Machine learning

Leaders of the finance organizations want to be leaders in developing data and digital strategy, according to Accenture survey.

For AI in insurance, the conversations have moved beyond the use cases and on to the pragmatic details.

Technologies such as autonomous vehicles, AI, wearables, the Internet of Things, and more have emerged as power players.

One of the most important aspects of data management is ensuring data quality. Without this, capabilities such as machine learning and advanced analytics might yield faulty results.

While several emerging technologies are grabbing plenty of headlines this year, there are many “digital disruptions” that may catch chief information officers off guard.

Data trash engineers, algorithm bias auditors, virtual identity defenders and cyber calamity forecasters are among the jobs that will play critical roles in the new digital workforce.

Many carriers are leveraging some type of artificial intelligence to solve widely variant business problems.

Many insurers are hesitant to invest in AI without proof that these theoretically smart systems will yield real-world returns.

AI-powered assistants will change the customer experience for the better, but first they must achieve a more human level of service, according to panelists.

DimensionalMechanics, Immuta and Octopai are among the leading vendors in the machine learning space, according to a new report from Gartner.