Recently, SnapLogic, the #1 intelligent integration platform provider, announced SnapLogic Data Science. This a new self-service solution, designed to accelerate the development/deployment of Machine Learning with minimal coding. Data engineers, IT/DevOps teams, and Data Scientists can use SnapLogic Data Science to control and manage the entire Machine Learning lifecycle – including data exploration and preparation, data acquisition, model training, validation, and deployment – all from within the SnapLogic integration platform.
Greg Benson, Chief Scientist at SnapLogic, said, “Every enterprise, in every industry, will need to employ AI and machine learning, in order to keep pace with today’s most progressive businesses. However, most companies fall flat in actualizing Machine Learning, because they don’t have the talent or financial resources to make the most of their data. With SnapLogic Data Science, we’re enabling our customers to overcome the common barriers associated with putting Machine Learning into practice, by arming them with a full stack of self-service tools to be faster, more agile, more data-driven. Just as we enabled self-service application and data integration for IT and citizen integrators, we are extending these self-service capabilities to data engineers and data science teams who need to build and deploy machine learning models faster and easier.”
Read more at Business Wire.
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