Tag: Agents
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Customer Experience Automation: Boosting Engagement & Efficiency – 2025-05-12
Channel: IBM Date Published: 2025-05-12 Summary Customer Experience Automation (CXA) leverages technology to automate and enhance customer interactions across the entire customer lifecycle, spanning various channels like web, mobile, social media, chat, email, and call centers. It aims to deliver consistent, high-quality, and personalized experiences. CXA depends on four interconnected processes: orchestration (mapping the customer…
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AI agents: Not just faster but smarter – 2025-06-24
Channel: IBM Date Published: 2025-06-24 Summary The speaker argues that many businesses mistakenly prioritize productivity as the ultimate goal, focusing on output-based metrics like deal closures and revenue per customer. This narrow focus causes them to miss the larger transformative potential of AI, such as creating entirely new business lines. Instead of solely concentrating on…
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5 Types of AI Agents: Autonomous Functions & Real-World Applications – 2024-05-02
Channel: IBM Technology Date Published: 2024-05-02 Summary This video explains the five main types of AI agents, differentiating them based on their intelligence, decision-making processes, and interaction with their environments. It begins with the simple reflex agent, which follows predefined rules like a thermostat, reacting to immediate conditions without memory. Next, the model-based reflex agent…
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Context Engineering vs. Prompt Engineering: Smarter AI with RAG & Agents – 2025-08-18
Channel: IBM Technology Date Published: 2025-08-18 Summary The video differentiates between prompt engineering and context engineering in the realm of large language models (LLMs) and agentic AI. Prompt engineering involves crafting the input text (prompts) to steer the LLM’s behavior, while context engineering is a broader discipline that encompasses programmatically assembling everything the LLM sees…
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MCP in Action: Revolutionizing AI Agent Integration – 2025-07-29
Channel: IBM Technology Date Published: 2025-07-29 Summary The Model Context Protocol (MCP) is presented as a transformative technology that standardizes the way AI models interact with various tools and APIs, likening it to a universal interface (USB-C) for AI agents. It eliminates the need for custom integrations, simplifying the connection of AI models to repositories,…
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The State Of AI Agents, 2024
Author: Rowan Curran Date: 2024-05-15 Summary The report outlines the current state and future trajectory of AI agents, characterizing them as an emerging but rapidly evolving enterprise technology. Early implementations showcase impressive capabilities in agentic workflows, dynamic tool use, and autonomous decision-making, which are being tested or piloted in forward-looking businesses across industries. However, AI…