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What is FinOps? How to keep cloud spend in check

Dynatrace

FinOps is a cloud financial management philosophy and practice that strives to control the cost of cloud adoption strategies without restricting the scope of cloud resources. FinOps helps engineering, development, finance, and business teams meet critical key performance indicators (KPIs) and fulfill service-level agreements.

Cloud 188
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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.

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A Day in the Life of an Experimentation and Causal Inference Scientist @ Netflix

The Netflix TechBlog

Together with data analytics and data engineering, we comprise the larger, centralized Data Science and Engineering group. Our experimentation and causal inference focused data scientists help shape business decisions, product innovations, and engineering improvements across our service. Gwyn Bleikamp (Payments) [Gwyn B.]:

Analytics 207
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Intelligent, context-aware AI analytics for all your custom metrics

Dynatrace

Choose your monitoring strategy (i.e., Our latest innovation for detecting anomalies in metrics, topology-aware Davis-AI auto-adaptive baselining, is unique in that it adapts to changing metric behavior over time, thereby helping you to avoid false-positive alerts. This is exactly what Dynatrace now delivers.

Metrics 243
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How companies can become magnets for digital talent

All Things Distributed

And these talents are by no means coveted only by companies that always had a digital business model to begin with; suppliers to the automotive industry, financial services companies, and retailers also, urgently need product managers, and technical staff who can quickly make their organizations digitally attractive to their customers.

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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. We describe the problems one by one in separate sections.

Retail 152
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Conserve or Invest?

The Agile Manager

Regardless how bad it gets, there is a candle of hope perpetually burning in the expectation is that free human societies are resilient and will respond and innovate in the face of challenge and will ultimately be more productive and more effective on the other side. Is the investment opportunity dependent on full-stack engineers?