Infosys, a digital services and consulting firm, has recently launched Topaz, a comprehensive suite of AI-centric services, solutions, and platforms driven by generative AI technologies. The primary goal of this release is to help businesses unlock the potential of individuals, enterprises, and communities to foster innovation and attain next-gen value generation. Topaz combines the capabilities of InfosysCobalt cloud and data analytics, enabling businesses to harness AI and cognitive solutions.
Features of Topaz
Topaz offers a range of features that allow organizations to effectively harness the capabilities of cognitive solutions, paving the way for exponential growth. The suite includes generative AI labs that provide pre-built industry solutions for fast adoption of AI and cognitive technologies. Enterprises can access a repository of over 12,000 AI use cases, enabling them to expedite the implementation of new ideas. Topaz combines the capabilities of InfosysCobalt cloud and data analytics, allowing businesses to harness AI and cognitive solutions.
Infosys has also partnered with over 100 industry partnerships in diverse sectors to democratize data and intelligence. This empowers a broader range of stakeholders to create disruptive business models with AI-led products, services, and revenue streams. Topaz adopts a “responsible by design” approach backed by integrated governance and security frameworks, tools, and accelerators. These measures guarantee adherence to ethics, trust, privacy, security, and compliance.
Case Studies
Infosys presented two case studies to showcase the capabilities of Topaz. In one of them, a British bank needed to digitize, refine, and store customer data in a searchable format to derive insights about complaint patterns, customer churn, and customer experience. Using Topaz, the company created a Contact Center Intelligence solution encompassing conversational analytics, call intent prediction, agent performance analysis, and sentiment analysis. The automation and orchestration of over two thousand processes, previously taking weeks to complete, were accomplished for near real-time fulfillment.
In another case study, Infosys assisted a telecom major in future-proofing its AI/ML architecture. The company aimed to construct a resilient, scalable, and template-driven MLOps platform. Infosys implemented MLOps principles and blueprints for deploying different patterns, such as a real-time model-serving batch, utilizing cloud-native principles. This approach ensured the solution was highly portable, enabling deployment on-premises and across various cloud providers like Azure and GCP. The result was a standardized and scalable platform, leading to a benefit of $1.8 million for the company’s field operations.
Infosys aims to become an “AI-first” enterprise by reimagining its processes to transform its work, workforce, and workplace. The company is creating AI twins for everyone in the organization to amplify human potential and create exponential impact. Infosys wants to help clients across industry verticals to reimagine the digital enterprise, redefine human capability, and reinforce AI ethics. Topaz is an innovative suite of generative AI tools that can help organizations address challenges in every industry domain or function area.
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