Infosys launches Topaz, an AI-first solution to accelerate business value through generative AI

Infosys launches Topaz, an AI-first solution to accelerate business value through generative AI

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Consulting and digital services company Infosys recently unveiled Infosys Topaz, a comprehensive suite of AI-centric services, solutions and platforms driven by generative AI technologies. With this release, the company aims to unlock the potential of individuals, businesses and communities to drive innovation and achieve next-generation value generation.

The company said that with this innovative suite of generative AI tools, organizations would be able to effectively leverage the capabilities of cognitive solutions, paving the way for exponential growth.

Topaz combines the capabilities of Infosys Cobalt cloud and data analytics, enabling businesses to leverage AI and cognitive solutions. Companies can accelerate the implementation of new ideas by accessing a repository of over 12,000 AI use cases. The Generative AI Labs within the suite offer pre-built industry solutions for the rapid adoption of AI and cognitive technologies.

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“The transformation unleashed by generative AI and advanced data analytics, with a cloud foundation, is changing business in profound and immutable ways. It enables businesses to operate with efficiencies never seen before, unlocking new avenues for business value,” Balakrishna DR, EVP and head of artificial intelligence and automation at Infosys told VentureBeat.

Democratize data and intelligence through generative AI

The company said the new offering democratizes data and intelligence, enabling a wider range of stakeholders to build disruptive business models with AI-driven products, services and revenue streams. Topaz achieves this with a network of more than 100 industrial partnerships in different sectors.

“Topaz has helped companies accelerate growth and create value through its AI-powered approach by helping them adopt open source large language models to build tight transformers that will solve a particular problem in the enterprise,” he said Balakrishna at VentureBeat. “Our goal is to address challenges in every industry domain or functional area.”

Balakrishna emphasized that Topaz takes an “responsible by design” approach supported by integrated governance and security frameworks, tools, and accelerators. These measures ensure compliance with ethics, trust, privacy, security and compliance.

The firm presented a case study of a UK bank that needed to digitise, refine and archive customer data in a searchable format to gain insights into complaint patterns, customer churn and customer experience.

Using Topaz, the company built a Contact Center Intelligence solution that includes conversation analysis, call intent prediction, agent performance analysis, and sentiment analysis. In addition, the automation and orchestration of more than two thousand processes that previously took weeks to complete was completed in near real time.

As another example, Infosys said it assisted a major telecommunications company in future-proofing its AI/ML architecture. The company aimed to build a resilient, scalable, model-based MLOps platform.

Infosys has implemented MLOps principles and patterns for implementing different models, such as a real-time model service batch, using cloud-native principles. This approach ensured that the solution was highly portable, allowing for deployment on premises and across various cloud service providers such as Azure and GCP.

The result was a standardized and scalable platform, resulting in a $1.8 million benefit to the company’s field operations.

What’s next for Infosys?

Balakrishna said organizations are at an inflection point where AI is disrupting almost every vertical.

He said Infosys aims to become an “AI-first” enterprise by reinventing its processes to transform its work, workforce and workplace.

“We are creating AI twins for everyone in the organization to amplify human potential and create exponential impact. We are reinventing all of our services with an ‘AI-first’ approach,” he added. human capabilities and strengthen the ethics of AI”.

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