Year: 2021

“People who have no emotional stake in a decision can see what needs to be done sooner.”

—Andy Grove, former CEO of Intel

What’s in for your business partner is as important as what’s in for your customer.

I’m reviewing the business opportunity for System Integrators to work with Ansible Automation Platform and there’s huge potential.

The biggest challenge is enabling SIs with knowledge and skills

Orgs that want to move to SaaS or expand their cloud presence struggle to find both engineers and executives. My first-hand experience: transitioning to a SaaS delivery model is really hard in terms of culture, business model, pricing, customer engagement

https://t.co/r3K4Bxlb5O

“One of the most common mistakes companies make is to try to inorganically grow the customer pipeline before the product is retaining existing customers.” https://t.co/jz6cdeYlCj

@jffrykkn Thanks. This might change due to antitrust investigations pressure.

Now Noir also has image dimming, something I didn’t see before. I love it.

I switched default browser to Safari on iPad and iPhone exclusively because of this extension.

Highly recommended. https://t.co/MzCBP5rdf6

Extensions are quickly becoming a huge compete advantage for Safari vs other browsers on #iOS15. Can other browsers use them, too, or is it exclusive to Safari?

“What evidence would you need to see to change your mind?”

The honest answer to this question is usually: “I need a new story that’s more immediate, more vivid and most of all, more culturally aligned than the one I have now.”

https://t.co/Fqs17qOEKw

The scientific method is barely used in everyday life because it’s not part of popular culture. We don’t use it on daily basis at school until (too) late, it’s not part of the education we receive from our parents, it’s barely mentioned in publications and TV shows.

Similarly, and aside a few exceptions, we don’t aspire to embrace a data-driven approach in business. Few of us have statistical education to understand the meaning of data. And we constantly misinterpret data because of our many biases and the noise in our judgement.