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Data Mining Problems in Retail

Highly Scalable

Retail is one of the most important business domains for data science and data mining applications because of its prolific data and numerous optimization problems such as optimal prices, discounts, recommendations, and stock levels that can be solved using data analysis methods. However, many of these models are highly parametric (i.e.

Retail 152
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Black Friday traffic exposes gaps in observability strategies

Dynatrace

If the mantra in sales is “Always be closing,” the mantra for online retail storefronts is “Always be online.”. Peak loads can overload and crash retailer websites and derail customer interactions. Customer experience has become paramount for retailers, as visitors demand instant responses — especially during times of high volume.

Traffic 194
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Conducting log analysis with an observability platform and full data context

Dynatrace

With more automated approaches to log monitoring and log analysis, however, organizations can gain visibility into their applications and infrastructure efficiently and with greater precision—even as cloud environments grow. Logs are automatically produced and time-stamped documentation of events relevant to cloud architectures.

Analytics 190
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What is real user monitoring (RUM)?

Dynatrace

Some examples include: Monitoring a retailer’s online catalog to detect any increase in page load times. Analyzing a clinician’s clickstream when using an electronic medical record system to better improve the efficiency of data entry. Technical goals should be able to quantify business goals.

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Creating A Magento PWA: Customizing Themes vs. Coding From Scratch

Smashing Magazine

Some of the names include Amazon’s Luna, TikTok, Tinder, among many online retailers. Cost-Efficient And Effort-Saving Development. Alibaba is one of the e-commerce giants that have “run the gamut” from a regular online retail store to a native application (created for mobile shopping purposes) and then on to a PWA.

Code 74
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AI Powered Misinformation and Manipulation at Scale #GPT-3

O'Reilly

The valuation of crypto today is consequential to financial markets and the net worth of retail and institutional investors. In the first reply, GPT-3 responds to the claim that Bitcoin is bad for the environment by calling the tweet author “a moron” and asserts that Bitcoin is the most efficient way to “transfer value.”

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How Application of Artificial Intelligence is Transforming Business

Testsigma

This technique is based on pattern identification to interpret the content of an image including graphs, tables, and pictures within documents, text and videos. Supply chain management consists of many people, including suppliers, manufacturers, distributors, retailers, and customers. Examples: Machines can evaluate human X-Ray scans.