Egnyte's LangChain Integration: Unlocks AI Potential

AI isn’t magic. It’s math that needs clean data and good decisions behind it. Too many companies bolt on AI features because they look cool—not because they solve real problems. Here, we unpack how to integrate AI the right way: - Start with data readiness, not dashboards - Focus on automation and insight, not hype - Keep humans in the loop Because the goal isn’t “AI everywhere." It’s AI that actually works. Read more: https://lnkd.in/gzjBRTwJ

🚀 The Rise of MCP Agents — A New Era in AI Interoperability 🔗 In the rapidly evolving world of AI Agents, one major challenge has always been interoperability — how different models, tools, and services communicate and share context seamlessly. That’s where the MCP (Model Context Protocol) comes in. 🌐 What is MCP? MCP stands for Model Context Protocol — a new open standard that defines how AI models, tools, and clients exchange contextual data securely and efficiently. It acts like a “universal language” that allows AI agents to understand, collaborate, and extend their capabilities beyond a single system. Think of MCP as the API layer for AI agents. It connects the dots between: 🤖 Language Models (like GPT, Claude, Bedrock, Gemini) 🧠 AI Agents (personal assistants, copilots, automation bots) ⚙️ External Tools (databases, APIs, applications) ☁️ Cloud/Enterprise Systems (AWS, GCP, Azure, CRM, ERP, etc.) 🔍 Why MCP Matters #Interoperability: Agents built by different vendors can “talk” to each other without custom integrations. #Security: MCP provides controlled context sharing — so data exposure is minimized. #Extensibility: Developers can plug in their own tools or data connectors easily. #Scalability: Enables enterprise-grade agent ecosystems that can span departments and platforms. Future-proofing: Open standard = no vendor lock-in. 🧩 How MCP Agents Work An MCP Agent connects to an MCP server and interacts through well-defined interfaces — similar to how microservices communicate via REST or gRPC. The agent: Sends contextual requests (like knowledge, tasks, or state). Receives structured responses. Uses those responses to take autonomous actions or decisions. It’s like giving your AI assistant a shared workspace with other AI assistants — each bringing their own expertise to the table. 💬 💡 Real-World Impact Enterprise AI platforms (like AWS Bedrock Agents or OpenAI GPTs) can now integrate enterprise data sources dynamically. Teams can build “multi-agent systems” where each agent handles a domain — DevOps, finance, marketing, etc. Cloud-native AI orchestration becomes possible — much like Kubernetes for AI logic. 🧠 My Take The Model Context Protocol is to AI what HTTP was to the Internet — a universal foundation for connection and collaboration. The future of AI is not just one large model — it’s a network of intelligent agents working together through open protocols like MCP. 🌍 The era of “AI Operating Systems” has just begun. #AI #Agents #MCP #ModelContextProtocol #GenerativeAI #OpenAI #CloudArchitecture #AIAgents #Innovation #FutureOfWork

One Platform. Trusted Data. Scalable AI. Our strategic partner Databricks just shared breakthrough results showing that by combining open-source models with automated prompt optimization, enterprises can now achieve state-of-the-art AI performance at 90× lower cost. For financial institutions, that changes everything. Because true AI readiness is not about having many tools it is about having one platform that connects data, governance, and AI development in a single, trusted environment. At Danske Bank, we are building exactly that foundation: Trusted, governed data products as reusable assets for every model, report, and decision A unified platform where data, analytics, and AI innovation coexist seamlessly Responsible AI that scales efficiently, transparently, and safely across the organisation This is how we simplify the data-to-AI value chain, from source to decision, and ensure that governance, trust, and efficiency reinforce each other. When everything happens on one governed platform, complexity goes down, confidence goes up, and AI becomes a business capability not a side experiment. https://lnkd.in/d7sgGvgE

Explore the intersection of AI, enterprise solutions, open-source technology, and low-code platforms at Planet Crust. This resource provides insights into how these components are shaping modern business landscapes. Learn how organizations are leveraging these technologies to innovate and enhance operational efficiency. Discover the potential for creating agile and scalable solutions in today's fast-paced environment. #AIFuture #LowCodeDevelopment

Explore the intersection of AI, enterprise solutions, open-source technology, and low-code platforms at Planet Crust. This resource provides insights into how these components are shaping modern business landscapes. Learn how organizations are leveraging these technologies to innovate and enhance operational efficiency. Discover the potential for creating agile and scalable solutions in today's fast-paced environment. #AIFuture #LowCodeDevelopment

Explore the intersection of AI, enterprise solutions, open-source technology, and low-code platforms at Planet Crust. This resource provides insights into how these components are shaping modern business landscapes. Learn how organizations are leveraging these technologies to innovate and enhance operational efficiency. Discover the potential for creating agile and scalable solutions in today's fast-paced environment. #AIFuture #LowCodeDevelopment

AI is only as smart as the data you give it. That’s a truth many businesses overlook. If your data is locked away in unstructured files, your AI might be missing out on critical insights. 🔍 OpenText File Content Extraction helps uncover the hidden gold in your documents—making your AI smarter, faster, and more effective. 💡 Learn how to unlock the full potential of your data: https://lnkd.in/eM8FEzua

Fact: AI is only as smart as the data you give it. Want to find out on how to deliver, analyze and process information in the times of AI? Then have a look at the blog below.

AI is only as good as the data feeding it. 💡 If your enterprise AI projects are stalled at the proof-of-concept stage, fragmented data is the roadblock. Our latest blog explains why integration is the hidden hero that lays the foundation for AI success. Learn how to fix the data dilemma and build an AI-ready enterprise: 👉 http://spklr.io/6042BzV3r #AI #Integration #DigitalTransformation #iPaaS #DataManagement #Boomi #EnterpriseAI #TeamBoomi

New research from the Databricks AI team shows that automated prompt optimization can match the quality gains of supervised fine-tuning while reducing serving costs.