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5 hot IT hiring trends — and 5 going cold

CIO Business Intelligence

Because of economic uncertainty, about 40% of CIOs slowed hiring as 2022 wound down, and about 30% experienced hiring freezes. Cold: Poaching high performers Market uncertainties have made recruiting more difficult in surprising ways, says Dru Kirk, vice president of talent acquisition for Marqeta.

IT 131
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Perform time series forecasting using Amazon Redshift ML and Amazon Forecast

AWS Big Data

Many businesses use different software tools to analyze historical data and past patterns to forecast future demand and trends to make more accurate financial, marketing, and operational decisions. Forecasting acts as a planning tool to help enterprises prepare for the uncertainty that can occur in the future.

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What IT executives are saying about vendor consolidation

CIO Business Intelligence

While there is little doubt that companies have been cutting back on expenses generally in response to economic uncertainty, startups in particular have been feeling the pain of contracting budgets and reluctant investors. At this point in time, it needs to be asked whether such a rapid increase in the number of vendors is sustainable.

IT 128
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Data Science, Past & Future

Domino Data Lab

Now, Google is spending what, 10 figures marketing TensorFlow? I went to a meeting at Starbucks with the founder of Alation right before they launched in 2012, drawing on the proverbial back-of-the-napkin. They learned about a lot of process that requires that you get rid of uncertainty. Five years ago, people laughed.

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Fitting Bayesian structural time series with the bsts R package

The Unofficial Google Data Science Blog

This model has stationary distribution $$mu_infty sim Nleft(0, frac{sigma^2_eta}{1 - rho^2}right),$$ which means that uncertainty grows to a finite asymptote, rather than infinity, in the distant future. Figure 7: Daily closing values for the S&P 500 stock market index. Which market indicators best forecast recessions ?

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Estimating causal effects using geo experiments

The Unofficial Google Data Science Blog

Such regions are often referred to as Generalized Market Areas (GMAs) or simply geos. The regions were originally formed based on television viewing behavior of their residents, clustering together “exclusive geographic area of counties in which the home market television stations hold a dominance of total hours viewed.” In the U.S.,

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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.