Data, AI, & Machine Learning

The IoT creates connections among organizations and their customers, suppliers, and competitors.

While humans may be ahead of computers in the ability to create strategy today, we shouldn't be complacent about our dominance.

While the financial services industry is increasingly turning to data and analytics, educating its non-quant managers is proving to be a challenge.

We are on the cusp of a major breakthrough in how organizations collect, analyze, and act on knowledge.

New research shows bias exists even in merit-based systems — but a data-centric approach can help.

Open-innovation platforms, used thoughtfully, can expand a company's access to analytics talent.

Performance topology maps offer managers a signpost pointing toward smarter strategies.

Algorithms are fundamentally redefining the roles of worker and manager.

The Bank of England, one of the world's oldest and most influential central banks, has made analytics excellence a key pillar of its mission to promote economic stability within the United Kingdom. Like other central banks, the Bank has relied on data and analytics to formulate policy recommendations. But, since 2008 when it regained its status as a regulator, the Bank has begun using its access to new forms of data to increase its insights and forecasting abilities about the British economy.

Stanford economist Nicholas Bloom's study of 30,000 firms identifies the practices common to well managed operations.