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Home News AI

Tech Mahindra unveils VerifAI for validating AI-based project outcomes

Arshi Khan by Arshi Khan
July 26, 2024
AI Validation

Tech Mahindra, a consulting and digital technology provider, announced the launch of TechM VerifAI, a comprehensive solution for validating and verifying the outcomes of Artificial Intelligence (AI) and GenAI projects.

Kunal Purohit, President of Next Gen Services at Tech Mahindra, said, “Many companies have not moved from pilots and experiments to enterprise-level adoption of AI due to the absence of a robust validation and assurance framework.”

Through this solution, Tech Mahindra will help enterprises validate the end-to-end lifecycle of AI-based projects, thereby enabling them to scale their AI initiatives speedily.

TechM VerifAI is a pre-built, 360-degree validation framework across the GenAI lifecycle. Its customizable metrics, microservices-based architecture, and seamless integration into existing technology stacks will ensure faster and more reliable AI value realization for enterprises.

The VerifAI will check the data quality during the discovery and pre-development stages. During development, it will test AI models, frameworks, and hyperparameters to ensure security and accuracy. Furthermore, it will verify tune the deployed models to ensure that the results are consistent, explainable, and meet user expectations after deployment.

“TechM VerifAI addresses this need with a comprehensive framework for assessing, auditing, and certifying AI solutions across various domains and use cases. By adopting TechM VerifAI, enterprises can responsibly leverage AI for growth, success, and scale at speed by automating their validation and verification processes to a large extent, Said Kunal.

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Tech Mahindra will leverage its experience leading validation and verification projects for GenAI product innovators and early adopters to scale their AI initiatives quickly.

The company understands the comprehensive requirements of implementing a full-stack AI solution, encompassing key elements from infrastructure and datasets to rules, Application Programming Interfaces (APIs), GenAI models, and visualization layers.

Also Read: Tech Mahindra and Microsoft are joining forces to revolutionize workplace experiences using Generative AI

Arshi Khan

Arshi Khan

Arshi Khan is an editor at CXOVoice.com and has over three years of experience in tech business writing. In her role, Arshi covers significant developments in the tech industry. She has contributed numerous articles covering key IT, technology, banking, finance, and cybersecurity sectors. She provides valuable insights into the latest industry trends and developments, establishing herself as a knowledgeable and dedicated editor in the field. She can be reached at [email protected]

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