AI has caused numerous unexpected issues, ranging from bias and discrimination in critical decision-making systems to misinformation and security threats. These problems often stem from the technology’s complexity and reliance on human-biased data.

However, one challenge is all too predictable: shadow AI. Employees are using an array of AI tools that aren’t sanctioned, monitored or managed by the IT department.

Data in transit is data at risk — which means a lot of data is at risk these days. Important company data regularly moves between home offices, cloud platforms and corporate networks thanks to the rise of remote and hybrid work models.

There’s always a chance that data in transit could be intercepted, accidentally delivered to the wrong person or accessed by unauthorized individuals.

Imagine security personnel who never sleep, who are constantly analyzing video surveillance systems in real time and looking for an array of factors that could indicate a threat. That’s the promise of AI-powered physical security.

AI-powered physical security uses artificial intelligence to automate and enhance systems that protect people, property and operations.

Data fuels today’s digital economy. Organizations around the globe are collecting, storing, analyzing, sharing and monetizing massive data stores in search of market insights, operational efficiencies and customer experience enhancements. Protecting all that data has become an extreme challenge, however.

Agile and reliable communications are critical in financial services. Customers are more demanding than ever, expecting responsive and highly personalized experiences. Financial services firms must be able to communicate seamlessly across multiple channels and be agile enough to adapt to changing market conditions.

Physical security is top of mind in organizations of all sizes. Theft, vandalism and workplace violence remain serious threats that can endanger staff, disrupt operations and result in financial losses.

Suspicious drone activity is a growing issue with potential safety and security implications.

Traditionally, IAM solutions have focused on managing identities, not securing them. However, increasingly complex IT environments coupled with a growing array of threats have made identity security a top priority.

In a recent survey, 78 percent of organizations said they plan to increase their spending on identity and access management (IAM) in 2025. These organizations recognize the strategic importance of identity security in preventing ransomware and other threats.

When organizations begin experimenting with AI and machine learning, they typically use public cloud services to avoid the cost and complexity of implementing AI-capable systems. As they transition into full-scale adoption of AI, however, they begin to see the drawbacks of the public cloud.

Many small to midsize businesses (SMBs) are eager to take advantage of the transformative power of AI. They’re prioritizing investments in systems and services that can support AI applications and workloads.

Storage, by contrast, seems far more prosaic.

Meeting spaces have come a long way in just a few years. Not that long ago, conference rooms were furnished with a table and chairs and one screen for PowerPoint presentations. Only the boardroom or executive meeting room had video conferencing, typically a complex and expensive system that saw limited use.