As organizations begin to harness the power of Generative AI, they encounter both exciting possibilities and pressing challenges, including concerns over Generative AI bias, accuracy, and data security. Meanwhile, scaling automation projects continues to prove a crucial task for industry leaders. Moreover, the horizon of business use cases for Generative AI continues to expand, enabling organizations to navigate the intricate automation technology landscape with greater success. 

Ahead of the Intelligent Automation Exchange USA Fall, we delve into critical aspects of this dynamic landscape, exploring the intriguing realm of Generative AI bias and accuracy, the emerging concerns surrounding Generative AI/data security, scaling automation projects, the countless business use cases for AI/Generative AI, and the ever-evolving automation technology landscape. 

This comprehensive report also includes exclusive commentary from Nikunj Nirmal, Head of Engineering – New Country Expansions, Amazon and John Comas, Senior Vice President, Platform DevOps Automation, Truist, to help you optimize your automation strategy. 

Read more and discover: 

• Generative AI bias and accuracy 
• Generative AI/Data security concerns 
• Scaling automation projects 
• The business use cases for AI/Generative AI 
• The automation technology landscape 

Download the full report here! >>>