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The Right Way to Talk About Yourself in Interviews
If you’re like most people, talking about yourself in a job interview can feel pretty uncomfortable. For instance, it may feel like you’re boasting or taking credit for others’ work when showcasing your individual contributions within the broader team context. And it can be hard to know what information to share (and not share) when answering “tell me about yourself” questions. But the reality is that you need to be able to confidently and effectively describe your strengths and accomplishments, and how they make you a good fit for the job, to be considered for a position. With that in mind, here are some tips for talking about yourself in a way that's both confident and authentic. Get Your Head Straight If talking about yourself in an interview feels stressful, then you’re doing it wrong. “You’re not supposed to be selling yourself as the end-all, be-all,” said Neil Schultz, founder of Career Upgrader. The idea is to position yourself as a collaborative partner who can work alongside

Building a Rule-Based Chatbot: What You Need to Know
Although we’ve seen an explosion of generative AI chatbots over the past few years, chatbots themselves have been around for much longer. However, those older, non-AI versions were rudimentary and predictable, usually based on a limited set of rules (“If the user asks about how to return a product, respond with exactly the following text…”). AI-based chatbots, on the other hand, can engage in remarkably human-like conversations, and pick up on context if they’re engineered correctly—but how can you build one? Before we get into the nitty-gritty, it’s important to note the flip side of AI-powered chatbots: they’re also unpredictable at moments. Sometimes they say things the programmers didn’t expect. They can even go off the proverbial rails and say things that can get the company in trouble (or the developers at least; for example, they might start recommending a person go to a competitor for better products). Because of those potential issues, many teams today are choosing to build hy

Building an AI-powered Recommendation System in Python
When you visit a website such as Amazon, you’re instantly inundated with product recommendations. But these recommendations are anything but random: Amazon’s systems are carefully analyzing the behavior of every visitor to the site, tracking searches, product clicks, and sales. Amazon is monitoring not only your behavior, but also customers with similar behavior, all in the name of delivering better-targeted recommendations. For example, when you search for hiking gear, Amazon is evaluating your choices against the choices of everyone else who shopped for tents and similar products. Amazon pioneered this concept of AI-powered recommendation systems. And now, with the help of libraries, you can build your own recommendation system. Let’s talk about how you can do this in Python. Concepts of Filtering Ultimately, what you’re doing is filtering a product catalog, leaving out products the user is unlikely to purchase, and zeroing the algorithm on products with a higher likelihood of purcha

Cybersecurity Skill Sets Require AI Knowledge and a Lot More
Over the past two years, artificial intelligence (AI) has dominated cybersecurity conv ersations regarding how attackers can and will exploit the technology, including creating sophisticated phishing attacks, faster development of malicious code, and deploying virtual chatbots to execute malicious operations more efficiently. While the effects of generative and agentic AI are still being calculated, cybersecurity professionals face more routine, if still dangerous, threats to their organizations’ networks and data on a daily basis. For instance, vulnerability exploitation increased about 34 percent from 2023 to 2024, thanks to attackers using zero-day exploits against edge devices and VPNs. While cyber and tech pros work to patch edge devices, only about 54 percent of vulnerable devices were fully remediated in 2024, taking a median of 32 days to finish patching. Ransomware attacks were also present in 44 percent of all the reviewed breaches last year—an increase from 32 percent in 202

Want to Become a Tech Consultant? Read This First.
There are many reasons why a tech pro would choose to become a consultant. Some opt for that path after losing a full-time position, while others seek out the flexibility that comes with spinning up a consultancy. Still others see consulting as a way to profit wildly off their highly specialized skills. Whatever their path to consulting, tech pros can’t just flip a switch and expect to seamlessly transition into this new role. Instead, there are numerous factors to consider. Let’s break those down—and you can decide whether consulting is something you truly want to do. Taxes Might Be More Than You Expect Almost everybody who starts out on their own is surprised the following April when they discover they owe much more than they had expected to. When you’re employed with a fixed salary, it’s easy enough to set your exemptions correctly and make sure your employer takes out pretty close to the right amount of money each paycheck. But working on your own, there are multiple factors. The t