AI & Machine Learning
Video: The Impact of Machine Learning on Work Is Bigger Than You Think
A new phase of technology-enhanced work is upon us.
A new phase of technology-enhanced work is upon us.
The value of enterprise-level AI depends on what an organization’s people do with it.
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.
Here are the essential elements of a transformative IoT strategy.
Advanced risk identification tools require companies to take a new approach to supply chain resilience.
Automation and robotics could have far-reaching effects on labor — ones we’ve seen before.
What’s happening this week at the intersection of management and technology.
Instead of replacing human workers, software robots are an opportunity to augment their skills.
Digital transformation has been positive in many ways, but some long-term trends are troubling.
In the age of machine learning, what should managers know — and what must non-tech companies do to stay ahead?
While humans may be ahead of computers in the ability to create strategy today, we shouldn’t be complacent about our dominance.
Human labor isn’t going away, but automation may greatly affect the quality of available jobs.
In the future workplace, humans may supplement the skills of machines — and not the other way around.
Management still requires a human touch, no matter how smart our machines have become.
What’s happening this week at the intersection of management and technology.
Managers today expect computing technology to augment rather than replace the work of humans.
This on-demand webinar highlights research from “Only Humans Need Apply: Winners and Losers in the Age of Smart Machines.”
Nine bits of information to consider about the emerging Internet of Things.