Published: 11 August 2014
Summary
Machine learning, already one of the most versatile technologies of the past decade, will gain even more traction in a digital business. This research, aimed at the architects of digital business, discusses the technology basics, benefits and pitfalls, and the abundance of use cases.
Included in Full Research
- Technology Description
- A Quick Illustration of Supervised Learning
- Operating Requirements
- Uses Cases
- Sales and Marketing
- Risk and Fraud Management
- Public Services, Smart Cities, Smart Transportation
- Supply Chain Processes and Digital Production
- Healthcare
- Cognitive Abilities for Better User Interfaces
- Benefits and Risks
- Vendor Selection Guidelines
- Building a Machine Learning Solution In-House
- Buying a Packaged Analytic Application That Contains Machine Learning Components
- Outsource (or Crowdsource) the Custom-Building of a Machine Learning Solution