Council Post: The Art of Problem Solving with Data, Analytics & AI - Strategic Approaches

In today's rapidly evolving landscape, mastering the art of problem-solving with data analytics and AI is paramount for organizations seeking to stay ahead. This strategic approach involves harnessing the power of advanced technologies to unlock valuable insights and drive informed decision-making. By integrating data-driven methodologies with strategic thinking, businesses can effectively tackle complex challenges and uncover new opportunities for growth and innovation. Embracing this approach enables organizations to optimize processes, enhance efficiency, and remain competitive in an increasingly data-driven world.

We had a roundtable discussion on the topic with a set of experienced and distinguished leaders in the industry. The session was moderated by Deepika Kaushal, Head-Everyday AI & Digital analytics at Piramal Capital & Housing Finance, along with panelists Biswanath B, Director of Data at Kredivo Group, Bhaskar Roy, Client Partner APAC and Bangalore Center Head at Fractal, Preeti SP, Digital Technology Director, Advanced Analytics at GE Appliances, a Haier company and Itti Singh, Head of Analytics Advisory, DLL at Landmark.

Challenges in Deploying AI Solutions in Large Organizations

In my experience, I've witnessed numerous teams coming together when deploying something meaningful in terms of AI consumption. Problem-solving is one aspect, but adapting the end consumer to it is a whole different ball game. Building a sustainable solution that continuously learns or receives continuous feedback is essential. Additionally, ensuring that it scales up well according to your plans adds to the challenge. Combining these aspects can be challenging because it's comparatively easier to solve any analytical problem in a presentation compared to when it's consumed in real-time on a tech journey.

I think when it comes to problem-solving and bringing people together, especially within a very large organization where various teams operate independently, implementing something that requires a high degree of cross-collaboration can be challenging. It might not be on everyone's radar, and they may not prioritize it. While the CEOs or CXOs may be aligned with the implementation of a particular problem, all the teams below them might not be aligned.