Hitachi Vantara unveils new capabilities to Accelerate Model Deployment and Reduce Business Risk

Hitachi Vantara, a wholly owned subsidiary of Hitachi, Ltd. has announced additional capabilities for machine learning orchestration to help data scientists monitor, test, retrain and redeploy supervised models in production. An innovation from Hitachi Vantara Labs, collectively known as “machine learning model management,” can use these new tools in a data pipeline built in Pentaho to help improve business outcomes and reduce risk by making it easier to update models in response to continual change. Improved transparency gives people inside organizations better insights and confidence in their algorithms. Hitachi Vantara Labs is making machine learning model management available as a plug-in through the Pentaho Marketplace.

As organizations transform digitally, their algorithms become a key competitive advantage – and potentially a risk. Once a model is in production, it must be monitored, tested and retrained continually in response to changing conditions, then redeployed. Today this work involves considerable manual effort and, consequently, is often done infrequently. When this happens, prediction accuracy will deteriorate and impact the profitability of data-driven businesses.

David Menninger, ‎SVP & Research Director, Ventana Research, said, “According to our research, two-thirds of organizations do not have an automated process to seamlessly update their predictive analytics models. As a result, less than one-quarter of machine learning models are updated daily, approximately one-third are updated weekly and just over half are updated monthly. Out-of-date models can create significant risk to organizations.”

“Machine learning and artificial intelligence (AI) are optimizing everything from customer interactions to enterprise operations. As these applications evolve, data scientist and IT operation teams will need to move newly trained models into production faster than ever before, which can jeopardize model accuracy, collaboration and governance,” said John Magee, VP, product marketing, Hitachi Vantara. “Hitachi Vantara Labs’ machine learning model management provides improved algorithmic transparency and automation so application teams can focus their efforts on innovating rapidly without risking model deterioration.”