In tracking artificial intelligence trends, Gartner estimates that AI technologies will be in almost every new software product and service by 2020. What’s more, 30 percent of CIOs said that AI will be a top five investment priority in 2020.
But with any emerging technology there are numerous challenges to watch out for. One of the biggest challenges for enterprises that plan to invest in AI is the staffing element. Artificial intelligence trends tell us that it is an extremely competitive field and the average salaries for machine learning candidates with the right skills and knowledge start at $300,000 per year.
To bridge this gap, cloud vendors like Amazon Web Services (AWS), Microsoft and Google are offering machine learning tools that are accessible to developers and IT pros without a Ph. D in neural networks. In 2018, expect to see a lot more machine learning capabilities built into public cloud as hyperscale cloud vendors embrace artificial intelligence trends, and help users see how the tools can add business value.
The promise of machine learning could bring more users to the cloud in 2018. The Department of Defense (DoD), for example, is moving more workloads to the cloud in order to eliminate siloes that make it difficult to share and parse data – an essential ingredient for effective artificial intelligence modeling. A recent report by LogicMonitor said that machine learning and AI will drive 66 percent of public cloud use by 2020, up from 50 percent today.