Are organisations in Australia slow to adopt Machine Learning?

DiUS Machine Learning in Australia, National Pulse Report 2021
Our national pulse report

Here at DiUS, we’ve been talking with many companies about leveraging ML over the past five years and found most organisations want to adopt ML, yet this transformative technology is not being adopted at the rate it should be.

In fact, our experience has been that a great proportion of organisations struggle to move beyond proof-of-concept or pilot stage. Picking the right problem, data challenges, model accuracy and application integration can be big blockers, either delaying or preventing ML project success. However, we recognise that our observations may be incomplete, so we undertook a pulse of our clients and the broader Australian market.

The survey results from the 205 respondents confirmed what we are seeing: more organisations could be driving success with ML. There is a strong appetite for ML in the Australian market with 82% of organisations interested in ML, but only 21% in production.

Other key findings in the report include:

The majority (81%) of those organisations that are in production are reporting successful business outcomes. Some examples include:

Ultimately, the pulse survey confirms there is no one formula for success; there’s no one application or area doing disproportionately better than others. There are some significant challenges, however they are not insurmountable with organisations still progressing despite these hurdles.

Here at DiUS, we remain ever optimistic, understanding that ML is still an emerging area and there is no universal ‘best practice’ yet. There’s no set and forget solution for ML. The right approach, we’ve found, is to focus on the right problems, take an experimental approach, invest continuously in the latest advancements including cloud vendor tooling and open-source frameworks, build inhouse ML and supporting capabilities and ensure organisational buy-in.

Want to know more? The Machine Learning National Pulse report is available for download on the DiUS website. It outlines each stage of the ML journey and provides some key considerations and tips for organisations to consider when pursuing ML projects.

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We specialise in using emerging tech to solve difficult problems, get new ideas to market & disrupt business models.