Andreas Welsch
Chief AI Strategist, Intelligence Briefing
How RPA’s Comeback Will Again Propel The Automation Of IT Landscapes — Powered By Multi-Modal AI Models
Copyright: intelligencebriefing.substack.com – “AI Agents: Making RPA The Cool Kid On The Block Again?”
2024 has been off to a great start for Generative AI. From new hardware to new models, new opportunities, and new challenges, the first quarter has had a lot to offer; the last five quarters have been a remarkable journey between hype and hope.
After all, AI was headed towards its next winter in the fall of 2022. Back then, it seemed like Robotic Process Automation (RPA) would be the new winner in the enterprise technology stack. Many IT departments and industry observers saw the benefit of automating tasks across siloed systems and brittle integration, which doesn’t rely on clean data and accurate predictions. Instead of moving to the next AI ice age, the industry hit the turbo and went into overdrive, and Generative AI has become the cool kid on the block. But how long will it last?
Enterprise landscapes and IT organizations have not radically changed their approach to adopting innovation within the last 18 months. They are still a fabric of historically grown systems, tools, and processes that are fragmented and challenging to adapt quickly. That is one of the reasons why the media already sees the first signs of the AI hype deflating. But recent advancements in AI give a glimpse at what’s to come first: agents.
Between Bots and Agents for Process Automation
Agents are software components that can perform relatively complex tasks under uncertainty. That means a user wants their application to perform a task but doesn’t (need to) provide step-by-step instructions on achieving that objective. What characterizes these tasks is that they require more than a straightforward step. The agent must understand and disseminate the request (reason what to do), split it into multiple subtasks (so-called experts), and get and assemble the answers to complete the original objective. Whether a user directly instructs an agent or the application uses agents behind the scenes is secondary.[…]
Read more: www.intelligencebriefing.substack.com
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Andreas Welsch
Chief AI Strategist, Intelligence Briefing
Andreas Welsch is an internationally recognized AI leader in the software industry with over 21 years of experience. Andreas has led regional business development teams for AI, built and led an AI Center of Excellence, and currently leads product marketing and go-to-market strategy for AI at SAP, the world’s leading business application provider. He has successfully managed stakeholder relationships with business leaders and technology teams across Fortune 500 companies in more than 80 innovation projects, and helped create an AI mindset across organizations.
Andreas is best known as the creator of the Intelligence Briefing series on LinkedIn and the popular “What’s the BUZZ?” live stream and podcast. He is a frequent keynote speaker and guest on expert panels and podcasts.
Industry focus: High Tech
Previous awards by SwissCognitive:
How RPA’s Comeback Will Again Propel The Automation Of IT Landscapes — Powered By Multi-Modal AI Models
Copyright: intelligencebriefing.substack.com – “AI Agents: Making RPA The Cool Kid On The Block Again?”
2024 has been off to a great start for Generative AI. From new hardware to new models, new opportunities, and new challenges, the first quarter has had a lot to offer; the last five quarters have been a remarkable journey between hype and hope.
After all, AI was headed towards its next winter in the fall of 2022. Back then, it seemed like Robotic Process Automation (RPA) would be the new winner in the enterprise technology stack. Many IT departments and industry observers saw the benefit of automating tasks across siloed systems and brittle integration, which doesn’t rely on clean data and accurate predictions. Instead of moving to the next AI ice age, the industry hit the turbo and went into overdrive, and Generative AI has become the cool kid on the block. But how long will it last?
Enterprise landscapes and IT organizations have not radically changed their approach to adopting innovation within the last 18 months. They are still a fabric of historically grown systems, tools, and processes that are fragmented and challenging to adapt quickly. That is one of the reasons why the media already sees the first signs of the AI hype deflating1. But recent advancements in AI give a glimpse at what’s to come first: agents.
Between Bots and Agents for Process Automation
Agents are software components that can perform relatively complex tasks under uncertainty. That means a user wants their application to perform a task but doesn’t (need to) provide step-by-step instructions on achieving that objective. What characterizes these tasks is that they require more than a straightforward step. The agent must understand and disseminate the request (reason what to do), split it into multiple subtasks (so-called experts), and get and assemble the answers to complete the original objective. Whether a user directly instructs an agent or the application uses agents behind the scenes is secondary.[…]
Read more: www.intelligencebriefing.substack.com
Thank you for reading this post, don't forget to subscribe to our AI NAVIGATOR!
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