Thursday, December 5, 2024

How Infosys Is Training 300,000 Employees on Generative AI

Generative AI is causing both excitement and apprehension across industries. While some view it as an emerging technology with unclear applications, Infosys CTO Rafee Tarafdar sees this early stage as a prime opportunity to unlock its potential.

Despite the challenges of integration and security concerns faced by tech leaders globally, Tarafdar is confident in the technology’s transformative capacity.

In response to growing demand for AI expertise, Infosys is actively upskilling its 340,000-strong global workforce.

The company is ensuring that every employee becomes “AI-aware” as part of its commitment to preparing its workforce for the future of technology and innovation.

A Tailored Approach to AI Training

Infosys took a strategic approach, analyzing roles and tasks to identify where AI could automate, transform, or introduce new skills. This led to a three-tiered training program:

  1. AI-Aware: All employees learn the basics of AI, fostering organization-wide familiarity.
  2. Builders: Specialists trained to create GenAI products, such as customer service bots or AI tools for clients.
  3. Masters: Experts focusing on safety, bias prevention, and advanced AI model development.

Using its internal Lex platform, Infosys designed 66 courses tailored to each persona. The platform employed methods like the Socratic method, adaptive learning, and hands-on workshops, creating a comprehensive learning experience.

“Today, 84% of our workforce – 270,000 employees – are AI-aware,” told Tarafdar to Raconteur. “The rollout continues, focusing on upskilling builders and masters.”

Ensuring Responsible AI Adoption

Compliance and ethics were central to Infosys’ AI transformation. The company embedded a responsible AI framework into its training, addressing explainability, ethical use, and security concerns. External audits and adherence to the ISO 42001 standard reinforced its commitment to responsible AI practices.

To mitigate biases, Infosys encouraged employees to identify errors in AI outputs, enabling continuous model improvement. “Our feedback loop ensures datasets evolve, reducing fundamental issues over time,” Tarafdar explains.

Measuring Progress

Infosys tracks its AI program through metrics like platform usage and acceptance rates of AI-generated code.

Employees are empowered to report issues, turning the workforce into collaborators who refine AI models in real-time.

Strategic Foundations for Long-Term Value

While automation raises concerns about job security, Infosys CEO Salil Parekh emphasizes that GenAI aims to enhance productivity, not replace jobs.

Tarafdar remains optimistic: “Organizations with the right foundation – platforms, data, and responsible design – will realize AI’s full value. Those driven by hype alone may falter.”

Infosys’ measured and inclusive approach positions it as a leader in leveraging generative AI for sustainable growth.


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