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.
Privacy Compliance May Get Tougher Soon
Organizations have had a tough time trying to comply with the European Union's GDPR and now they have to consider the potential effect of the California Consumer Privacy Act (CCPA).
Modern Advances in Disaster Alert Technology
When lives are on the line information can make the difference between survival and tragedy. Here's a look at the technology organizations are using to communicate with the public and employees before, during, and after a disaster occurs.
Six Steps for Businesses to Earn AI Trust
The growing reliance on AI and machine learning in the coming decades can have a negative impact on many jobs while raising new social issues. Yet, businesses can minimize those impacts.
Continuous Processes Feed the Gig Economy
As more business processes move toward real-time and near-real-time, companies are finding themselves with skill shortages. One good way to fill the gaps is with "gig workers" who can be scaled up or down as required.
Tools Tackle AI's Bias, Trust Problem
AI and machine learning deployments are hitting the mainstream in enterprises, but executives still hesitate to blindly accept insights from inside the "black box" without seeing the logic behind them.
Job Loss and AI: Startups Accentuate the Positive
A new report from Village Capital highlights the opportunities for startups to contribute to a positive future for workers in a world re-shaped by the input of artificial intelligence and automation.
How to Woo Data Scientists to Your Enterprise
What factors motivate data scientists and other data analytics professionals to take new jobs? A new survey looks at factors including salary, opportunities to learn, challenging work, and benefits.
Getting into Analytics: One Professional's Story, Advice
Aimee Lessard didn't start off as a high-ranking analyst with the intelligence community and data analytics private sector companies. She learned on the job. Here are some of her recommendations for how to get started with analytics, machine learning and AI.
Doing Computer Vision Without Cameras
The way you walk, the way radio waves reflect off your body, and your body's thermal signature all play into the ability for AI to identify you without the use of a camera.
Big Data in the Cloud: Avoiding Vendor Lock-in
More enterprise application and big data vendors are pursuing a cloud-agnostic strategy -- supporting AWS, Microsoft Azure, and Google Cloud. Big data platform provider Hortonworks is taking that strategy one step farther.
The Right Fit: Choosing an AI Strategy
Dun & Bradstreet is transforming its own internal AI and analytics operations, even as it helps customers with their analytics and machine learning transformations.