Falkonry CEO To Speak at Semicon West on How Machine Learning Can Improve Production & Yield for Semiconductor Manufacturing

SUNNYVALE, Calif. — (BUSINESS WIRE) — July 9, 2019Falkonry, Inc., the leading enabler of predictive operations, today announced that its founder and CEO, Dr. Nikunj Mehta, will be speaking at the Semicon West Conference in San Francisco about ways machine learning can help semiconductor companies optimize production uptime and yield. Dr. Mehta will discuss use cases where customers are discovering and recognizing patterns that lead to potential calibration problems or unexpected downtimes in fab operations. They are leveraging machine learning in production to do this and have installed automated warning systems to predict and prevent such issues.

“Just-in-time maintenance of high-precision equipment is a perfect example of how machine learning can help semiconductor companies because a day lost can easily cost hundreds of thousands of dollars in unfilled orders,” said Mehta. “In this case, predictive operations can be leveraged to ensure calibration maintenance occurs exactly when needed, enabling semiconductor manufacturers to significantly reduce, or even eliminate, these unexpected and costly downtime.”

Title of Presentation: Applying “Ready-to-Use” Machine Learning to Improve Production & Yield for Semiconductor Fabrication
Date and Time: Thursday, July 11 at 10:25 am
Location: Room 20, Moscone Center in San Francisco

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. Depending on the process being monitored, such early warnings may occur hours, days or even weeks in advance. Companies achieve initial results in as little as three weeks, enabling them to save several millions of dollars annually in operating costs and achieve a 5-10 times annual ROI.

About Falkonry

Falkonry is the leading enabler of predictive operations for companies looking to achieve significant improvements in the uptime, yield, quality and safety of their operations. Falkonry enables operations teams to discover, explain and predict behaviors that matter, without requiring data scientists. Falkonry’s “pre-packaged” machine learning system, Falkonry LRS, complements a user’s domain expertise to more deeply understand their operations, and can scale across assets, processes and operations. For more information about Falkonry and its products, please visit www.falkonry.com.



Contact:

Erika Powelson
Powelson Communications, Inc. for Falkonry
pr@falkonry.com
408-781-4981

Featured Video
Jobs
Advanced Mechanical Engineer for General Dynamics Mission Systems at Canonsburg, Pennsylvania
Mechanical Engineering Technical Leader for Cisco Systems Inc at San Jose, California
Mechanical Engineer for PTEC Solutions at Fremont, California
Senior Software Engineer (GIS) for SeeScan, Inc. at San Diego, California
Upcoming Events
GeoSpatial World Forum 2024 at Postillion Hotel & Convention Centre WTC Rotterdam Netherlands - May 13 - 16, 2024
Geo Busines 2024 at Excel London United Kingdom - Jun 5 - 6, 2024
Esri User Conference 2024 at san diego CA - Jul 15 - 19, 2024



© 2024 Internet Business Systems, Inc.
670 Aberdeen Way, Milpitas, CA 95035
+1 (408) 882-6554 — Contact Us, or visit our other sites:
AECCafe - Architectural Design and Engineering EDACafe - Electronic Design Automation TechJobsCafe - Technical Jobs and Resumes  MCADCafe - Mechanical Design and Engineering ShareCG - Share Computer Graphic (CG) Animation, 3D Art and 3D Models
  Privacy PolicyAdvertise