Telemetry from 6M machines was trapped in internal silos. Unifying it into a shared platform lets customers deploy predictive AI.
A technology provider for the construction sector processing 3 billion daily data points from over 6 million connected machines.
Data across finance, engineering, and revenue operations was isolated in separate silos, creating massive internal inefficiencies. Furthermore, the...
“If we had built a platform ourselves, it would not have evolved at the same pace. Having that innovative engineering muscle that Databricks has—releasing hundreds of new features—is the key reason for us choosing it. It allows our customers to focus on eliminating downtime rather than maintaining infrastructure or scaling a platform. They just get the outcomes.”
IoT and telematics platform for construction equipment and fleet management.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Trackunit's Customer analytics platform is part of this use case:
Related implementations across industries and use cases
Seven brands, SQL Server 2002 to BigQuery—Monday's request landed Wednesday. Now a Slack question gets answered in seconds.
Acquisitions fragmented data into silos; regulated datasets took months to unlock for AI. Unified governance made them available instantly.
All data questions funneled through one team—anything that wouldn't make the queue went unexplored. Now teams self-serve through AI agents.
Acquisitions fragmented data into silos; regulated datasets took months to unlock for AI. Unified governance made them available instantly.
Fragile data pipelines bottlenecked engineers. Now, built-in workflows let teams ship internal AI tools without managing infrastructure.
Human sales teams clock out; buyers don't. Voice agents, accent-matched by region, now qualify and book site visits around the clock.
Surging delinquency burdened staff. Now, an AI assistant handles routine collections, freeing teams for high-touch, in-person engagement.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.
Telemetry from 6M machines was trapped in internal silos. Unifying it into a shared platform lets customers deploy predictive AI.
A technology provider for the construction sector processing 3 billion daily data points from over 6 million connected machines.
Data across finance, engineering, and revenue operations was isolated in separate silos, creating massive internal inefficiencies. Furthermore, the...
“If we had built a platform ourselves, it would not have evolved at the same pace. Having that innovative engineering muscle that Databricks has—releasing hundreds of new features—is the key reason for us choosing it. It allows our customers to focus on eliminating downtime rather than maintaining infrastructure or scaling a platform. They just get the outcomes.”
IoT and telematics platform for construction equipment and fleet management.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Trackunit's Customer analytics platform is part of this use case:
Related implementations across industries and use cases
Seven brands, SQL Server 2002 to BigQuery—Monday's request landed Wednesday. Now a Slack question gets answered in seconds.
Acquisitions fragmented data into silos; regulated datasets took months to unlock for AI. Unified governance made them available instantly.
All data questions funneled through one team—anything that wouldn't make the queue went unexplored. Now teams self-serve through AI agents.
Acquisitions fragmented data into silos; regulated datasets took months to unlock for AI. Unified governance made them available instantly.
Fragile data pipelines bottlenecked engineers. Now, built-in workflows let teams ship internal AI tools without managing infrastructure.
Human sales teams clock out; buyers don't. Voice agents, accent-matched by region, now qualify and book site visits around the clock.
Surging delinquency burdened staff. Now, an AI assistant handles routine collections, freeing teams for high-touch, in-person engagement.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.