What is Machine Learning?
Machine Learning is a type of data analysis that automates the building of detailed models and algorithms.
It is often considered a branch of Artifical Intelligence (AI) that utilizes a set or sets of data to identify patterns and help make decisions with minimal human intervention. Machine Learning is used to calculate customer lifetime value, customer churn rate, next best action or next best offer, interaction volume forecasting, employee churn, and many other important numbers for contact centers.
Machine Learning is often used with tools like R-Studio or Azure Machine Learning to expedite the analytical modeling.
Machine Learning is an AI technology that can mimic human learning capabilities of learning and teaching without being programmed.
TTEC infuses Machine Learning into our AI and automation solutions, so the technology consistently becomes more intelligent with each use. Our clients can enhance both employee and customer experiences (EX and CX), while also increasing business productivity and cutting costs with TTEC's AI and automation solutions.
Additional TTEC Resources
- Machine Learning: The Next Generation of Customer Insights : Artificial intelligence comes to everyday business, and analytics will never be the same.
- The Equation for Engaged Employees: Gamification, Bots, Machine Learning and Human Intellect: Lamont Exeter, VP, TTEC Digital, describes smart strategies in learning and performance that drive employee engagement.
- Building a Chatbot? Don’t Forget the Customer: The bots are coming, the bots are coming! Chatbots are stealing our jobs.
- Customer Centricity Starts at the C-Level: In a changing business environment Xerox Chief Marketing Officer Christa Carone works closely with her C-level colleagues to shed old brand perceptions and partner with customers for long-term strength.
- The Advent of the Technology-Enabled Marketer: Today’s cross-channel customer is creating new challenges – and opportunities – for marketers to engage with consumers who are constantly shifting between digital and offline channels.