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Top 7 Data Science Use Cases in Finance – ActiveWizards: machine learning company – Medium

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In recent years, the ability of data science and machine learning to cope with a number of principal financial tasks has become an especially important point at issue. Companies want to know more what improvements the technologies bring and how they can reshape their business strategies. To help you answer these questions, we have prepared a list of data science use cases that have the highest impact on the finance sector. They cover very diverse business aspects from data management to trading strategies, but the common thing for them is the huge prospects to enhance financial solutions. Risk management is an enormously important area for financial institutions, responsible for company's security, trustworthiness, and strategic decisions.


Top 7 Data Science Use Cases in Finance

@machinelearnbot

In recent years, the ability of data science and machine learning to cope with a number of principal financial tasks has become an especially important point at issue. Companies want to know more what improvements the technologies bring and how they can reshape their business strategies. To help you answer these questions, we have prepared a list of data science use cases that have the highest impact on the finance sector. They cover very diverse business aspects from data management to trading strategies, but the common thing for them is the huge prospects to enhance financial solutions. Risk management is an enormously important area for financial institutions, responsible for company's security, trustworthiness, and strategic decisions.


AI in Wealth Management: 10 Companies to Watch - DisruptorDaily

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Founded in 2010, Quovo is located in New York and has received $15.2 million after three rounds of funding. The company provides account aggregation and data analytics for financial accounts. The Smart Account Aggregation puts all financial accounts into one simple to read dashboard while reconciling, transforming, and normalizing data. The Portfolio Analytics is designed for investments so people can see statistics over any period for any of their portfolios. The technology can be used by entrepreneurs, advisors, and financial institutions.


Stock Forecast Based On a Predictive Algorithm I Know First How Can We Predict The Financial Markets By Using Algorithms? University Lecture By Dr. Lipa Roitman

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I Know First-Daily Market Forecast, does not provide personal investment or financial advice to individuals, or act as personal financial, legal, or institutional investment advisors, or individually advocate the purchase or sale of any security or investment or the use of any particular financial strategy. All investing, stock forecasts and investment strategies include the risk of loss for some or even all of your capital. Before pursuing any financial strategies discussed on this website, you should always consult with a licensed financial advisor.


What to expect from the brave new world of artificial intelligence and fintech - Technical.ly DC

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Neither artificial intelligence nor fintech – or even the union of the two – is really anything new, despite the recent buzz regarding all of the above. With that being said, we are indeed approaching that point where the underlying technology begins to make a noticeable difference in people's lives. From there, it won't be long before we begin to wonder how we ever lived without artificially intelligent financial advisors implementing our own personal monetary policy. Well, did you know that digital camera technology has been around since the 1970s but simply wasn't good enough to get mainstream traction until decades later? Don't worry, Kodak didn't see it coming, either.