For many business and educational leaders, the resumption of work and learning amid the COVID-19 pandemic continues to be a challenge. Enforcing health and safety policies and detecting noncompliance can be difficult to accomplish, especially in high-traffic areas, but it’s crucial. Enhanced video surveillance can help. In recent months, many organizations have repurposed existing EVS systems, typically deployed for physical security, to support screening measures related to COVID-19, such as thermal imaging scans, occupancy management and contact tracing.

Layering face mask detection into video analytics, and potentially integrating it with access control systems, provides an additional layer of protection. As with occupancy management and contact tracing, many companies find that automated solutions are far more effective at mask monitoring than humans are.

Retailers are using data, powered by artificial intelligence, to achieve an impressive list of objectives: loss prevention, operational efficiencies, customer insights and buying behavior enhancements.

One of retail’s most versatile data solutions is computer vision, a form of AI that enables computers to glean insights from the visual information flowing to digital cameras. Recommendation engines are also on the rise, letting retailers leverage data to deliver timely, customized experiences. These advances support easier, more personalized shopping for consumers — exactly what they’re looking for.

As organizations across the country have moved to remote work models, many have reported an increase in cyberattacks. Cybercriminals, it seems, are taking advantage of the public health crisis to exploit security vulnerabilities in home-based computer systems. What can organizations do to minimize the chances that their shift to remote work results in an expensive breach? We recommend a multipronged approach that combines the use of security tools and end-user education.

Is Microsoft a security company? The idea has been on my mind for a while. I think back to the days of my early Microsoft experiences. For me, that would be Windows 3.1 and DOS 5.0 up to DOS 6.22. It was the base of my conquest for co-sysop on a few dial-up BBSs (bulletin boards), getting really good download ratios, and finding all the sweet “warez”. I was also digging through every inch of my computer. Today, in my role as a Microsoft 365 pre-sales architect, I give even more thought to the security aspects of Microsoft’s environment.

Given today’s unique environment, companies are looking to technology, current and emerging, to help navigate the business landscape that exists before them — and the one that is to come in the near term. To help our customers through this constantly evolving environment, we’ve identified three key phases that organizations are moving through as a result of the pandemic. In mapping out this journey with our customers, CDW’s Consulting Services has determined where organizations should focus their technology investments.

For organizations to realize the potential value of AI, according to McKinsey, their AI strategy must align with their corporate strategy. They need a “clear data strategy that supports and enables AI,” and they must invest in staff and technical training to ensure they have the skills to implement AI at scale.

I keep those imperatives in mind when I work with business and IT leaders who wonder how AI might help their organizations. My advice to them: To get the most out of the technology — to make AI work for you — it pays to take a phased approach to implementation.