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Download "MIND-BLOWING USES OF AI IN FINANCE"

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machine learning
artificial intelligence
ai
finance
financial services
data
deep learning
data science
fintech
data scientist
ai use cases in banking
ai use cases
ai use in business
ai applications
ai applications examples
ai applications in everyday life
AI APPLICATIONS IN FINANCE
AI USE CASES IN FINANCE
ai uses
ai application in fintech
ai fintech
machine learning application in finance
ai use in fintech
ai in banking
ai technology
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We are talking about Artificial Intelligence applications in finance. Let's review the current list of trends and what to expect from the industry. ▶ Contact Jelvix: [email protected] | jelvix.com We are a technology consulting and software development company eager to share our knowledge and experience. Subscribe for more tech tips and tutorials: https://www.youtube.com/channel/UCEDr9FfkfzsT-hJOQsyKyvg?sub_confirmation=1 ▶ USEFUL LINKS: - Machine Learning vs. Deep Learning vs. Artificial Intelligence - https://jelvix.com/blog/ai-vs-machine-learning-vs-deep-learning - Application of AI in Finance - https://jelvix.com/blog/ai-in-finance ▶ TIME CODES: ▶ Follow us: Facebook - https://www.facebook.com/JelvixCompany Twitter - https://twitter.com/jelvix Instagram - https://www.instagram.com/jelvix Linkedin - https://www.linkedin.com/company/jelvix Upwork - https://www.upwork.com/ag/jelvix/ ▶ About this video: How is AI applied in finance? 1. Automation It enables organizations to boost productivity and cut operational costs. Statistics say that AI helps companies save up to 70% of the costs associated with repetitive tasks. 2. Credit Decisions We once developed AI-based software that helps banks assess potential borrowers. It immediately analyzes countless factors thus saving costs and making the process much faster. Sounds exciting, doesn’t it? 3. Trading AI-driven trading systems can analyze massive amounts of data much quicker. You won’t believe it, but predictions made by AI algorithms are more accurate because they can analyze a lot of historical data. 4. Risk Management AI can handle risk management tasks much more efficiently and analyze various financial activities in real-time. 5. Fraud Prevention AI-driven fraud detection tools can analyze clients’ behavior, track their locations, and determine their purchasing habits. Therefore, they can quickly detect any unusual activities. 6. Personalized Banking AI-powered chatbots minimize the workload of the call centers. There are also many apps that offer personalized financial advice so that users can achieve their financial goals, track regular expenses, income, and purchasing habits.

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