Myriad Venture Partners’ Post

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The growing volume and variety of unstructured data are driving a shift towards modular, scalable systems that can handle diverse data types across global operations. This transition presents both challenges and opportunities, from ensuring regulatory compliance to unlocking new insights from previously untapped sources. We've looked into the evolving landscape of unstructured data in large enterprises and put together thoughts about its impact on data architecture strategies. Companies included: Hugging Face, OpenCV.ai, Roboflow, Encord, Voxel51, Coactive AI, Deepgram, AssemblyAI, Redpanda Data, Graphlit, by Unstruk Data, MinIO, SurrealDB, LanceDB, Marqo, Milvus, Vespa.ai, TerminusDB, Kumo.AI, Roe AI, OmniAI, Presto, Dremio, Vectorize, Sentra, unstructured.io, Adept, Helsing, Archetype AI, Owkin, RAIC Labs (formerly Synthetaic), 🔭 Galileo, Cleanlab, bem. https://lnkd.in/eRRQMNGF

🙇 Thanks for the mention! I'm particularly excited about introducing paradigms like ours as pure primitives that can evolve as infrastructure layers, rather than isolated business processes.

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