Mary Shacklett

The cloud is a popular destination for Internet of Things storage, but it doesn’t work in every use case. What’s the best way to develop your edge IoT storage strategy?

The beauty of the Internet of Things is that it can operate on the edge and in the field, but how do you keep it going to minimize failures?

What you look for when you host big data operations on the cloud is decidedly different from what you look for with the hosting of normal apps and data.

In a multi-cloud, multi-data center environment, IT needs new methods for tracking and troubleshooting applications. Observability tools can provide that.

For end users and IT professionals who want to transition to an AI career, these are the skills you need to develop and the steps to take.

Data scientists have to make decisions about which data to include in data repositories. To make this decision-making process easier, learn tips for maintaining control of your data funnel.

Artificial intelligence has a mixed record of success and failure in business processes. What should you do for successful AI implementation?

Artificial intelligence, or AI, is still a learning experience for many business users. One way business users can better communicate about AI with IT and data science staff members is to gain familiarity with frequently used AI terms.

More Americans are suffering from depression than ever before. With moodable sensors, we might finally have an IoT tool for mental wellness.

Knowing when to limit your data dramatically affects the quality of your AI. How do you know that your AI data is enough?

Insights-as-a-service cloud providers can help financial SMBs compete with the big banks in AI and analytics without having to hire expensive data scientists.

Have we finally reached a tipping point on how much time we want to put into our smartphones? Recent research seems to say yes. This may have a dramatic effect on the marketing industry.