Take A Deeper Look at Deep Learning
This form of machine learning continues to grow rapidly. Here's what you need to know as you consider whether to implement deep learning in your organization.
10 Tech Startups to Watch for 2019
These hot startups are finding innovative ways to use technologies such as AI and IoT to help businesses work better, and in addressing the problems of the world.
Top 10 Tech Predictions for 2019
Leading consultancies and analyst firms offer their predictions on how key technologies, such as cloud computing, AI, IoT, and robotics will shape up in 2019.
9 Reasons Why Women Leave Tech Jobs
If you think most women quit because they just don't like working in IT or because their jobs don't offer the work-life balance or parental leave they need, think again.
10 Top Barriers to AI Success
Enterprises are eager to experience the potential benefits from deploying artificial intelligence, but if they want to be successful, they'll need to overcome these technological, organizational and cultural challenges.
5 Lessons for SREs and Their Teams
Now that SRE has become a cool job there's been some washing of the title. Sysadmins and IT ops are being rebranded as SREs without businesses actually making any the changes to their tasks. Here's what you should expect as an SRE as well as tips for excelling in the role.
5 Free Online Machine Learning Courses
Demand for machine learning professionals is growing faster than for any other job. If you are looking to gain the skills needed for that next stage in your career, check out our short list of free online machine learning courses.
9 Traits of Emerging Disruptors
Disruption causes quantum shifts in industries and societal behavior by digitizing the analog, upending economic models and otherwise challenging the status quo. The disruptors differently and act differently than the incumbents. Let's look at how.
10 Leading Female CIOs
While women are still underrepresented in IT, quite a few of the world's largest organizations have female CIOs.
5 Reasons Data Scientists Should Adopt DevOps Practices
Enterprise software development teams have historically had trouble ensuring the code that runs well on a developer's machine also runs well in production. DevOps has promoted more collaboration between developers and IT operations. Data scientists and data science teams face similar challenges, which DevOps concepts can help address.
How AR/VR Analytics May Help Your Business
Alternative and virtual realities provide organizations with new opportunities to reimagine product demos, employee training and more. As the systems collect and generate data, there are opportunities to use the new streams in innovative ways.
5 Keys to Asking Better Questions of Data Scientists
Some enterprises struggle to drive business value from data science efforts because the business and data scientists are not communicating or collaborating well. Here are five things you can do to improve the cross-functional relationships and ROI.
11 Best-Paying Cloud Skills
In a recent survey, IT managers said that they were willing to pay more for employees with these hard-to-find cloud skills.
5 Traits of Truly Innovative Companies
When most people think about innovation, they think of companies like Amazon, Facebook, Apple, and Google because those companies appear to have some kind of magic that other organizations lack. If your company wants to make lightning strike repeatedly, consider these points.
7 Fastest-Growing Tech Job Skills
Which terms do IT employers and job seekers search for most often? There are some significant disconnects between what IT pros offer and what employers want.