Infosys Topaz AI is a complete portfolio of AI-centric services, solutions, and platforms that is powered by generative AI technology. Infosys is a digital services and consulting organization. With this release, the firm hopes to unleash the potential of people, businesses, and communities to promote innovation and generate next-generation value.
The business claimed that by using this cutting–edge set of generative AI tools, businesses will be able to fully use the potential of cognitive solutions and open the door to exponential development.
Infosys Topaz AI combines Infosys Cobalt cloud and data analytics capabilities, allowing enterprises to take advantage of AI and cognitive solutions. By accessing a database of more than 12,000 AI use cases, businesses can speed up the implementation of fresh concepts. For quick adoption of AI and cognitive technologies, the suite’s generative AI laboratories provide pre-built industrial solutions.
Ensuring responsible AI adoption with Infosys Topaz AI
The groundbreaking force of Infosys Topaz AI has been declared by the company, asserting that it ushers in an era of data and intelligence for all. By democratizing access to disruptive business models driven by AI-led products, services, and revenue streams, Topaz empowers a wide spectrum of stakeholders. Its power lies in a vast network of over 100 industry partnerships spanning diverse sectors.
Balakrishna, in an interview with VentureBeat, emphasized how Topaz has fueled the growth of enterprises and generated value through its AI-first approach. By harnessing open-source large language models and transforming them into narrow transformers, Topaz enables organizations to solve specific problems within their domains. Regardless of the industry or functional area, Topaz is positioned to tackle any challenge that arises.
A pivotal aspect of Topaz is its commitment to a “responsible by design” ethos, fortified by comprehensive governance and security frameworks, tools, and accelerators. This fortified infrastructure ensures strict adherence to ethics, trust, privacy, security, and compliance.
The company showcased a compelling case study involving a British bank’s quest to digitize, refine, and organize customer data in a searchable format. By leveraging the capabilities of Infosys Topaz AI, they developed a Contact Center Intelligence solution, encompassing conversational analytics, call intent prediction, agent performance analysis, and sentiment analysis.
Moreover, through automation and orchestration, previously arduous processes that took weeks to complete were now fulfilled in near real-time.
In another instance, Infosys Topaz AI demonstrated its prowess by assisting a telecom major in building an AI/ML architecture with future-proofing capabilities. Their objective was to create a resilient, scalable, and template-driven MLOps platform.
This feat was accomplished by implementing MLOps principles and deploying diverse patterns, including real-time model-serving batches while embracing cloud-native principles. This approach endowed the solution with portability, enabling deployment across on-premises environments and multiple cloud providers like Azure and GCP.
The outcome of this endeavor was a standardized and scalable platform, which yielded a remarkable benefit of $1.8 million for the company’s field operations.
What’s next for Infosys topaz AI?
According to Balakrishna, businesses are at a turning point when AI is upending almost every sector of the economy. He said that by reinventing its processes to improve its work, staff, and workspace, Infosys Topaz AI intends to become an “AI-first” organization.
“To maximize human potential and provide exponential effect, we are constructing AI twins for every employee in the business. With an “AI–first” mindset, we are completely reinventing all of our services, he said.
We intend to assist customers from many business verticals in reimagining the digital enterprise, redefining human capabilities, and reinforcing AI ethics in the future with the support of our Infosys generative AI lab.
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