How Square Is Using ArtificialIntelligence and MachineLearning to Improve CashApp

Square acquired this Toronto-based AI technology firm that helps combat deepfake AI cybercrime. Can it also help Square build its next-gen Cash App products?

Today, I continue my top-AI-stocks video series. If you are new to this series, it covers my top 12 artificial intelligence stocks focused on growth and disruptive innovation. I have done my best to find the highest-growth companies in a variety of sectors with disruptive growth trends. Last time, I shared my favorite chatbot stock. In today’s video, I am covering an unknown business that Square (NYSE:SQ) acquired in 2020 that focuses on artificial intelligence and machine learning. Specifically, this company is best known for its solutions to combat deepfake AI, which essentially takes an existing audio or video recording and alters it with another person’s likeness to create a potentially deceptive new recording.

In today’s video, I provide examples of deepfake AI technology and discuss how Square can leverage the acquisition to improve Cash App. The goal is to leverage the latest AI research to develop next-generation Cash App products. I have been long on Square’s stock since 2017, and I am excited about the future of the company. Please watch the below video to find out more about this mystery company, and don’t forget to subscribe so you don’t miss what’s coming next.

*Stock prices used in the below video were during the trading day of Sept. 16, 2021. The video was published on Sept. 16, 2021.

 

 

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Source :

Mots-clés : cybersécurité, sécurité informatique, protection des données, menaces cybernétiques, veille cyber, analyse de vulnérabilités, sécurité des réseaux, cyberattaques, conformité RGPD, NIS2, DORA, PCIDSS, DEVSECOPS, eSANTE, intelligence artificielle, IA en cybersécurité, apprentissage automatique, deep learning, algorithmes de sécurité, détection des anomalies, systèmes intelligents, automatisation de la sécurité, IA pour la prévention des cyberattaques.

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