Manufacturing and utilities companies are challenged with increasing the performance of their assets amid an aging infrastructure, retiring workforce, and rapidly changing technology. Falkonry has uncovered a new way of working with existing automation and control architectures to provide predictive insights using time-based pattern recognition, fed from real-time data.
Falkonry works with your staff, leveraging their resident knowledge, to provide context and meaning to the patterns. It ‘institutionalizes’ learning, using both artificial intelligence and machine learning, enabling continuous improvement for operations. This webinar will discuss how users are better able to predict downtime, maximize uptime, yield and quality using pattern recognition technology.
After viewing this webinar, visitors will take away:
Meet our Speaker:
CEO & Founder
Nikunj Mehta started Falkonry in 2012 under the belief that operational excellence comes from thorough and up-to-the-minute understanding of system conditions. Nikunj gained experience with operations and analytics challenges at the world’s largest and most sophisticated industrial organizations at C3 Energy as its Architect and VP of Customer Success.
Nikunj has a Ph.D. and M.S. in Computer Science from USC, and a B.E. in Computer Engineering from University of Mumbai. He has contributed to standards at both W3C and IETF.