Teams | Collaboration | Customer Service | Project Management

Cloud hosting is becoming the norm due to its efficiency, accessibility, flexibility, and scalability. Not only that, but it also optimizes IT expenses and encourages collaboration. However, with the rise of digitalization comes the surge of cyber attacks. With such threats, business leaders must be attentive to the cloud security of their businesses.

It’s impossible to overstate the importance of customer service. This is because 73% of companies now report a direct link between customer service and business performance, according to our 2022 Customer Experience (CX) Trends Report, and 60% of customers will now walk away after just one bad experience – a 22% jump from the previous year.

Over the last two decades, we have seen companies move to the cloud in hordes and presently, the cloud is often the default option for almost all new enterprises. Only companies in a very narrow niche are sticking to on-premise solutions. And the trend is expected to continue. In 2021 alone, the end-user spending in cloud computing was around 482 bn USD.

Over the last decade, virtually all industries have been altered and improved by the growth of artificial intelligence. However, one area that has changed radically, but many might not think of, has been the document management ecosystem. Information-rich tasks have benefited from AI enormously, particularly in terms of knowledge management, business process management, security, and compliance.

Discover the top cloud-based HR tools to support remote and hybrid teams. HR teams are flocking towards cloud-based solutions for their digital toolkits. Discover the value that HR cloud-based tools can bring to your business, and find out how software for tracking remote employees can benefit your digital HR toolkit.

Successful companies are constantly asking questions. Customer support teams are in a tricky situation — they need to optimize costs and still provide the best agent and customer experience. Many businesses use traditional KPIs like average handle time and first call resolution as key metrics. But support leaders wonder if these metrics are really the best path to improved agent performance and increased customer satisfaction. That’s where conversation AI analytics comes in.