In 2019, the push to break up Big Tech has gained traction. Many fear that giants like Google, Apple, Amazon, and Microsoft have gotten too large, prevent smaller competitors from gaining traction, or have too much power, leading some to believe that splitting up these tech leaders is the smart move.
However, not all feel that breaking up Big Tech is the best move. While many support investigating the practices of these companies – some of which have come under scrutiny over privacy concerns and possible anti-trust law issues – at least one expert thinks that there is another option on the table for managing Big Tech: make them share data.
Having the right positions represented on a team is critical to a company’s success. Similarly, if you are a professional, understanding what various job titles mean is crucial for career planning, as many that sound alike are actually very different.
At times, data engineer and data scientist are used interchangeably, mainly because they have skills associated with Big Data. However, these two roles have distinct differences, so using one title in place of the other can lead to confusion, skills gaps on a team, or a career that isn’t what you pictured.
If you want to make sure you are using the right job title, here are three major differences between data engineers and data scientists.
If you want to advance your tech career, having a mentor in your corner can make a world of difference. However, the mentor/mentee relationship only provides you with value if you work to make the most of it.
Being a great mentee involves more than just focusing on your needs and who you believe can help you reach your goals. Even though that is part of the equation, you also want to make sure certain things align to ensure that the relationship is strong and beneficial to both parties. If you're going to get the most out of your tech mentorship, here’s what you need to know.
Bill Gates is a big fan of reading, often tearing through several dozen books each and every year. Recently, he has been especially focused on books about technology. Here is a look at the ten tech books Bill Gates thinks everyone should read in 2019.
Whether you are looking to advance your career as a site reliability engineer or are hoping to find your first position in the field, knowing where to look to find exciting job opportunities is a must. Otherwise, your job search may take much longer than it could have or you might miss out on your ideal role.
Finding a great site reliability engineer position doesn’t have to be challenging. If you are ready to take the next step forward in your site reliability career, here are some tips to help you manage your job search wisely.
Remote workers rely on connected technologies to complete their tasks. Laptops, tablets, and smartphones are critical tools for those who don’t work in the office, allowing them to use the internet to access resources, submit assignments, and otherwise remain in contact.
All connected technologies can come with their fair share of vulnerabilities. Cybercriminals can exploit certain weaknesses, allowing them to access data or various business systems for a variety of malicious purposes.
Luckily, there are things you can do to help safeguard your remote workers and protect critical devices and systems from cyber risks. If you have remote employees, here are three things you can do to increase security.
While the blockchain concept is a decade old, its full potential is not fully known. Blockchain’s connection to cryptocurrency is just one facet of what the technology could potentially offer, and companies are beginning to embrace it for its record-keeping capabilities.
Mass utilization may still be years away, but the short-term future of blockchain is also incredibly bright. If you are wondering what the blockchain landscape may look like over the next several years, here’s what you need to know.
Facebook made headlines in recent years for how advertisers could control who saw their ads. The use of “Ethnic Affinities” essentially allowed companies to avoid targeting users who fell into certain racial categories, effectively providing a mechanism for discrimination. The tech giant was even targeted by the US Department of Housing and Urban Development (HUD) for violating the Fair Housing Act by providing ad targeting mechanisms that allowed companies to prevent minorities from seeing the housing-related ads.
While the feature was slated for removal in 2018, a recently released research paper shows that ad targeting in Facebook could still be discriminatory, even if the advertiser was trying to get their ads displayed to a wide audience.
Working remotely comes with a unique set of challenges. Since at least one of the employees won’t be spending a lot of time with their coworkers in the office, portions of the team may struggle to bond with one another. This can make collaboration trickier and may harm communication, both of which can hinder the group’s overall productivity.
However, even if working remotely isn’t always easy, there are ways to improve the connection between team members. Not only can this boost morale but it can also lead to higher productivity, making the experience more enjoyable and leading to better results.
If you want to make sure remote work benefits the workplace, here are some tips Google shared to increase your odds of success.
As technology becomes increasingly capable, it is easier to find more potential uses for various solutions. Recently, the New York Police Department (NYPD) announced a new tool designed to assist officers with reviewing police reports to find crime patterns that could indicate that the same person was involved in a string of offenses.
The program, which has been named Patternizr, could potentially assist in a range of investigations, saving time and valuable resources. While those some actions are currently completed by analysts, the task would be significantly less cumbersome if algorithms could manage much of the process.
However, some fear that such technologies cross a line. Many argue that programs like Patternizr could be unethical or might end up biased. If you are wondering whether we can or should use algorithms to catch criminals, here are some points to consider.