Skills
About
Danish Shaikh is an engineering lead with over 12 years of experience building ML/AI solutions for large-scale recommender systems across some of the biggest names in tech — Meta, Twitter, Roku, Alibaba, and Rakuten. Over the course of his career, he has led teams building ML/AI products with surface touchpoints reaching hundreds of millions of users. His current work involves building Agentic AI solutions for Ads Ranking models. Previously, he led ML Infrastructure for Search and Recommendations at Roku — powering ML across all of Roku's product surfaces — and built the ML systems behind Twitter's Recommended Notifications, which served billions of notifications daily. His research interests lie in optimizing architectures for large-scale recommender systems and Agent AI systems for cost-effective, production-scale deployments.
Danish Shaikh
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.