Collaboration apps, such as Microsoft Teams, have become critical during the pandemic because they enable employees to stay connected and engaged while they work. Just how critical? Microsoft reported 270 million Teams users in January 2022, up from 75 million in April 2020, a few weeks into the pandemic, according to ZDNet. Teams and similar apps have proven essential to the remote workplace. ServiceNow is one of the companies benefiting from Teams adoption.

“It was November 5th, 2003. I knew that we had to start a company before I became 50, because a 50-year-old can't start a company. So, at 49—November 24th is my birthday—we started,” says Fred Luddy, ServiceNow founder. He began the company with a single laptop at a desk in his house. Although he founded the company alone, he couldn’t build it alone.

When Fred Luddy founded ServiceNow nearly 20 years ago, he envisioned a company built on two pillars: empathy and optimism. To this day, we approach every challenge with the optimism that we can solve it and the empathy to guide our way. These are amazing times we live in. Yep, I said it: amazing. Sure, we have big challenges, but it’s amazing that things are working, that the world is working. We’re playing a major role in that.

Technology teams are under more pressure than ever before. They’re balancing the demands of a changing workplace, growing customer expectations, and shifting from traditional to digital delivery. While managing more applications with less visibility, they face expectations to deliver fast, customer-grade experiences. These digital experiences are increasingly enabled by the cloud.

On your journey from reactive to proactive IT operations, you may be unsure where to start. If your organization is lacking visibility into your operations, that’s the best place to begin. Automation and artificial intelligence (AI) can help you gain that needed visibility. AIOps and visibility Artificial intelligence for IT operations (AIOps) offers numerous benefits, including faster response time, improved IT health, and simpler IT management.

The manufacturing skills gap is projected to leave more than 2 million jobs unfilled by 2030, costing the US economy as much as $1 trillion, according to a report by Deloitte and The Manufacturing Institute. When COVID-19 hit, about 1.4 million people lost manufacturing jobs, according to the report. Although the industry has hired back many workers, hundreds of thousands of positions remain unfilled. On top of layoffs, workers are retiring en masse.

The topic of artificial intelligence (AI) is wide-ranging and extensive, providing what seems like limitless possibilities for the world of work. As such, it’s easy for leaders to get lost in the excitement of implementing an AI model for their enterprise.

Like many business leaders, you may be wondering if you’re getting the most out of your technology investments and if there are things you can do to gain efficiency. Many organizations have taken steps toward optimization to reap the rewards of: In fact, 35% of organizations have made significant or very significant progress toward optimizing risk management and cybersecurity, according to a global survey of 900 senior business leaders by ServiceNow and ThoughtLab.

As a former chief experience officer, I’ve seen just how impactful digital transformation can be. When I worked at Under Armour, we focused on our customers’ connected fitness journey, which unlocked new revenue streams and engagement opportunities. Yet, I’ve been around long enough to see my fair share of disappointments and underperforming projects. Any C-level executive will say the same.

In today’s highly competitive and volatile business environment, service outages can result in the loss of customers. Because of those high stakes, it’s imperative that companies take action to avoid outages. But how can you prevent them before they happen? Enter artificial intelligence (AI). AI and machine learning can run in the background to monitor systems and detect anomalies before humans can spot them. ServiceNow Predictive AIOps was designed with this purpose in mind.