How Generative AI and Large Action Models Will Transform the Way We Work
Webinar Speaker: James Kobielus, Senior Research Director for Data Management
Date: Wednesday, October 9, 2024
Time: 9:00 a.m. PT / 12:00 p.m. ET
AI is driving innovation in every aspect of our lives, including the business process automation platforms upon which modern business depends.
Generative AI has come to the process automation arena in a big way. Next-generation automation platforms are leveraging generative AI to drive greater agility, adaptability, and efficiency in the development of process logic. One promising new generative AI approach is the “large action model (LAM).” In much the same way that large language models (LLMs) generate text, images, and audio, LAMs generate actions to automate complex tasks and business processes—such as invoice processing, contract management, and employee expense auditing.
In this webinar, TDWI senior research director James Kobielus will discuss the business process automation market, how AI is being adopted in this arena, and how generative approaches such as LAMs offer a fresh new paradigm for automating complex processes faster, cheaper, and more scalably than has been possible with traditional approaches. He will be joined by Orby CTO and co-founder, Will Lu, and Saurabh Shukla from Databricks in a panel in which they will discuss:
- How successful enterprise digital business transformation depends on fast, flexible, efficient, and adaptive process automation platforms
- How enterprise transformation initiatives are impeded by the limitations and constraints of robotic process automation and other traditional approaches
- How generative AI—in particular, LAMs—can enable new automations at a level of complexity and scale that surpasses traditional approaches
- How LAMs automatically learn a complex business process, generate recommended process scripts and code, and engage with process engineers who can activate or reject the recommendations
- How enterprise process automation professionals can use LAMs to automate manual, error-prone tasks
- How early adopters of LAMs in finance, legal, and other industries are using LAMs to power successful process automation initiatives
Date: October 9, 2024
Time: 12:00 pm PT
James Kobielus