Skills
About
Manu Agrawal is a technology leader specializing in enterprise AI systems, agentic workflows, multimodal AI infrastructure, and large-scale distributed platforms across healthcare and cloud computing. She currently leads GenAI, privacy, trust, and agentic AI platform initiatives at Oracle Health & Life Sciences, focusing on governed autonomous systems, orchestration frameworks, retrieval infrastructure, and trustworthy AI deployment in highly regulated environments. Prior to Oracle, Manu held senior engineering leadership roles at Amazon Web Services across Amazon Bedrock, Rekognition, Textract, CloudFront, and Amazon Global Accelerator. Her work spans enterprise AI governance, multi-agent runtime systems, distributed execution frameworks, healthcare AI systems, and operational AI deployment at scale.
Manu Agrawal
Published content

expert panel
Artificial intelligence remains one of the most consequential forces reshaping business, yet many organizations still struggle to distinguish meaningful breakthroughs from attention-grabbing headlines. While public discussion often centers on increasingly powerful models, digital assistants and speculation about artificial general intelligence, many enterprise leaders are discovering that the most transformative AI developments occur behind the scenes.Ask 10 AI experts what will matter most a year from now, and you might expect 10 different answers. Instead, members of the Senior Executive AI Think Tank—a curated group of experts specializing in machine learning, generative AI and enterprise AI applications—arrived at a strikingly similar conclusion: The biggest opportunities—and risks—aren't tied to the next model release. Across industries, they point to the infrastructure that makes AI useful in practice, from governance and security to evaluation, trust and workflow integration. At the same time, many are skeptical of some of today's loudest predictions, particularly around fully autonomous agents replacing human judgment at scale.As recent research from McKinsey suggests, organizations are increasingly finding that AI success depends less on access to cutting-edge models and more on the ability to operationalize them effectively. The experts featured here—those on the front lines of AI innovation—share the developments they believe leaders are underestimating, the trends they think are overhyped and where executives should be investing now to create lasting competitive advantage.
Company details
Oracle
Company bio
Oracle Health & Life Sciences develops enterprise healthcare infrastructure, healthcare AI systems, clinical platforms, and large-scale data and AI technologies used by healthcare providers, public-sector healthcare organizations, and life sciences ecosystems globally. The organization focuses on operationalizing trustworthy AI systems, healthcare data interoperability, multimodal AI infrastructure, and governed autonomous systems in highly regulated healthcare environments.
