’s commitment to making AI-powered solutions accessible and impactful.

Snowflake’s Commitment to Governance and Security

Snowflake has been committed to robust data governance and security since its inception. The Snowflake Horizon Catalog is central to this approach, providing a unified privacy, security, compliance, and interoperability framework. This allows businesses to securely share data, applications, and AI models across departments while meeting regulatory requirements. Snowflake’s dedication to governance ensures that Indian enterprises can innovate securely at scale, embracing AI without compromising security.

Shaping the Future of AI and Data in India

Snowflake’s holistic approach to enterprise AI—combining ease of adoption with stringent security, continuous innovation, and tools like Cortex AI and Document AI—positions Indian businesses to excel in a data-driven future. Snowflake’s journey in India is a testament to how the right technology partner can help companies embrace change, overcome challenges, and lead in a rapidly digitalizing world.

Drop a query if you have any questions regarding Snowflake AI and we will get back to you quickly.

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