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Tag: Agentic AI

  • Agentic AI Workflow Tutorial for Beginners: Building a Smart Customer Service Assistant

    Agentic AI Workflow Tutorial for Beginners (Expanded) Welcome to the exciting world of Agentic AI! This expanded tutorial will delve deeper into the core concepts and provide more detailed explanations for each component, including illustrative (but not executable) code snippets and conceptual datasets. We’ll continue with our goal of building a basic Smart Customer Service… Read more

  • Top 25 Use Cases for Agentic AI in Health Insurance

    Top 25 Use Cases for Agentic AI in Health Insurance Agentic AI, with its ability to reason, plan, and execute tasks autonomously or semi-autonomously, is poised to transform the complex and often challenging landscape of health insurance. These intelligent agents can navigate vast datasets, interact with multiple stakeholders, and proactively manage processes, leading to significant… Read more

  • Top 25 Use Cases for Agentic AI in Property Insurance

    Top 25 Use Cases for Agentic AI in Property Insurance Agentic AI, with its capacity for autonomous reasoning, planning, and execution, is set to redefine the property insurance landscape. Beyond mere automation, these intelligent agents can manage complex workflows, learn from dynamic environments, and interact proactively, offering unprecedented efficiency, accuracy, and customer satisfaction. Here are… Read more

  • Top 25 Use Cases for Agentic AI in Retail Banking

    Top 25 Use Cases for Agentic AI in Retail Banking Agentic AI, with its ability to reason, plan, and execute tasks autonomously or semi-autonomously, is poised to revolutionize retail banking. This advanced form of artificial intelligence moves beyond mere data analysis, allowing systems to understand context, set goals, break down complex problems into manageable sub-tasks,… Read more

  • Mosaic AI Agent Framework vs. LangGraph: A Detailed Comparison

    Mosaic AI Agent Framework vs. LangGraph: A Detailed Comparison When building sophisticated AI agents, developers often face a choice between general-purpose frameworks and platform-specific solutions. This comparison will delve into two prominent options: Databricks‘ Mosaic AI Agent Framework and LangGraph (a module of LangChain), highlighting their strengths, weaknesses, and ideal use cases. Both frameworks aim… Read more

  • Detailed Guide to Using Databricks with Agentic AI

    Detailed Guide to Using Databricks with Agentic AI Databricks, with its unified Lakehouse Platform, offers a robust environment for developing, deploying, and managing Agentic AI systems. Agentic AI involves AI models (often Large Language Models – LLMs) that can reason, plan, use tools, and take autonomous actions. This guide will detail how to leverage Databricks… Read more

  • Top 25 Use Cases for Agentic AI in Retail Banking

    Top 25 Use Cases for Agentic AI in Retail Banking Agentic AI, with its capacity for autonomous reasoning, learning, decision-making, and action, is set to redefine the retail banking landscape. It promises not only to streamline operations and bolster security but also to deliver profoundly personalized customer experiences. I. Enhanced Customer Experience & Personalization 1.… Read more

  • Comprehensive List of Best Practices for Agentic AI

    Agentic AI Best Practices Agentic AI represents a significant leap from traditional generative AI, as it imbues models with the ability to act autonomously, make decisions, and pursue goals. This increased agency introduces a new layer of complexity and risk, necessitating a distinct and comprehensive set of best practices. These practices are designed to ensure… Read more

  • Current Buzzwords in Tech (May, 2025)

    Current Buzzwords in Tech (May, 2025) A look at the trending terms in the technology landscape as of May 10, 2025. 1. Artificial Intelligence (AI) and its Subfields Generative AI (GenAI) AI’s ability to create new content like text, images, audio, and code, increasingly integrated into various applications. Details: Advancements in models, multimodal capabilities, ethical… Read more

  • Artificial General Intelligence (AGI) Explained (Detailed)

    Artificial General Intelligence (AGI) Explained for Novices (Detailed) Imagine creating an artificial mind that possesses the full spectrum of human intellectual capabilities – the ability to learn, reason, understand, create, and adapt across a vast range of tasks, just like you and me. This is the ambitious goal behind Artificial General Intelligence (AGI), often also… Read more

