Uptake Technologies: more miles from data


SPONSORED CONTENT: AI-powered predictive maintenance leverages existing data to increase up-time and decrease maintenance costs for today’s trucking fleets

Uptake Technologies: more miles from data
Uptake focuses acutely on asset uptime and maintenance optimisation

 

Today’s fleet operators can now know more about their fleets than their predecessors ever could.

The first decade of the 21st century was focused on building data collection capabilities. Success in the second decade is defined by how to best to deal with the now overwhelming amount of data that’s being collected – and how to get more value from that data.

Transport executives – along with those in charge of locomotives, mining equipment, wind turbines and airplane engines – not only have impressive sources of data on how their assets are performing, they’re drawing from a well that’s far deeper than they can effectively utilise.

Make no mistake: It’s a huge advancement to have access to data that covers the likes of driver behaviour, GPS location, component sensor data and fault codes.

However, the challenge is to get up to speed with the flow of data, turn that data into meaningful insights and stay on top of it. The good news is that advanced technology is now available to solve this challenge.

Uptake has built its international business on using artificial intelligence (AI) and machine learning to identify complex patterns within the immense amount of fleet data from telematics devices and other enterprise systems.

The upshot is the ability to execute cost-effective preventive and predictive maintenance, which delivers significant cost savings and operational and productivity gains.

Uptake has entered the Australian truck market after building a customer base in the rail and heavy equipment sectors over the past two years in the country.

For senior sales director Braden Pastalaniec – a seasoned fleet, logistics and supply chain professional – Uptake’s approach to transport fleets is entirely practical.

Rather than act as a project manager for a specific data task, Pastalaniec says that Uptake focuses acutely on asset uptime and maintenance optimisation.

"We’ve got a really defined use case where we can ingest the telemetry data, we can ingest the historical maintenance data and, within weeks, we can start delivering actionable insights to our customers. They can use our insights and take action at the asset level to turn unplanned downtime into planned downtime," Pastalaniec says.

"The difference in how the interaction works with Uptake is this: We have defined use cases that we know deliver tangible financial value to our customers. The data that’s needed to make this a reality is all available in the commercial fleet space."

A common question Uptake hears is this: Why haven’t OEMs already solved this problem?

The company offers three main points:

•   Only a small fraction of today’s trucking fleets have a totally homogenous fleet. Integrating and analysing data across multiple different data sources drains a tremendous amount of time and resources. This situation could be dramatically improved if fleets had a holistic, unified view of their data landscape, regardless of manufacturer.

•   Data from trucks is readily available from OEMs, along with drivetrain and component manufacturers. However, even though the data can potentially be extremely useful to fleets, there’s simply too much of it to make sense of.

•   OEMs, while excellent in their core competency, are losing the battle for talent in the otherwise foreign and competitive ground of data science expertise.

Uptake says its technology is proven to deliver financial value to fleets of all sizes. Even for smaller fleets, Uptake brings to bear insights that it’s gained from monitoring 1.3 million industrial machines over 2.1 billion hours of learning. For diesel vehicles alone, Uptake has deployed 25 predictive models, which turn raw data into predictive insights.

Tom Fisher, Uptake’s VP for Australia, New Zealand and South East Asia, explains "by driving uptime in your assets, you’re increasing your top line revenue".

"If you’re on the road and not down, you’re creating revenue for your organisation. And ultimately, if you can reduce your number of workshop visits – and increase your jobs per visit by understanding the condition of all the components of an asset – now you’re really creating efficiencies and operational savings."

 

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