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MathWorks Case Studies

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    Anaconda is the world’s most popular data science platform and the foundation of modern machine learning. They pioneered the use of Python for data science, champion its vibrant community, and continue to steward open-source projects that make tomorrow’s innovations possible. Their enterprise-grade solutions enable corporate, research, and academic institutions around the world to harness the power of open source for competitive advantage, groundbreaking research, and a better world.

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    Kortical - end to end ML platform - editable in code, built for data scientists to assist with preparing data, building ML models, deploying scalable models with a few clicks and managing them with ML Ops functionality. Kortical is different as it is built with transparency and control, where the code is editable vs hidden behind a UI. Some of the unique tools are, scoring the model improvement when you build new features before you build the model, explainability on DNN for NLP back into text and app hosting for easy scalable ML solutions. Kortical is an intuitive, code optional, platform that is enjoyable to use as it works with your current workflow vs hiding it behind a clunky web app.

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    At Talend, their mission is to connect the data-driven enterprise so customers can operate in real-time with new insight about customers, markets and business. Founded in 2006, Talend's global team of integration experts builds on open source innovation to create enterprise-ready solutions that help unlock business value more quickly. By design, Talend's integration software simplifies the development process, reduces the learning curve, and decreases total cost of ownership with a unified, open, and predictable platform.

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