For Generation X, the defining vision of our most likely future was laid out in The Jetsons. It presented a futurescape of flying cars, Uniblab the AI coworker with a bad attitude, and workweeks of one hour per day, two days per week. For millennials, the future was defined by Back to the Future and Tron. Unfortunately, we still don’t have a real hoverboard.
How Close We Are to the Future
Augmented reality (AR) has had several false starts (yes, Google Glass, we’re looking at you, through normal lenses). But have no doubt—practical AR is coming to a market near you sooner than you think.
The tech behind AR has been around for at least two decades. In the early 1990s, the Air Force started working on a heads-up display (HUD) for pilot training it called “virtual fixtures.” Luckily, other terminology won the day after a second experimental group published a study titled “Knowledge-based Augmented Reality for Maintenance Assistance.”
Naturally, game makers have shown the most interest, but that’s not where the real action is in the AR development. Pokemon Go was only a test. Here’s a look the latest applications of AR that will have a much wider impact on society in the days ahead. Read More
SmartBear—a company that creates monitoring tools—released another 35 page, detailed study of code review and collaboration. You can read the whole study here, but who has the time for that? No need to worry about missing out, we read it for you and pulled out what we feel are the highlights.
The findings are a compilation of responses from 550 developers representing about 30 different industries. Some of these industries are computer software, mobile development, systems integration, aerospace, insurance, industrial manufacturing, and game development. All sizes of organizations are represented from smaller teams with just a few developers to large companies with over 50 software team members. Read More
Did you know that 75 percent of executives anticipate their organization’s software projects will fail? While IT projects are notoriously challenging to plan and measure, industry studies reveal that failure is common and just as costly as you think.
No matter your philosophy on agile, scrum, waterfall, or some mix in between, we feel there are few things every good project needs to be successful.
There is currently a nationwide shortage of individuals with the skills needed for data science, DevOps and data engineering positions, and the latest research confirms that wages are rising along with demand.
Glassdoor’s annual report of the 50 best jobs in America relies on three different metrics:
- Number of Job Openings
- Overall Satisfaction Rating
Out of the top 10 positions, 6 were heavily technical roles. Read on to learn why companies in the Silicon Prairie and nationwide are putting together generous offers for individuals with the following skill sets:
At this point, there is little that technology is incapable of doing. We can automate just about any process if an application doesn’t exist today – build it from scratch, and with AI and machine learning we have barely scratched the surface of what is possible. New technologies can be developed and scaled quickly, solving problems for millions in a few short years, months, or even days.
With technology, we can solve problems- we already know this. But how do we know if we are solving the right problems? Read More
Over the last five years, there has been a 372% increase in demand for data analytics. In response, two local UNO professors have developed a data analytics concentration for the economics program. Is economics the logical point to launch a study in data analytics? These professors feel it is exactly the right spot. Local employers and area experts are clamoring for more data talent. These two gentlemen hope to meet that demand. They were kind enough to answer a few questions about the new concentration.
The average employee has 62 meetings a month, spending 31 hours in unproductive meetings resulting in a $37 billion salary cost.
We all know the basics of meetings 101- have an objective, start and end on time, give everyone an opportunity to contribute, stay on topic, don’t hold excessive meetings, etc.
…mind-blowing stuff here I know.