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Enhancing Azure data analytics and Azure observability with Dynatrace Grail

Dynatrace

Dynatrace recently announced the availability of its latest core innovations for customers running the Dynatrace® platform on Microsoft Azure, including Grail. Transforming business with Azure data analytics In the evolution towards digital and cloud-native solutions, the ability to efficiently manage vast amounts of data is imperative.

Azure 176
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What is FinOps? How to keep cloud spend in check

Dynatrace

The result is smarter, data-driven solutions designed to manage cloud spend. Today, many global industries implement FinOps, including telecommunications, retail, manufacturing, and energy conservation, as well as most Fortune 50 companies. What is FinOps? This practice isn’t just about reducing costs.

Cloud 192
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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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Pioneering customer-centric pricing models: Decoding ingest-centric vs. answer-centric pricing

Dynatrace

Grail is designed for scalability, with no technical prerequisites or additional hosting and storage costs as ingestion rates increase. retail giant, initially tied to an ingest-centric pricing vendor, found itself manually curbing costs by limiting daily log ingestion to 3 TB and reducing retention periods. A prominent U.S.

Retail 233
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Digital transformation strategies: Success stories from three digital transformation journeys

Dynatrace

Some of the benefits organizations seek from digital transformation journeys include the following: Increased DevOps automation and efficiency. Digital tools and technologies provide a more efficient way of doing things. This keeps teams from falling into old habits and enables them to continually innovate and expand.

Strategy 172
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Institutional Innovation - I Have a Dream

Edge Perspectives

Let me start by clarifying that the transformation I’m focused on isn’t the transformation involved in moving from one business to another (let’s say, moving from being a retailer to becoming a clothing manufacturer). To accelerate learning, companies will need to unbundle.

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To understand the risks posed by AI, follow the money

O'Reilly

Time and again, leading scientists, technologists, and philosophers have made spectacularly terrible guesses about the direction of innovation. We’ll see more innovation if emerging AI tools are accessible to everyone, such that a dispersed ecosystem of new firms, start-ups, and AI tools can arise. But not all rents are bad.