AIOps, or artificial intelligence for IT operations, uses AI and ML technologies alongside big data, data integration and automation to help make IT operations smarter and more predictive. AIOps has come around as a response to a pressing need for optimizing operations and minimizing risks to the IT infrastructure in the modern IT ecosystem.

Tech saw a lot of challenges in 2022. ITOps, NOC, and SRE teams grappled with shifts in staffing, a disappearance of those with tribal knowledge, a continuing transformation of consumer spending habits, and a general disruption of workplace culture. So what will 2023 look like for the industry? Likely, more volatility—but our panel of industry experts are here to help you navigate the choppy waters while also making some bold predictions. Change is the only constant in the tech sector.

Recent talks of an economic softening have left IT leaders concerned about the future of their enterprises. That concern is understandable — tech layoffs create near-daily headlines at this point, with top companies rolling back their operations and rolling up their sleeves to focus on mission-critical expenses. And for many in ITOps, that means cutting tools.

IT industry veterans have seen significant changes in the way applications are not only developed but also used. This evolution has been driven by several factors, including the ever-growing need for mobility, vast ecosystems, and the increasing demand for faster and more efficient ways to get work done. Let's take a closer look at how apps have evolved over time.