  • Agentic AI Explained (Detailed)

    Agentic AI Explained for Novices (Detailed) Imagine a future where AI systems are not just tools waiting for your commands, but intelligent entities that can proactively understand your goals, plan their own actions, and work autonomously to achieve them. This is the vision of Agentic AI, a paradigm shift in artificial intelligence that moves beyond… Read more

  • Explainable AI (XAI) for Novices: A Detailed Explanation with Advancements

    Explainable AI (XAI) for Novices: A Detailed Explanation with Advancements Imagine a super-smart robot that helps you make decisions. Explainable AI (XAI) is about giving that robot the ability to explain its thinking in a way that humans can understand, making the “black box” of AI more transparent. 1. The “Black Box” Problem Powerful AI… Read more

  • Agentic AI: The Critical Role of Explainable AI (XAI)

    Agentic AI: The Critical Role of Explainable AI (XAI) Agentic AI promises a significant evolution in how artificial intelligence systems operate, enabling autonomous, intelligent, and adaptive behavior. However, the full potential and responsible deployment of these powerful systems hinge on our ability to understand their decision-making processes. This is where Explainable AI (XAI) becomes not… Read more

  • Agentic AI for Business Process Management (BPM): A Detailed Exploration

    Agentic AI for Business Process Management (BPM): A Detailed Exploration Agentic AI represents a significant evolution in Business Process Management (BPM), promising a new level of autonomy, intelligence, and adaptability to how organizations manage their workflows. Understanding Agentic AI Agentic AI refers to artificial intelligence entities capable of perceiving, reasoning, acting, and learning autonomously to… Read more

  • Application architecture ideas to secure agentic AI applications

    Application Architecture Ideas to Secure Agentic AI Applications Here are some application architecture ideas specifically designed to enhance the security of agentic AI applications, building upon fundamental security principles. 1. The Guarded Agent Architecture Core Idea: Encapsulate each agent within a secure “guard” component that acts as an intermediary between the agent and the external… Read more

  • Agentic AI Increase Power Consumption Bills? – A Detailed Look

    Energy Costs of LLMs in Agentic AI – Detailed Analysis The integration of Large Language Models (LLMs) into Agentic AI architectures is indeed expected to significantly contribute to higher power consumption bills for enterprises. This stems from the inherent energy demands of LLMs coupled with the continuous and often complex operations required by autonomous agents.… Read more

  • How Banks Are Using Agentic AI and the Challenges

    How Banks Are Using Agentic AI and the Challenges Agentic AI, where AI systems act as autonomous agents capable of perceiving their environment, making decisions, and taking actions to achieve goals, is rapidly transforming various banking operations. Here’s how banks are leveraging this technology: Customer-Facing Applications: Personalized Financial Advice: AI agents analyze customer data, spending… Read more

  • How SAP and Oracle Can Use Agentic AI

    How SAP and Oracle Can Use Agentic AI SAP and Oracle, as leading enterprise software providers, are actively integrating Agentic AI capabilities into their platforms to enhance organizational productivity across various business functions. Here’s how they can leverage this transformative technology: SAP’s Use of Agentic AI: SAP is embedding “Business AI” across its portfolio, which… Read more

  • BPM Meets Agentic AI for Organizational Productivity

    BPM Meets Agentic AI for Organizational Productivity The convergence of Business Process Management (BPM) and Agentic AI holds immense potential to revolutionize organizational productivity. While BPM provides the structured framework for how work gets done, Agentic AI introduces intelligent, autonomous entities that can execute tasks, make decisions, and adapt within those processes. This synergy can… Read more

  • Salesforce Agentic AI: A Comprehensive Overview

    Salesforce Agentic AI: A Comprehensive Overview Salesforce Agentic AI represents a significant evolution in how artificial intelligence is integrated into the Salesforce platform. Moving beyond simple automation and predictive analytics, Agentic AI aims to create intelligent, autonomous agents capable of understanding complex goals, planning multi-step actions, and executing tasks on behalf of users. This detailed… Read more

