by Angela Guess
A recent press release reports, “Hitachi Vantara, a wholly owned subsidiary of Hitachi, Ltd. (TSE:6501), today 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 organisations 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.”
The release goes on, “As organisations 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 organisations 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 Out-of-date models can create significant risk to organisations’.”
Read more at PRwire.
Photo credit: Hitachi Vantara