If Copilot is your AI co-pilot, your unstructured data is the runway. If it’s cluttered, inconsistent, or overexposed, you won’t get liftoff – you’ll get mistrust, policy risk, and “why did it show that?” moments. What follows is a field-tested blueprint for getting Microsoft 365 environments Copilot-ready fast, drawn from a recent professional-services deployment we […]
On August 21, 2025 in Palo Alto, CA, we shared a live, code-forward session at the Data Engineering Summit. Rather than recap the event blow-by-blow, this post distills the practical takeaways teams can apply now, especially if you’re preparing unstructured data for AI, tightening data privacy, and building multimodal workflows. Alongside vector database leaders Pinecone […]
Microsoft Copilot is quickly becoming the crown jewel of enterprise productivity. It promises to unlock the knowledge inside your data, make work faster, and surface insights that matter. But here’s the catch: if your data isn’t clean, structured, and permissioned correctly, Copilot doesn’t just speed up productivity, it speeds up risk (basically giving your out […]
We teamed up with Windsurf at Aparavi’s Munich office on 07/31/2025 for a fast, hands-on night of building production-ready, natural-language apps. Using Windsurf’s agentic IDE and Aparavi’s MCP server, attendees turned raw PDFs, videos, and spreadsheets into working AI apps, then battle-tested them in a friendly code challenge. Workshop highlights Aparavi intro — How MCP […]
We brought the Hacking Agents community together at AWS Builder Loft in San Francisco on 07/31/2025 for fast demos, real use cases, and hands-on learning with AI agents. The highlight: how Aparavi’s Data Toolchain and MCP server connect to Langflow for natural-language workflows on unstructured data. Speaker highlights Mansi More (Aparavi) — Unlocking legacy archives […]
For many organizations, effective data management of unstructured content is a key challenge that directly impacts their ability to scale operations, particularly in AI. According to McKinsey, 72% of leading companies report that managing data effectively is one of their top challenges when scaling AI use cases. The root cause of this issue? Poor data […]
Good data makes trustworthy AI. This blog shows how Aparavi turns messy data into AI-ready assets through a real case study. The Problem: Michelle’s AI Chatbot Project Michelle, a product manager at a financial company, needed to build an AI chatbot but faced big challenges. Her data was scattered across 12+ systems with hidden sensitive […]
There’s a lot of buzz about AI decision-making and for good reason. The promise of AI is massive: faster operations, sharper predictions, smarter automation. But here’s the truth few are eager to admit: AI is only as good as the data feeding it. A recent McKinsey article dives into the concept of AI as a […]
Ever feel overwhelmed by the sheer volume of unstructured data? With 80 to 90% of all new enterprise data being unstructured, businesses face the challenge of transforming this unorganized data into something valuable. Unstructured data exists in various forms, from emails and documents to social media posts, yet it’s often siloed and disconnected from actionable […]
Generative AI is everywhere right now. The possibilities are exciting: tailored customer experiences, faster workflows, new revenue streams. But here’s the problem no one wants to say out loud: most GenAI programs are failing. A recent McKinsey article, “Overcoming two issues that are sinking GenAI programs,” highlights the common stumbling blocks—companies don’t know how to […]
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