LLM Economics - A Guide to Generative AI Implementation Cost with Neeraj Pratap

In this week’s CDO insights we have with us Neeraj Pratap who is the CEO of Hansa Cequity, India's leading CX service provider. He's a problem solver at the intersection of marketing and technology, focusing on top-notch solutions for businesses. With experience in marketing, brand building, and digital marketing, Neeraj has worked on projects for major companies like Mahindra & Mahindra, HDFC, Raymond, and more. He also runs CXM Lab, a platform for sharing insights and tools for marketers and tech leaders. Neeraj holds an MBA from UCLA Anderson School of Management and is passionate about Behavioral Science. He's certified by the Institute of Data & Marketing, London, and the Rotman School of Management, Toronto.

Neeraj delves into the critical topic of Generative AI which while it presents numerous opportunities, its implementation is far from straightforward. Understanding the balance between costs and benefits is vital for achieving optimal ROI. The interview discusses various cost components including infrastructure, data acquisition, talent, and maintenance, providing valuable insights for organizations considering AI adoption.

AIM: What made you specifically want to collaborate on this report, which scrutinizes the cost aspects of implementing generative AI in business infrastructures?
Neeraj Pratap: Hansa Cequity has always been at the forefront of driving innovation and application of new technologies. After having served some of the biggest brands in BFSI, Auto, Retail, Home building and Pharma we have also understood the relevance of differentiating hype from relevance. We have built a customer-centric, tech agnostic, integrated services company that takes pride in providing the most relevant, the latest, and cost-effective solutions. In this context it was only natural for us to understand better and help our clients take more informed decisions in the context of Generative AI.

AIM: How can tech companies use the reports and insights to guide their strategic planning and decision-making, especially in optimizing costs associated with generative AI adoption?
Neeraj Pratap: This report, in collaboration with AIM Research has been painstakingly put together with deep and extensive conversations with industry experts and C-suite executives. It throws light on the evolving landscape of generative AI, offers critical insights into the complexities and variables that influence implementation costs in today’s dynamic economic climate. The Report provides a roadmap for implementation of Generative AI. It showcases a case study approach to Generative AI in MarTech lifecycle management, cost Analysis and cost reduction. All of this put together will help organisations in optimizing costs associated with its adoption.