The Art of Knowledge

Fun fact: the sun produces about 380 septillion watts per second. To put that number in perspective, that number is equivalent to one trillion trillion. While we have started to harness solar energy for electricity, if we could capture the sun's full potential for just one second, the planet could be energy independent for hundreds of thousands of years. Yet energy production is nowhere near that level of efficiency. The reality of global energy production is a well-loved example for Booth alumni Prem Tadipatri, MBA ’15. Because to Tadipatri, AI faces the same challenge of immense untapped potential. 

Named among H2O.ai’s Global Top 100 AI Leaders in the Innovators Enterprise Category, Tadipatri blends a strong combination of skills like programming, data, statistics and a fundamental level of business expertise. He navigates AI not just as a technologist but as someone who understands the human side of implementation, and the range of perspectives necessary to implement change. 

Now the Managing Director and the CTO of AI, Data & Strategic Solutions at UBS Wealth Management Americas, Tadipatri stays relentlessly current, even building his own AI agent to generate daily newsletters just to keep up with AI’s rapid evolution. But he’s not just watching from the sidelines. As a hands-on manager, he has experience pulling together the complex pieces of business systems and using LLMs to create attention-grabbing solutions to inefficiencies.

His approach? Understanding that AI’s potential doesn’t lie in the technology itself, but in knowing how to ask the right questions. 

Founded on Business

Even before LLMs became commonplace, Tadipatri was tinkering with to how to put them into practice. In his earlier roles focused on risk and revenue, his valuations of organization priorities guided strategic decision making. While others were just wrapping their minds around AI, he was automating business processes with simple algorithms and reducing the resources needed to sign off on revenue decisions.

"There are statistics, there is data, and then there is the functional nature of financial services," he explained. "Using AI is about bringing them all together and connecting the dots across an organization to implement ideas at a larger scale."

Tadipatri arrived at Booth already equipped with a strong foundation in finance and programming. From there, the characteristically Booth focus on statistics and data-driven decision-making refined his ability to contextualize small decisions within larger financial markets, driving exponential innovation. 

The Art of Applied AI

As widely available as AI tools have become, there is ambiguity around the definition of ‘Applied AI.’ What is the difference between using the tool and applying it? Tadipatri’s insight on this was clear: “You can’t just apply AI blindly. You need domain expertise to ask the right questions and apply AI meaningfully within that context.”

Take wealth management, as an example. Fundamentally an advisory business, the goal is to understand client needs. But understanding what advisors need (training the trainer) is where AI can be applied to pinpoint opportunities for refined efficiency. 

Taking his own advice, Tadipatri reflected on his own domain-specific expertise and how it helped him harness AI to automate technical processes, freeing advisors to focus on more nuanced efforts like client relationship management. With the ability to create a 360-degree view of each client, AI agents support advisors in making more personalized recommendations. The technology doesn't replace the human element, it amplifies it.

His approach is rooted in empathy-based implementation: understanding multiple perspectives to move everything in one forward direction. But he also points to a broader shift appearing in how we create and learn. 

“We’re entering an era of synthesis,” he explains. “Historically, polymaths like Leonardo da Vinci had to build knowledge from the ground up. Today, with LLMs and vast information systems, people can operate across multiple domains simultaneously. You don't need to start from scratch anymore. It's really about connecting the dots and maximizing the resources available to you."

Part of that shift is economic, as the cost of production approaches zero. “Think about Kodak's original business model—it used to cost a dollar to take a picture," Tadipatri says. "Now, the marginal cost of taking, storing, and sharing an image is virtually zero." This trend makes creation more accessible to a wider range of people, as knowledge sits at our fingertips. The challenge, he notes, is that many people do not yet know how to properly use AI.

For those who do, however, the opportunities border on endless. In the next few years, Tadipatri expects we will witness disruptions across healthcare, energy, and human development. Applications and systems that once took years to build now take hours, and resources that once seemed out of reach become accessible, allowing for new approaches to maximizing efficiency in ways we may have not yet imagined.

Ahead of the Pulse

"Change is inevitable. Progress is not," offered Tadipatri as future-oriented guidance. 

The speed at which AI develops leads to a faster rate of change and adoption within the workplace, making staying up to speed with everything that's going on an art in itself. The rate of change coming over the next few years promises to be unprecedented, and he doesn’t think that most people are ready for it. Staying relevant—staying ready—means staying close to the technology. His advice to current and future Booth students is to consider how to incorporate AI to enhance all aspects of your experience. 

But that doesn’t just mean becoming a technologist. It means understanding AI deeply enough to see where it intersects with your field or domain, the problems within it, and the main audience or clients. It is about developing what Tadipatri calls a "product mindset," blending AI's potential with an approach focused on delivering continuous value and solving real pain points.

Now, Booth's new Applied AI concentration is preparing students to understand contextualize new and existing uses of within the context of a shapeshifting business sector. Combined with a generation that already has proximity to these tools, students are uniquely positioned to become what Tadipatri embodies: a "one-person unicorn" who can connect the dots others miss.

AI’s potential remains largely untapped, but for those willing to learn how to harness it, it begins with the right questions and a foundation of real understanding. As Tadipatri puts it: we are still at the beginning.