I had an intern (Nikita A ) experiment with this idea: Take a useful data point from a recent news item around India's decarbonization and Net Zero journey (Eg: πππ¦π’π―π΅π¦π€π© π΄π°ππ’π³ π΄πΆπ±π±ππͺπ¦π΄ 167 ππ π΄π°ππ’π³-πΈπͺπ―π₯ π©πΊπ£π³πͺπ₯ π±π°πΈπ¦π³ π΅π° ππͺπ³π΄π΅ ππ°ππ’π³'π΄ π΄π°ππ’π³ π€π¦ππ π±ππ’π―π΅), set an LLM on it to get related insights relevant to senior and top management.
Essentially, leverage pieces of decarbonization data to arrive at more intelligence.
How well did this experiment go?
We present the first set of results from it - for about 10 news items.
In the link for Data Matters (provided at the end), you will see the main data from a news item on top, and the rest are all derived from GenAI, with human (my) curation at the very end.
Do review the ππππ ππππππ«π¬ section and let me know if this is useful, and our good intern will strive to get this for many more.
I found it quite valuable for a prototype.
ππππ ππ‘π ππ’π«π¬π π¬ππ π¨π ππππ ππππππ«π¬ ππ«π¨π¦ π‘ππ«π - https://lnkd.in/gqsVHmhf
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See all my decarbonization posts from πππ πππ«π¨ π°π’ππ‘ πππ«π¬π’ - https://lnkd.in/g84YZXWt