As businesses increasingly rely on Microsoft SaaS and Azure-based applications to support their distributed workforce, ensuring optimal performance and user experience becomes crucial. With complex corporate network architectures like SDWAN, Secure Access Service Edge (SASE), or Cloud Access Security Brokers (CASB), and a reliance on Microsoft’s vast network architecture, monitoring and troubleshooting performance issues can be challenging.

Companies are investing big in cloud infrastructure worldwide, with no signs of a slowdown on the horizon. We’re talking an eye-popping $1.35 trillion worth of spend being driven toward cloud services by 2027. That’s no wonder, given that 89% of organizations recently surveyed in Flexera’s 2024 State of the Cloud report say they’ve already adopted a multi-cloud strategy. Cloud is the backbone of many modern organizations.

Data loss incidents don’t always involve deliberate malicious activities and are also caused by mistakes from careless users, who contribute to 70.6% of data theft instances – the highest among all data attacks, followed by 48.1% of compromised systems. For data loss, whether it is triggered by negligent behavior or vengeful intent, the result leads to severe consequences in either case.

With all the hype around AI, it’s easy to forget that, no matter what industry you’re in, every interaction is ultimately in service of humans. And when we operate from this principle, we can see how transformational AI can be. This is especially true for CX leaders.

The way we collaborate is going through a massive transformation. Already, there are many ways teams can use artificial intelligence to work together more effectively; as we move further into the future, it seems all but inevitable that the technology will have an even more profound impact on collaboration. While the emergence of AI-powered collaboration capabilities is no doubt exciting, organizations need to figure out how to balance innovative functionality with data sovereignty and security.

Should your boss use AI to measure your performance? Should all knowledge workers become prompt engineers? Dr. Li answers our pressing questions about the future of AI.

A report from Harvard Business Review Analytic Services explores how companies are making strides with artificial intelligence.