Tiger Analytics Signs Strategic Collaboration Agreement with AWS to Deliver Generative AI Solutions
Tiger Analytics, a global leader in AI and analytics consulting, announced today that it has signed a strategic collaboration agreement (SCA) with Amazon Web Services, Inc. (AWS), with plans to offer innovative Generative AI solutions. This multi-year agreement will accelerate the development and deployment of GenAI solutions for customers, leveraging the deep expertise of Tiger Analytics with AWS’s robust cloud infrastructure and AI services.
This agreement builds on Tiger Analytics’ existing portfolio of Generative AI offerings, which include agent-driven platforms for business insights, information retrieval systems for pharmaceuticals, and solutions for Banking, Financial Services, & Insurance, Manufacturing, Supply Chain, and Retail operations. By deepening its partnership with AWS, Tiger Analytics aims to empower businesses to harness the full potential of GenAI to drive efficiency, enhance customer experiences, and unlock new business value.
“Our expanded partnership with AWS marks a significant milestone in delivering cutting-edge Generative AI solutions to our customers,” said Badrish Prakash, Global Head of Alliances, Tiger Analytics. “By leveraging AWS’s secure, scalable cloud infrastructure and powerful AI services such as Amazon Bedrock, Amazon Nova, Amazon Sagemaker, among others, we empower organizations to accelerate innovation, gain a competitive advantage, and transform their business operations. This agreement enables us to help our clients move from AI experimentation to tangible business outcomes.”
The agreement highlights the combined strengths of Tiger Analytics and AWS in delivering flexible, scalable GenAI solutions tailored to industry-specific challenges. Customers across BFSI, manufacturing, retail, CPG, and healthcare will benefit from Tiger Analytics’ deep domain expertise alongside AWS’s comprehensive suite of GenAI services, including Amazon Bedrock, Amazon Nova, Amazon Sagemaker, etc., to address real-world business challenges.
