Insurers will use AI across different channels – in context - to deliver experiences that make customers happy.

Now more than ever, organizations realize that to manage their unprecedented data growth, a solid data strategy must be front and center for them to survive and thrive.

It is an exciting time for IT. But also an exceptionally unsettled one, as rapid evolution is the norm and change that will shape a business's destiny is coming from all directions.

Data analytics will become more embedded in day-to-day processes specifically to provide analytics and AI insights within the flow of business.

A new program at Purdue University aims to improve health outcomes by applying real-time physiological data from wearable sensors.

Looking ahead into the new decade, we will begin to see an acceleration of AI adoption as the lines between data and AI begin to blur.

Decision makers oftentimes do not fully understand the technology and have not thought through the true costs of implementing artificial intelligence in their organization.

Insurers see the highest potential in machine learning, robotic process automation (RPA), and technologies to analyze unstructured data.

Artificial intelligence will shape the technology landscape of the 2020s, but unintended consequences pose big risks, according to a new report from ISACA.

Heading into the New Year, many enterprises are looking at how AI and data analytics can drive their digital transformation journeys.