Knowing how to apply the right machine learning algorithms to a specific business challenge takes a lot of skill and experience - and our team at Harmonic have both in spades. In this case study, we see how applying the right mix of machine learning algorithms and analytics can derive some incredible insights that go a long way in helping improve farm profitability in New Zealand.
A wide variation in profitability exists between farmers across New Zealand. Beef and Lamb wanted to understand what key attributes make the top 10% farmers …
Control Rooms are constantly inundated with thousands of network alarms. With overwhelming amounts of alarm data, determining root cause and priority amongst the noise is a challenge. Data visualisation, machine learning and advanced analytics can help address these challenges.
To improve alarm management and resolution, a large electrical infrastructure company needed a quick and visual way to identify, analyse and prioritise trends and patterns …
Recruiting the right data science talent can be a challenge but it is not the only path to increasing your data science capabilities. In this case study, we look at how a large energy sector operator successfully upskilled existing staff by working closely with Harmonic.
A large Australian energy sector operator wanted to develop its internal data science team capabilities to improve forecasting accuracy, the automation of analytical processes, and …
Helping Airways New Zealand maximise the value and application of their data – and plan for the future.
As part of their roster planning process, Airways wanted to confidently and efficiently model a set of optimal shifts for air traffic controllers given numerous …