-
Technology
-
Industry
-
Solutions
-
- ASSET MANAGEMENT
- CUSTOMER EXPERIENCE MANAGEMENT
- CYBER SECURITY
- DATA CENTER
- DOCUMENT MANAGEMENT
- ELECTRONIC DATA INTERCHANGE
- ENTERPRISE DATA MANAGEMENT
- ENTERPRISE RESOURCE PLANNING
- ENTERPRISE RISK MANAGEMENT
- ENTERPRISE-GRADE WEB DATA SOLUTIONS
- FACILITY MANAGEMENT
- FIELD SERVICE
- IDENTITY AND ACCESS MANAGEMENT
- INFRASTRUCTURE
- IT SERVICE MANAGEMENT
- MANAGED IT SERVICES
- PAYMENT AND CARD
- PROJECT MANAGEMENT
- SOFTWARE TESTING
- STORAGE
- VIDEO SOLUTIONS
- WORKFLOW
-
-
Platforms
-
Functions
- Leadership Perspectives
- Innovation Insights
- Research
- Magazines
- News
- CXO Awards


Artificial Intelligence (AI) is improving with a surprising pace, fueled by research and investments in hardware, algorithms, and clever applications of the two by forward-thinking organizations. It is easy to see some of this progress in the consumer context as we marvel about the future of the self-driving car or experiment with digital assistants, but AI is being applied “behind-the-scenes” to enterprise challenges to even greater effect. AI has already proven its value in many areas: supply chain optimization, marketing personalization, human resource management, fraud identification, predictive maintenance—but clearly this is only the beginning. As companies solve discrete challenges with AI, they can begin to connect those solutions, gradually building an enterprise with a super-competitive mix of artificial and human intelligences— Enterprise Artificial Intelligence. It might seem “sci-fi” if it were not already happening.
However, many of these companies have not realized a significant ROI from their investments. Similarly, as the Internet of Things (IoT) has expanded and the quantity and quality of sensor data improves, organizations can struggle to maximize the value of their investments in enterprise infrastructure. 

