Machine Learning ReportUtilities Technology Report
Machine Learning has changed from being a niche subject to one which has significant relevance to many companies across a range of industries.
Machine Learning is an artificial intelligence technology which interprets data using algorithms to learn from successes and failures and to predict outcomes.
This report looks at the prospects for machine learning technology and what it means for investors.
Utilities companies have access to huge volumes of data such as smart metering systems and smart homes. The challenge for utilities is to make use of this data.
ML involves building computer algorithms which learn from existing data. Examples include predictive data models or software platforms that analyse behavioural data.
Many start-ups have taken machine learning and applied it to specific industry verticals, such as detecting bank fraud or preventing a cyber-attack. The progress of Machine Learning had been slow until around 2010 when advances accelerated in computing and with the emergence of huge real-time data sets.
The key trends that we expect to see in the ML sector over the next two to three years are discussed in this report. The trends are split into three categories: technology, macro-economic and ‘use case’ trends. Use the information in this report to stay ahead of the competition.