Remove Data Collection Remove Reporting Remove Uncertainty
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Key Data Trends And Forecasts In The Energy Sector

Smart Data Collective

With the Coronavirus pandemic, the world has been thrown into complete uncertainty. According to a new study called Global Big Data Analytics in the Energy Sector Market, provides a comprehensive look at the industry. The uncertainty comes with a major market shift, the dimensions of data software cannot be ignored.

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How to Ensure Single Source of Truth Reporting for PeopleSoft

Jet Global

Single source of truth reporting is exactly what it sounds like: reporting based on a shared repository of facts that includes all information relevant to every user. It’s the ideal approach to reporting, but it’s rarer than people realize. Automated Data Collection. Incorporation of All Data.

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Real-Time Insights Help Eliminate Common Financial Reporting Issues

Jet Global

Turning raw data into actionable or strategic insights typically involves putting it through a financial reporting process based around the ERP and an army of static Excel spreadsheets. Capable as these programs may be, neither was designed specifically for financial reporting. A New Roadmap for Financial Reporting.

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Real-time Data, Machine Learning, and Results: The Evidence Mounts

CIO Business Intelligence

It’s yet another key piece of evidence showing that there is a tangible return on a data architecture that is cloud-based and modernized – or, as this new research puts it, “coherent.”. Data architecture coherence. Putting data in the hands of the people that need it. Data Architecture, IT Leadership

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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.” live data consumption) or real-time adaptation to changing business conditions.

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Q&A with Chris Ortega: Dealing With Uncertainty Through Technology

Jet Global

To implement AI, you need four main resources: an algorithm, at least 15 years of data, massive amounts of data over that time period, and a way to test the algorithm and get feedback on its accuracy. It’s part of a mixed bag of tools that we use for data collection, tracking, reporting, and analysis.

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The importance of governance: What we’re learning from AI advances in 2022

IBM Big Data Hub

This includes data collection, instrumenting processes and transparent reporting to make needed information available for stakeholders. AI governance technology can help implement guardrails at each stage of the AI/ML lifecycle.