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How Nasdaq is using data and machine learning to raise the bar on financial services

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Demand for instant access to financial data from investors and traders around the world has shaken up the financial services industry, and Nasdaq, a pioneer in digitizing the trading process, continues to innovate for customers seeking mobile-first, real-time, mission-critical analytics. Its approach involves embracing the cloud, data and analytics, and an API-first mindset. The global exchange operator, which encourages greater market participation and innovation as vital to the health of the global economy, was one of the early innovators in providing its clients with a wide variety of financial data and analytics. In 2008, Nasdaq partnered with AWS to provide different Nasdaq programs and data access via the cloud, first with Nasdaq Market Replay, followed by Data-on-Demand. Over the years, the company has delivered additional data services through the cloud, including last year's NextGen Solutions package and Nasdaq Cloud Data Service, further extending its reach as a provider of technology and analytics services.


How Blockchain and AI Can Help Robotics Technologies

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Explaining AI decisions: AI-based solutions often cannot explain the rationale behind reaching a decision or taking a course of action. A blockchain database that holds the data records can help explain the build-up of the rationale. Enhancing AI efficiency: By securing the shared data streaming, blockchain can help shape more efficient data models, data-centric actions, and data-driven insights. A data marketplace for all: The decentralized database system that holds together multifaceted data from all sources in a transparent, easily accessible, and secure manner can make way for a data marketplace that can be accessed by everyone, including smaller businesses. The increasing volume of data from AI-powered systems with this democratization of the database will give more data power to organizations and individuals.