Operations | Monitoring | ITSM | DevOps | Cloud

“We need to be an AI-enabled company.” Replace the “AI” with any technology from history and this comment becomes a common refrain across businesses lured by the promises of new technology and fueled by FOMO (a fear of missing out). As enterprise strategists and former CXOs who have lived through many “technology is the solution, now what was the problem?” conversations, we talk extensively about this issue.

Lisa Wolfe, product marketing director at ServiceNow, co-wrote this blog. The stream of global disruptions these past couple of years has not only put business continuity plans to the test, but has also tested the ability of organizations to simply survive. To operate at the “speed of a digital business” and to endure the next wave of unexpected change will require peripheral vision—the ability to help predict and fix issues before they impact employees or the business.

Five worthy reads is a regular column on five noteworthy items we’ve discovered while researching trending and timeless topics. In the era of mass AI adoption, aimed at enabling disruptive technology innovations, this week we will explore the concern over skill shortages in the AI market. Illustration by Balaji K.R. Artificial intelligence(AI) remains a major technology driver for 2022 and beyond. It has been ranked in the top technology trends consistently for several years.

How do you determine whether one multifamily deal is better than another? Let me start by saying that a deal is only as good as the assumptions you’re making as an investor, and assumptions are not guaranteed to materialize. As a real estate investor, operator and syndicator through my company Blue Lake Capital, a significant part of our analysis when considering properties to invest in is looking at how the property performed in the past.

A broad enthusiasm for AI is already evidenced by the technology’s adoption within many organizations in 2021. In a recent multinational survey conducted by IDG, we found that more than one-quarter (27%) of the survey respondents have fully deployed AI-enabled ITSM/ITOM solutions, and another 34% have made initial deployments in select use cases and departments. At the same time, another 32% are exploring AI-based solutions or gathering information about them.

For modern businesses faced with increasing volumes and complexity of data, it’s no longer efficient or feasible to rely on analyzing data in BI dashboards. Traditional dashboards are great at providing business leaders with insights into what’s happened in the past, but what if they need actionable information in real time? What if they want to use their data to estimate what may happen in the future? Companies are taking notice.