In Technology businesses, the ability to respond to uncertainty is the key to success. By treating change as first-class citizenship, Technology teams can ac...
A long term partnership between Product and Technology, rather than a “healthy tension”, is the secret for success.
A well-thought data analytics capability is critical to enhance decision making. But timing in creating it is critical to avoid rework and frustration.
AI is revolutionizing our society. Like all the paradigm shift, it creates few challenges as well as several opportunities.
You don’t need complex process to run your Engineering organisation. Four principles based on common sense is all you need.
Choosing programming languages is more than picking what’s trending now. It’s a strategic decision that can accelerate the company’s success.
The speed of information is such that business leaders struggle to stay up to date with the relevant news. AI comes to the rescue.
Team Autonomy is a crucial trait of innovation. To get it right, both the organisation and the teams have to contribute.
These are the books I’ve been reading over 2020, with my three recommendations.
In this report from Sifted I share how to build great Tech teams.
I was invited on the AWS “Startup Engineering” podcast to share how to build great AI products by alligning Product, Engineering and Research.
Technology teams can and should drive innovation. This talk focuses on how to drive innovation rom the front seat.
Clojure’s killer design decisions -which language design decisions boosted Clojure adoption
How to scale Technology and Engineering Teams while in startup/scaleup mode