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9 IT resolutions for 2025

CIO Business Intelligence

And ensure effective and secure AI rollouts AI is everywhere, and while its benefits are extensive, implementing it effectively across a corporation presents challenges. Our success will be measured by user adoption, a reduction in manual tasks, and an increase in sales and customer satisfaction.

IT
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Data Quality Test Coverage In a Medallion Data Architecture

DataKitchen

While this multi-layered approach to data processing offers significant advantages in organizing and refining data, it also introduces complexity that demands rigorous testing strategies to ensure data integrity across all layers. Writing data quality tests manually simply does not scale to enterprise requirements.

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Revolutionizing Customer Touchpoints with AI Across Digital Platforms

DataFloq

The key lies in selecting the right combination of AI solutions that generate comprehensive customer insights while delivering measurable business outcomes across all interaction points. Predictive analytics forecast attendance patterns, enabling smart resource allocation and targeted communication strategies that boost show-up rates by 65%.

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Generative AI: A Self-Study Roadmap

KDnuggets

For developers and data practitioners, this shift presents both opportunity and challenge. Understanding how different models tokenize text helps you estimate costs accurately and design efficient prompting strategies. Design iteratively—test variations and measure results systematically.

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Webinar: A Guide to the Six Types of Data Quality Dashboards

DataKitchen

He stressed the importance of measuring quality to demonstrate value and extend influence. Ticket-Driven Workflow as a “Dashboard” Bergh presented the idea of using tickets to measure and track progress based on the number of tickets created and resolved, as a method to address data quality issues.

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Data Fluency vs. Data Literacy: The Key to AI-Driven Business Success

Jen Stirrup

What gets measured and rewarded gets repeated. Capability Measurement Track spontaneous data usage and comfort levels, not just technical skills. Measure how often teams independently initiate data-informed discussions rather than waiting for analyst prompts. How often do teams spontaneously use data to make decisions?

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How Volkswagen Autoeuropa built a data solution with a robust governance framework, simplifying access to quality data using Amazon DataZone

AWS Big Data

The first section of this post discusses how we aligned the technical design of the data solution with the data strategy of Volkswagen Autoeuropa. The following criteria were considered to identify these use cases: Use cases that deliver measurable business value for Volkswagen Autoeuropa. Use cases with high AWS maturity.