Enterprise Services, Enterprise Decision Maker
By Camille Mendler 20 Feb 2020
The boring truth about private networks is this: most private networks are local area networks, and enterprises desperately need someone else to manage them.
Artificial intelligence (AI) holds the key to a promising era: one in which machines, working in tandem with humans, will spark a new wave of innovation and create meaningful interactions.
AI is playing a vital role in a wide variety of companies and lines of business and is already revolutionizing many industries. From pharmaceutical companies that are applying AI to uncover new drug therapies to financial services firms using AI to thwart data breaches, AI's role and benefits are proving to be abundant.
One enterprise function that will see sizeable investment in the near term is customer service because of the availability of abundant amounts of historical customer data. Deploying AI-powered bots, or intelligent agents, to improve the customer experience is an optimal way to meet customer expectations while reducing costs. However, the deployment of AI isn't a one-size-fits-all approach. Even so, enterprises that follow these five overarching themes when deploying AI into their customer service organizations should successfully meet customer and employee expectations.
With AI, poor deployment can lead to poor results. Those involved in creating a plan must ensure that AI-powered bots work to build trust with customers and not destroy it. To ensure AI's continued success, enterprises must adhere to these steps:
The more conversations your virtual assistant has, the smarter it will get, and the easier it will be to decide changes to improve accuracy, reduce handle time for the customer, or tailor messaging to boost customer satisfaction.
AI deployed in service environments should be conversational – clarifying customers' questions and responding to specific queries. That means AI shouldn't simply analyze words from a structured database, but rather should analyze customer transcripts from emails, calls, and chats to better detect human behavior and analyze emotions.
AI is meant to complement human interaction, not replace it. To avoid customer defection, enterprises must ensure that customers can easily transfer or escalate to an agent when they need to.
A critical factor in delivering great customer service is the ability of customers to contact a company any way they want and through their preferred channels. With the proliferation of conversational platforms, a bot needs to be conversant across multiple channels and connect where customers are at any moment in their journeys.
Finally, enterprises wishing to deploy AI with little to no rejection from employees should work to shape the concept of AI in a way that quells the current public negative perception of the technology. Help employees understand the purpose of the technology as removing repetitive or boring tasks and replacing them with more valuable, revenue-building assignments.
Taking a thoughtful and strategic approach to AI deployment means consumers will get quick answers to their queries and spend less time and hassle searching for responses on companies' websites and calling their contact centers. It also means brands will have the necessary context to provide intelligent and tailored interactions that consumers have come to expect from them.
"Artificial intelligence plays a role in evolving knowledge management," IT0020-000271 (April 2017)
Mila D'Antonio, Principal Analyst, Customer Engagement
Enterprise Decision Maker
By Eric Parizo 19 Feb 2020
Check Point has accelerated its pace of acquisitions to offer more security solutions for and from the cloud, but it remains hindered by the perception that its technology and market messaging are still too complex.
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