
A Thank You, Two Years Running!
I have written a few of these notes over the years, and I will admit that this one is harder to write than most. Not
As organizations look to improve efficiency, reduce downtime, and optimize maintenance operations, digitization has become a necessity. However, adopting the right digital solution requires careful planning to ensure seamless integration, minimal disruption, and long-term value.
This guide is designed to help organizations navigate the digitization of asset maintenance with a clear, strategic approach. It covers key considerations, including:
With practical insights and actionable strategies, this guide provides a roadmap for implementing a digital maintenance solution that enhances reliability, streamlines workflows, and supports data-driven decision-making.
Download the guide now and take the next step toward a more efficient, digitally powered maintenance operation.

I have written a few of these notes over the years, and I will admit that this one is harder to write than most. Not

Connixt’s iMarq Summer 2026 release introduces three updates targeting everyday fleet maintenance challenges. A new Tires module tracks the full lifecycle of each tire by position and inspection history. Direct Isaac Instruments integration automatically generates work orders from driver defect reports and fault codes. Pinpoint, a new iBot capability, lets technicians query their own equipment manuals and get cited answers instantly.

Connixt’s iMarq Summer 2026 release introduces three updates targeting everyday fleet maintenance challenges. A new Tires module tracks the full lifecycle of each tire by position and inspection history. Direct Isaac Instruments integration automatically generates work orders from driver defect reports and fault codes. Pinpoint, a new iBot capability, lets technicians query their own equipment manuals and get cited answers instantly.

iMarq now integrates directly with Isaac Instruments telematics, creating a closed-loop process from defect detection to resolution. When a driver logs a DVIR defect or a fault code triggers automatically, a work order lands instantly on a technician’s mobile device. Completed repairs sync back to Isaac and your CMMS, eliminating missed defects and building a timestamped audit trail automatically as work happens.

How AI is transforming predictive maintenance for North American railroads, shifting the industry from scheduled repairs to data-driven prediction.

Utility assets age unpredictably, yet most utilities still rely on scheduled inspections and reactive repairs. The real barrier to smarter maintenance isn’t sensor technology but fragmented data spread across disconnected systems. Connecting inspection records, work orders, and asset histories into a unified view enables condition-based planning, helping utilities make better capital decisions and reduce the risk of unexpected failures across their service territories.