Skills
About
Anisha is seasoned Sr. Technical Program Leader with brand pedigree at NVIDIA, SAP and Capgemini. She has 9+ years of experience in Digital Transformation, AI and Program Management, Consulting and Finance business processes. Anisha is a published author for the book 'Hello AI Transformation'. She is a Univ of California Berkeley Skydeck program mentor for startups, a Forbes Technology Council influencer and a Fast Company executive board member. Anisha has also been featured in the Dallas Business Journal as ‘Under 40 Top Achiever’ and she has also been featured at Times Square for her thought leadership on Digital Transformation and AI Strategy. Anisha is a global speaker and has been invited by professional platforms and various universities. She has been on business strategy, business models, digital transformation to enhance product value, product design and roll out. She has mentored 250+ young professionals and students. Anisha graduated Summa cum laude and was a Class Valedictorian for her M.S. degree in IT and Management. She also holds a Master’s degree in Commerce. She has led multiple transformation projects, both in private and government agencies and is certified in AI, PMP, SAFe, Scrum, ITIL and Cloud. Anisha is a strong believer in empowering budding professionals and students with the knowledge and guidance to become successful in their chosen careers and become impactful leaders. She enjoys helping and “giving back” is a value that keeps her going. She shares her experiences and learnings freely with others and get to know their experiences fostering mutual growth and building a larger family of professionals. She enjoys art and literature, and her favorite sport is American Football. She is an ardent fan of the Kansas City Chiefs and Patrick Mahomes.
Anisha Manvatkar
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.
expert panel
AI transformation rarely happens in isolation, often unfolding alongside broader digital modernization, cultural shifts and evolving business models. The challenge for senior leaders is not just deciding what to implement, but when and how fast. Poor sequencing can overwhelm teams, stall progress and create what many now call “pilot purgatory.” Insights from the Senior Executive AI Think Tank—a curated group of experts in machine learning, generative AI and enterprise-scale transformation—prove that momentum is not about speed alone. It’s about sequencing initiatives in a way that aligns with human capacity, organizational readiness and measurable value. A recent Forbes analysis on barriers to AI adoption highlights that many organizations struggle to fully integrate AI despite its promise, citing leadership inertia, skills gaps and unclear implementation strategies as persistent obstacles. In other words, the gap is rarely about the technology itself—it’s about how initiatives are staged, scaled and absorbed across the business. The following perspectives from Think Tank members offer an actionable roadmap for sequencing AI initiatives in a way that sustains momentum without overwhelming teams.