Tag Archives ai

On DevOps


Digging into the magnificent world of DevOps. It’s fun to see how one interest leads to the next. From data analytics to artificial intelligence and machine learning. From straight up agile teams to DevOps organizations. It goes hand in hand with what I’m exposed to at work.

Also, I miss working with robotics and physical products so much!

I catch myself watching Boston Dynamics videos while drinking my morning coffee. Reminiscing about the days when I built robots with my friends, not knowing what agile is, but working agile. Not knowing what lead time or customer value is, but feeling a positive sense of urgency to get it done and caring for the end result.

If you haven’t read up on DevOps (basic software manufacturing and care principles), then I highly recommend the DevOps Handbook!

Workshop on ML and AI


Yesterday I had a full day design thinking workshop on machine learning and artificial intelligence! It was a long day but we had so much fun thanks to our amazing Innovation & Incubation team that helped me to facilitate the workshop. I’m so pleased with our tangible results!

This is the best part of my job: mixing business with high tech. Creating value and exploring new possibilities. Taking the seemingly impossible and thriving in finding the way forward!

Podcast on digital innovation


Today I’m making a podcast together with a colleague from the Innovation and Incubation team on how we can implement our values when building digital systems!

We’re discussing digital innovation, our collaboration with Space10 on artificial intelligence, and app development. And my personal favorite: how we create IT systems with simplicity in mind! Simple development, infrastructure, maintenance, run, integration and user experience!

Values in the digital


The people who define, build and implement digital systems are also the people who build in values in those systems. They consider factors like user experience, is it easy to use? Does it make the user happy to use it? Is the user more positive about the system after using it than before?

So much of the interface to the digital systems we use are based on our emotional response. The little red notification is one example. But how about a step deeper into the digital? What happens beyond the layer of aesthetics?

While our human brain does not have the same computing power as and actual computer when it comes to logical problems such as calculations, it is still the foundation of our humanity. It’s the way we make decisions based on emotional and logical responses.

Next week I’m making a podcast together with my colleague (former Captain) Monaco on the topic of how we can integrate our values into the systems that we build. Seems kind of fluffy and holistic at first, but considering that the company we work for are specialized at producing physical products that incorporate a certain set of values, why shouldn’t we be able to do it in digital products? And if so, how would we go about doing that?

If people are the ones that build in values into a system, how do we make sure that the right people are implementing them? Just like a steering group becomes more efficient with a diversity of participants, will our digital systems become more efficient if we have a diversity of the people building them? This becomes even more important when we build algorithms that help us humans to make judgement calls: should we go for option A or option B. It becomes the judgement call of the person who built the algorithm. So many questions and thoughts!

Algorithms and leadership


Lazy watching Google tutorials on machine learning on my way to Gothenburg. I have a weekend together with my classmate Louise from the industrial management master programme at KTH in Stockholm!

We met during a preparatory leadership course in our third year and she was just so amazing! The best person to have on your team. So I’m psyched to hear about what she’s been up to since we graduated last summer. I remember being so sad to hear that she was moving to the west coast, aaaand then I ended up doing the same!

And who can blame us, look at our view!

For real?!


Tired, because I stayed up late to read up on the new generation of servers adapted to AI tech. If someone would have told me during university that I’d willingly sit up a Sunday night to read about servers.. well I would have asked if they paid me well to do it.

Dear past Rebecca at university. It’s always more fun when you get paid to learn it! Plus AI is the next sexy thing. Keep up the good work girl. You’ll nail those exams eventually!

Hi new readers!


My name is Rebecca! Growing up, I was told that if I work hard and smart enough, I can achieve anything. That is the naive and blind determination that I use to take on each new challenge I face.

My goal is to understand complex concepts and then figure out how to use these concepts to create a better life for people. I enjoy taking on projects that at first seem impossible, and then conquering them. It makes me feel invincible!

I wish with all of my heart that I was born into a later stage of space exploration.


Welcome to my blog! It’s mostly about my everyday working life and thoughts on my career, which is a high focus area in my life right now. I currently travel about 200 days per year, some with work and much on my free time!

I enjoy learning about space, physics, AI and Machine Learning, and psychology. I get my energy from empowering networks, mentorships, traveling, and discussing ideas and concepts.

Because I caught the flu last week I ended up in an involuntary coffee detox that I decided to try to stick to. I really hope that you’ll enjoy my blog, even though my mind is a bit slower than usual.

Finally: I’m glad that you’re here! Let me know if you want to know anything special, otherwise I’ll just blab on about whatever I feel like for the day. These days it’ll most likely be about AI or travels.

Jumping on AI


In management there are a variety of tools that can be used to describe the way that people learn, act, reason, communicate etc. They are models and frameworks that can be used in order to better adapt your leadership style for each person and figure out how you best can lead your team. As I’ve studied these models I’ve also done the assessments myself in order to understand how I work. So after years of studying these models, I find myself thinking “that was such a type 3 learning style thing to say”, “I’m really in development phase 2 right now” or “I’m having a very IF day for an ENTJ today” (yes I’m a total geek).

I’ve been spending a lot of time reading up on artificial intelligence (AI) over the last few months and I’ve reflected over my reaction to each article. I find myself wanting to jump intuitively at each opportunity to implement AI, and my head is spinning with ideas for different relevant areas and problems that it could solve. This is a very type 3 learning style thing to do (type 3 can be described as a get shit done type of person, interested in how I use my new knowledge to succeed).

At the same time, I find myself trying to slow down and not act on my instinct. Trying to be more reflective on if I need more knowledge to succeed with my new vision or if I have enough to start working and then find more info on my way. I think this is a tough balance. Because at some point you’re wasting time when you’re only reading up on more facts and not just getting to work. At the same time, by finding more facts you can succeed faster by avoiding certain pitfalls. But I don’t want to sit around a lifetime just reading more and more, never daring to take the leap. So where is the tipping point? The golden point where you know enough (to get started), and make it happen (while learning more along the way)? I think every innovator in the world is trying to find that sweet spot.

“The trouble with the world is that the stupid are cocksure and the intelligent are full of doubt” – Bertrand Russel