A Framework for Making GenAI Build/Buy/Partner Strategic Decisions
In the rapidly evolving landscape of Generative Artificial Intelligence (GenAI), organizations are faced with critical decisions on how to invest their resources wisely. This talk introduces a comprehensive framework—Build/Buy/Partner—that serves as a strategic guide for organizations aiming to optimize the value derived from their GenAI investments.
The framework is structured to assist decision-makers in evaluating the most effective approach based on the specific needs and capabilities of their organization. The 'Build' component explores the in-house development of GenAI solutions, considering factors such as customization, proprietary requirements, and long-term control. Conversely, the 'Buy' aspect delves into the procurement of pre-existing GenAI solutions, examining considerations like time-to-market, cost-effectiveness, and immediate functionality. Lastly, the 'Partner' dimension addresses collaborative ventures with external entities, emphasizing the benefits of pooling resources, accessing specialized expertise, and mitigating risks.
Through industry best practices, this presentation will provide insights into the nuanced decision-making processes associated with each approach within the Build/Buy/Partner framework. Attendees will gain a deep understanding of how to align their organization's goals with the most suitable strategy, ensuring that every GenAI dollar is strategically invested for maximum value.
In conclusion, this talk aims to equip participants with a versatile decision-making tool that facilitates nuanced choices in the complex landscape of GenAI investments. By exploring the intricacies of building, buying, and partnering, organizations can navigate the dynamic GenAI market with confidence, optimizing their investments and securing a competitive edge in the era of artificial intelligence.
Sudeep Kesh is the Chief Innovation Officer for S&P Global Ratings. His team is responsible for research, development, and training programs in the realm of Emerging Risk, primarily focused on digital risks like Cyber, Artificial Intelligence, and Technology Disruption, the interplay between these and financial markets, and implications to the evolving risk landscape more broadly. Additionally, Sudeep leads the Technology Disruption Research Lab across S&P Global where he leads analysts in research and thought leadership across the enterprise, most recently launching S&P Global’s Artificial Intelligence Insights (www.spglobal.ai). Sudeep has also led award-winning training programs to help galvanize analysts’ thinking across the globe in these matters. In prior roles, Sudeep has led a global team of credit research and economics professionals to author well-regarded, award-winning research on various credit research topics. Sudeep holds a BSc in Management Science from the Rochester Institute of Technology and an MBA from Binghamton University.