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Get Simpler, Stay Simpler – Futurethink

WhySimpleWins-3D-237x300At Apple, Steve Jobs was famous for asking his deputies a simple question: “How many times did you say ‘no’ today?”

By asking it, Jobs was sending a clear message to focus and take control.

Jobs didn’t want leaders coming to him for sign-offs on every decision. He didn’t want them to be scared to take action. Rather, he was giving his people authority, and he expected them to use it.

If these leaders were saying “no” every day, it meant that they were making decisions on their own.

In complicated organizations, people are constantly claiming they can’t get things done because another department hasn’t signed off, or they can’t move forward because some other team hasn’t provided enough data.

Leaders operating with a simplicity mindset short-circuit those complaints. They make decisions quickly and cleanly, and they inspire those they work with to do the same. They say “no” to unnecessary things to make space for work that matters.These leaders have also gained a valuable insight: don’t try to simplify everything at once.

Read more: Get Simpler, Stay Simpler – Futurethink

Accenture Positioned in As-a-Service Winner Circle for #DesignThinking …

“HfS Research launched this Blueprint to explore and share how the human-centered, action-oriented principles and methods of Design Thinking are being integrated into the way service providers work in business operations and outsourcing,” explained …

Read all: Accenture Positioned in As-a-Service Winner Circle for Design Thinking …

Impressive The Outcome Economy – A #Data Driven Economy Based On Sustainable #Value Creation

THE OUTCOME ECONOMY – A DATA DRIVEN ECONOMY BASED ON SUSTAINABLE VALUE CREATION

Each technological age has been marked by a shift in how its industrial platform enables companies to rethink their business processes and create wealth (1).

As we are standing on the brink of a new chapter of capitalism are we limiting our ability to rethink due to how we read, measure and perceive the world – how we cherry pick our data?

By limiting our data to what can be easily measured, the digital industrial age (industry 4.0), once such a promising new chapter, has been reduced to nothing more than an efficiency gain to the extractive business processes of the 20th century

.This needs to change!This article is from my talk at the Smart & Clean Helsinki Metropolitan side event at this years SLUSH Festival in Helsinki.

The dark secret

The world is keeping a secret from us – our aggregate efficiency. It is the amount of energy coming out of a process compared to how much is going in. And the secret is that this number has been stuck at 13% (US) for the last 30 years (in Japan it’s at 22%) (3).

So, no matter how much innovation and effort we put into the system we are still burning this planet’s resources by a measure of 87 to 78 percent for every process we perform in production and distribution.

To be clear: our current technological platform, even at maximum efficiency, hasn’t got the capacity to decrease the burn rate on our planet.

The solution is zero marginal cost

Read all The Outcome Economy – A Data Driven Economy Based On Sustainable Value Creation – Jokull | Helge Tennø

McKinsey: The technical potential for #automation in the US (and elsewhere) #digital #tech More than a Manichean guessing game

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? I

In fact, as McKinsey research has begun to show, the story is more nuanced.

While automation will eliminate very few occupations entirely in the next decade, it will affect portions of almost all jobs to a greater or lesser degree, depending on the type of work they entail.

Automation, now going beyond routine manufacturing activities, has the potential, as least with regard to its technical feasibility, to transform sectors such as healthcare and finance, which involve a substantial share of knowledge work

My point of view: for everyone – profit or non-profit – a fundamental understanding of how digital impacts your work, career and life is a hard prerequisite to thrive in the next decades. But that does not imply you should in coding and that kind of stuff.