Why Mixed Reality is Messed Up, for Now
Augmented reality (AR) and virtual reality (VR) were supposed to transform user experiences, but technologies have had false and soft starts in various industries. Here's why.
Data Silos: Now and Forever?
Data management experts share suggestions on why we are still dealing with data silos and how to break them down.
Who's Hot in Data & Analytics: Top Vendors to Watch
Organizations are using data to facilitate digital transformation, making data analytics a booming market. We highlight vendors that are addressing enterprise challenges with products for advanced analytics, machine learning, and data governance.
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.
Amazon's HR Gaffe Demonstrates Important Points
Amazon recently proved it isn't infallible when it shut down a human resources system that was systematically biased against women. However, there's more to the story that today's enterprise leaders should know.
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.
AI & Machine Learning: An Enterprise Guide
A collection of information resources designed to help enterprise IT professionals launch and advance their artificial intelligence, machine learning and automation initiatives.
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.
Where AI Can Turn 'Buzz' into 'Biz' Today
AI can expedite manual processes that exist throughout an enterprise, but the nature of the human insight is necessary to rationally manage these processes and make contextual decisions.
Risk Management Is Evolving: Are You On Board?
IT risk management is a mature topic, but it continues to evolve with technology. As rules-based systems are supplemented with self-learning systems, IT departments, risks managers and business leaders need to update their thinking.
Tech Companies Poach AI Talent from Universities
In a tight market for AI and machine learning, tech companies have always relied on a secret weapon -- tapping into the talent available in academia. But who will train tomorrow's AI experts?
AIOps to Drive Big IT Pivot
AIOps takes the vast amounts of machine data generated by IT infrastructure and ingests, monitors, and analyzes it to ultimately predict issues before they occur.
What Boards and CEOs Should Be Asking CIOs
Boards and CEOs are more tech-savvy than they once were, but they still don't always know the best questions to ask CIOs. With the push for digital transformation they need to be armed with the right questions at the right time.
Help Wanted: Data Engineers Who Fill Enterprise Need
Data engineers build the infrastructure and tools that data scientists and business users need to perform analysis and create machine learning models. Maybe that's why demand is high for this emerging category of IT pro.
Stop Talking Gobbledygook to the Business
For all of the promise that AI and machine learning have for an enterprise, you won't realize the technology's potential if data scientists blather in data science speak.