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Stephen Dale

An executive's guide to AI | McKinsey & Company - 0 views

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    Staying ahead in the accelerating artificial-intelligence race requires executives to make nimble, informed decisions about where and how to employ AI in their business. One way to prepare to act quickly: know the AI essentials presented in this guide.
Stephen Dale

Video on AI | McKinsey & Company - 0 views

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    From science fiction to business fact. 45% of activities - not jobs can be automated. Quarter to a third of CEO's time can be automated.
Stephen Dale

Burned by the bots: Why robotic automation is stumbling | Digital McKinsey | McKinsey &... - 1 views

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    Installing thousands of bots has taken a lot longer and is more complex than most had hoped it would be. The 'robotics evolution' had stalled where companies try to scale the localised proofs of concept. #ai
Stephen Dale

What's now and next in analytics, AI, and automation | McKinsey & Company - 2 views

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    "Innovations in digitization, analytics, artificial intelligence, and automation are creating performance and productivity opportunities for business and the economy, even as they reshape employment and the future of work."
Stephen Dale

Adopting an ecosystem view of business technology | McKinsey & Company - 0 views

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    To fully benefit from new business technology, CIOs need to adapt their traditional IT functions to the opportunities and challenges of emerging technology "ecosystems." Here's how it's done.
Stephen Dale

Where machines could replace humans--and where they can't (yet) | McKinsey & Company - 0 views

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    As automation technologies such as machine learning and robotics play an increasingly great role in everyday life, their potential effect on the workplace has, unsurprisingly, become a major focus of research and public concern. The discussion tends toward a Manichean guessing game: which jobs will or won't be replaced by machines?
Stephen Dale

Are you ready to decide? | McKinsey & Company - 1 views

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    Good managers-even great ones-can make spectacularly bad choices. Some of them result from bad luck or poor timing, but a large body of research suggests that many are caused by cognitive and behavioral biases.
Gary Colet

Getting big impact from big data | McKinsey & Company - 0 views

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    Data analytics will no yield results if the output is mistrusted, or if the organisation is not geared-up to respond. 
Stephen Dale

Power to the new people analytics | McKinsey & Company - 0 views

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    Use of data analytics on HR data to provide insights to improved employee retention.
Gary Colet

Bill Ford charts a course for the future | McKinsey & Company - 1 views

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    A must-read article for anyone interested in innovation in large corporations
Stephen Dale

Rise of the networked enterprise: Web 2.0 finds its payday - McKinsey Quarterly - Organ... - 6 views

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    New McKinsey research shows that a payday could be arriving faster than expected. A new class of company is emerging-one that uses collaborative Web 2.0 technologies intensively to connect the internal efforts of employees and to extend the organization's reach to customers, partners, and suppliers. We call this new kind of company the networked enterprise. Results from our analysis of proprietary survey data show that the Web 2.0 use of these companies is significantly improving their reported performance.
kin wbs

McKinsey article on Knowledge and Talent markets - 0 views

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    "relevant to both the September and December workshops."
Phil Ridout

Six ways to make Web 2.0 work - McKinsey Quarterly - Business Technology - Application ... - 0 views

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    Over the past two years, McKinsey has studied more than 50 early adopters to garner insights into successful efforts to use Web 2.0 as a way of unlocking participation.
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