{"id":5039,"date":"2025-09-17T15:49:41","date_gmt":"2025-09-17T15:49:41","guid":{"rendered":"https:\/\/www.intnews.it\/?p=5039"},"modified":"2025-09-17T15:49:41","modified_gmt":"2025-09-17T15:49:41","slug":"agentic-ai-complete-guide-of-the-technology","status":"publish","type":"post","link":"https:\/\/intnews.it\/en\/agentic-ai-complete-guide-of-the-technology\/","title":{"rendered":"Agentic AI: complete guide of the technology"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\">Functionality, fields of application and future developments of Agentic AI<\/h2>\n\n\n\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p><strong>Agentic AI<\/strong>: represents a revolutionary paradigm in the field of <strong><a href=\"https:\/\/www.intnews.it\/en\/artificial-intelligence-ai\/\" target=\"_blank\" rel=\"noreferrer noopener\">Artificial Intelligence<\/a><\/strong>, configuring itself as a system capable of achieving specific goals with limited human supervision. This system is composed of <strong>AI Agents<\/strong>, which are <strong><a href=\"https:\/\/www.intnews.it\/en\/machine-learning\/\" target=\"_blank\" rel=\"noreferrer noopener\">machine learning<\/a><\/strong> models that emulate the human decision-making process for real-time problem-solving. <\/p>\n\n\n\n<p>Unlike traditional AI models, which operate within rigidly predefined constraints and require constant human intervention, Agentic AI possesses autonomy, goal-oriented behavior, and dynamic adaptability.<\/p>\n\n\n\n<p>The term &#8220;agentic&#8221; refers to the organizational capacity of these models, meaning their ability to act independently and intentionally. In a <strong>multi-agent system<\/strong>, each individual agent performs a specific sub-task necessary for achieving the overall objective, while their efforts are coordinated through sophisticated <strong>AI orchestration<\/strong> mechanisms.<\/p>\n\n\n\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading\">FUNCTIONALITY<\/h3>\n\n\n\n<p><strong>Agentic AI<\/strong> systems follow an operational process articulated in several sequential and interdependent phases.<\/p>\n\n\n\n<p>First, the <strong>Agentic AI<\/strong> initiates its operations by collecting data from the surrounding environment through sensors called <strong>APIs<\/strong>. These are direct interactions with users, which ensure access to up-to-date information for data processing and analysis.<\/p>\n\n\n\n<p>Once the data is acquired, the AI processes it to extract significant insights. Using <strong>natural language processing (NLP)<\/strong>, <strong>computer vision<\/strong>, or other advanced AI functionalities, the system interprets user requests, detects complex patterns, and understands the broader operational context.<\/p>\n\n\n\n<p>The AI establishes goals based on predefined parameters or user inputs, subsequently developing specific strategies for their achievement through <strong>decision trees<\/strong>, <strong>reinforcement learning<\/strong>, or advanced planning algorithms. <br>The system evaluates multiple possible actions, selecting the optimal one based on factors like efficiency and accuracy. <\/p>\n\n\n\n<p>After the action selection, the AI proceeds to its implementation, interacting with external systems or providing direct responses to users. <\/p>\n\n\n\n<p>Subsequently, the AI evaluates the results obtained, gathering feedback to improve future decisions through reinforcement or self-supervised learning mechanisms. <\/p>\n\n\n\n<p>The final and crucial moment of the AI agent&#8217;s operation is called <strong>orchestration<\/strong>. It consists of the coordination and management of multiple systems and agents. Orchestration platforms automate <strong>AI workflows<\/strong>, monitor progress toward task completion, manage resource utilization, oversee data flow and memory, and administer error events.<\/p>\n\n\n\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading\">FIELDS OF APPLICATION<\/h3>\n\n\n\n<p><strong>Agentic AI<\/strong> finds transversal application in various strategic sectors, revolutionizing operational processes through intelligent automation and predictive analysis. <br>In <strong>financial trading<\/strong>, autonomous agents analyze stock prices and economic indicators in real-time to perform <strong>predictive analytics<\/strong> and automated transactions, optimizing investment strategies with superior speed and accuracy. <br>The <strong>automotive sector<\/strong>, autonomous vehicles leverage real-time data sources from GPS and advanced sensors to significantly improve navigation and ensure high standards of operational safety, dynamically adapting to environmental conditions.<\/p>\n\n\n\n<p>In the <strong>healthcare sector<\/strong>, this technology further demonstrates its versatility through intelligent agents that continuously monitor patients&#8217; vital parameters, adapt therapeutic recommendations based on the latest test results, and provide decision support to doctors through specialized <strong>chatbots<\/strong>.<br>The same continuous monitoring capability characterizes its application in the field of <strong>cybersecurity<\/strong>, where <strong>Agentic AI<\/strong> systems constantly monitor network traffic, system logs, and user behavioral patterns to identify anomalies indicative of vulnerabilities to malware, phishing attacks, or unauthorized access attempts. Operational efficiency also extends to <strong>supply chain management<\/strong>, where autonomous artificial intelligence streamlines processes through automation and optimization of operations, autonomously managing orders to suppliers and adjusting production schedules to maintain optimal inventory levels.<\/p>\n\n\n\n<p>Finally, in <strong>customer service<\/strong>, autonomous agents complete this application landscape by solving complex problems without the need for human escalation and managing the entire end-to-end customer journey with high operational efficiency, ensuring a personalized and consistent user experience.<\/p>\n\n\n\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading\">FUTURE DEVELOPMENTS<\/h3>\n\n\n\n<p><strong>Agentic AI<\/strong> is currently in an embryonic phase of development, especially within the Italian innovation landscape.<\/p>\n\n\n\n<p><strong>Virtual reality<\/strong> platforms, industrial <strong>digital twins<\/strong>, and simulation environments will represent fundamental controlled ecosystems for training and validating <strong>AI agents<\/strong> before operational deployment. These digital tools will allow for testing complex scenarios, significantly reducing the risks associated with direct implementation in production environments. <strong>Agentic AI<\/strong> therefore configures a paradigmatic revolution in intelligent automation that transcends the mere evolution of generative AI.<\/p>\n\n\n\n<p>A significant strategic criticality for the European market emerges, however: the growing technological dependence on the US market in the field of <strong>AI innovation<\/strong>. Data from the<strong><a href=\"https:\/\/www.osservatori.net\/blog\/artificial-intelligence\/agentic-ai-come-funzionano\/#Il_futuro_dellAgentic_AI\" target=\"_blank\" rel=\"noreferrer noopener\"> international startup census <\/a><\/strong>confirms this worrying trend, with 60% of innovative companies in agentic automation concentrated in the USA and 87% of venture capital investments destined for the North American market, highlighting a significant competitive gap for Europe in the <strong>artificial intelligence economy<\/strong>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Functionality, fields of application and future developments of Agentic AI Agentic AI: represents a revolutionary paradigm in the field of Artificial Intelligence, configuring itself as a system capable of achieving&#8230;<\/p>\n","protected":false},"author":6,"featured_media":5037,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[81,79],"tags":[],"class_list":{"0":"post-5039","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-int-learn","8":"category-sections"},"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - 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