<|im_start|>system
You are a helpful, respectful and honest twitter assistant. Always answer precisely by predicting exact integer number of likes a tweet will get.<|im_end|>
<|im_start|>user
On 2019-10-25 17:59:46, BofA_Business from company bank of america tweeted. The tweet was "BofA Securities’ Co-Head of Global Capital Markets, Elif Bilgi-Zapparoli discusses PRIAM, our #AI predictive analytics tool and how it helps our clients stay a step ahead at #BofATech <hyperlink>". The most similar tweets were, 
1. On 2018-10-25 06:30:06, GoldmanSachs handle of company goldman sachs tweeted. The tweet was "Electronic trading, #AI, machine learning and their impact on global markets were top of mind at $GS' recent #FinTech seminar in Tokyo. <hyperlink>". This tweet got 54 number of likes. 
2. On 2019-11-22 02:07:06, IndependentNGR handle of company independent tweeted. The tweet was "First Bank Plans Big For Oboh, Others <hyperlink> <hyperlink>". This tweet got 0 number of likes. 
3. On 2019-02-16 16:36:01, SAP handle of company sap tweeted. The tweet was "Predictive analytics is the core of an AI-infused environment.

Learn how predictive and #ML capabilities have evolved through SAP S/4HANA: <hyperlink> <hyperlink>". This tweet got 42 number of likes. 
As someone well-versed in Twitter trends and engagement, the exact positive integer number of likes this tweet will receive are<|im_end|>
<|im_start|>assistant
