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Practical advice to optimize savings with cloud migrations

CIO Business Intelligence

As organizations of all stripes continue their migration to the cloud, they are coming face to face with sometimes perplexing cost issues, forcing them to think hard about how best to optimize workloads, what to migrate, and who exactly is responsible for what. leading to poor performance and high cost.

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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. These applications are designed to benefit logistics and shipping companies alike. Did you know?

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Using Data-Driven Lean Thinking to Optimize Business Processes

Smart Data Collective

A growing number of businesses use big data technology to optimize efficiency. This illustrates the benefits of combining big data and lean thinking. While there are various interpretations or models to address such problems, Lean Thinking can contribute to the implementation of more optimal projects for a business.

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Exploring architectural choices: Options for running IBM TRIRIGA Application Suite on AWS with Red Hat OpenShift

IBM Big Data Hub

It helps organizations optimize their workplace experience , facility resource scheduling, facility strategic planning, lease accounting and asset disposal, and manage their transactions, capital projects , space , facility maintenance and facility sustainability. Figure 1: TAS on customer-hosted Red Hat OpenShift high-level architecture 2.

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Gen AI without the risks

CIO Business Intelligence

On top of that, Gen AI, and the large language models (LLMs) that power it, are super-computing workloads that devour electricity.Estimates vary, but Dr. Sajjad Moazeni of the University of Washington calculates that training an LLM with 175 billion+ parameters takes a year’s worth of energy for 1,000 US households. Not at all.

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Your New Cloud for AI May Be Inside a Colo

CIO Business Intelligence

Enterprises moving their artificial intelligence projects into full scale development are discovering escalating costs based on initial infrastructure choices. Many companies whose AI model training infrastructure is not proximal to their data lake incur steeper costs as the data sets grow larger and AI models become more complex.

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How to choose the best DSPM solution for your organization: comparison of features, benefits, and pricing models of different DSPM vendors

Laminar Security

According to a recent report by IBM , the average cost of a data breach in 2023 was $4.24 DSPM solutions help organizations achieve data security compliance, reduce data breach risks, optimize cloud costs, and improve data quality, all while enabling data-driven innovation. million, the highest it’s been in 17 years.