Remove 2008 Remove Cost-Benefit Remove Reporting Remove Risk
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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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AI Data, Traditional Trading, and Modern Investments

Smart Data Collective

Thanks to the invention of the internet, everything from conducting trades to downloading comprehensive reports can be completed almost instantly. Does implementing AI & AI data into the modern trading world actually provide any benefits? Fortunately, the first robo-advisors were created in 2008.

Finance 138
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Accelerating VMware’s growth

CIO Business Intelligence

Our goal will be to achieve this multi-cloud strategy in a way that is cost-neutral to customers, while allowing them to choose where they want to run applications or workloads. From September 2005 to January 2008, he served as chairman of the board of Integrated Device Technology. To learn more, visit Broadcom.

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How Data Ethics Supports Governance & Monetisation

Alation

I recently led an online session, Data Monetisation and Governance , looking at the evolution of data governance , defining data ethics (from the Turing Institute ), and touching on the balancing act between using data to monetise (by increasing revenue, decreasing spend, or mitigating risk) and meeting ethical obligations. Data Value.

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Coding for the Future of U.S. National Defense

CIO Business Intelligence

VMware Tanzu Labs partners with organizations worldwide to accelerate the delivery of software and modernize legacy apps, while reducing operating costs and risk working side by side with customers to build capabilities, transfer skills and knowledge, and instill a process that shows immediate and lasting impact.

Software 119
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5 Ways Data Analytics Helps Us Understand the Student Lending Crisis

Smart Data Collective

The biggest benefits relate to using big data to understand voters and create models of voting patterns in various districts. Coupled with higher interest rates and the whopping amount of student debt, the rising cost of education is taking a toll on students’ hopes for their financial futures. Amounting to $1.58 However, totaling $1.58

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Valuable Use Cases for Data Lineage in the Insurance Industry

Octopai

The Code of Hammurabi didn’t require insurers to keep extensive records of their calculations and produce reports for external auditors. The regulatory standards of Solvency II and IFRS 17 were direct reactions (along with Basel III, IV, and other numerically-designated innovations) to the pre-2008 financial dropping of the ball by insurers.