Estimated reading time: 10 minutes
AI presents vast opportunities for innovation. But companies must also address the ethical concerns this rapidly emerging tech poses. This article examines how responsible innovators can implement ethical AI practices.
Estimated reading time: 9 minutes
Trying to wrap your head around the difference between data science and computer science?
Many of the luxuries that we have today — a favorite streaming service that recommends new movies, the ability to unlock our phones with facial recognition technology, or virtual home assistants that let us play our favorite music just by speaking — are made possible by computer science and made better by data science.
Today, these two fields complement each other to further applications of artificial intelligence, machine learning, and business forecasting. Read on to learn a definition of each, their histories and applications, and career paths in computer science and data science.
Continue reading Estimated reading time: 4 minutes
Today, we’re constantly bombarded with information about new apps, hot technologies, and the latest, most incredible artificial intelligence systems. While these technologies may serve very different purposes in our lives, many have one essential thing in common: They rely on data. They use databases to capture, store, retrieve, and aggregate data.
All of this begs the question: How do we interact with databases to accomplish this? The answer: We use Structured Query Language, or SQL (pronounced “sequel” or “ess-que-el”).
Put simply, SQL is the language of data — it’s a programming language that allows us to efficiently create, alter, request, and aggregate data from databases. It gives us the ability to make connections between different pieces of information, even when dealing with massive data sets.
Modern applications can use SQL to deliver valuable information that would otherwise be difficult for humans to keep track of independently. In fact, pretty much every app that stores any sort of information uses a database. This ubiquity means that developers use SQL to log, record, alter, and present data within the application, while analysts use SQL to interrogate that same data set to find deeper insights.
Continue readingEstimated reading time: 5 minutes
If you work in data, chances are you’re hearing a lot of buzz about AI and how it’s going to automate everything. While the headlines spell doom and gloom for knowledge worker roles like yours, the reality isn’t quite so dark. In fact, there won’t be any future of AI without people like you, who have the skills required to prepare and use data.
Right now, AI adoption is in a strange phase. The media is telling you that you could be replaced by it, but your day-to-day probably hasn’t changed all that much. You might be thinking that this all seems like a bunch of hype… and you wouldn’t be wrong. That’s because most companies’ use of AI is still in its infancy.
While 94% of companies say they are using AI today, most aren’t using it to its full potential. They’re struggling with data quality and infrastructure issues that make layering on AI nearly impossible. In the same study, almost three quarters of execs said that data issues would be the most likely reason they fail to achieve their AI goals. As it turns out, even a robot can’t make lemonade out of bad data.
This is where you, and your skills, step in to save the day. And you’re in higher demand than ever before. There’s been a 2,000% surge in roles requiring AI skills, such as data science and data analytics.
Before you breathe a sigh of relief, it’s important to recognize that your skills will need to evolve for an AI-led future. Let’s dig into exactly how.
Continue readingEstimated reading time: 3 minutes
In an ever-evolving digital landscape, one organization stands out as a lighthouse for career transformation and education all at once. You might have heard of it! Does General Assembly ring any bells? Since inception in 2011 in New York City, General Assembly has grown from a humble co-working space into a global learning experience with campuses in 20 cities and over 35,000 graduates worldwide, and now, that wealth of experience is established in the Kingdom of Bahrain.
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Estimated reading time: 10 minutes
Rebecca Szymczak, aka Cardsy B, author of The Saturn Diaries and tarot reader to the stars, consulted her cards and has tips for which signs are going to use the hard-working energy of this earth element ruled season to escalate their careers and which should watch out for Virgo’s notorious perfectionism. She also has insight regarding expansive good news that can indicate raises and new job offers as we approach the full moon in Aries at the month’s end.
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Estimated reading time: 7 minutes
Ask a recruiter how their year’s going, and you’re likely to see a head shake. According to Gem’s 2023 Recruiting Trends report, nearly one quarter of recruiting teams saw reductions in the second half of 2022. Many are dealing with layoffs, hiring freezes, or limited resources despite headcount growth, but that isn’t the full story.
Talent recruitment is experiencing a strange moment, induced by economic swings and labor market changes. Every industry is feeling the effects of the great skills shake-up where talent on the market doesn’t match the jobs that need to be filled.
If you’re a recruiter who’s been laid off or simply want to advance and future-proof your career, now’s the time to lean in instead of get out. What makes a good recruiter even better? Let’s dig into ways to upskill, advance, and land a lucrative technical recruiting position.
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Estimated reading time: 7 minutes
The secret to a successful career is simple. Find a job that suits your natural abilities and working style.
But this is easier said than done. To identify what environments and types of work are best suited for you, you need to have a solid understanding of who you are—a deep sense of self-awareness.
Enter human design.
In this article, we’ll review:
Estimated reading time: 5 minutes
The tech workforce of yesterday is not the workforce of today – and it certainly won’t be the workforce of tomorrow.
Technology is evolving rapidly, and companies are struggling to keep up with the pace of digital transformation. Traditional college degrees aren’t evolving rapidly enough to equip entry-level employees with future-proof skills. Software engineers, developers and designers who joined the workforce ten or more years ago already have outdated skill sets.
Many companies are turning to upskilling and reskilling programs to modernize their workforce. But one type of employee is pivotal to shoring up a company’s culture for the next wave of innovation: the T-shaped employee.
Continue readingIn recent years, software engineers have been like the work world’s equivalent to the most popular kids in school. With all the ongoing and rapid advancements in tech and focus on all things digital, their skills and talents have been some of the most sought after across all industries. But now, with AI on the rise, some worry it might steal the “cool kid” crown and that the popularity of and demand for software engineers may soon dwindle. And the AI boom’s impact on software engineering is especially of interest to potential career changers. Many who’ve considered making the leap into a software engineering role may now be having second thoughts.
If you’re one of those people, keep reading. It’s no secret that AI is so hot right now, and all signs are pointing to it remaining hot well into the future. But the idea that AI is going to steal your job and render you irrelevant is a myth. AI alone can’t fully take on the role of a software engineer — but it will help you become a more efficient coder if you have the right skills to harness it.
The AI-powered future is here, and it’s time to make the most of it. Keep reading to find out the best ways to leverage AI in your current or future coding role.
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