Application Integration, Support and Maintenance, Training, Customization, and Installation Services: Global Market Analysis and Forecasts
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. Significant time, resources, and capital usually must be deployed, and in most cases, internal company teams are not experienced enough with AI, nor do they have the cutting-edge data science skills to adequately embark upon a truly transformational AI implementation journey.
InfoQuest Addresses these Questions:
- What kind of AI services are required when launching a full, organization-wide AI solution?
- What factors in an AI deployment will impact the cost of services?