Univa's Grid Engine Solutions: A Canadian Innovation
In today’s digital world companies are facing data overload. Finding a way to delve into that data while getting simplified results has become an overall question to which many businesses worldwide have been searching for a solution. The Univa Corporation says they have the answer to big data’s problems: grid computing.
Grid computing got its start with Sun Microsystems in the early 2000s. Purchasing grid computing technology, Sun Microsystems bundled the service into its server solutions as open source technology. This has resulted in approximately 10,000 data centres worldwide that still utilize the technology today. When Sun Microsystems was purchased by Oracle, the company decided to move in a different direction and left grid computing behind, allowing Univa to pick up the pieces.
A company that’s US-based but Toronto headquartered, the Univa Corporation has taken over the reins in the grid computing solution world. As Univa was founded by the person who termed the phrase “grid,” the company has been providing exceptional grid computing solutions to clients. As the technology is an open source, Univa converts customers by providing exceptional service at fair market value.
“The technology is used in product development research, answering scientific questions and helping people get the question answered faster,” said Gary Tyreman, CEO of Univa Corporation. “What we’re really doing is massive data computation. Today, the big trend everyone is talking about is big data. Our view is there’s a lot that can be learned, as people try to employ big data solutions when seeking new answers, from what has been done for the last 17-20 years in industries across the world.”
Working with leading companies such as BP, BMW, and Panasonic, it’s clear grid computing can provide solutions for a variety of industries.
“We are seeing companies that are taking technology and building new applications, but instead of putting in its own environment, they’re putting it into a shared environment. A product like the grid engine is capable of supporting those kinds of mixed workloads,” says Tyreman.
The company has expanded through Univa’s expertise to employ 25 people in the US, Germany and Canada. Why put the headquarters in Canada? Univa saw added benefits in investing in the country such as the technical talent pool, the quality of staff and the affordability of the people.
In the end, Univa has been finding solutions for companies successfully due to its technological innovation. As more industry leading companies see the need for data interpretation, it’s clear Univa will see even more success as it has the solution that will not only help but save on its clients’ operational costs.
Intelliwave SiteSense boosts APTIM material tracking
“We’ve been engaged with the APTIM team since early 2019 providing SiteSense, our mobile construction SaaS solution, for their maintenance and construction projects, allowing them to track materials and equipment, and manage inventory.
We have been working with the APTIM team to standardize material tracking processes and procedures, ultimately with the goal of reducing the amount of time spent looking for materials. Industry studies show that better management of materials can lead to a 16% increase in craft labour productivity.
Everyone knows construction is one of the oldest industries but it’s one of the least tech driven comparatively. About 95% of Engineering and Construction data captured goes unused, 13% of working hours are spent looking for data and around 30% of companies have applications that don’t integrate.
With APTIM, we’re looking at early risk detection, through predictive analysis and forecasting of material constraints, integrating with the ecosystem of software platforms and reporting on real-time data with a ‘field-first’ focus – through initiatives like the Digital Foreman. The APTIM team has seen great wins in the field, utilising bar-code technology, to check in thousands of material items quickly compared to manual methods.
There are three key areas when it comes to successful Materials Management in the software sector – culture, technology, and vendor engagement.
Given the state of world affairs, access to data needs to be off site via the cloud to support remote working conditions, providing a ‘single source of truth’ accessed by many parties; the tech sector is always growing, so companies need faster and more reliable access to this cloud data; digital supply chain initiatives engage vendors a lot earlier in the process to drive collaboration and to engage with their clients, which gives more assurance as there is more emphasis on automating data capture.
It’s been a challenging period with the pandemic, particularly for the supply chain. Look what happened in the Suez Canal – things can suddenly impact material costs and availability, and you really have to be more efficient to survive and succeed. Virtual system access can solve some issues and you need to look at data access in a wider net.
Solving problems comes down to better visibility, and proactively solving issues with vendors and enabling construction teams to execute their work. The biggest cause of delays is not being able to provide teams with what they need.
On average 2% of materials are lost or re-ordered, which only factors in the material cost, what is not captured is the duplicated effort of procurement, vendor and shipping costs, all of which have an environmental impact.
As things start to stabilise, APTIM continues to utilize SiteSense to boost efficiencies and solve productivity issues proactively. Integrating with 3D/4D modelling is just the precipice of what we can do. Access to data can help you firm up bids to win work, to make better cost estimates, and AI and ML are the next phase, providing an eco-system of tools.
A key focus for Intelliwave and APTIM is to increase the availability of data, whether it’s creating a data warehouse for visualisations or increasing integrations to provide additional value. We want to move to a more of an enterprise usage phase – up to now it’s been project based – so more people can access data in real time.