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AI Data, Traditional Trading, and Modern Investments

Smart Data Collective

Does implementing AI & AI data into the modern trading world actually provide any benefits? By analyzing, identifying, and predicting these trends, analysts are able to help their clients minimize risk while enjoying large returns. Fortunately, the first robo-advisors were created in 2008.

Finance 138
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Structural Evolutions in Data

O'Reilly on Data

” Each step has been a twist on “what if we could write code to interact with a tamper-resistant ledger in real-time?” Hadoop’s value—being able to crunch large datasets—often paled in comparison to its costs. “Here’s our risk model. The elephant was unstoppable. Until it wasn’t.

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Combine transactional, streaming, and third-party data on Amazon Redshift for financial services

AWS Big Data

The following are some of the key business use cases that highlight this need: Trade reporting – Since the global financial crisis of 2007–2008, regulators have increased their demands and scrutiny on regulatory reporting. The solution should be scalable, cost-efficient, and straightforward to adopt and operate.

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Reclaiming the stories that algorithms tell

O'Reilly on Data

So the state calculates and publishes a “Risk Adjusted Mortality Ratio”—a comparison between the actual number of observed deaths and the number that would be statistically expected, on average, for patients medically similar to those each doctor actually operated on. Credit scores.

Risk 355
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Emerging Trends: 4 IRM Market Insights to Aid COVID-19 Business Recovery

John Wheeler

Integrated risk management (IRM) technology is uniquely suited to address the myriad of risks arising from the current crisis and future COVID-19 recovery. Re-starting business operations will require risk visibility not only across the organization but vertically down through the organization as well. Key Findings.

Marketing 110
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96 Percent of Businesses Can’t Be Wrong: How Hybrid Cloud Came to Dominate the Data Sector

Cloudera

This archaic version of our internet was the first time (mainframe) computers interacted with each other. In 2008, Cloudera was born. As cloud offerings grew, so did the demand for higher agility, speed, and cost efficiency. Just like the Internet, the cloud computing concept was born when the U.S. Modern Day and the Future.

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Ontotext Expands To Help More Enterprises Turn Their Data into Competitive Advantage

Ontotext

In 2008, we received a small round of funding and focused on bringing this technology to the market. GraphDB 10 brings smarter and simpler cluster architecture enabling, among other benefits, best in class resilience and reduced infrastructure costs. His secondary objective was to ensure the U.S.