How AI agents will take GenAI technology from answers to actions

What is Gen AI? Generative AI Explained - TechTarget

Generative AI (GenAI) is a type of artificial intelligence technology that can produce various types of content, including text, imagery, audio and synthetic ...

The AI Agents are Coming. 12 Predictions for 2024 - Medium

Agents move beyond content generation to decision making and action taking. A simple AI agent has the ability to interpret high-level ...

ServiceNow AI Agents

AI agents are autonomous systems designed to complete repetitive work that would otherwise need to be done by a human. An AI agent interacts with its ...

Contact Center Generative AI: Use Cases, Risks, & Predictions

Indeed, GenAI can make 'wait time' productive, gathering information before a customer interacts with an agent – such as who is calling and the ...

Deflecting Support Conversations with AI Agents #genai - YouTube

Is your support team drowning in repetitive queries? It's time for a change. ✳ Get up to a 10% discount on your Google Cloud spend: ...

AI Agent for Customer Service: Key Capabilities, Use Cases and ...

A critical aspect of AI agents is their capacity for learning and adaptation. By integrating technologies such as Large Language Models (LLMs), they ...

What Are AI Agents? - IBM

AI agents base their actions on the information they perceive. Often, AI agents do not have the full knowledge base needed for tackling all subtasks within a ...

Ask HN: What are some actual use cases of AI Agents right now?

The last widely used AI tool was facial recognition, a technology widely used in fields such as company clock-ins, access control, surveillance, and more, and ...

Understanding AI Agents in the Context of GenAI - Konverso

“[Intelligent] autonomous agents are the natural endpoint of automation in general. In principle, an agent could be used to automate any other ...

Introduction to GenAI Agents: The Future of Productivity

Unlike traditional chatbots that respond to user inputs with single outputs, AI agents can reason through complex problems, create actionable ...

Sierra - The Conversational AI Platform

“I knew the AI agent would answer questions quickly, but I didn't expect the responses to be so genuine and empathetic.” Read more ...

How AI Agents Could Change Everything : r/ArtificialInteligence

AI agents are software that can make decisions and perform tasks on behalf of users. They use machine learning to handle complex tasks.

Agentic vs copilots: what's the future of GenAI? - TechInformed

This means, rather than responding to prompts a la ChatGPT, agents can make decisions, plan actions, and learn from their experiences, to ...

Generative AI agents in action: Case studies and use cases - Calls9

For instance, Lenovo has revolutionised its customer support by implementing GenAI agents that handle up to 80% of customer queries without human intervention, ...

While the Market Turns Against GenAI, AI Agents are Disrupting the ...

What differentiates genAI agents is how they gather and apply knowledge. Some AI agents, including sprawling LLMs like ChatGPT, take a bottom-up ...

What is Agentic AI? | UiPath

Agentic AI allows these autonomous agents to achieve near-human cognition in many areas, turning them into problem-solving machines that thrive in dynamic ...

Understanding AI Agents: Types, Functions, and More

An AI agent is, in simple words, 'automation with intelligence.' These are hi-tech computer programs that use artificial intelligence to make informed ...

The Breakdown: What are AI agents? - Outshift | Cisco

Planning and reasoning — Once an agent is given a goal, it comes up with a plan and then acts on it to accomplish it. They use planning and ...

Autonomous Agents: A new approach to building GenAI Models

Generative AI is a rapidly growing field with the potential to revolutionize many industries. Generative AI models can be used to create new content, ...

Custom AI solutions: Key tools and strategies for business success

AI agents are a fast-emerging paradigm for effectively utilising LLMs. Rather than just answering questions, agents have special ...