TY  - JOUR
A1  - Heijden, Tomas van der
T1  - A synergistic alliance – will generative AI help tackle the ESG data problem?
T2  - Efl insights : an elf - the Data Science Institute publication
N2  - In a year marked by challenging market dynamics, the importance of ESG investments remains unwavering. But the wave of ESG regulations and requests generates a demand for more scalable ways to collect and analyze ESG data. The rise of AI could mark a turning point in an industry heavily burdened by reporting requirements, and unlock the true potential of ESG for businesses and investors alike.
Y1  - 2024
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/80805
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-808054
SN  - 1866-1238
SN  - 2700-2241
VL  - 2024
IS  - 1
SP  - 9
EP  - 9
PB  - E-Finance Lab e.V.
CY  - Frankfurt am Main
ER  -