SUNNYVALE, Calif.--(BUSINESS WIRE)--In response to growing demand for operational machine learning in Japan, Falkonry, Inc., the leading enabler of predictive operations for Global 2000 companies, today announced its participation at two key events: the Innovation Leaders Summit and the Silicon Valley - New Japan Summit. At both venues, Falkonry will be demonstrating its Falkonry LRS machine learning system running predictive models deployed on an edge device and delivering real-time predictions from live streaming data. Falkonry will also discuss how companies with manufacturing and process operations have successfully implemented Falkonry LRS to reduce unplanned downtime and improve production quality, resulting in savings of several millions of dollars annually. In addition, at the Silicon Valley - New Japan Summit, Falkonry Founder & CEO, Dr. Nikunj Mehta, will be speaking and will discuss successful use cases in a wide range of industries such as automotive, semiconductor, defense & intelligence, mining & metals, chemical, and oil & gas.
- Innovation Leaders Summit – Oct. 29 in Tokyo, Japan. Live demonstrations of Falkonry Edge Analyzer delivering real-time predictions from live streaming data.
- Silicon Valley - New Japan Summit – Nov. 19 at Stanford University. Falkonry Founder & CEO, Dr. Nikunj Mehta, will speak at 11 a.m. on how AI and machine learning are transforming manufacturing and process operations across industries in Japan.
About Falkonry LRS
Unlike other analytics technologies, Falkonry LRS can be quickly and easily deployed by manufacturing engineers or process engineers - without requiring data scientists. The system applies automated feature learning to multivariate time series data that is generated by the equipment and production systems in most discrete manufacturing and industrial process operations. It is able to discover hidden patterns in the data that cannot be observed by humans or traditional analytics. These patterns in turn provide insight on the operating state and identify conditions that precede undesired events and are used to provide an early warning.
Falkonry is the leading enabler of predictive operations for Global 2000 companies looking to achieve significant improvements in the uptime, yield, quality and safety of their operations. Falkonry’s “pre-packaged” machine learning system, Falkonry LRS, enables operations teams to discover, explain and predict behaviors that matter, without requiring data scientists. The product, which can be easily scaled across the enterprise either on-premises, in the cloud or on the edge, has proven to deliver initial results in as little as three weeks, enabling customers to save several millions of dollars annually in operating costs and achieve a 5-10 times annual ROI. For more information about Falkonry and its offerings, please visit www.falkonry.com.