https://app.read.ai/analytics/meetings/01J3C9CA0XE27TPVRAA2J8N44B
The meeting began with introductions and excitement for the day. Troy Sadkowsky introduced the KTC method and its online version, OKTCs, which will be used to gather insights from over 1,000 members of the Data Scientist Group. Guiding questions were introduced, focusing on members’ backgrounds, networking goals, expertise, and learning needs. The importance of staying up to date in the industry, data quality, and data management was discussed.
The challenges of staying abreast of new trends in data science and AI were discussed, emphasizing the evolving nature of interactions with AI and the impact of dirty data on results. The importance of keeping up with the latest technologies in this rapidly evolving field was highlighted. Karthik Manchala discussed his experience as a software developer in R&D, focusing on big data technologies, open source projects, and blockchain.
Jampel Namdag Dorji discussed his programming journey, interest in AI tools, and his goal to work on a Zonkha NLP project. Neelam Darjee shared her interest in financial trading and the potential for AI to assist in automated trading and risk assessment.
The meeting concluded with a conversation about networking and future plans for OKTC meetings, emphasizing the use of AI for transcribing and analyzing key issues. The intention to establish a branching system for multiple OKTCs and the importance of meaningful relationships and knowledge sharing within the community were stressed. Plans to send a summary of the meeting to all participants and the eventual production of a comprehensive report were also mentioned.