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Three Emerging Analytics Products Derived from Value-driven Data Innovation and Insights Discovery in the Enterprise

Rocket-Powered Data Science

Another example of a sentinel is a marked increase in the volatility of stock market prices, indicating that there may be a lot of FUD (fear, uncertainty, and doubt) in the market that could lead to wild swings or downturns. In either case, keeping an eye on the situation is critical for the success of the operation.

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The trinity of errors in financial models: An introductory analysis using TensorFlow Probability

O'Reilly on Data

At Hedged Capital , an AI-first financial trading and advisory firm, we use probabilistic models to trade the financial markets. By contrast, market participants have trouble explaining the causes of daily market movements or predicting the price of a stock at any time, anywhere in the world. Finance is not physics.

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Where Web 3.0 is taking the software industry

CIO Business Intelligence

At its heart, the idea is a purely technical one, beguiling in its counterintuitiveness: by broadcasting information, it becomes more secure. It’s a moving target, but the market cap of the crypto currency enabled by blockchain technology is hovering around $2 trillion. Beyond that basic fact, there is much uncertainty. .

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Misleading Statistics Examples – Discover The Potential For Misuse of Statistics & Data In The Digital Age

datapine

With the rise of advanced technology and globalized operations, statistical analyses grant businesses an insight into solving the extreme uncertainties of the market. Statistical studies can also assist in the marketing of goods or services, and in understanding each target market’s unique value drivers.

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CDW to Acquire Sirius Computer Solutions for $2.5 billion

CDW Research Hub

We have long admired CDW and welcome the opportunity to bring our complementary services and solutions capabilities to serve a broader market of customers as a combined company. All forward-looking statements are subject to risks and uncertainties that may cause actual results or events to differ materially from those that we expected.