Data, AI, & Machine Learning

The 2017 Data & Analytics Report by MIT Sloan Management Review finds that companies that embraced analytics have begun to find new ways to derive strategic benefit from analytics.

To grasp how artificial intelligence will change organizations, understand how it delivers value.

The ability to monetize data — not hoard it — can offer competitive advantage in the digital economy.

Miscommunications between decision makers and data scientists are common. Enter the data translator.

HR analytics is the next big change in human resources management.

Technology innovators should be wary of letting big data speak for itself.

Organizations across the business spectrum are awakening to the transformative power of data and analytics. They are also coming to grips with the daunting difficulty of the task that lies before them. It's tough enough for many organizations to catalog and categorize the data at their disposal and devise the rules and processes for using it. It's even tougher to translate that data into tangible value. But it's not impossible, and many organizations, in both the private and public sectors, are learning how.

South Africa's Nedbank is a leader in its market — but to stay in that position, it needed to identify new ways to serve its existing business clientele as well as attract new customers. Its solution: Use the extensive transaction data the bank collects to help customers improve their service.

Instead of replacing human workers, software robots are an opportunity to augment their skills.