The Multiplier: BCG X’s Official Blog

Material Processing Systems function like assembly lines but maintain a continuous flow of materials through multiple interconnected steps. Optimizing these systems typically focuses on maximizing the total yield by balancing the two key performance indicators of throughput and quality. This requires identifying the optimal operating parameters that will maximize yield given variations in raw materials and environmental conditions.

Learn how BCG X's ai-driven approach to machine vision in field service operations and manufacturing unlocks $8 billion in value.

By understanding GenAI in ecosystem dynamics, product leaders can use GenAI to innovate, collaborate, and deliver value. Learn more here.

A crisis in public trust in government is driving a focus on a citizen-first approach to service delivery. Discover BCG X's recommendations for driving change.

Today, effective marketing measurement is crucial. Discover BCG X's four-legged framework that turns marketing from a cost center into a profit center.

BCG X explores Minimum Viable Architecture, an approach that streamlines product development and offers a more efficient alternative to traditional architecture.

Many industries find themselves in a constant “war for talent,” with C-level executives giving top priority to hiring, especially the hiring of candidates who can harness emerging GenAI capabilities. Traditionally, talent-acquisition professionals (recruiters) have played a key role in this process, connecting the right talent to the right company. Over time, however, business leaders, candidates, and even many recruiters themselves have taken an increasingly dim view of the industry. It will be up to recruiting professionals themselves, with help from outside, to reverse this downward trend.

A key demand of such scaling is that GenAI systems operate as intended, producing accurate and reliable outputs. Learn more about scaling GenAI here.