Harvard Business Review

OCTOBER 3, 2017

By Dave Aron, Global Research Director, Leading Edge Forum, DXC Technology. This is especially important and challenging in the IT and digital domains, because the “artist formerly known as the IT organization” is evolving rapidly as new technologies take hold. To win the talent war, companies need to change.

Technology 8

Technology Organization Incubator Content 8

Harvard Business Review

JULY 10, 2012

Two decades ago, organizations were designed around stand-alone business units, so all managers had to understand finance, technology, manufacturing, sales, marketing, strategy, human resources, and more. Finally, carve out innovation incubators that will serve not only to build new businesses but also to grow general managers.

Management 14

Management P&L Incubator Finance 14

Harvard Business Review

SEPTEMBER 4, 2017

.” There is a virtuous cycle between productivity and people: Higher levels of productivity allow society to reinvest in human capital (most obviously, though not exclusively, via higher wages), and smart investments result in higher labor productivity. Productivity in most developed economies has been anemic.

Human Capital 15

Human Capital Kaizen Agility Energy 15

Harvard Business Review

MARCH 29, 2011

Editor's note: This post is part of a three-week series examining educational innovation and technology, published in partnership with the Advanced Leadership Initiative at Harvard University. In this way, TFA, like all organizations, develops particular competencies through the careers of its members.

Entrepreneur 14

Entrepreneur Education McKinsey Sample 14

Harvard Business Review

JANUARY 29, 2015

Key selection criteria included experience in innovative software and service (versus product) development, and an ability to manage a start-up in a very large, complex company. Bill and his team set out to develop a system that could bring all GE machines onto one efficient cloud -connected platform. Bill Ruh was selected in 2011.

Software 8

Software Six Sigma Insourcing P&L 8

N2Growth Blog

JANUARY 10, 2017

Developers do not program cognitive systems in a conventional sense, but rather a corpus of information is created for a specific domain set. Machine Learning Engineer: The objective of ML/DL is to develop a predictive engine for a specific use case. Ultimately, it is strategy rather than technology that will drive value creation.

Positioning 150

Positioning Company Engineering Incubator 150