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Home Machine Learning

DiUS gets AWS machine learning competency

August 26, 2019
in Machine Learning
DiUS gets AWS machine learning competency
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DiUS’ Joe Losinno

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Credit: DiUS

Solutions provider DiUS has become the first partner in  Australia and New Zealand  to obtain the Amazon Web Services (AWS) machine learning competency, the company has claimed. 

The AWS Competency Program is designed to highlight AWS Partner Network (APN) partners who have demonstrated technical proficiency and proven customer success in specialised solution areas.

To become an AWS Machine Learning Competency Partner, companies undergo a rigorous validation process that focuses on technical proficiency with the AWS ML platform underpinned by proven customer successes. APN Partners must also successfully complete a technical audit of their ML practice.

There are a total of 12 solutions under the competency program, one of them being machine learning. Within this category, AWS has the data services, platform solutions, SaaS and API solutions and consulting partners sub-categories.

DiUS is one of the 23 partners in this group, which also includes industry heavyweights such as Accenture and Deloitte.

Established in 2004, DiUS started working with AWS in 2007 having officially become an AWS partner in 2012.

“DiUS has always prided itself on delivering innovative and impactful outcomes for its clients and more recently this has included solving complex, real-world business problems through the application of machine learning techniques and algorithms,” said DiUS co-founder and director Joe Losinno.

“It’s a natural extension of our core capabilities in data engineering, the cloud, big data and analytics. We are thrilled to be recognised by AWS as a leader in this area.”

DiUS has seen great demand from organisations in Australia to use machine learning to improve customer engagement and loyalty through to supporting scientific breakthroughs in the area of diagnosing life-threatening disease.


Read more AWS multi-cloud snub avoids ‘lowest common denominator’ approach

It also said that the most popular consumer-facing manifestation of machine learning it is seeing in the Australian market is conversational AI, one example being the Nibby chatbot DiUS built for NIB.

DiUS worked with exploration and mining company Solve Geosolutions to use image segmentation technologies as a way to reinvent the process for geologists to analyse drill core samples to generate geological information.

DiUS has formed a joint venture with Solve Geosolutions, to develop a machine-learning powered software product to improve the mineral discovery process.  

Launched on 1 May at the AWS Summit Sydney, the new SaaS product, DataRock, provides accurate, fast and consistent high resolution information about a mineral deposit’s geology aids better decision making throughout the entire mining cycle, according to DiUS.


Read more CMD Solutions, Olikka achieve AWS end user computing competency

In April, ASX-listed Arq Group was the first Australian managed services provider (MSP) to achieve mobile competency status with AWS.





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