Harvard Business

JUNE 27, 2016

In our survey (not yet publicly published) of almost 170 industrial organizations, 96% of respondents agreed or strongly agreed that machine learning is automating process-change management inside their organization. Japanese, and Korean companies, which produce only three standard configurations.

Automotive 33

Automotive Construction Survey Software 33

Epicflow

JANUARY 12, 2024

The event will be of interest to project controls engineers, project leaders/managers, resource managers, change management experts, risk managers, business consultants, and more. In particular, the discussions will focus on the need to adapt latest technological solutions to achieve operational effectiveness.

Industry 52

Industry Automotive Pharmaceuticals Management 52

Harvard Business

AUGUST 28, 2017

And AI success stories are becoming more numerous and diverse, from Amazon reaping operational efficiencies using its AI-powered Kiva warehouse robots, to GE keeping its industrial equipment running by leveraging AI for predictive maintenance. Investment in AI is growing and is increasingly coming from organizations outside the tech space.

Survey 40

Survey Tools Industry Automotive 40

Harvard Business

DECEMBER 29, 2016

But what about the ordinary engineers, managers, and employees who designed cars to cheat automotive pollution controls or set up bank accounts without customers’ permission? Companies can warp their own ethical climate by pushing too much change from the top, too quickly and too frequently. Cross-cultural differences.

Ethics 39

Ethics Company Emotional Intelligence Study 39

Harvard Business

MARCH 19, 2018

Many industries from aviation to automotive to nuclear power have been applying this concept of “process before technology” for a long time. It takes more design time to create a care model that builds in quality and efficiency, but without that work upfront, the technology doesn’t matter and, in fact, only increases costs.

System 35

System Automotive Data Information Technology 35

Harvard Business

DECEMBER 13, 2016

A team of engineers, designers, operations specialists, and clinicians was assembled and led by an experienced, well-respected physician “chief engineer” whose vision for the future of care was disruptive. The innovation and operations teams must work together and negotiate the use of these resources. Protect the work.

Case Interview 28

Case Interview Insurance Insurance System 28