- The $1 billion investment will advance
Wipro ’s AI, data and analytics capabilities and foundation, R&D and platforms and more. - It will also train all 250,000 employees on AI fundamentals and responsible use over the course of the next 12 months.
- Wipro ai360 will bring together the 30,000 its AI and data analytics experts with its technology and advisory ecosystem from four global business lines.
The $1 billion investment will help further advance Wipro’s AI, data and analytics capabilities and foundation, R&D and platforms, enhance FullStride Cloud, and build new consulting capabilities to help clients adapt to change and unlock new value through AI, the company said in a press release.
It will also train all 250,000 employees on AI fundamentals and responsible use of AI over the course of the next 12 months. It will also provide more customized, ongoing training for employees in AI-specialized roles.
“Artificial Intelligence is a fast-moving field. Especially with the emergence of generative AI, we expect a fundamental shift up ahead, for all industries. New business models, new ways of working, and new challenges, too. We are ready for the AI-driven future!” said
Wipro’s ai360 ecosystem is at the heart of all its AI work, the company said, adding that it will empower the talent pool and be ubiquitous across all operations and processes, as well as our solutioning for clients.
Wipro ai360 will bring together the 30,000 of its experts in data analytics and AI with its technology and advisory ecosystem from four global business lines.
Capabilities across cloud and partnerships; data, analytics and AI; design and consulting; cybersecurity; as well as engineering will be leveraged to develop new solutions and embed AI into all processes and practices. Its new global business line model will enable new levels of agility, speed, and depth in delivery.
The Bangalore-based tech major’s innovation hub Lab45 will be a core part of the Wipro ai360 ecosystem, providing clients with the talent, training, scale, as well as the research and co-innovation capabilities needed to accelerate AI adoption.