Mary Shacklett

Organizations must still build trust in AI before they deploy it throughout the organization. Here are some simple steps to make AI more dependable and ethical.

AI has the potential to help healthcare call centers—and it couldn’t come at a better time. Callers are frustrated and needing help more than ever, so this solution could make a big difference.

Americans lost $29.8 billion in phone fraud over the past year. Can AI fraud detection change this?

Analytics has played a significant role in the fight against COVID-19. Would we be as far along in the battle without it?

The integration with geospatial and other technologies can be a challenge. Here are ways to overcome the digital hurdles.

Auditing your AI and big data can be a challenge. But there are some questions to ask to get you on your way to compliance and governance.

Nobody is going to invest in a technology that they don’t fully get. Helping them understand how and why it works will encourage adoption.

As you plan your big data strategy for next year, keep these seven goals in mind.

Some companies are using AI for end-to-end decision-making, but not all decisions can be made without human intervention. Here are some real-world cases.

Most CIOs aren’t comfortable with letting the AI take over decisions. But it does help them make better, less biased ones.

The different types of compression can have a huge effect on your big data transfers. Knowing what types to use is important for your business.

How you manage massive amounts of data depends on how you intend to use it. Here are some steps to get started.