Career Growth

On-site interviews may seem like a relic of a bygone era, but companies everywhere are starting to prioritize in-person meetings and having staff report to an office weekly. This re-emergence of in-person coworking and interactions make for a dynamic working environment many aren’t familiar with (especially if they’re used to video interviews). This renewed sense of purpose for in-person interactions begins with the interview process, too. Companies are resistant to hiring someone via purely virtual interactions if they want them to come into an office. The interview process might be mostly video and phone, but chances are good that, if you’re close to an office for a prospective employer, you’ll be asked to attend an in-person interview at some point. Job seekers often have a host of questions and concerns about on-site interviews. We spoke with several experts to help get answers. Why are Companies Still Holding On-site Interviews in 2024? This question gets right to the heart of the

AI tools such as ChatGPT can prove helpful when you’re coding. In theory, you can provide the chatbot with a description of what you need coded, and the platform will return the appropriate code snippet. With that in mind, let’s see how we can take help from ChatGPT (and other generative AI products like Google’s Gemini) to the proverbial next level. It could prove crucial to your next job. Asking AI to Provide Code For the past couple decades, programmers have had a substitute for AI: the millions of fellow programmers all working together to provide collective help. If you’ve spent any time on websites like Stack Overflow, you know there’s an army of people out there who will quickly provide code examples and advice in response to your questions… if the answer hasn’t already been posted on the site for years. But just because Stack Overflow or commentary in a GitHub repo says code is correct doesn’t mean it’s correct. Sure, if somebody posts an answer that’s wrong, others are usually

Data shows that tech professionals are eager to learn artificial intelligence (A.I.) skills on the job, but over half of employer-led training programs are falling short of meeting their needs. In fact, only 64 percent of workers think they’re receiving the training they need, and 57 percent find their training to be inadequate according to a new report from Oliver Wyman. With generative A.I. projected to impact 96 percent of the key skills and competencies that software engineers and other specialists will need in the future, tech professionals have no choice but to teach themselves how to use and work with A.I. The question is how to move forward. Here are three ways to build A.I. skills through self-directed learning both inside and outside the workplace. Start in Your Own Backyard Understanding the fundamentals of A.I. is the same as learning anything new in technology, the best place to start is by becoming familiar with the tools that are already available, advised Dana Lawson, C