  • Sample Agentic AI Orchestrating Complex Cybersecurity Workflow in GCP

    Agentic AI Orchestrating Complex Workflow in GCP (Sample) Agentic AI Orchestrating Complex Workflow in GCP (Sample) This sample outlines a conceptual implementation of an agentic AI system orchestrating a complex cybersecurity workflow in Google Cloud Platform (GCP), focusing on automatically investigating and responding to potential phishing incidents reported by employees. Conceptual Architecture +———————+ +———————+ +——————–+… Read more

  • Implementing Intelligent Financial Advisor Agentic AI on GCP – Detailed

    Implementing Intelligent Financial Advisor Agentic AI on GCP – Detailed Implementing Intelligent Financial Advisor Agentic AI on GCP – Detailed This document outlines the architecture and implementation steps for building an Intelligent Financial Advisor Agentic AI system on Google Cloud Platform (GCP). The goal is to create an autonomous agent capable of understanding user financial… Read more

  • Implementing Fraud Detection and Prevention Agentic AI on Azure – Detailed

    Implementing Fraud Detection and Prevention Agentic AI on Azure – Detailed Implementing Fraud Detection and Prevention Agentic AI on Azure – Detailed This document provides a comprehensive outline for implementing a Fraud Detection and Prevention Agentic AI system on Microsoft Azure. The objective is to build an intelligent agent capable of autonomously analyzing data, making… Read more

  • Implementing Fraud Detection and Prevention Agentic AI on AWS – Detailed

    Implementing Fraud Detection and Prevention Agentic AI on AWS – Detailed This document provides a comprehensive outline for implementing a Fraud Detection and Prevention Agentic AI system on Amazon Web Services (AWS). The goal is to create an intelligent agent capable of autonomously analyzing data, making decisions about potential fraud, and continuously learning and adapting… Read more

  • Processing Data Lakehouse Data for Agentic AI

    Processing Data Lakehouse Data for Agentic AI Processing Data Lakehouse Data for Agentic AI Agentic AI, characterized by its autonomy, goal-directed behavior, and ability to interact with its environment, relies heavily on data for learning, reasoning, and decision-making. Processing data from a data lakehouse for such AI agents requires careful consideration of data quality, relevance,… Read more

  • Robotics and Agentic AI Convergence – More Details

    Robotics and Agentic AI Convergence – More Details The synergy between robotics and agentic AI is creating a new generation of robots with enhanced autonomy, intelligence, and adaptability. This convergence allows robots to move beyond predefined tasks and engage with the world in a more proactive and goal-oriented manner. Key Aspects of the Convergence (Expanded):… Read more

  • The Role of Agentic AI in Warehouse Robotics

    The Role of Agentic AI in Warehouse Robotics Agentic AI represents a significant leap beyond traditional automation in warehouse robotics, empowering robots with greater autonomy and intelligence. How Agentic AI Enhances Warehouse Robotics: Autonomous Decision-Making: Robots can analyze situations and make intelligent decisions independently. Complex Task Execution: Robots can break down and plan the execution… Read more

  • AWS AI Offerings – Industry-Specific Use Cases

    AWS AI Offerings – Industry-Specific Use Cases Agentic AI and Generative AI are being applied across various industries to solve specific challenges and create new opportunities. Healthcare: Agentic AI Use Cases: Automated Patient Scheduling and Follow-up AI agents that autonomously manage appointment booking, rescheduling, and send reminders to patients, improving efficiency and reducing no-shows. AI-Assisted… Read more

  • Agentic AI using Autonomous Platforms (n8n, make, zapier)

    Agentic AI using Autonomous Platforms (e.g., n8n) (2025) In 2025, the convergence of Agentic AI and Autonomous Platforms like n8n is revolutionizing automation. Agentic AI refers to AI systems capable of perceiving their environment, making decisions, and taking actions to achieve specific goals without constant human intervention. When integrated with autonomous platforms, these agents can… Read more

  • GraphQL vs RESTful for Agentic AI

    GraphQL vs RESTful for Agentic AI Both RESTful and GraphQL APIs can be used to build agentic AI systems, and the choice between them depends on the specific requirements and characteristics of the AI agent and the systems it interacts with. Here’s a comparison of their suitability: RESTful APIs for Agentic AI: Pros: Simplicity and… Read more