Architecting your Enterprise for AI | Madhusudhan Sekhar [Video]

The evolution of AI in recent years has been nothing short of revolutionary. We’ve transitioned from rule-based systems to sophisticated machine learning and deep learning models capable of perception, reasoning, and interaction. This has paved the way for AI’s integration into various enterprise functions, promising unprecedented growth and transformation. Looking forward, AI is set to permeate every facet of the enterprise. AI-driven personalization will enable hyper-targeted marketing campaigns, enhancing customer engagement and conversion rates. Sales teams will leverage AI for predictive lead scoring and opportunity identification. Customer service will be revolutionized by AI-powered chatbots and virtual assistants, providing 24/7 support. AI will optimize supply chains, predicting demand fluctuations and automating inventory management. The transformative potential of AI is vast, but its successful implementation hinges on a robust enterprise architecture. This involves strategic planning, infrastructure readiness, data governance, and a culture of innovation. In this talk, we hypothesize this future and look at how Enterprise architecture would evolve and how organizations need to think about organizing themselves around this disruptive change