Remove Analytics Remove Data Processing Remove Experimentation Remove Optimization
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DS Smith sets a single-cloud agenda for sustainability

CIO Business Intelligence

Its digital transformation began with an application modernization phase, in which Dickson and her IT teams determined which applications should be hosted in the public cloud and which should remain on a private cloud. Energy optimization is another key aspect of DS Smith’s data and sustainability pipeline, the CIO says.

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CIOs sharpen cloud cost strategies — just as gen AI spikes loom

CIO Business Intelligence

“Awareness of FinOps practices and the maturity of software that can automate cloud optimization activities have helped enterprises get a better understanding of key cost drivers,” McCarthy says, referring to the practice of blending finance and cloud operations to optimize cloud spend.

Strategy 140
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Experimentation and Testing: A Primer

Occam's Razor

This post is a primer on the delightful world of testing and experimentation (A/B, Multivariate, and a new term from me: Experience Testing). Experimentation and testing help us figure out we are wrong, quickly and repeatedly and if you think about it that is a great thing for our customers, and for our employers.

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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

While leaders have some reservations about the benefits of current AI, organizations are actively investing in gen AI deployment, significantly increasing budgets, expanding use cases, and transitioning projects from experimentation to production. AGI wouldn’t just perceive its surroundings; it would understand them.

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What you need to know about product management for AI

O'Reilly on Data

But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools. The need for an experimental culture implies that machine learning is currently better suited to the consumer space than it is to enterprise companies.

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How to Take Back 40-60% of Your IT Spend by Fixing Your Data

Ontotext

The data itself is stored in a way that is not optimal for extracting insight. This is the future of modern data and analytics and a critical enabler to getting more value and insight out of your data. This is partly because integrating and moving data is not the only problem.

IT 69
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How to Build a Flexible Developer Documentation Portal

Sisense

Developing analytic apps is a bold new direction for product teams. The Toolbox is where we talk development best practices, tips, tricks, and success stories to help you build the future of analytics and empower your users with the insights and actions they need. First, the hosting is very cheap. Choose the right framework.