Harvard Business

MAY 31, 2016

” Insight Center. Operations in a Connected World. The exceptional organizations that succeeded understood that lean requires a massive effort involving many changes at once, mostly centering on people: the role-modeling of new behavior, the transparency of communication, the fostering of new capabilities.

Operations 28

Operations Data Engineering Software 28

Harvard Business

DECEMBER 4, 2017

Insight Center. Our network statistics at Shape Security show that a typical credential stuffing attack has up to a 2% success rate on major websites. This statistic is alarming, but in fact it significantly understates the scope of the threat. Here’s how that attack works. Cybercriminals take advantage of this.

Data 32

Data ROI System Education 32

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. Our results are weighted to reflect the relative economic importance of firms of different sizes.

Survey 41

Survey Tools Industry Automotive 41

Harvard Business

DECEMBER 5, 2016

Behind the glamor of powerful analytical insights is a backlog of tedious data preparation. Behind the glamor of powerful analytical insights is a backlog of tedious data preparation. Insight Center. The Next Analytics Age. Second, data confers insight and advantage. There is a cost to using data. Sponsored by SAS.

Data 28

Data Software Enterprise Sales 28

Epicflow

JANUARY 12, 2024

Check out our selection of events for project/resource managers, business leaders, and industry professionals, which will provide you with valuable insights into recent trends and challenges, networking opportunities, and contribute to your professional development.

Industry 52

Industry Automotive Pharmaceuticals Management 52

Harvard Business

OCTOBER 16, 2018

Data and analytics professionals seem to be at the center of the next big race for talent. In our experience, most companies don’t need a small army of data scientists or bleeding-edge analytical techniques. What they do need are analyses that solve key commercial and operational problems. Building Internal Capabilities.

Analysis 28

Analysis Data How To Tools 28