The global banking & payments industry experienced a 6% drop in company filings mentions of artificial intelligence in Q4 2023 compared with the previous quarter, with the highest share accounted for by S&P Global with 550% year-on-year increase, according to GlobalData’s analysis of over 294 banking & payments company filings. GlobalData’s Banking & Payments: Filings Trends & Signals Q4 2023 report delves into earnings call transcripts and quarterly reports within the industry, extracting trends, signals, and comparative data to help businesses assess their performance, identify competitive intelligence, evaluate risks, and gain a comprehensive understanding of key industry events. Buy the report here.
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Notably, artificial intelligence was one of the most frequently referenced themes in Q4 2023, ranking highest in terms of mentions, ahead of sharing economy and robotics, according to GlobalData.
Of the top leading companies in the banking & payments industry, S&P Global had the greatest increase in references for artificial intelligence in Q4 2023, compared with the previous quarter. GlobalData identified 26 artificial intelligence-related sentences in the company's filings - 2% of all sentences - and an increase of 550% in Q4 2023 compared with Q4 2022. Intesa Sanpaolo’s mentions of artificial intelligence rose by 600% to 14 and Visa’s by 550% to 13 and Scottish Mortgage Investment Trust’s by 9% to 12 and Banco Bradesco’s by 33% to 8.
GlobalData’s Company Filings Analytics also applies sentiment weight to reference sentences, based on whether the sentences are positive, negative, or neutral. Starting at 100 in 2020, an index over 100 is more positive. The overall index for artificial intelligence in Q4 2023 was 89.
For further understanding of GlobalData's Banking & Payments: Filings Trends & Signals Q4 2023, buy the report here.
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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
GlobalData’s Company Filings Analytics uses machine learning to uncover key insights and track sentiment across millions of regulatory filings and other corporate disclosures for thousands of companies across the world’s largest industries.
