Finance

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Mining Government Gold: Big Data Opportunities in the $68 Billion Unclaimed Property Market

Analytics, Artificial Intelligence, Big Data, Big Data Analytics, big data services, Finance, Fintech, Machine Learning, Predictive Analytics

Market Opportunity Analysis Across the public sector, few data troves are as large and underutilized as unclaimed property records. In aggregate, the United States maintains $68+ billion in dormant assets scattered across 50+ state treasuries, quasi-government offices, and affiliated custodians. The result is a sprawling constellation of searchable ledgers: owner names, last-known addresses, financial institutions,

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Harnessing Big Data to Navigate the Complex World of Home Financing

Artificial Intelligence, Big Data, Big Data Analytics, big data services, big data use cases, Blockchain, Blockchain technology, Finance, Fintech, Internet of things, Machine Learning, Predictive Analytics, Real-Time Analytics

In today’s fast-paced digital era, big data analytics is revolutionizing industries far beyond tech and marketing. One area where its impact is increasingly felt is in the realm of personal finance, particularly when it comes to securing a home. The process of obtaining financing for a property has traditionally been fraught with complexity, uncertainty, and

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How AI Is Changing Finance—and How to Build an App That Keeps Up

Artificial Intelligence, chatbots, ChatGPT, cloud databases, Cyber Security, Database, Finance, Fintech, Generative AI, Internet of things, Machine Learning

From manufacturing and agriculture to healthcare and education, artificial intelligence is changing how industries operate. It forecasts earthquakes, detects diseases, prevents cyberattacks, and enables real-time translation across hundreds of languages. But finance stands out as an industry especially ready for transformation.  Finance is all about numbers and patterns—things that AI is extremely good at. Artificial

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Improving the workplace of the future

Artificial Intelligence, Business and management, Economics, Finance, Graduate, postdoctoral, Labor and jobs, National Science Foundation (NSF), Profile, School of Humanities Arts and Social Sciences, Statistics, Students, Technology and society, Undergraduate Research Opportunities Program (UROP)

Whitney Zhang ’21 believes in the importance of valuing workers regardless of where they fit into an organizational chart.Zhang is a PhD student in MIT’s Department of Economics studying labor economics. She explores how the technological and managerial decisions companies make affect workers across the pay spectrum. “I’ve been interested in economics, economic impacts, and related social

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