Infosys Ltd

Discussion on Recommendation Algorithms and Systems

• Generative AI Work

  • Topaz: Infosys has developed a generative AI platform called Topaz, which allows individuals and organizations to build their own AI applications.
  • Capabilities: The platform includes a small language model and a multi-agent framework to support various business processes and functions.
  • Customer Engagement: Generative AI is being embedded in significant deals, often relating to productivity enhancement within client organizations.

• Customer Adoption and Impact

  • While specific customer enrollment figures for Topaz have not been disclosed, Infosys emphasizes that clients are seeing improved productivity through generative AI initiatives.
  • The approach focuses on operational efficiency and incorporates client data to tailor solutions, thus enhancing user engagement.

• Industry-Specific Models

  • Infosys is leveraging both internal and external clean datasets to train small language models, which can provide customized applications for various industries.

• Trends in IT Spending

  • The integration of AI into large deals is becoming a norm, but generative AI focuses primarily on cost efficiency rather than transformation projects.
  • There is an expectation that the use of recommendation systems could trigger an increase in IT spending over the next few quarters.

• Future Outlook

  • Infosys foresees an increase in the revenues related to generative AI, which is currently being positioned not just as an accelerator but as a foundational component for broader business applications.
  • The company remains optimistic about the capabilities of generative AI to enhance user experience and engagement across its client base.

Conclusion

Infosys is actively integrating generative AI into its services, with platforms like Topaz designed to improve user engagement and expedite the development of recommendation systems tailored to specific client needs. The focus on industry-specific applications indicates potential growth in user interaction and satisfaction as these technologies mature.