Thank you for the invitation, it’s been a long time since I last was here. Coincidentally I’m currently working on AI/ML related project and have been trying to learn more on the subject of Data Science as well. Here are some contributions:
1) “How prevalent is data science in your local ecosystem?” - our project is in education, trying to improve all aspects of the E-learning process through ML. Doing a research of the current landscape doesn’t show many results. Coursera seems to be more active with some efforts in the website (recommendations, search results) and mail marketing, but that’s about where things end from what I have seen.
2) “Is the “iterate till it works” process the norm in AI?” - I am no AI-expert but I think that an iteration-validation cycle is basic part of any software development with or without AI/ML. Unless you meant something different here. ML definitely includes validation of the model’s output as a crucial step.
3) “What’s your experience in using data science/data analysis in marketing? “ - I haven’t had the chance to do something in terms of marketing use. As noted above, Coursera seems to be making some effort, periodically sending out updates about new courses based on previous participation in a course.
4) “What are the new tools worth considering over the established ones?” - as always with software development, the choice of tools depend on the project requirements. I don’t think one should choose sides. What I find interesting is that we have 4 major companies (Amazon, Microsoft, Google, IBM) with a quite developed portfolio of AI/ML/DS cloud-based tools. In large part these can be swapped around or combined. It’s also very positive to see these companies trying to fill the education gap. Mostly IBM and Amazon are offering free/low-cost online courses that can help more people get into DS and AI.
I hope these comments help in any way :)
Thank you for reading!