Improve the performance of
your Machine Learning
models in production

Get the best return on your ML investment.

ML projects are delivering business value, and of those respondents with ML models in production, 81% report successful business outcomes. That’s according to our Machine Learning in Australia National Pulse Report 2021. We surveyed over 200 organisations to find out why this transformative technology is not yet being adopted at the rate it should be.

Respondents who were experimenting with ML said that they struggled with model accuracy and productionising their PoC. They also reported problems with picking the right tools, data immaturity and a general lack of ML skills.

Download our report to find out how you can overcome these issues with insights into the current state of ML in Australia, as well as tips on how to scale and productionise your ML model.

Download our ML report

In this Lunch & Learn, DiUS Machine Learning Engineer Shahin Namin discusses some of the challenges faced by organisations and shares what we’ve learnt in helping our clients to successfully productionise machine learning projects.

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DiUS helped bolttech enable a new kind of customer experience. Using pioneering remote diagnostics technology, it quickly and easily onboards customers onto device protection plans.

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