The Next Wave: Charting the Enterprise AI Course Through Agentic AI, SLMs, and Responsible Innovation
Are organizations ready for the next frontier of AI? Can enterprises harness the power of autonomous agents and specialized language models? How about ensuring ethical deployment and robust governance?
Explore answers to these in this insightful conversation between Balakrishna D.R. (Bali), EVP, Global Head of AI and Industry Verticals, Infosys, and R “Ray” Wang, Principal Analyst and Founder, Constellation Research.
Let’s talk about Small Language Models!
Small Language Models (SLMs) are revolutionizing enterprise AI. Domain-specific SLMs can enable clients to scale AI from pilots to production through flexible solutions and more enterprises are taking to these further supported by retrieval augmented generation (RAG) and agentic AI. But what about their accuracy, cost-efficiency, and security for proprietary data? Let’s hear.
Agentic AI: From Bots to Action
The industry evolved from chatbots to agentic AI rapidly. With deep understanding of client business context and processes, Infosys goes beyond simple responses, enabling complex diagnostics for product support and even full audit execution through Infosys Agentic Foundry, part of Infosys Topaz™ so enterprises can think, act and evolve.
Human-Agent Collaboration: The Future of Enterprise AI
Human-in-the-loop is critical for agentic AI, so systems continuously learn from human feedback. With increasing sophistication, human creativity and empathy remain irreplaceable, ensuring a pervasive and impactful human-AI collaboration. Bali & Ray envision a future where agents operate seamlessly across enterprises with orchestration agents managing other agents.
Responsible AI: Frameworks & Future
Delve into the critical evolution of responsible AI has moved beyond basic ethics. Balancing innovation with regulation and having a proactive approach to managing AI risks in regulated industries is even more important now. Infosys has established twelve dimensions for Responsible AI, implementing automated guardrails like data anonymization, and open-sourced Responsible AI Toolkit for community contribution.
