AI ticketing is a powerful way to leverage Software-as-a-Service (SaaS) tools that incorporate AI-powered chatbots and AI-based systems to handle customer queries, resolve problems, and find answers to questions customers have.
Effective communication is the lifeblood of any successful business. Now with teams often dispersed globally, robust communication tools are even more critical. These tools streamline workflows and build a cohesive organizational culture. These in turn help companies better serve their customers.
In today's digital healthcare landscape, employing HIPAA compliant email solutions is crucial for safeguarding patient data. Organizations, particularly healthcare providers and related businesses, must navigate secure electronic communication. This especially relates to Protected Health Information (PHI). The Health Insurance Portability and Accountability Act then needs to be understood well and adhered to closely.
Customer expectations are higher than ever, and traditional service models often struggle to keep up. Long wait times, repetitive requests, and rising ticket volumes put constant pressure on support teams. That's where Artificial Intelligence (AI) is making a difference.
AI in customer service automates routine tasks, speeds up resolutions, and helps agents focus on complex, high-value interactions. It is transforming how contact centers and help desks operate.
In this article, we look at what AI in customer service means, why it matters, and the strategies and benefits organizations can gain by implementing it.
First, let's define AI: Artificial Intelligence (AI) refers to systems that perform tasks normally requiring human intelligence, using technologies like machine learning (ML), big data, foundation models, deep learning, neural networks, and natural language processing (NLP).
A well-known, user-facing example is OpenAI's ChatGPT. Increasingly, these technologies integrate with customer service software to handle repetitive tasks, personalize interactions, and scale support.
AI in customer service automates interactions, speeds up response times, and helps agents deliver accurate, personalized support.
It enables:
According to McKinsey high-quality customer service can boost revenue 2–7% and profitability 1–2%. AI-powered chatbots can handle queries 24/7, reduce call volume, and free human agents to focus on complex problems.
Common AI models include:
It's important to note that AI shouldn't replace human agents, only support them. AI handles repetitive inquiries, while agents take on complex, high-empathy cases. Companies using an "AI + human" approach report higher job satisfaction among agents, where they spend more time problem-solving and less time on routine tasks.
AI in customer service uses automation and intelligent tools to improve efficiency, deliver faster support, and enhance the customer experience. Contact centers and help desks are increasingly turning to AI to streamline workflows, handle high ticket volumes, and boost satisfaction.
Edge computing, or edge cloud computing, is a new technology for communications and data processing connected to the cloud. More people are wondering what it is as it gains popularity. How does it work, and how does it compare to cloud computing? Everyone should know a few key traits of edge tech and its main applications today.
Developing and implementing technology solutions is a complicated process. Over the years, a wide range of best practice guidelines and frameworks have been created to make this easier and more cost and time-effective, such as Agile and ITIL®.
As the pace of innovation accelerates, companies must keep up with the latest trends to remain competitive. This, in turn, places a significant burden on the IT department to manage and maintain the technological infrastructure and to identify and implement new technologies. As a result, IT professionals are under mounting pressure to deliver high-quality services in a timely and cost-effective manner, all while ensuring the security and reliability of critical systems.
IT asset life cycle management is a mission-critical function for every business.
Whether those IT assets are cloud based from software vendors, hardware, or on-site systems, the planning, procurement, management, and maintenance of them is crucial to the operational success of an organization.
The cloud is so much more than new-era data storage. It has grown to offer services of all kinds to businesses, healthcare organizations, educational faculties, and more. You may already be familiar with "Software as a Service" or the SaaS meaning. While that is a well-known expansion of cloud as a service, there are many other acronyms you may be unaware of. Each acronym reflects another capable service of the cloud — one or more of which may be of value to you and your organization. Continue reading as we have created a master listing of each service related to today's cloud technology.
We live in a hyper-connected society. Almost everyone we know has a cell phone, tablet, or computer — maybe all and more. These devices are designed to make our day-to-day activities more efficient and enjoyable. While healthcare is rarely an enjoyable experience, there are always means that can be used to make it more comfortable. One of those solutions comes with improved technology that allows patients and providers to communicate and share data with speed and ease. The most common way improved communication occurs between both parties is through personal electronic devices, like smartphones. Although this sounds like a great idea, it has not exactly taken off. This is mainly because HIPAA still applies.
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