by Angela Guess

A new release out of Evans Data reports, “Over a third (36%) of all developers who are actively working on Big Data or advanced analytics projects now use elements of machine learning according to Evans Data’s recently released Big Data and Advanced Analytics survey report.  While the market for machine learning is still fragmented, those developers actively working with machine learning are most likely to be targeting financial sectors, Internet of Things, or manufacturing. The survey of over 500 developers actively working with Big Data also showed that decision trees are the most used analytical model which links in closely with artificial intelligence and machine learning development.  Linear regression and logistics regression were the next most cited analytical models.  Logistics, distribution, or operations were the company departments most likely to be using advanced data analytics or Big Data solutions.”

Janel Garvin, CEO of Evans Data Corp, noted, “Machine learning includes many techniques that are rapidly being adopted at this time and the developers who already work with Big Data and advanced analytics are in an excellent position to lead the way… We are seeing more and more interest from developers in all forms of cognitive computing, including pattern recognition, natural language recognition, and neural networks and we fully expect that the programs of tomorrow are going to based on these nascent technologies of today.” The release adds, “In other findings, two-thirds of Big Data developers are spending at least some of their time instrumenting processes, forty-two percent are analyzing data in real time, and thirty-eight percent analyze unstructured data.  The top improvement to data and analytics that developers would like to see is the improved security of off-site data stores.”

Read more at Press Release Rocket.

Photo credit: Flickr/ rockindave1