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Artificial intelligence is already being used in businesses across industries – from retail to telecommunications to travel and hospitality. Yet as AI usage continues to expand, the misperceptions regarding AI’s role in the corporate world are impacting companies’ next steps in their industries. It’s time to leave those myths behind and instead focus on AI’s potential.
Currently, artificial intelligence (AI) technologies are having an increasing impact on many aspects of daily life. Artificial intelligence refers to the capability of a machine to mimic or approximate the capabilities of humans.
When companies compete on the basis of customer experience, the metric that is most often used to gauge performance is customer satisfaction (CSAT). And while CSAT is certainly an important measurement for any company to track, it’s not the only (and probably not the most complete) one.
With a company-wide initiative to improve customer experience, Westar Energy wanted a customer care solution that would cut down on Customer Service Representative (CSR) handle times and improve self-service transactions.
As a company, it’s important to provide the best security for your customers. And with so many potential ways for strangers to hack into accounts and steal someone’s identity, a foolproof way to verify your customer’s identity is crucial – for your business and for your customers.
For many consumers, social media is increasingly becoming a preferred care channel. But for businesses, this channel comes with its own unique challenges that distinguish it from the rest of your customer care strategy.
From the 1950s to now, machine learning has significantly developed. Below is a brief history of machine learning, and how Interactions, and AT&T, played a strong role in the process. To learn more about machine learning, its techniques, and the role it will play in the future, download our new whitepaper below.
It’s no secret that providing a great customer experience brings tremendous benefits for brands, including increased customer satisfaction, improved brand loyalty, and even additional revenue opportunities.
At Interactions, we talk a lot about machine learning, but its definition and use are often misconstrued. Whether we know it or not, we encounter some type of machine learning on a daily basis, making it increasingly important to understand what it is, how it works, and how it will affect our future.
