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@example.com | 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 ▶ 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 [More]
Fintech Trends 2022 | Top 9 Finance Tech Trends for the new year! Fintech is a rapidly evolving development with the potential to disrupt many more parts of the financial sector. The growth of financial technology companies in recent years has been mind-blowing. In the world of banking, fintech is on everyone’s lips. It has revolutionized several industries in the financial sector, from payments to consultancy services. And not to mention the hybrids that have stemmed from it, such as Regtech and Insurtech. So, to help you stay on top of all the latest trends propelling the fintech revolution, we have compiled a list of the top 9 trends we think Fintech will see going into the new year! 0:00 Intro 0:35 The Rise of “Digital-Only” Banking 1:40 The Evolution of Blockchain 2:52 The Rise of Artificial Intelligence 3:41 The Rise of SMART Contracts 4:24 “Platform as a Service” PaaS 5:12 Fintech Payroll 5:38 Buy-Now-Pay Later going Mainstream 6:11 Intensifying Fintech Regulations 6:53 From Competitors to Collaborators Did we miss anything? Let us know what trends you think we will see in the comments below! If you enjoyed the video please be sure to hit that LIKE and SUBSCRIBE button 🙂 #Fintech, #Trends2022, #Fintechtrends
Full Event ► https://goo.gl/LvnmwY Artificial Intelligence (AI) has experienced hype cycles over the last half a century with resulting winters of disillusionment. However, several things have changed, including the cost of computing has declined dramatically and the power of computing has improved exponentially, making AI applications, more practical. The explosion of data is so vast and overwhelming that it has become impossible to understand it without automated support. AI appears to be entering a new phase where interest is surging again, particularly in finance. This panel will bring together key actors to debate whether the latest surge of AI applications will fall short again or will they this time truly transform the financial services industry? Moderator: Garrett Nenner, Lead Project Manager / Business Analyst – E-Trading, Cash & Trading Technologies – Gravitas Technologies Speakers: Rahul Jaising, Director, Head of Quantitative Prime Services, Americas, Barclays Capital Gordon Ritter, Senior Portfolio Manager, GSA Capital Stuart Farr, President, Deltix Session recorded June 16 2016 at the RavenPack 4th Annual Research Conference, titled “Reshaping Finance with Alternative Data”. Watch all sessions: ► https://goo.gl/3ij1Ev Visit us at ►https://www.ravenpack.com/ Follow RavenPack on Twitter ► https://twitter.com/RavenPack
This is the new model of agile operations empowered by the latest AI technology to deliver positive revenue growth and increased profitability.
I’ve built an app called Artificial Advisor that helps you manage your personal finances. After connecting to your bank account, it automatically categorizes your transactions and helps you allocate a monthly budget. You can ask the app questions about your budget and it will also make automated investment decisions for you in several stocks in the industry of your choosing. In this lecture, i’ll explain the code and thought process I used to build it so that you can build your own finance startup. I used Tensorflow + Firebase + Plaid + Dialogflow + Alpaca to build this. Enjoy! Code for this video: https://github.com/llSourcell/Watch-Me-Build-a-Finance-Startup Please Subscribe! And like. And comment. That’s what keeps me going. Want more education? Connect with me here: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology instagram: https://www.instagram.com/sirajraval I also have an ongoing challenge for any Wizard brave enough to start their own startup. See details + rewards here: https://github.com/llSourcell/Build-an-AI-Startup-with-PyTorch Make Money with Tensorflow 2.0: https://youtu.be/WS9Nckd2kq0 How to Make Money with Tensorflow: https://www.youtube.com/watch?v=HhqhF… 7 Ways to Make Money with Machine Learning: https://www.youtube.com/watch?v=mrRfp… Watch me Build an AI Startup: https://www.youtube.com/watch?v=NzmoP… Intro to Tensorflow: https://www.youtube.com/watch?v=2FmcH… Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ Hit the Join button above to sign up to become a member of my channel for access to exclusive live streams! Join us at the School of AI: https://theschool.ai/ Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w And please support me on Patreon: https://www.patreon.com/user?u=3191693
Video recap conference about Artificial Intelligence for accountants in business in the Netherlands: Deep Finance What does deep learning and artificial intelligence mean for accountants in business? How much of the ‘human element’ will still be incorporated in the figures? Are we headed for a future of ‘self-driving financials’? The accountants in business member group of the NBA (The Royal Netherlands Institute of Chartered Accountants) share the findings of the annual conference. More than 500 financials in the Netherlands attended the Deep finance congress: the next step in financial intelligence. The video recap (with English subtitles) takes the form of a mini documentary, revealing the most important insights gained. Various speakers feature in the video such as Marcel Smits, CFO of agri-business Cargill, and Gerard van Olphen, Chairman of the Executive Board of APG Group. APG manages the pensions of 4.5 million clients, amounting to 370 billion euros of invested assets. They are both accountants in business and illustrate how big data and self-learning systems are used in their organisation. Critical thinking Is data self-evident? Christien Brinkgreve, professor of social and behavioural sciences, published the book ‘Weten vraagt meer dan meten’ (There’s more to knowledge than numbers). This work reveals the dangers of thinking we can just mindlessly allow ourselves to be at the mercy of data. Her fundamental argument is that we should not blindly trust data but keep thinking critically and continue to pay attention to what we see and hear. What does the future hold for accountants [More]
Can AI be used in the financial sector? Of course! In fact, finance was one of the pioneering industries that started using AI in the early 80s for market prediction. Since then, major financial firms and hedge funds have adopted AI technologies for everything from portfolio optimization, to credit lending, to stock betting. In this video, we’ll go over all the different ways AI can be used in applied finance, then build a stock price prediction algorithm in python using Keras and Tensorflow. Code for this video: https://github.com/llSourcell/AI_in_Finance Please Subscribe! And like. And comment. That’s what keeps me going. Want more education? Connect with me here: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology instagram: https://www.instagram.com/sirajraval More learning resources: https://hackernoon.com/unsupervised-machine-learning-for-fun-profit-with-basket-clusters-17a1161e7aa1 https://www.datacamp.com/community/tutorials/finance-python-trading http://www.cuelogic.com/blog/python-in-finance-analytics-artificial-intelligence/ https://www.udacity.com/course/machine-learning-for-trading–ud501 https://www.oreilly.com/learning/algorithmic-trading-in-less-than-100-lines-of-python-code Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ Sign up for the next course at The School of AI: https://www.theschool.ai And please support me on Patreon: https://www.patreon.com/user?u=3191693 Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w Hit the Join button above to sign up to become a member of my channel for access to exclusive content!