MachineCon 2023

What should we do about GenAI and can we afford to wait ?

That’s the question most CEOs and boards are asking which is causing a swirl of activities in most organizations. Working with clients, academia and hands on building; we have collected a set of learnings that should help data analytics leaders with some pointers.

Generative AI has become the focal point of interest and captivated the attention of business leaders worldwide. While it is a topic of discussion, businesses are actively considering its implementation. However, many companies are facing challenges to conceptualize practical use cases. In this session, we will share real-world examples that are relevant to your organization. We will explore the impact on business, associated risks, technological architecture alternatives, required changes in data processes, and privacy considerations. Boards and executive teams seek answers to these aspects before scaling pilot projects into production. By the end of this session, you will gain insights into the foundational components necessary to actualize Generative AI across your enterprise. You will also have the opportunity to connect with other industry leaders, collectively evaluating the benefits and risks, and working together to shape our perspective about the new future.

On one hand, generative AI presents an opportunity for data teams to innovate and create value. The technology can assist in data augmentation, improve data privacy, and provide tools for exploring hypothetical scenarios and solutions. However, it also raises challenges in terms of data integrity, authenticity, and ethical considerations. The talk will further examine these threats, such as the potential for data manipulation, the rise of deepfakes, and the risk of bias in generated data. Alongside, it will address strategies for harnessing the power of generative AI effectively while mitigating its associated risks. The session aims to equip data professionals with insights on how to adapt to this new AI frontier and leverage it to drive their data strategy.