While most executives expect AI to have a transformative impact on economic growth and competitiveness, executives may need to temper near-term expectations.

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.

The transition to cloud inevitably changes an organization’s daily business.

Insurers in the line of business are innovating in many areas including quoting, servicing, claims, and the overall customer experience.

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.

Applications architect, author and Apache Software Foundation board member Ted Dunning outlines some of the habits and modern approaches highly successful teams use and others can leverage to get their own AI and analytics systems into production.