As AI continues to evolve and develop, the question of whether to buy or to build AI platforms becomes more complicated. Building AI allows you more control of your data and the ability to customize the platform as required, but, both the in-house development, and the maintenance and management of these platforms can be extremely costly and fraught with risk. This case study will explore how Goldman Sachs has dealt with this dilemma, examining the work they are doing right now to ensure they are delivering a unique approach to AI-driven customer experience.

·       Analyze the pros and cons of building vs. buying AI platforms in financial services to determine the best approach for your organization’s needs

·       Gain insights into Goldman Sachs' decision-making process for AI adoption to understand how industry leaders navigate complex AI implementation challenges

·       Learn strategies to balance control, customization, cost and risk when deciding whether to develop AI in-house or purchase third-party solutions, ensuring a market-leading quality of service