Machine learning is developing at a rapid rate and is now being used more within many industries. It’s the process of teaching a computer system to make predictions based on a set of data. These decisions were previously something that a human would have to do, but now thanks to this technology, computers are able to do the job. These are just a few of the top ways in which machine learning is helping industries and could be used by your company in the future.

Estimate before a project begins

We all know how easy it is for a project to take longer than initially expected to complete. In order to help improve the estimation process, machine learning can be used to create project projections. It uses data from your previous work to arrive at a budget estimate for future projects. It looks at forecasts, features, and can then formulate a plan, that can save a lot of time and minimise the chance of errors and frustration for your project.

Decision-making processes

Production teams spend so much time going back and forth discussing the options available for their upcoming work. This takes up precious time that could be spent elsewhere and often delays the start of the project. Machine learning analyses your work and provides you with the information you need to make appropriate decisions. Risks associated with projects are minismised and time spent on areas that aren’t necessary for the successful completion of your project is avoided.

Prototypes

Prototypes are a critical part of any project, but it often takes months of discussions and prototypes to reach a solution. Machine learning could reduce this lengthy process to just a few days, using up fewer hours in the day for the experts within your team.

We always encourage anyone undertaking manufacturing, engineering, or production projects to use prototyping beforehand, and it’s now easier than ever, thanks to machine learning. Your project will go from the initial concept to a completed prototype rapidly, allowing you to start the main bulk of your work sooner than you would expect.

Testing

Along with prototyping, another area of frustration for teams is testing. Testing is critical to ensure your product is fit to be put out into the world. However, it can also be a time-consuming and costly part of the development process. Machine learning can offer companies more accurate testing and helps with safety checking.

This can free up extra time for your testing team that can be used on less repetitive and mundane tasks. For companies that don’t currently employ a large testing team, this is also a cost-effective solution instead of hiring new employees or adding to your existing employees’ workload.

Speeded programming

For products that also have an element of software involved, such as many electrical devices, machine learning can be as a programming assistant. Coding teams spend much of their time learning processes, and instead, programming assistants can learn from previous experiences. They’ll find errors during the development stage and can then identify any issues from system logs. Eventually, machine learning may fix issues without humans, but this is still being worked on.

Where to from here?

Machine learning is an incredible tool for a wide range of industries. We expect to see it used more frequently for all of the uses listed above where it will help to create flawless products and speed up the development. This technology can help to minimise errors and reduce the need for humans to do repetitive work they were previously subjected to.

If you’re looking to speed up your company productivity, as well as machine learning giving companies a boost, so can a bespoke business software system. To found out more contact the BSPOKE Software team or view our previous successes here.