The ability to automate processes and tasks opens up a plethora of new opportunities for organizations.
New technology, understandably, drives uncertainty, but a developer’s job is not going to disappear—rather, it will change and evolve. We need to look at these new tools with a dose of optimism. While they help the code base become more consistent and easier to understand, engineers will be able to produce faster and dedicate their time to work that is more intellectually stimulating.
Gone are the days where the ML/DS teams live in their own isolated environment and provide insights for specific features when requested to do so by the very few that understood well the power of this discipline. These teams used to be aligned with infrastructure or data teams. Now, ML/DS teams can become core enablers for all engineering squads and as such are reorganized into the core engineering functions.
The rate of innovation is accelerating, which drives the need for more agile ways of structuring the product road map. Do we still need a one-year solidified product road map view or should we keep this process more agile and flexible?
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