The centralization of more corporate data in the cloud is also precisely what’s needed for companies to develop AI capabilities from better predictive algorithms to increased robotic automation.

The Economist Intelligence Unit survey finds respondents predict that AI will lower their cost base, spur new products and services, open up new markets or industries, and pave the way for innovation.

Tokio Marine is also using a new product developed by Tractable, Loss Adjuster Application.

Robots run by algorithms will do a lot of jobs, replacing the human workers who in many cases will have trained them.

A group of German startups are working on an application that will help the government track people who have been exposed to the novel coronavirus and, ultimately, ease restrictions when the pandemic begins to subside.

Artificial intelligence is a prime example of an important technology field where the majority of promising startups have been gobbled up, frequently ending public availability of any products they created

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.

The findings of a new survey show that many field agents think the technology tools provided by their organizations are not evolving as quickly as their needs are.

Nearly two-thirds of carriers surveyed overall are adopting AI and machine learning technology.

Here’s a look at two use-cases for AI in health insurance that are starting to make headway.

The global chatbot market was valued at $1.17 billion in 2018 and is expected to reach $10.08 billion by 2026, expanding at a compound annual growth rate of 31 percent, according to research firm Reports and Data.