• AI has transformed from an emerging idea to a defining force that is reshaping how we discover, develop and deliver therapies for patients
• At AstraZeneca, we are transforming end-to-end clinical development through the implementation of state-of-the-art unimodal and multimodal foundation models reinforce, fine-tuned and augmented by our unique differentiator: our data
• This case study will highlight how AstraZeneca is leveraging an innovation ecosystem and the latest advancements across AI and agentic frameworks to transform patient outcome
• How agentic AI is reshaping Uber’s automation ecosystem, moving from scripted workflows to intelligent, self-optimizing systems.
• Practical lessons on designing, deploying, and governing agent-driven automation that balances autonomy with oversight
• Tangible business outcomes Uber has realized, from reduced operational friction to improved customer and partner experiences
• How agentic AI will transform shopping, procurement, and marketplace interactions through always-on, autonomous decision-making
• The infrastructure, standards, and safeguards needed to enable trustworthy agent-to-agent commercial ecosystems
• What businesses must do today to stay competitive as agent-driven experiences reshape customer expectations and value creation
• Defining what business value means
• Real-world examples across industries: from autonomous customer service agents to dynamic R&D copilots
• What it takes to move from experimentation to production—including data, architecture, and change management
• Best practices for optimizing inferences
• How to measure ROI, value creation, and performance gains in real-world agentic deployments
• Lessons from enterprises that successfully moved from pilot experiments to production-ready agent ecosystems
• Transforming support from reactive to proactive by autonomously identifying customer needs, resolving issues, and escalating intelligently before problems arise.
• Delivering hyper-personalized journeys through contextual reasoning, real-time retrieval, and dynamic decision-making that adapts to each customer’s intent and history.
• Orchestrating end-to-end experiences by coordinating across systems, channels, and data sources to automate complex tasks and create seamless, connected moments that drive loyalty and satisfaction.