Start with an outcome, we’ll build the system to deliver it
Context engineering helped surface $200M in new pipeline
Cognizant put context engineering into production across its own global sales force. By learning from emails, contracts, delivery signals and conversations across teams worldwide, the system surfaces net-new opportunities no seller could find alone.
Cognizant CEO’s vision on building smarter enterprises with AI agents
Ravi Kumar S, Chief Executive Officer, Cognizant
Laying the groundwork for autonomous decision-making across agricultural operations
Patricio Salvatore La Rosa, Head of E2E Decision Science, Seed Production Innovation, Bayer | Paul Jarratt, Head of Thought leadership, Cognizant AI Lab
How Cognizant leveraged agentic AI to host and judge the world’s largest gen AI hackathon
Arumugam Kamaradassan, Head of Automation and AI Industrialization, Cognizant | Deepak Singh, Senior Data Scientist, Cognizant AI Lab
Enabling agentic AI: Why trust, ethics and partnership come first
Leo S. Mackay Jr. SVP, Ethics and Enterprise Assurance and Chief Audit Executive of Lockheed Martin
Designing for scale: Building the enterprise playbook for agentic AI
Kim Krogh Andersen, Product & Technology Group Executive at Telstra
Without responsible AI, can multi-agent systems truly scale?
Lisa Bechtold, Zurich Insurance’s Global Head of AI Governance | Amir Banifatemi, Cognizant’s Chief Responsible AI Officer
The evolution of AI agents: The past and the present (Part 1)
Adam Cheyer, VP of AI Experience at Airbnb and Co-Founder of Siri | Babak Hodjat, CTO of AI at Cognizant
Let's build
Agentic AI should do more than automate tasks. It should help orchestrate work across systems, teams and decisions. Tell us the outcome you need to achieve, and Cognizant will help you build agentic systems that can reason, act and operate within the realities of your enterprise.