The latest edition of Snowflake World Tour India, held in Mumbai, showcased how artificial intelligence (AI) and data are transforming the Indian business sector. Featuring Vijayant Rai, Managing Director for India at Snowflake, and Prasanna Krishnan, Head of Collaboration and Horizon at Snowflake, the event showcased how the convergence of AI and data is enabling businesses to across India to drive innovation, efficiency and growth.
Snowflake’s Approach: Simplifying AI for Indian Businesses
“There is no AI strategy without a data strategy,” Rai emphasized in his speech, emphasizing the importance of a robust data framework for AI success. Above all, data must be securely accessible to the right people at the right time to make critical business decisions. Snowflake’s AI Data Cloud enables organizations to access valuable data insights, improve customer experiences and minimize costs in industries such as financial services, retail and FMCG , manufacturing, airlines and logistics.
Snowflake’s holistic approach to enterprise AI was evident through its core philosophy: providing an integrated solution instead of isolated tools – “We give you the car, not the parts,” Rai added. By providing a unified platform, Snowflake helps businesses overcome complexities, improve efficiency, and make AI implementation seamless and reliable.
Success stories: How Indian businesses are leveraging Snowflake
Snowflake’s AI Data Cloud has significantly transformed Indian businesses, as highlighted by numerous success stories. Using Snowflake, Piramal Finance customized its products for the Bharat market and grew its business. This led to a 3-4x growth in its employees’ data usage, with over 100 business users actively using Snowflake, but the company still saved over INR 1 million. Built on the Snowflake platform, Razorpay’s DataSync service securely integrates business and financial data, enabling businesses to leverage it for better reporting, enhanced fraud monitoring and to generate new revenue streams, transforming businesses. payment data in a profit center. Swiggy, the food delivery giant, saw a 3.7x increase in daily queries, a 20% increase in data processing speed, and a 1.8x reduction in operational costs. Similarly, Urban Company increased its operational efficiency tenfold, with query response times reduced from over 20 minutes to less than 2 minutes, leading to faster and more efficient decision-making. These examples reflect how Snowflake is driving transformative change across industries, enabling advanced analytics, predictive insights, and personalized experiences for more than 10,000 customers worldwide.
Prasanna Krishnan, in her speech, said, “Snowflake is Data Complete,” says Prasanna. We can meet organizations’ requirements for data types and architecture models. Snowflake has supported unstructured data for years, such as text, PDF, audio, image, and video files. Thousands of customers store and process unstructured data in Snowflake. This is even more crucial now that AI allows organizations to derive more value from unstructured data. Document AI is an example of the many ways to process unstructured data with Snowflake.
Snowflake’s Document AI, available on AWS and Azure, helps business teams automate processes, gain valuable insights from their data, and improve decision-making. The potential applications of this technology are vast: from small financial firms to manufacturing conglomerates, from invoice reconciliation to evidence discovery.
“The calculation of the Snowflake AI Data Cloud is complete,” added Prasanna. It provides on-demand access to resources without delay, ensuring you only pay for what you use. Another key innovation is Snowpark Container Services, a fully managed container offering designed to make it easier to deploy, manage and scale containerized applications within the Snowflake ecosystem. Governance has been a differentiator for Snowflake since day one.
Snowflake Horizon Catalog provides a unified approach to compliance, privacy, security, and interoperability, including support for Iceberg tables. This integrated platform helps businesses comply with various regulations, enabling innovation at scale safely. Snowflake Horizon Catalog also supports secure sharing of data, applications and models, facilitating the seamless integration of AI into organizations.
Additionally, thousands of customers are migrating Spark pipelines written in Python, Java, and Scala to Snowpark, experiencing 4.6x faster performance with 35% cost savings, making more than 50% of customers in the world use Snowpark every week.
Embracing Future Innovation: Gen AI, Cortex AI and Arctic
Snowflake continues to focus on innovation through investments in generative AI and the introduction of Cortex AI. Cortex is a fully managed service designed to democratize AI, allowing users to access leading LLMs and develop AI-powered solutions, regardless of their technical expertise. This capability brings AI closer to governed data, ensuring easy access and governance for models. Additionally, Snowflake Arctic offers an enterprise-grade LLM optimized for complex tasks such as SQL code generation and statement-based processes, making it an ideal solution for handling challenging workloads.
Celebrate data-driven success
The event also honored companies making strides in data-driven innovation through the Snowflake Data Driver Awards, honoring Graas.ai with the Data Collaboration Award.
Shaping the future of AI and data in India
In his concluding remarks, Rai reiterated Snowflake’s vision of empowering enterprises with reliable and easy-to-use AI solutions, saying, “The era of enterprise AI in India has begun and Snowflake is proud to lead this revolution. With a unified approach, a strong focus on innovation and a commitment to security, Snowflake helps Indian businesses harness the power of data and AI to transform operations, fuel growth and shape the future of enterprise AI in India.
