Analytics

As the number of firms implementing big data projects grows, many cite a number of significant challenges.

Data visualization, dashboards, data integration and data quality are among the features cited as most critical by firms.

Machine learning, deep learning and natural language processing are among the technologies that will help drive organizational success.

Virtually every organization will be affected, putting new pressure on creation, collection, utilization and management.

But carriers are interested in improving customer relationships with more value-added services, says NTT Data survey.

Carriers have a ways to go to incorporate insurtechs’ innovations into their processes, Accenture says.

The typical organization today is drowning in data, and IT and business leaders need immediate insights to drive innovation, says Zoomdata executive.

A future where artificial intelligence makes deep connections in insurance data isn’t that far off, says Novarica.

The greatest investments will be in banking, healthcare, insurance, securities and investment services, and telecommunications.

Fraudsters are getting more sophisticated, but carriers can keep up with innovation.