Press release

CEO of SymphonyAI Industrial to Speak at Saudi IoT Conference


Dominic Gallello will share successful predictive maintenance and yield optimization use cases of the Industrial AI platform driving value in process manufacturing

LOS ALTOS, Calif. – March 2, 2020 – Symphony Industrial AI announced today that CEO Dominic Gallello will speak at the Saudi International Exhibition and Conference for Internet of Things, held in Riyadh, Saudi Arabia on March 8-10. Gallello will discuss the real-world impact AI is having on industrial operations today, and in the future.

Click to Tweet: Symphony Industrial AI and @SymphonyIndustrialAI CEO Dominic Gallello to speak at @saudiiot: #IoT #IIoT

Gallello will speak in a keynote session entitled “AI for Predictive Maintenance and Yield Optimization – Real World Examples” on March 8, and on a panel, “How Artificial Intelligence will unlock the future,” on March 9.

Today in most cases, firms do not use most of the industrial data they collect. That’s unfortunate since this data could be used to avoid costly downtime when equipment fails or underperforms. When AI predictive analytics are applied to industrial sensor data, companies can improve uptime, performance, and efficiency. Firms can control costs through predictive maintenance for industrial equipment and yield optimization to identify variables that can be tuned to improve yield.

Dominic Gallello, CEO of Symphony Industrial AI and IndustrialAI, said: “The rapid advances in computing, sensor technologies, cloud and IoT generate more data than ever before. Industrial companies need advanced software tools and predictive analytics in the form of AI and machine learning to create meaningful business outcomes. Our Industrial AI platform consumes real-time industrial data streams and—with edge- or cloud-based analytics—predicts critical failures, detects anomalies, drives asset efficiencies, and optimizes production yields. I look forward to sharing our successes at this event.”

Gallello will present two production use cases. The first is predictive maintenance for a large multi-stage centrifugal compressor asset, using vibration and process data provide early detection of faults. The second is improved ammonia production in petrochemical plants, showcasing how AI and a digital twin work with existing advanced process control systems to deliver higher production yields.

About SymphonyAI Industrial

SymphonyAI Industrial is the emerging leader of industrial IoT and AI-based process-centric software solutions used to predict the operational performance, inefficiencies, and health of industrial processes and assets. SymphonyAI Industrial solutions use state-of-the-art cloud technology combined with leading sensor and edge computing capabilities to enable customers to continuously improve operational excellence. SymphonyAI Industrial is a subsidiary of SymphonyAI Industrial.

About SymphonyAI

SymphonyAI is the fastest-growing private group of B2B AI companies, backed by a $1 billion commitment to deliver next-generation AI solutions for transforming the enterprise. SymphonyAI addresses use cases in healthcare and life sciences, retail and CPG, industrial manufacturing, energy, oil & gas, media and entertainment, defense, and financial crime prevention. Since its founding in 2017, SymphonyAI has grown rapidly to a group of seven companies with a combined revenue run rate of more than $300 million. Over 2,000 talented leaders, data scientists, and other professionals operate the group under the leadership of one of Silicon Valley’s most successful serial entrepreneurs, Dr. Romesh Wadhwani. Website:

PR contact:
Kara Luk
Nadel Phelan, Inc.