Machine learning

Leandro DalleMule takes job as GM of North America for the insurance data platform.

New data quality management practices, data discovery techniques and predictive and prescriptive analytics tools will be among the top trends impacting analytics and business intelligence.

Machine learning adoption has been growing at a rapid pace, and there is no end in sight. Recent forecasts say pilots and implementations, as well as investments, will increase 400 percent by 2021.

Despite the strong and inherently negative narrative around the impact on jobs, the bulk of the impact from the automation of work through AI will result in a 'displacement' of work not a 'replacement' of work.

Representatives of multiline insurers

Leadoff speakers from Digital Insurance's Insurance Analytics & AI conference in New York illustrate an industry operationalizing advanced technology.

Expect to see major changes in how organizations use AI, the rise of new ‘digital workers’ and increased competition for data professionals with AI skills, says Forrester Research.

Rapid deployment of new tool led to use in more than a quarter of claims

Reinsurance company will host startups at Bermuda conference.

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