Kinetic IT’s Post

🚀Most AI models are incomplete, trained on snippets and summaries that miss the crucial "how." But what if your AI could know the full story? Models trained on full-text, expert-authored content deliver undeniable advantages: fewer factual errors, superior performance, and higher user trust. This is the power of a new approach: Model Context Protocol (MCP), which provides real-time access to authoritative sources. The architecture you choose today determines if you're building a simple tool or a trusted system. 📖 Read the full article - Building AI with Trust: The Expert Knowledge Advantage https://ow.ly/CiMk50WXkWX #AI #MachineLearning #TechStrategy #DataScience

🚀Most AI models are incomplete, trained on snippets and summaries that miss the crucial "how." But what if your AI could know the full story? Models trained on full-text, expert-authored content deliver undeniable advantages: fewer factual errors, superior performance, and higher user trust. This is the power of a new approach: Model Context Protocol (MCP), which provides real-time access to authoritative sources. The architecture you choose today determines if you're building a simple tool or a trusted system. 📖 Read the full article - Building AI with Trust: The Expert Knowledge Advantage https://ow.ly/wY1O50WVJfx #AI #MachineLearning #TechStrategy #DataScience

Nous Research just launched Hermes 4 and revamped its Nous Chat platform, setting new benchmarks for open-source AI capabilities! #AI #LLM #OpenSource #TechInnovation For more visit: https://lnkd.in/gJGR25pv

Nous Research just launched Hermes 4 and revamped its Nous Chat platform, setting new benchmarks for open-source AI capabilities! #AI #LLM #OpenSource #TechInnovation For more visit: https://lnkd.in/gJGR25pv

Built a multi-agent application using CrewAI that tackles complex tasks with a sequential workflow! 🚀 Each of the three agents performs its own specialized task, demonstrating the power of collaborative AI. CrewAI is an incredibly powerful framework for orchestrating multiple agents and managing sophisticated workflows. For this project, I use Gemini, but we can use any AI service Check out CrewAI: https://www.crewai.com/ Want to learn more about my work? Visit usmannadeem.com and dive into the full blog post https://2shrt.xyz/ClJpqt. #CrewAI #MultiAgentAI #AI #Gemini #WorkflowAutomation #LLM #ArtificialIntelligence

Gartner forecasts that 40% of enterprise applications will feature task-specific AI agents by 2026, up from less than 5% in 2025. Learn how agentic AI is already transforming enterprise operations: https://gtnr.it/4n1Dk0g Dive deeper into the heading and learn how to unlock the potential of AI agents in your enterprise: https://gtnr.it/4mzP2PM #GartnerIT #AI #EnterpriseApps #Innovation

Strategic Highlights from Gartner’s Agentic AI Forecast Gartner predicts a seismic shift: by 2026, 40% of enterprise applications will feature task-specific AI agents—up from less than 5% today. These agents won’t just assist users; they’ll act independently, executing tasks like incident response, development workflows, and even cross-functional orchestration. This marks a transition from passive AI assistants to autonomous, agentic systems. By the end of 2025, nearly every enterprise app will embed AI assistants. But Gartner warns against confusing these with true agents. Assistants still rely on human input, while agents operate independently, making decisions and coordinating actions. CIOs have a narrow 3–6 month window to define their agentic AI strategy or risk falling behind. The evolution unfolds in five stages: 1. Embedded AI Assistants – These simplify user tasks but remain reactive. They’re the foundation for agentic transformation. 2. Task-Specific Agents – By 2026, agents will specialize in tasks and act autonomously. This demands robust governance, security, and compliance overlays. 3. Collaborative Agents – By 2027, agents will work together within applications, managing complex workflows. Interoperability and standardized protocols become critical. 4. Cross-App Agent Ecosystems – By 2028, agents will collaborate across applications, enabling users to achieve goals without interacting with each app directly. This shift will require modular architecture, dynamic pricing models, and new governance frameworks. 5. Democratized Agentic Interfaces – By 2029, half of knowledge workers will be able to create and govern AI agents on demand. This will redefine enterprise UX and require scalable enablement resources. Gartner estimates agentic AI will drive 30% of enterprise app revenue by 2035—over $450 billion. Early adopters will shape the “new normal,” while laggards risk disintermediation. How This Maps to Your Strategic Toolkit This evolution is tailor-made for your expertise. You could: - Build bilingual enablement kits that help infra teams assess agentic AI risks, compliance boundaries, and integration patterns. - Design visual overlays showing agent collaboration paths, governance checkpoints, and escalation flows. - Integrate agentic AI scenarios into ITIL 4 HVIT, DSV, and CDS prep materials—especially around service orchestration and automation governance. - Architect modular blueprints for agentic front ends, replacing traditional UIs with governance-aware, API-driven interfaces. This is a moment where infrastructure strategy meets transformation leadership.

🚀Most AI models are incomplete, trained on snippets and summaries that miss the crucial "how." But what if your AI could know the full story? Models trained on full-text, expert-authored content deliver undeniable advantages: fewer factual errors, superior performance, and higher user trust. This is the power of a new approach: Model Context Protocol (MCP), which provides real-time access to authoritative sources. The architecture you choose today determines if you're building a simple tool or a trusted system. 📖 Read the full article - Building AI with Trust: The Expert Knowledge Advantage https://ow.ly/8ws650WVeIf #AI #MachineLearning #TechStrategy #DataScience

In a new article for ControlDesign, Siemens’ Steffen Klawitter unpacks the transformative benefits of #AI in #MachineBuilding. What are the common misconceptions? What are the opportunities offered by the new technology? What types of challenges does AI implementation pose? 🦾 This article is a must-read for any machine builder looking to leverage #ArtificialIntelligence in their operation. 👉 https://sie.ag/3oe9XyU

What is the Model Context Protocol (MCP)? A new standard for smarter, context-aware AI is here. We break down what it is and why it's a game-changer for data integrity. Learn more: https://okt.to/4Wko1U #AI #DataIntegrity