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I’m disappointed to see the rise of generativeAI tools that are designed to replace discovery with real humans. I’m a big fan of generativeAI. Tweet This So I want to take some time to review why we do discovery. I also want to note that the world of generativeAI is moving quickly.
Artificial Intelligence (AI) has greatly evolved in many areas, including speech and picture recognition, autonomous driving, and natural language processing. However, generativeAI, a relatively new area, has become a game-changer in data generation and content creation.
Artificial Intelligence (AI), and particularly Large Language Models (LLMs), have significantly transformed the search engine as we’ve known it. With GenerativeAI and LLMs, new avenues for improving operational efficiency and user satisfaction are emerging every day.
For a moment, Ill dedicate this section to OpenAIs ChatGPT since it popularised the idea of GenerativeAI chatbots and has become a generic brand name for AI tomany. Evolving reactions to ChatGPT (Source: HFS Research) I wear two hats: one as a casual user/developer/entrepreneur and the other as an AI academic.
I think about the team of data scientists working on the algorithms that keep my 6 year old daughter returning to her favorite mobile game, preventing the churn, increasing the retention, the ad views and ARPU, and I wonder what chance they have with the system weve built for them to grow upin? When I was 15, I wanted to be anauthor.
Market-defining shifts rarely show up in sprint reviews. in 2005, which while originally pitched as creating to create an operating system for digital cameras was, by then, focused on making an open-source OS for phones. Pairing with GenerativeAI can aid backcasting by helping product teams think more boldly and plan more effectively.
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