Infosys launches cloud-integrated applied AI offering for enterprises
Digital services and consulting firm Infosys Ltd. today launched an applied artificial intelligence solution to help enterprises adopt a comprehensive approach to scaling up AI for their businesses.
The Infosys applied AI solution converges the power of machine learning with cloud capabilities to deliver new business analytics, with an aim to scale up business logic and insights across the cloud.
For example, an American bank used one solution from Infosys to employ natural language processing, which reads or listens to a conversation between humans to “understand” speech, to crunch data from an expense claims management mobile app. The addition of the NLP solution helped eliminate the need for manual reading of expense claims. Ordinarily that would require humans to read the claims directly, but NLP can help since the claims contain common and highly repetitive language.
“AI is integral today for enterprises looking at digital acceleration,” said Ravi Kumar S, president of Infosys. “The combination of data, cloud and AI is providing enterprises a distinct source of competitive advantage to their digital initiative by helping them unearth new possibilities across the ecosystem.”
Infosys applied AI could also help enterprises uncover actionable insights from their data estates, open-source data reservoirs and curated data exchanges on the cloud to build new AI models and use cases. With applied AI, businesses can create custom solutions in the living labs, orchestrate offerings from startups and the Infosys partner ecosystem.
The vision of Infosys applied AI is to provide enterprise businesses the tools to build their AI cloud, access open-source AI software-as-a-service on their hybrid cloud infrastructure and harness edge AI capabilities.
Another example of its use is a machinery manufacturer that analyzed warranty claims patterns to eliminate bias from a known data set and process. That was then used to re-engineer and automate the claims approval process.
According to a report from Grand View Research, the global AI market size was $39.9 billion in 2019 and cloud-based solutions are significant in the market. Many enterprise-level corporations continue to press forward building out their own infrastructure making AI more accessible for enterprise use cases in research and development, according to the report.
“Our clients are looking to scale AI across their organizations,” said Balakrishna D.R., head of AI & Automation Services at Infosys. “They want to discover greater value from AI, democratize it across rank and file teams, and de-risk its application to be ethical, explainable and responsible.”
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