From our smartphones, industrial machines, and office applications to AI-powered appliances and everything else, data is here to stay for longer than we can ever remember! Artificial intelligence or AI, has already received a lot of buzz in the past decade, but it continues to be one of the new technology trends because of its notable effects on how we live, work and play are only in the early stages. Other than that AI will be used further to analyze interactions to determine underlying connections and insights, to help predict demand for services like hospitals enabling authorities to make better decisions about resource utilization, and to detect the changing patterns of customer behavior by analyzing data in near real-time, driving revenues and enhancing personalized experiences. With AI spreading its wings across sectors, new jobs will be created in development, programming, testing, support and maintenance, to name a few. Machine Learning the subset of AI, is also being deployed in all kinds of industries, creating a huge demand for skilled professionals.

Artificial intelligence (AI) has worked its way into a variety of industries, from the obvious (autonomous vehicles) to the hidden (anti-money laundering due diligence). But while organizations are clearly recognizing the value associated with incorporating AI into their business processes, they also are encountering a number of challenges with integrating this new intelligence into their operational processes. The value of using algorithms to unmask hidden patterns and then correlate findings with other seemingly unrelated variables to create real "intelligence" is becoming increasingly clear with each completed proof-of-concept (POC) project. But it is the larger, organization-wide deployment of AI that will generate the return on investment (ROI) that companies large and small have been seeking. To fully access the operational and economic benefits of AI, however, organizations are realizing that, in most cases, enabling AI is not a plug-and-play proposition.

Artificial intelligence (AI) has worked its way into a variety of industries, from the obvious (autonomous vehicles) to the hidden (anti-money laundering due diligence). But while organizations are clearly recognizing the value associated with incorporating AI into their business processes, they also are encountering a number of challenges with integrating this new intelligence into their operational processes. The value of using algorithms to unmask hidden patterns and then correlate findings with other seemingly unrelated variables to create real "intelligence" is becoming increasingly clear with each completed proof-of-concept (POC) project. But it is the larger, organization-wide deployment of AI that will generate the return on investment (ROI) that companies large and small have been seeking. To fully access the operational and economic benefits of AI, however, organizations are realizing that, in most cases, enabling AI is not a plug-and-play proposition.

BOULDER, Colo.--(BUSINESS WIRE)--Artificial intelligence (AI) has worked its way into a variety of industries, from the obvious (autonomous vehicles) to the hidden (anti-money laundering due diligence). But according to a new report from Tractica, while organizations are clearly recognizing the value associated with incorporating AI into their business processes, they are also encountering a number of challenges with integrating this new intelligence into operational processes. Taking AI beyond the proof-of-concept phase to the enterprise scale will require a significant level of professional services to support large implementations, with key service categories including application integration, support and maintenance, training, customization, and installation. Tractica forecasts that the worldwide market for AI services will grow from $10.1 billion in 2017 to $188.3 billion by 2025. The market intelligence firm anticipates that the industry sectors using the highest levels of professional services to support AI deployments will include business services, consumer, healthcare, advertising, and automotive.