Peter, While the Agentic AI is a valuable step, it is not my view that it is the GenAI 2.0. I have yet to see a GenAI use case that create significant business value (I think of it as making front office value creation versus back office). And the primary use cases are augmenting or replacing human created tasks. GenAI 2.0 is about integrating newer deep learning algorithms on top of the transformer algorithm.. thoughts?
Product Management Leader | Vice President / Senior Director | SaaS | FinTech | GenAI | I build innovative products that delight customers and win global markets.
AI Agent Usage - Growing Fast and Providing Meaningful Results.
AI is shifting extremely quickly from its initial use cases to taking more meaningful actions. Generative AI and AI agents are transforming businesses by automating tasks, making smarter decisions, and driving innovation. This next step in AI technology is opening doors to improved efficiency and new opportunities.
Check out this read from: EY Insights.
https://lnkd.in/e4MeK8E3
Note, this is not new it is only accelerating and at a rate in which it has begun providing real business efficiency results.
#ey#GenAI#AI#Agents#Agentics
#GenAI is evolving from simply providing answers to driving real action. In this article, you'll learn how #AI agents are bridging this gap, pushing boundaries of innovation and execution.
#AI is advancing from providing answers to taking real action, transforming how businesses operate. My colleagues, Dan Diasio and Sinclair Schuller share how AI agents can turn #GenAI into a force for execution and efficiency:
GenAI is quickly evolving into Agentic AI, a powerful combination of AI and automation designed to drive better ROI and make a significant business impact. Agentic AI is paving the way for autonomous business operations, shifting the focus from time-consuming manual tasks to more value-added work.
A great article by Dan Diasio and Sinclair Schuller offers an insightful demystification of Agentic AI for enterprises, highlighting its potential and practical applications.
Interested in learning more about how Agentic AI can transform your business? Reach out to us to discover the possibilities! EY #EY.ai
Global Artificial Intelligence Leader at EY Consulting
At EY, we spend a lot of time exploring the different applications and usage patterns of #GenAI across our business. And you can't do this without engaging in the topic of Agentic Workflows.
But what are the different characteristics that #AI Agents can take on across the organization? In the attached article, my friend Sinclair Schuller and I explore the different characteristics of an AI agent, and what organizations can do to prepare themselves for autonomous at scale.
https://lnkd.in/eU8TajYZ
Fascinating read about the. Development of AI bringing it to the next level of productivity. Impact on mass client /infrastructure clients becomes pervasive and strengthens the need to re-invent.
Global Artificial Intelligence Leader at EY Consulting
At EY, we spend a lot of time exploring the different applications and usage patterns of #GenAI across our business. And you can't do this without engaging in the topic of Agentic Workflows.
But what are the different characteristics that #AI Agents can take on across the organization? In the attached article, my friend Sinclair Schuller and I explore the different characteristics of an AI agent, and what organizations can do to prepare themselves for autonomous at scale.
https://lnkd.in/eU8TajYZ
Have gotten a lot of pings about my last post re:Agents are the new App Tier. For those who are interested in exploring more, take a read of the this writeup and taxonomy from Dan & Sinclair (two of the best minds in enterprise AI) on how Agents will begin to reshape the fabric of every business.
Honestly, there is a lot of hype & press about so called "agents" that are really just RAG posing as agents. This taxonomy is important to understand and we expect a maturation to full atonomous agents (both virtual & physical) over time. Let us know if you have a different perspective. Glad to have the discussion.
Global Artificial Intelligence Leader at EY Consulting
At EY, we spend a lot of time exploring the different applications and usage patterns of #GenAI across our business. And you can't do this without engaging in the topic of Agentic Workflows.
But what are the different characteristics that #AI Agents can take on across the organization? In the attached article, my friend Sinclair Schuller and I explore the different characteristics of an AI agent, and what organizations can do to prepare themselves for autonomous at scale.
https://lnkd.in/eU8TajYZ
The advent of GenAI introduces the potential for AI agents to autonomously initiate and execute tasks based on environmental changes, aiming to achieve specific goals without constant human direction. Here's how #AI agents will take #GenAI technology from answers to actions. https://ow.ly/nKih30sI2JV
As Agentic AI advances, it's increasingly crucial for organisations to establish and continually update their AI policies and guidelines to ensure responsible development and deployment practices are followed and keep pace with the new the evolving technology.
#ResponsibleAI#AgenticAI#EthicalAI
Global Artificial Intelligence Leader at EY Consulting
At EY, we spend a lot of time exploring the different applications and usage patterns of #GenAI across our business. And you can't do this without engaging in the topic of Agentic Workflows.
But what are the different characteristics that #AI Agents can take on across the organization? In the attached article, my friend Sinclair Schuller and I explore the different characteristics of an AI agent, and what organizations can do to prepare themselves for autonomous at scale.
https://lnkd.in/eU8TajYZ
Technology Offering Leadership in AI/ML | IoT | Cloud AI/ML | GenAI/LLM
1moPeter, While the Agentic AI is a valuable step, it is not my view that it is the GenAI 2.0. I have yet to see a GenAI use case that create significant business value (I think of it as making front office value creation versus back office). And the primary use cases are augmenting or replacing human created tasks. GenAI 2.0 is about integrating newer deep learning algorithms on top of the transformer algorithm.. thoughts?