Application of “Artificial Intelligence” to Enterprises can generate huge ROI for the business. Since the overall goal of intelligence is to allow machines to function in an intelligent manner, almost similar to how humans do, any enterprise can apply this to a large number of activities.
Across Retail, Travel, Hospitality, Banking and Telecom sectors, there are now a number of use cases where employee productivity is being improved with AI support, resulting in better outcomes for business. The simplest example here is that of ChatBOTs to guide Customers through the buying process or to help address grievances.
The other extreme is specialized software to recognize speech from a microphone, read license plates off a video file, identify faces on camera etc. all of which have wide-spread application across industries.
Sentiment Analysis of user sentiment from social media feeds like Twitter and Facebook, Natural language processing for self-service analytics, defect analysis using vision processing are some other areas where AI is being applied.
Internally, AI helps improve efficiency of daily tasks, guiding employees through incomplete/incorrectly performed tasks, suggesting improvements and even performing a part of the task.
Machine learning is a type of artificial intelligence (AI) lets computers learn without being explicitly programmed. It uses various statistical modelling techniques for converting big data into intelligence.
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AI applications include bot messaging/support, document discovery, voice analytics, text sentiment analytics and crawling techniques. Some common examples of machine learning applications include:
|Demand Forecasting, Social sentiment analysis, Purchase Assistance
|Facial recognition, Video Clip/Voice Analysis
|Personal Assistant, Customer Experience, Geolocation based services
|Account Balance, Fraud Detection, Payment Reminders
|Search and compare, Live updates, Geolocation based services
|Billing information, Payments
Azure Bot Service
Text Analytics API
Azure Machine Learning