Wipro’s Vision Of Transforming into an AI-First Firm with Over 220K Trained in GenAI
Over the next three years, Wipro will invest $1 billion to advance its AI capabilities as part of this strategy.
Wipro’s Vision Of Transforming into an AI-First Firm: Toward becoming an AI-first company, Bengaluru-based Wipro plans to train nearly all of its employees in artificial intelligence (AI) and generative artificial intelligence (GenAI).
Over the next three years, Wipro will invest $1 billion to advance its AI capabilities as part of this strategy.
The company launched ai360, an “AI-first innovation ecosystem” that integrates AI into every platform, tool, and solution used internally and offered to clients.
Over 220,000 employees have completed training on AI fundamentals and responsible use of AI, according to Tatavarti. Wipro had 240,234 employees as of December 31.
There are over 55,000 AI practitioners in our ecosystem, including AI experts, engineers, consultants, and data scientists. They are dedicated to integrating AI/GenAI across industries and technologies.
A training curriculum has been developed for Wipro employees to learn AI, machine learning, and GenAI.
From awareness to advanced specialisation, it caters to individuals with varying levels of knowledge and experience.
A key objective of these courses is to help associates develop the skills they need to use artificial intelligence and contribute to the ongoing progress in these fields. According to Tatavarti, employees can choose from a variety of learning paths to get the right AI education and tools for their roles.
On Wipro’s talent Cloud platform, Topcoder, Wipro has access to 1.7 million engineers and developers.
In addition to helping clients scale and accelerate AI projects, this plays a critical role in the company’s skilling and up-skilling initiatives.
As a final step, Tatavarti said, “we will further enhance our talent pool with acquisitions, investments, and an incubation programme with startups via our ventures arm.”
It is at an “inflection point” where enterprises are experimenting with various proofs of concepts (PoCs).
“They are looking to scale, shifting from the age of adoption to the age of value…which will be found from efficiencies created, savings realised, increased productivity and monetization, and new revenue streams. This means clients are looking for more ways to implement AI and for more solutions integrated with AI.”
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