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Artificial Intelligence
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Data Analytics
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Digital Transformation
? News Story (~800 words, neutral journalistic flow)
Tiger Analytics has entered into a strategic collaboration agreement with Amazon Web Services (AWS) to accelerate the adoption of generative artificial intelligence solutions among global enterprises. The partnership is aimed at combining Tiger Analytics’ domain expertise in advanced analytics and machine learning with AWS’s powerful cloud infrastructure to deliver scalable, enterprise-ready AI capabilities.
Founded in 2011, Tiger Analytics has positioned itself as a specialist in data science and AI-led decision-making solutions, with a strong client base spanning industries such as financial services, retail, manufacturing, and healthcare. The company has consistently focused on helping businesses leverage data and AI to drive operational efficiency, improve customer experience, and identify new growth opportunities. Its collaboration with AWS marks another step in strengthening its ability to deliver cutting-edge solutions at scale.
Under the agreement, Tiger Analytics will leverage AWS’s generative AI services, including Amazon Bedrock, which provides foundation models through an API without requiring enterprises to build their own large language models from scratch. By combining Bedrock with Tiger Analytics’ proprietary AI accelerators and industry-specific expertise, the partnership will help enterprises reduce time-to-market for generative AI deployments and manage costs more effectively.
Executives from both companies highlighted that the collaboration will focus on building customized solutions that address industry-specific challenges. In banking and financial services, generative AI can improve fraud detection and automate compliance reporting. In retail, it can power personalized recommendations and customer engagement. In healthcare, the technology is being explored for clinical documentation and patient support. Tiger Analytics and AWS aim to provide enterprises with practical applications that align with business goals rather than experimental use cases.
Industry analysts have noted that demand for generative AI solutions is rapidly increasing, with organizations moving beyond pilot programs to enterprise-wide deployments. However, challenges such as integration with existing systems, governance, and data security continue to slow adoption. By working together, Tiger Analytics and AWS are positioning themselves to address these gaps with enterprise-grade solutions supported by scalable cloud infrastructure.
AWS brings to the collaboration its extensive suite of AI and cloud-native services, including advanced data management, security, and compliance tools. These capabilities will allow enterprises to deploy generative AI with confidence, ensuring that solutions adhere to industry regulations and organizational standards. Tiger Analytics complements this with its consulting and implementation expertise, ensuring that clients can design and execute AI strategies tailored to their needs.
The partnership also includes a commitment to joint go-to-market initiatives, enabling Tiger Analytics and AWS to work together in building awareness and adoption of generative AI across industries. This may include co-innovation labs, workshops, and accelerators designed to showcase real-world use cases. Such initiatives are seen as critical to helping enterprises understand the potential of generative AI beyond hype, focusing instead on measurable impact.
As part of its broader strategy, Tiger Analytics has been investing in AI talent, research, and proprietary tools. By integrating these assets with AWS’s ecosystem, the company expects to broaden its portfolio and expand reach in global markets. This collaboration also underscores AWS’s strategy of enabling partners to create specialized solutions on top of its cloud and AI infrastructure, creating a robust ecosystem of innovation.
The financial details of the agreement were not disclosed, but both companies emphasized the long-term nature of the collaboration. The announcement comes at a time when enterprises are increasingly looking to integrate AI into their business models to stay competitive. According to market forecasts, spending on generative AI solutions is expected to grow exponentially in the coming years, with sectors such as retail, finance, and healthcare leading adoption.
The Tiger Analytics–AWS partnership is therefore seen as a timely move that aligns with industry demand and technology trends. It reflects how enterprises are not only adopting generative AI but also seeking partners who can deliver secure, scalable, and business-focused implementations. By combining Tiger Analytics’ deep domain expertise with AWS’s technology stack, the collaboration is positioned to provide enterprises with tools that go beyond experimentation to achieve real business outcomes.
The announcement reinforces the growing role of partnerships between AI-focused firms and large cloud providers in shaping the next phase of enterprise digital transformation. As more businesses seek to balance innovation with governance, collaborations such as this are expected to play a central role in making generative AI mainstream.