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Altair Knowledge Works enables ordinary users to achieve extraordinary results with their data. Only Altair Knowledge Works can unlock data from the widest variety of sources and prepare it for use in visualization and analytics tools, or for other business processes. When real-time visibility into rapidly changing data is critical, Altair Knowledge Works also enables users to analyze streaming data, even in the most demanding environments, such as capital markets.
Databricks’ mission is to accelerate innovation for its customers by unifying Data Science, Engineering, and Business. Founded by the team who created Apache Spark™, Databricks provides a Unified Analytics Platform for data science teams to collaborate with data engineering and lines of business to build data products. Users achieve faster time-to-value with Databricks by creating analytic workflows that go from ETL and interactive exploration to production. The company also makes it easier for its users to focus on their data by providing a fully managed, scalable, and secure cloud infrastructure that reduces operational complexity and total cost of ownership. Databricks, venture-backed by Andreessen Horowitz, NEA, and Battery Ventures, among others, have a global customer base that includes Salesforce, Viacom, Shell, and HP.
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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