Articles

Debiasing Our Statistical Algorithms Down to Their Roots

Eliminating bias in the data and algorithms that drive artificial intelligence and machine learning initiatives requires constant vigilance on the part of not only data scientists but up and down the corporate ranks.

Don't Get Side-Tracked by Flashy Metrics, Success is in the People

Defining KPIs can be a whole different ballpark when you're in public sector IT. But even if you're not, the takeaway from these stories can easily be applied to the private sector: focus on the impact, the people, the customer, and success will follow.

How to Prepare for the Machine-Aided Future

More business processes and highly-specialized tasks are being targeted for automation with the goal of making people and companies more efficient. If you haven't considered how intelligent automation will affect your career and your company, and even if you have, following are some points to consider that may help you navigate the issue.

Re-Architecting for the Cloud: Optimize Your Migration Strategy

Re-architecting for the cloud is never easy, but following some key steps can result in an optimized strategy that positions your company for cloud migration success.

When Nations Vie for AI Supremacy

Countries, as well as companies, are vying for supremacy in the artificial intelligence market.

5 Traits Organizations Need to Get Value from Machine Learning

A new report identifies the traits of organizations that are getting value -- higher revenues and profits -- due to their machine learning initiatives. Does your enterprise have what it takes?

5 Things You Should Know About Hybrid Cloud

Many enterprises are adopting hybrid cloud strategies, but in doing so, they face significant challenges.

5 Mistakes to Avoid When Building an Enterprise Data Warehouse

While it's a challenging and time-consuming process, the creation of an enterprise data warehouse stocked with the right data will ease management, empower the business, and enhance the customer experience.