Generative AI offers great opportunities for increasing efficiency and enhancing automation. However what is the full potential of this disruptive technology for automating

processes? It is not always an easy task to integrate gen AI into existing processes. In this panel we discuss this topic and focus on:

 Examples of Gen AI implementation such as chat bots for internal support, document summary, customer facing solutions such as call centers and other

 Will Gen AI be augmenting existing processes or disrupting them completely?

 Risks of fully relying of Gen AI for automation

 Is your data ready for the use of Gen AI? Ensuring the right data architecture and governance

 Implemented use cases and lessons learned

 The benefits of using LLMs for decision-making and user assistance

 The challenges of integrating LLMs into larger applications: predictability & maintainability

 A framework to deal with these challenges

In this workshop, participants will delve into the art and science of prompt engineering, a critical skill in developing AI models for intelligent automation. Learn how to craft prompts

that optimize AI performance, increase productivity, and create AI-driven solutions that excel in various real-world scenarios.

 Mastering the Art of Prompt Design: Gain hands-on experience in crafting effective prompts that drive desired outcomes in automation applications, from data extraction to

content generation.

 Improving Task Efficiency: Discover techniques to fine-tune your prompts for intelligent automation, reducing the need for extensive model training and achieving faster results.

 Real-world Applications: Explore practical examples and case studies, demonstrating how prompt engineering can be used to create applications in various industries, including

customer support, content generation, and data analysis