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Curated by Andrew Johnson. Partner Update is a weekly curated publication for those that get stuff done and make things happen. Subscribe now and never miss an issue.

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Issue 15  1st July 2015

The Future Supermarket Will Be a Learning Space, Too

A new concept for supermarkets ....

psfk.com

The Man Who Makes the Future: Wired Icon Marc Andreessen | WIRED

HE’S NOT A household name like Gates, Jobs, or Zuckerberg. His face isn’t known to millions. But during his remarkable 20-year career, no one has done more than Marc Andreessen to change the way we communicate.

wired.com

Can an Algorithm Hire Better Than a Human? - NYTimes.com

Hiring and recruiting might seem like some of the least likely jobs to be automated. The whole process seems to need human skills that computers lack, like making conversation and reading social cues, think again ....

nytimes.com

The four global forces breaking all the trends | McKinsey

Some global trends that could impact us all ....

mckinsey.com

How to Negotiate with Powerful Suppliers | Harvard Business Review

In many industries the balance of power has dramatically shifted from buyers to suppliers, interesting article on supply chain and negotiation.

hbr.org

Are you ready to decide? | McKinsey & Company

Questions to ask on major projects ...

mckinsey.com

Wild Tales | Sony

This week not a book recommendation, but a movie recommendation with French sub tittles

sonyclassics.com

A World Without Work - The Atlantic

How work could change ....

theatlantic.com

Why Startups Love Moleskines - The New Yorker

Thought paper was dead, think again, personally it annoys me how more productive paper can be, as I have not yet found that perfect app for taking notes (quickly) .....

newyorker.com

An executive’s guide to machine learning | McKinsey & Company

Machine learning is based on algorithms that can learn from data without relying on rules-based programming. It came into its own as a scientific discipline in the late 1990s as steady advances in digitization and cheap computing power enabled data scientists to stop building finished models and instead train computers to do so.

mckinsey.com
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