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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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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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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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IoT: Make Mine a Standard

Cloudera

Standards and architectures are the guidelines that ensure the ability for open source software to integrate, exchange and interact. Though the Cloudera Enterprise platform has been based on open source software since 2008 and as a direct result, has seen tremendous innovation; this has not been the case for IoT gateways and integration hubs.

IoT 43
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PODCAST: COVID19 | Redefining Digital Enterprises – Episode 6: The Impact of COVID-19 on Supply Chain Management

bridgei2i

It is even more essential now that supply chains are empowered with a high standard of data and analytics sophistication to be able to cost-effectively serve the company’s purpose and combat risks at the same time. And I’m sure our listeners will benefit from this. Anushruti: Perfect. Love the simile, by the way.

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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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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.