ABOUT AMAZON MONITRON
Sensors that measure vibration and temperature attach on assets and transmit data through the gateway to the AWS cloud. The dashboard and special AI/ML algorithms to detect anomalies are automatically setup up and ready to go just hours from installation.
NO RISK PILOTS FOR AMAZON MONITRON
Amazon Web Services (AWS), in partnership with DecisionIQ, has launched a program to fund Amazon Monitron pilots for qualifying industrial companies.
A NO RISK 90 DAY PILOT
An AWS Funded Monitron Pilot
For maximum ROI and a great skills development, let us help you with your Monitron pilot. Our time is courtesy of AWS.
EXPERT COACHING
Learn the Secrets to Best Results
Our structured coaching will teach you the secrets to working with AI PdM system. This includes asset selection, sensor installation and interpreting AI-based alarms, which are different!
NO DATA SCIENCE SKILLS REQUIRED
Monitron AI/ML is Automated
Save big because no data science personel are required to set up and manage the AI/ML models. With Monitron, its fully automated. So is dashboard set up.
FINISH WITH A DEPLOYMENT PLAN
A Plan Based on Your Operation
Based on the results from the pilot, we provide a deployment plan, budget and expected ROI. Everything you need to make a structured decision.
MONITRON PILOT PROGRAM OUTLINE
Get the Program Details
AmazonWeb Services (AWS), in partnership with DecisionIQ, has launched a pilot program to collaborate with industrial companies to support them on their journey to drive digital transformation.
RAVE REVIEWS
Endorsements from a few of our esteemed clients
"DecisionIQ’s role as a catalyst in our Amazon Monitron POC was fundamental to its great success. We achieved an outstanding ROI and the experience to deploy at scale, which is now underway."
A.K. Karan - Global Senior Director, Digital Transformation at Baxter International
"DecisionIQ helped us reach the next level in our adoption of AI for Predictive Maintenance."
Titus Davis - Director of Digital Transformation at
Georgia Pacific
"You're the only analytics company able to diagnose and predict these network failures. Well done!"
Ted Boone - Director Network Engineering at Cox Communications
OUR HISTORY WITH AI...
Over $22M in Maintenance Savings Idenitified
Asset health in life sciences
Asset health in wood products monitoring multiple sites
Drink machines with asset health detection
Cable digital network predictive failure prediction
AI /NLP integration into maintenance for miltary aircraft
Experienced Leadership
We're skilled mechanical engineers who have been working with AI-based predictive maintenance systems since 2016. With over 25 successful PoCs, pilots, and deployments, and more than 70K installed wireless vibration sensors, we help you take your operational performance to the next level.
Andrew Lewis
CEO/AI Deployment Engineer
Andrew founded DecisionIQ in 2015 and has since led the Company to numerous successful predictive maintenance POCs and deployments. With extensive experience in multiple predictive maintenance platforms, he utilizes AI and human inference to create solutions that enable efficient and high-quality decision making, leading to big wins on virtually all projects. Andrew's prior technology experience includes fighter aircraft development at the General Dynamics F-16 Skunkworks, co-development of high-performance computer platforms with Apple, and integration of AI systems with AWS.
Andrew graduated with a BS in Aerospace Engineering from Georgia Tech and an MBA from the University of Chicago, Graduate School of Business. LinkedIn...
Jon Stroup
Business Development Engineer
Jon held executive roles over the past 14 years at Advocate, an IT consulting and managed services firm, that empowered over 600 global enterprises to optimize their technology infrastructure and realize cumulative savings of $20 billion. Jon served as Regional VP Sales and VP of Strategic Partners where he was instrumental in building a partner ecosystem that supported Advocate’s mission to provide best-in-class IT Financial Management and Cost Optimization solutions that delivered excellent value to clients. Accenture acquired Advocate in 2022. In prior positions, Jon was involved with industrial, laboratory testing, and telecommunications equipment.
Jon graduated with a BS in Mechanical Engineering from Princeton University and an MS in Engineering from the Massachusetts Institute of Technology. LinkedIn...
Matt Alberts
Industrial AI Engineer
Matt is a mechanical engineer and digital transformation manager with 15+ years of experience across 65+ enterprise sites in heavy manufacturing, oil & gas, petrochemical, pulp, paper, and wood products. He has hands-on experience scaling and operationalizing over 70K sensors at major enterprises, including Georgia Pacific and Lyondell Basell. Matt's change management skills have proven effective in achieving worker adoption of new AI-based workflows.
Matt graduated with a BS in Mechanical Engineering from Georgia Tech and is a Certified Maintenance & Reliability Professional (CMRP). He is now working on his PhD in Industrial Engineering at University of Tennessee. LinkedIn...
Get IQ for Predictive Maintenance
A blog full of real world experience guiding our clients on their journey to success with Industry 4.0 projects. This experience is the foundation of our mentoring program for maintenance leadership and technicians.
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