Cognizant Goes Beyond PoC, Launches First-of-its-Kind AI Platform for Generative AI Deployment

The company looks to launch the NextGen programme in the next quarter of FY23, which is expected to impact around 3,500 employees
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Global IT firm, Cognizant, recently announced a new, enterprise-wide platform called Cognizant Neuro AI. This new platform provides enterprises with a comprehensive approach to accelerate the adoption of generative AI technology, alongside harnessing business values in a flexible, secure, scalable and responsible manner.

The platform has been built utilising its vast consulting, advisory and ecosystem partnership, alongside industry expertise.

The company claims that it is among the first to launch this AI platform to help its customers understand, integrate and customise AI models to drive business outcomes. EVP of software and platform engineering, Prasad Sankaran, said that this new AI platform goes beyond PoCs, and aims to accelerate the adoption of enterprise-scale AI applications, increase RoI, minimise risks, alongside develop business solutions faster. 

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Cognizant Neuro AI 

With its latest AI platform for generative AI, the company claims that business leaders will gain access to the full range of tools and capabilities. EVP of core technologies and insights, Anna Elango, said that the company believes enterprises need scalable, flexible, end-to-end tools to accelerate responsible AI adoption. 

Its new AI platform includes a library of reusable generative AI models and agents, development tools and control components, including APIs and access management, versioning and auditing. 

In terms of responsibly deploying the generative AI solutions, Cognizant said that its AI platform has been built on its in-house responsible AI principles, which mostly emphasise inclusivity, accountability, reliability and community benefit.

Cognizant vs the world 

Cognizant is not alone. Most Indian IT companies today claim to be working on developing generative AI solutions for their customers, and a majority are still in the PoC stages. For instance, TCS is diligently working on developing its own alternative to GitHub Copilot, to revamp enterprise code generation. Simultaneously, Accenture unveiled a new study titled ‘A New Era of Generative AI for Everyone.’ exploring generative AI and LLMs. 

Tech Mahindra, on the other hand, is taking a distinctive approach with its Generative AI Studio, empowering businesses with a user-friendly interface that facilitates a myriad of customisation options for their content. Now, Capgemini claims that it has a unique moat when it comes to deploying generative AI solutions. 

Read: Gen AI is All Over the IT World, Except on Ground

How is Cognizant’s AI platform different? The company said that its Neuro AI platform will help companies on their journey, from identifying specific use cases, alongside operationalising AI, to data engineering and continuous improvement. The platform also enables AI and engineering teams to build flexible, reusable, safe and secure solutions, alongside designing conversational and generative user experiences and more. 

Cognizant’s AI Prowess 

The company claimed that its new AI platform has been built on years of AI research and development, and AI applications developed for its clients. This includes deep learning, and machine learning, alongside generative AI techniques in life sciences, retail and healthcare. 

Its team has worked on areas such as price optimisation, predictive healthcare analytics, and crop science optimisation among others. 

Job losses 

Cognizant recently reported a 0.3% YoY of decline in its revenue, which stood at $4.8 Bn in the quarter under review. The company also saw a decline of 3,800 employees in FY22. However, its attrition rate declined to 23% from 30% in FY22 Q1. 

In a bid to streamline its operational modal and corporate functions, the company looks to launch the NextGen programme in the next quarter of FY23, which is expected to impact around 3,500 employees.

Amit Raja Naik
Amit Raja Naik is a seasoned technology journalist who covers everything from data science to machine learning and artificial intelligence for Analytics India Magazine, where he examines the trends, challenges, ideas, and transformations across the industry.

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