What tasks can machines do for us? That’s what business leaders were pondering back when automation and AI were still new, cutting-edge technologies. Now the question has changed. What tasks can’t they do? We used to think of automation as a useful method to avoid doing the repetitive, menial tasks that require so little of our brain power and take up so much of our days.
At the beginning of the COVID-19 pandemic, we anticipated a slow-down in IT-related spending. In reality, the opposite occurred. Companies massively expanded their digital offerings using the same IT staff they’d had pre-pandemic, even as the teams lost access to many of their existing tools while working from home. This acceleration put immense pressure on IT teams everywhere, resulting in messy incident management, outages, and a huge shortage of talent.
If you manage a network, every network device generates a large volume of logs. These logs are extremely important and narrate a story about both events and the sequencing of those events within your network. This capability is critical for any network monitoring software, helping you easily understand network activities, user actions, security breaches, and much more.
Change is critical to growth. Especially if you’re running a business in today’s volatile market. The silver lining is that we are at the peak of innovation, moving forward from a decade filled with disruptions, catalysing transformations. Over the years, enterprise IT has evolved to play a more significant role in business. Innovation, macro-economic factors, unexpected disruptions, and other internal and external factors have caused the change.
“Try turning it off and on again.” This advice normally works for my mom, but not for me. When I needed to present at an event last year, I got frustrated when I couldn’t connect to the network. The front desk at the venue referred me to technical services. “Uh-oh,” I thought. “Here we go.” But I was wrong. The technical services person quickly assessed my level of know-how and adjusted her talk track to cater to my needs.
Last month Gartner published its first ever “Market Guide for AI Offerings in CSP Network Operations,” and we’re excited to share that Anodot has been identified as a Representative Vendor in the report. According to the Gartner report, “CSPs are focusing on automation of their network operations to improve efficiency and customer experience, and mitigate security concerns.” The market guide presents many new and actionable insights.
A few stories have emerged lately about how companies are having difficulty hiring enough people to fill key positions. These articles allege that automated talent acquisition (TA) or Applicant Tracking Systems (ATS) reject millions of candidates solely due to minor flaws in their applications such as gaps in their work histories, failing to meet a long list of exacting job requirements, or failing to use the language of the job description on their resume.
