Tags
Language
Tags
June 2025
Su Mo Tu We Th Fr Sa
1 2 3 4 5 6 7
8 9 10 11 12 13 14
15 16 17 18 19 20 21
22 23 24 25 26 27 28
29 30 1 2 3 4 5
    Attention❗ To save your time, in order to download anything on this site, you must be registered 👉 HERE. If you do not have a registration yet, it is better to do it right away. ✌

    ( • )( • ) ( ͡⚆ ͜ʖ ͡⚆ ) (‿ˠ‿)
    SpicyMags.xyz

    Data Quality in the Age of AI : Building a foundation for AI strategy and data culture

    Posted By: yoyoloit
    Data Quality in the Age of AI  : Building a foundation for AI strategy and data culture

    Data Quality in the Age of AI
    by Andrew Jones

    English | 2024 | ISBN: 180512143X | 40 pages | True PDF EPUB | 8.15 MB


    Unlock the power of your data with expert insights on data quality and AI. Discover methods to enhance data quality, maximize AI's potential, and establish a data-centric culture
    Key Features

    Explore the relationship between data quality and AI, gaining a profound understanding of their interplay
    Discover actionable strategies to improve data quality, emphasizing practical implementation and real-world results
    Acquire the skills to measure and evaluate data quality, empowering data leaders to make data-driven decisions

    Book Description

    Organizations globally seek to revamp their data strategies to leverage recent AI advancements and position themselves to benefit from newfound capabilities. However, the effectiveness of advanced models hinges on quality data. Thus, data quality is now more crucial to your strategy than ever before. To enhance data quality, a clear strategy is imperative, outlining its significance in achieving organizational goals.

    This report elucidates the critical role of data quality in your overall data strategy, providing actionable steps to establish it as the cornerstone of your data culture. By doing so, you'll be well-positioned to capitalize on AI advancements, maximizing the value derived from your data.

    The report empowers teams and organizations with knowledge and tools to thrive in the evolving AI landscape, serving as a roadmap for utilizing data quality as a catalyst for AI advancements. This enables organizations to unlock their data's full potential, leading to improved performance, reduced costs, increased revenue, and better-informed strategic decisions.
    What you will learn

    Enhance data quality at its source with effective strategies and best practices
    Identify and measure data quality within the datasets
    Adopt a product mindset to address data quality challenges
    Explore emerging architectural patterns like data mesh and data contracts
    Assign roles, responsibilities, and incentives for data generators.
    Maintain high data quality standards with the help of Data Governance

    Who this book is for
    This report is tailored for data leaders responsible for shaping their organization's data strategy to maximize data value, especially those looking to harness recent AI advancements.

    For more quality books vist My Blog.


    Password: avxhm.se@yoyoloit