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How companies are building sustainable AI and ML initiatives

O'Reilly on Data

A recent survey investigated how companies are approaching their AI and ML practices, and measured the sophistication of their efforts. The current generation of AI and ML methods and technologies rely on large amounts of data—specifically, labeled training data.

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Chief AI officers in demand as IT leaders expect gen AI productivity boost, survey finds

CIO Business Intelligence

Enterprises are looking to AI to boost productivity and innovation, and one-third of organizations with an interest in the technology have hired or are looking for a chief AI officer, according to new research from Foundry, publisher of CIO.com.

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The quest for high-quality data

O'Reilly on Data

Machine learning solutions for data integration, cleaning, and data generation are beginning to emerge. “AI AI starts with ‘good’ data” is a statement that receives wide agreement from data scientists, analysts, and business owners. Data integration and cleaning.

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How To Interact With Power BI Data In A PowerPoint Presentation

Smart Data Collective

Some fantastic components of Power BI include: Power Query lets you merge data from different sources Power Pivot aids in data modelling for creating data models Power View constructs interactive charts, graphs and maps. Data Processing, Data Integration, and Data Presenting form the nucleus of Power BI.

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How CFOs Can Lead With Foresight

Jedox

Cloud scenario planning platforms can now capture financial data and sub-ledger transactions in real time to provide constant feedback on cost and revenue. Build for broad and deep data integration. Old pre-crisis planning took historic company data like aggregated product sales and applied run-rates.

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

Ontotext

Achieving this advantage is dependent on their ability to capture, connect, integrate, and convert data into insight for business decisions and processes. This is the goal of a “data-driven” organization. We call this the “ Bad Data Tax ”.

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10 DataOps Principles for Overcoming Data Engineer Burnout

DataKitchen

We talk about systemic change, and it certainly helps to have the support of management, but data engineers should not underestimate the power of the keyboard. Instead, you’ll focus on managing change in governance policies and implementing the automated systems that enforce, measure, and report governance.

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