Join me in Orlando on April 13th

AI and digital assistants will soon be managing a lot more work-related tasks. Are you ready for it? Automation adoption has been growing at a rapid pace. Some 60% of CEOs polled for a recent Gartner survey cited AI as the “most industry-impactful technology” over the coming years. For trainers and talent managers: How will this impact your world? Do you understand how it may change the way work is done? Do you understand how it impacts other business functions such as the supply chain, accounting systems, and customer interactions? It’s critical that trainers and talent management understand how to leverage this type of technology to move the company forward.
In this session you will see examples of how AI and bot technology may impact your role as a trainer, how it will impact talent development, and how AI may or not be the right fit for everyone. At a macro lever I will introduce how your overall organization is being impacted by these technologies to become more strategic in your use of it. For example, when companies introduced robotic process automation into their accounting system, the accountants saved on average 60+ hours a week in data processing. What did they do with the extra 60 hours? It allowed them to become more strategic in their analysis of the information pulled from these financial reports. This session will help you understand this technology in a way that removes the “techy” feel of it so you can begin to seek out ways it may streamline your tasks and business outcomes.
In this session you will learn:
- How AI and bots are being used in training and talent management
- How some current automation tools can be used to streamline talent management and training
- How AI and automation will impact everything from recruiting to onboarding, measuring performance gaps, and business impact
- About different tools to experiment with today to get hands-on experience
Intelligent agents such as Siri, Alexa, RPA tools, natural language processing tools, machine learning examples