Anil K. Pantangi is an award-winning global product and technology leader with over 15 years of experience in architecting and scaling enterprise platforms and consumer-grade products for industry giants such as Amazon and Capgemini. He specializes in translating complex AI/ML capabilities, including conversational search, recommendation systems, and Generative AI, into tangible business outcomes.
A proven leader in building and guiding high-performing teams, Pantangi has driven significant data and AI-powered advancements in marketing, sales, talent development, and customer care platforms across the telecom, media, and ed-tech sectors. Recognized as a “Top AI 75” honoree and a “Global Ambassador” for a leading analytics firm, his thought leadership is globally acknowledged. He is passionate about nurturing the next generation of innovators, actively advising and mentoring talent in the fields of product management and AI.
Pantangi is an official member of the Forbes Technology Council and contributes to the industry through his expert opinion pieces and writings.
Given his background and growing presence in the industry, we sought out Pantangi for the following interview.
Question: How did you break into technology?
Answer: My break nto technology began with an affinity for math and science in school. I was fortunate to have extraordinary teachers in middle and high school who made math and science both approachable and engaging. That experience gave me confidence early on, and by the time I hit engineering school, I was already in the world of problem-solving and systems thinking.
However, my real start was with my first job at IBM in the telecom area, where I specialized in service assurance and resilience. Within my first three months, I was named the lead for environment and build management. I inherited the responsibility of compiling and deploying software programs on servers located worldwide. It was a moment in my career that was magical because I realized at a young age that I could have an impact on large distributed systems that impacted millions of people. This exposure to scale, ownership, and responsibility gave me a framework for the rest of my career.
Q: What is your current role at Capgemini?
A: I am currently a Senior Delivery Leader in the Global AI and Analytics practice at Capgemini, and I lead global delivery teams of Enterprise Architects, Gen AI Architects, engineers, and analysts. We partner with enterprise clients to address some of their key challenges, whether it is modernizing legacy systems, consolidating applications, or integrating innovative AI into their workflows. In addition to leading delivery, I engage at the CXO level, helping to shape strategy, accelerate execution, and galvanize both business line and shared services teams around tangible results. I work across several industries, with a focus on generating enterprise value using AI, rather than just automating processes. I am especially proud of the programs we’ve developed to help clients reduce their IT footprint costs, worth millions, while simultaneously enhancing employee and customer experiences.
Q: Tell about your participation in the Emerging CAF Program.
A: I am genuinely excited to be a part of this community. Data architecture, which has always been foundational to solid enterprise design, is even more critical now with the rapid growth of AI and the challenge of handling both structured and unstructured data at scale.
I intend to share ideas about practical frameworks for managing uncertainty in AI projects as I further engage with the program, particularly as it relates to large enterprises. I’m excited to contribute reference architectures that facilitate the transition from experimentation to reliable, enterprise-grade deployments. CAF is a fantastic collaborative space where peers can learn from one another while helping to construct best practices, both based on the experiences we all encounter and the common challenges we face.
Q: What technology trends are you watching and why?
A: Other than the usual excitement you have around new technologies, I find myself often reminding leaders or emerging talent always to keep customer value as their north star before they rush to chase the latest shiny AI trend – pun intended. What we call technology only has meaning if it fixes problems for people.
That being said, there are a few trends that I keep an eye on. Firstly, I am interested in Generative AI and Internet of Agents, particularly their applications toward efficiency and new forms of value creation. I envision this creating a foundational shift in how we work, both as individuals and enterprises.
Secondly, I keep a close eye on application rationalization. Many enterprises continue to feel the effects of technical debt, so helping organizations rationalize their IT ecosystems is crucial to enabling them to regain agility and return to innovation.
Finally, I have a cautious optimism for quantum computing. I know we are still in the early stages, but I am interested in seeing how it develops, particularly in terms of optimization problems and data security. However, for now, I am focused on helping enterprises create immediate, tangible value from technology that is maturing, evolving, and rapidly developing.