Data is moving to the cloud. And as cloud applications are adopted, it means that many critical sources of data for analytics now, or soon will, live in the cloud. In fact, nearly nine in 10 participants in our research (89%) reported that they plan to use cloud-based analytics deployments, and the overwhelming majority of organizations (86%) expect that most of their data will eventually be in the cloud. But, as organizations look to embed analytics and reporting into their applications, they face many hurdles including high infrastructure costs, lack of domain-specific expertise and roadblocks that appear when scaling.
The artificial intelligence industry is unique in that it has evolved to the point of making dramatic impacts across other markets. AI is used to help businesses scale, improve customer experiences, decrease waste and streamline cumbersome tasks. Ventana Research sees the need for AI innovation for the future of technology and the many other industries it influences, but making such tools available to everyone at fairly low costs can be difficult. It is no surprise that nearly two-thirds (62%) of organizations report using machine learning today, and nearly three-quarters (72%) of organizations participating in our research say they plan to increase ML use.