ShapanM33HH
Do³±czy³: 02 Gru 2023
Posty: 1
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Definitely a step forward in making it a competitive product on the market, but with balance. [AML]-quote-quotes-1Talking and "thinking" about products means focusing on problems and solutions. Making a product means creating value for the end user. [AML] - Cutting blog quote images (3) Artificial intelligence has made an unprecedented level of personalization possible, an certainly important benefit in an area such as product management. What developments are you noticing in AI that have had the greatest impact on 360° product management? Gabriele.
Some AI solutions allow you to make predictions based on data in a more advanced form, which would obviously be impossible to have without applying Machine Learning algorithms. This seems to Web Development Services me to be one of the most useful features for product management, the possibility of being able to carry out predictive analysis in a new form. Furthermore, from a strategic point of view, some features introduced by the various tools (we were talking about Miro before) allow us to suggest strategies and connections to Product Managers to structure the various OKRs or decision trees in general, and give a starting point to work on.
I don't know how to evaluate the effectiveness of these features yet, as they are actually in beta, but the path they open up is interesting. Companies dealing with digital products must comply with increasingly precise regulations and regulations, such as the General Data Protection Regulation (GDPR), the Data Protection Impact Assessment (DPIA) or the Data Protection Impact Assessment (DPIA). What are the main difficulties related to this change? Gabriele : These are regulations where there is always very limited clarity on the part of the technicians who have to apply them, and of the stakeholders in general. General parameters to be respected are defined but, rightly, no detail is given.
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