Driving Enterprise Change with Generative AI: Best Practices and Case Studies
At the upcoming Generative AI for Enterprise event, one of the key panel discussions will focus on the critical role of change management in driving the successful adoption of generative AI technologies across the enterprise. As organizations increasingly look to leverage the power of AI to enhance their operations, customer experience, and workforce capabilities, the need to align technology, processes, and people becomes even more important.
The panel discussion as a part of Generative AI for Enterprise (27 September | Melbourne) will be moderated by leading experts in change management, who will share insights on how organizations can develop their technology, process, and people roadmap for generative AI adoption. Panel members include Devi Rajoomarsing, Senior Manager Enterprise Change and Transformation; Fahad Zulfiqar, Service Integration Manager/ Sub Program Manager at Nestle; and Mel Faeghy, Director of Personalised Services at Service NSW.
During the panel discussion, attendees can expect to learn about the following topics:
Overview of the current technology landscape: As organizations evaluate the potential use cases for generative AI, it is critical to understand the tools and platforms that are available to them. The panel will discuss the current state of the technology landscape and highlight areas where generative AI can be most effective. Identifying the best use cases for generative AI: While there are many potential use cases for generative AI across the enterprise, not all applications will be equally effective. The panel will share insights on how to identify the best use cases for generative AI, based on business needs, data availability, and technical feasibility.
Engaging in change management to support adoption: Successful generative AI adoption requires a comprehensive change management strategy that addresses the concerns and challenges of stakeholders across the enterprise. The panel will discuss best practices for engaging in change management and ensuring that team members are adequately supported in their adoption of generative AI technologies.
Providing insights more quickly: Generative AI has the potential to transform the way that organizations generate insights and make decisions. The panel will share insights on how generative AI can be used to provide insights more quickly, enabling organizations to respond more effectively to changing market conditions and customer needs.
Developing leadership capabilities to cut through complexity: Finally, the panel will discuss the importance of developing strong leadership capabilities to navigate the complexity of generative AI adoption. As organizations look to drive change and impact with generative AI, it is essential to have leaders who can motivate and inspire their teams through periods of constant change and technological disruption.
According to recent research, the global generative AI market is expected to grow from $146 million in 2020 to $2.2 billion by 2026, at a CAGR of 44.9%. This underscores the increasing importance of generative AI as a key driver of digital transformation across industries. As organizations look to leverage the power of generative AI to enhance their operations and customer experience, it is essential to have a comprehensive change management strategy in place that aligns technology, processes, and people.
Join this panel discussion plus much more on Driving Enterprise Change and Impact with Generative AI promises to be a valuable source of insights and best practices for organizations looking to adopt generative AI technologies.
Attendees will gain a better understanding of the current technology landscape, learn how to identify the best use cases for generative AI, and explore strategies for engaging in change management and developing strong leadership capabilities. Check out the summit speakers here!
