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Why is XAI at core for the success of 'AI' in Financial Institutions? And what is Arya-xAI?

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It is imperative for next generation applications to have AI at the core. With almost all major tech players offering AI enabled solutions, we see it as a default feature in any upcoming software products. Many financial institutions have already started their innovation programs by automating existing rule sets with machine learning models to automate/augment existing processes. These models can make automated decisions across vast quantities of data. Even then, organizations are somewhat apprehensive in deploying these systems into the core process, since AI solutions carry a, probably justified, reputation for being'black boxes' characterized by poor transparency.


Meet The Fintech Innovators Using AI To Reimagine The Financial Sector

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The world of finance, as we know it, is changing. From new currencies to new possibilities in trade, innovation has been unlocked with a single key: artificial intelligence. Almost all new approaches to managing money have AI in their DNA. Globally, the AI financial technology (fintech) market is forecast to reach $22.6 billion by the year 2025. AI is key to fundamentally changing the way people interact with and use money.


The Importance Of Artificial Intelligence In Financial Services - AI Summary

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Traditional banking is a synonym for inconvenience and has been unable to satisfy the needs of many customers. The evolution of artificial intelligence in financial services has caused a technological revolution in the banking sector. To know read this blog.


g-f(2)227 The Big Picture of Business Artificial Intelligence (4/17/2021), IEEE Spectrum, 15 Graphs You Need to See to Understand AI in 2021.

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The massive document, produced by the Stanford Institute for Human-Centered Artificial Intelligence, is packed full of data and graphs, and we've plucked out 15 that provide a snapshot of the current state of AI. AI research is booming: More than 120,000 peer-reviewed AI papers were published in 2019. The money continues to pour in. Global corporate investment in AI soared to nearly $68 billion in 2020, an increase of 40 percent over the year before. Corporations are steadily increasing their adoption of AI tools in such industries as telecom, financial services, and automotive.


Supporting Responsible Use of AI and Equitable Outcomes in Financial Services

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At the AI Academic Symposium hosted by the Board of Governors of the Federal Reserve System, Washington, D.C. (Virtual Event) Today's symposium on the use of artificial intelligence (AI) in financial services is part of the Federal Reserve's broader effort to understand AI's application to financial services, assess methods for managing risks arising from this technology, and determine where banking regulators can support responsible use of AI and equitable outcomes by improving supervisory clarity.1 The potential scope of AI applications is wide ranging. For instance, researchers are turning to AI to help analyze climate change, one of the central challenges of our time. With nonlinearities and tipping points, climate change is highly complex, and quantification for risk assessments requires the analysis of vast amounts of data, a task for which the AI field of machine learning is particularly well-suited.2 The journal Nature recently reported the development of an AI network which could "vastly accelerate efforts to understand the building blocks of cells and enable quicker and more advanced drug discovery" by accurately predicting a protein's 3-D shape from its amino acid sequence.3 In November 2018, I shared some early observations on the use of AI in financial services.4


The Growing Impact of AI in Financial Services: Six Examples

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Personalized Banking: AI based solutions are one of the best when it comes to providing a personalized experience. Financial institutions can use AI based chatbots to offer timely help to their customers while minimizing the workload of their customer representatives. They can also adopt various voice-controlled virtual assistants for the personalized experience. These solutions are self-learning in nature i.e they identify patterns and learn on their own so they become more effective with time. There are a lot of solutions that offer personalized financial advice to their users.


JPMorgan's guide to quantum machine learning in finance

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We suggested in January that it might be a good idea to familiarize yourself with quantum computing if you want to maximize your future employability in financial services. A new academic paper from JPMorgan's Future Lab for Applied Research and Engineering helps explain why. Authored by Marco Pistoia, JPMorgan's head of quantum technology and head of research, plus members of his team, the paper stresses that quantum computing will impact financial services sooner than you think. Goldman Sachs and JPMorgan have both been building teams of quantum researchers and Goldman has already used quantum methods to speed up derivatives pricing by over a thousand times. The finance industry stands to benefit from quantum computing "even in the short term," says JPMorgan.


Profitable Investment: Top Artificial Intelligence Stocks to Buy in October 2021

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Artificial intelligence is showing its inevitable functions through AI models in multiple industries across the world in these recent years. Tech companies are highly instigated to leverage artificial intelligence to gain a competitive edge in the market with enhanced customer satisfaction and better customer engagement while manufacturing AI models. Investors tend to be in a risky position in the cryptocurrency market due to its volatility with the cryptocurrency prices. But artificial intelligence stocks provide stability to gain higher revenue in the nearby tech-driven future. Thus, let's explore some of the top AI stocks in October to provide growth in revenue to investors.


Top Startups in Toronto

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Toronto is Canada's largest city and also a continental technology hub. It is home to a few of the top start-ups in Canada as well as North America. The capital city of Ontario is also an international business center with a thriving start-up ecosystem. NexTech AR Solutions, one of the top start-up businesses in Toronto, develops Augmented Reality advertising platforms that engage customers by connecting them with brands and their retail locations. The tech company pursues operations in four verticals -- Virtual Conference Platform, 3D/AR Advertising Platform, SaaS Platform for eCommerce, and ARitize Hollywood Studios.


How Using Artificial Intelligence Empowers Financial Services - Honk News

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Financial institutions all around the globe are under tremendous pressure to enhance efficiency, cut expenses, and increase output while technology continues to develop at a fast rate. The financial-services sector, in particular, is in urgent need of a complete transformation away from conventional, age-old business structures on a worldwide scale right now. To respond to this need, automation has come to account for a significant portion of that development, with robotic process automation (RPA) in particular poised to play a key role in job execution inside financial institutions over the next several years. This kind of automation is often referred to as "smart automation" or "intelligent automation," and it refers to any software system that can be designed to execute activities that previously needed the input of human intellect in order to be effective in their completion. Artificial intelligence has the potential to revolutionize the financial services industry and the way services are provided to consumers.