WIRE)--SnapLogic, provider of the #1 intelligent integration platform, today announced SnapLogic Data Science, a new self-service solution to accelerate the development and deployment of machine learning with minimal coding. Through SnapLogic's drag-and-drop interface, data engineers, data scientists, and IT/DevOps teams can use SnapLogic Data Science to manage and control the entire machine learning lifecycle – including data acquisition, data exploration and preparation, model training and validation, and model deployment – all from within the SnapLogic integration platform. SnapLogic Data Science breaks down traditional barriers that can undermine machine learning initiatives by providing a common platform for machine learning visibility and collaboration across teams including data engineering, data science, IT, DevOps, and development. According to our recent research with Vanson Bourne, 68% of IT decision-makers consider artificial intelligence and machine learning as vital to accelerating their transformation projects. At the same time, McKinsey Global Institute predicts that the U.S. alone will be short 250,000 data scientists by 2024.

WIRE)--Nov 14, 2018--SnapLogic, provider of the #1 intelligent integration platform, today announced SnapLogic Data Science, a new self-service solution to accelerate the development and deployment of machine learning with minimal coding. Through SnapLogic's drag-and-drop interface, data engineers, data scientists, and IT/DevOps teams can use SnapLogic Data Science to manage and control the entire machine learning lifecycle – including data acquisition, data exploration and preparation, model training and validation, and model deployment – all from within the SnapLogic integration platform. SnapLogic Data Science breaks down traditional barriers that can undermine machine learning initiatives by providing a common platform for machine learning visibility and collaboration across teams including data engineering, data science, IT, DevOps, and development. According to our recent research with Vanson Bourne, 68% of IT decision-makers consider artificial intelligence and machine learning as vital to accelerating their transformation projects. At the same time, McKinsey Global Institute predicts that the U.S. alone will be short 250,000 data scientists by 2024.

SnapLogic recently joined Vanson Bourne for the'Busting Through Digital Transformation Roadblocks' research study, surveying 500 IT decision makers from medium to large firms in the US and UK to gain insight into the issues impeding digital transformation. The study found that 68% of those surveyed view AI and machine learning technology to be integral to digital transformation, but an industry-wide shortfall in ML expertise limiting the tech's uptake was found by a separate McKinsey Global Institute study. The SnapLogic Data Science self-service solution will enable companies to rapidly build and deploy machine learning programs without the need for advanced coding, circumventing the issue of limited expertise by increasing the accessibility and ease with which machine learning systems can be constructed and integrated into existing models. Through Data Science's drag-and-drop-based UI, engineers, data scientists, and DevOps teams will be able to coordinate data acquisition, data analysis and preparation, model training and validation, through to full deployment. "Every enterprise in every industry will need to employ AI and machine learning in order to keep pace with today's most progressive businesses," said Greg Benson, SnapLogic's Chief Scientist, in the firm's press release.