Machine Learning

In risk-averse market, research suggests adoption will grow only if smart manufacturing solution vendors 'define, prioritize, prove and present their business case before approaching this sector.'

In this blog post, I’ll summarize some key learnings I drew from the event and share some insights on Demand Driven supply chains and the industry’s technology landscape.

Can we talk about robots?

As we enter the last half of 2018, companies will continue to turn to technology to increase efficiencies while at the same time begin addressing industry constraints such as the electronic logging device mandate, tariffs, diesel prices, higher rates, capacity crunch, and the customer experience.

Multiyear collaboration, led by Professor David Simchi-Levi, will focus on advancing research in machine learning, optimization, and consumer behavior modeling.

Increasingly sophisticated AI will usher in a world that is strange and different from the one we're used to, and there are serious risks if this technology is used for the wrong ends.

Coupling the advances in computer vision with the increase in computing power and adding the advances in machine learning and artificial intelligence, robotic systems are becoming more capable every day especially in material handling.

Conversations with hundreds of business leaders reveal nine ways that they are, and are not, adapting to the advanced analytics, big data, and machine learning revolution.

Big data’s potential just keeps growing, taking full advantage means companies must incorporate analytics into their strategic vision and use it to make better, faster decisions, this paper helps organizational leaders understand the potential impact of data and analytics.

Machine learning is a disruptive approach to forecasting, and retailers running complex omni-channel businesses in highly competitive markets must give serious consideration to machine learning based forecasting.

For retailers, the ability to capture and analyze retail data to make marketing suggestions is well recognized, however, as a transformative technology, it’s no little black dress that pulls everything together, it’s actually an accessory, and the same can be said for machine learning.

Automation is happening, and it will bring substantial benefits to businesses and economies worldwide, but it won’t arrive overnight, a new McKinsey Global Institute report finds realizing automation’s full potential requires people and technology to work hand in hand.

This report contributes to McKinsey Global Institute’s mission to help business and policy leaders understand the forces transforming the global economy, identify strategic locations, and prepare for the next wave of growth.