Harvard Business

JULY 5, 2018

The model was honed by Jack Welch in the 1980s and 1990s, with new portfolio restructuring strategies and a headlong expansion into finance. Simplifying a bit, the chief explanations were these: First, that GE benefited from scale and dominant market positions in industrial businesses. Private equity and the new capital markets.

Software 28

Software Industry Education Information Technology 28

Harvard Business

JUNE 7, 2017

This transformation will not be easy, and we expect that while a number of companies will be able to adapt and grow their market share, others will go out of business in the process or shrink significantly. In the meantime, more shareholder proposals will address climate change issues, raising important questions for boards of directors.

Energy 28

Energy Transportation Information Technology Information Technology 28

Harvard Business

MAY 19, 2016

Nevertheless, few would argue that information technology permanently increased unemployment. Research that I and my colleagues have conducted suggests that the skills gap persists mainly because employers are unwilling or unable to pay market price for the skills they require. However, I argue that this view is not correct.

Education 37

Education Data Training Training 37

Harvard Business

DECEMBER 6, 2018

Instead they are waiting for the technology to mature and for expertise in AI to become more widely available. They are planning to be “fast followers” — a strategy that has worked with most information technologies. We think this is a bad idea. This is particularly true for complex knowledge domains.

Company 28

Company System Engineering Data 28

Harvard Business

APRIL 28, 2016

And you probably won’t even know you’ve been affected until it’s too late to prevent significant damage to your company’s finances, operations, and reputation. But the scale of the problem means cybersecurity should be a concern for every executive, from HR to Marketing. The risk is growing.

Data 28

Data Intellectual Property Industry System 28

Harvard Business

MAY 4, 2017

It has benefited the tech industry enormously, and other sectors, including health care, science, and finance, have also used it to fill gaps in their workforces. For example, Axios reported that 72.4% It allows companies to hire foreign workers for specialized jobs that can be challenging to fill. But in April, just after U.S.

Engineering 30

Engineering Talent Information Technology Information Technology 30

Harvard Business

JULY 14, 2017

Let me take my favorite example, the Network Time Protocol , or NTP. This is just one example. Open Collective is providing resources to aggregate the needs of groups of open-source projects to assist in financing, resourcing, and maintenance. The same goes for software programs.

Software 28

Software Development Resources System 28

Harvard Business

DECEMBER 11, 2018

What they realize is that they’ve always treated finance and financial management as a tier-one asset. Even technology, information technology, you know, they’ve invested in treating that as a tier-one asset. And then you think about how new entrants come into the market. Angelia Herrin, HBR.

Apparel 29

Apparel Enterprise Productivity Company 29

Harvard Business

APRIL 18, 2016

But it’s dangerous and naïve to assume that better technology and more data guarantee better outcomes. LTCM was founded, in 1994, by some of the best minds in finance theory, including two Nobel Prize winners. For example, strategies in predictable classical environment require a logic of “analyze, plan, execute.”

Strategy 28

Strategy Strategy Strategy& Engineering 28

Harvard Business

MAY 20, 2016

For example, take Kim Russo, head of marketing at TeleTech Services. Data managers and scientists of all sorts (not just data scientists) are obvious candidates, as are people who work in finance, planning, logistics, customer service, and the back office of most companies.

Data 33

Data Company Finance Management 33

Harvard Business

SEPTEMBER 22, 2016

That’s the research firm IDC’s estimate of the size of the big data market, worldwide, in 2016. ” Senior executives hedge their plans because they don’t trust the numbers from finance. Consider this figure: $136 billion per year. This figure should surprise no one with an interest in big data.

Data 28

Data Operations Finance Government 28