Remove Data Collection Remove Interactive Remove Optimization Remove Uncertainty
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Real-time Data, Machine Learning, and Results: The Evidence Mounts

CIO Business Intelligence

In the new report, titled “Digital Transformation, Data Architecture, and Legacy Systems,” researchers defined a range of measures of what they summed up as “data architecture coherence.” Putting data in the hands of the people that need it. Data Architecture, IT Leadership The study results don’t surprise us.

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The Lean Analytics Cycle: Metrics > Hypothesis > Experiment > Act

Occam's Razor

We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago. Sometimes, we escape the clutches of this sub optimal existence and do pick good metrics or engage in simple A/B testing. Online, offline or nonline.

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An AI Data Platform for All Seasons

Rocket-Powered Data Science

To see this, look no further than Pure Storage , whose core mission is to “ empower innovators by simplifying how people consume and interact with data.” Optimizing GenAI Apps with RAG—Pure Storage + NVIDIA for the Win!

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Leading infrastructure to accelerate electric power intelligence

CIO Business Intelligence

However, new energy is restricted by weather and climate, which means extreme weather conditions and unpredictable external environments bring an element of uncertainty to new energy sources. We also need to create space for market-oriented interaction. This includes participating in peak regulation according to user market behavior.

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Human-centered design and data-driven insights elevate precision in government IT modernization

IBM Big Data Hub

Government executives face several uncertainties as they embark on their journeys of modernization. A pain point tracker (a repository of business, human-centered design and technology issues that inhibit users’ ability to execute critical tasks) captures themes that arise during the data collection process.

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Data Science, Past & Future

Domino Data Lab

By virtue of that, if you take those log files of customers interactions, you aggregate them, then you take that aggregated data, run machine learning models on them, you can produce data products that you feed back into your web apps, and then you get this kind of effect in business. Those are nice problems to have.

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Product Management for AI

Domino Data Lab

This talk will describe how you can navigate all these challenges that you’re going to face and build a business where every product interaction benefits from your investment in machine learning. The biggest time sink is often around data collection, labeling and cleaning.