David Weldon

Analytics, cloud computing and security are among top skills employers seek.

Many organizations struggle to turn data into insights into action. AI enables that process in a cycle that optimizes continuously, says Forrester senior analyst Brandon Purcell.

If artificial intelligence efforts are to succeed they need to focus on solving real consumer needs, says Forrester analyst Jennifer Wise.

Most say they are uncomfortable with artificial intelligence, despite being exposed to the technology more than they realize.

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

The inability to easily access, refine and collaborate on information continues to be a large roadblock for many analytics projects, says Zaloni exec.

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.

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