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The Evolving Role of BI Engineers in AI-Driven Analytics

  Copy link into your clipboard //science-technology.news-articles.net/content/2 .. role-of-bi-engineers-in-ai-driven-analytics.html
  Print publication without navigation Published in Science and Technology on by MSN
          🞛 This publication is a summary or evaluation of another publication 🞛 This publication contains editorial commentary or bias from the source
Chinni Krishna notes that industries leveraging AI-augmented BI tools have experienced improved efficiency in decision-making processes.
The article from MSN discusses the transformation in the role of Business Intelligence (BI) Engineers due to the integration of AI into analytics. Traditionally, BI Engineers focused on data collection, storage, and reporting. However, with AI's advent, their role has expanded to include the development and implementation of AI-driven analytics solutions. This shift involves not only handling larger datasets but also leveraging machine learning algorithms to provide predictive insights, automate data processes, and enhance decision-making capabilities. BI Engineers now need skills in AI and machine learning, alongside their traditional BI competencies, to design systems that can learn from data, predict trends, and offer real-time analytics. This evolution requires BI Engineers to adapt to new tools and methodologies, ensuring they can meet the growing demand for intelligent, data-driven business strategies. The article highlights the necessity for continuous learning and adaptation in this field to stay relevant in an AI-centric business environment.

Read the Full MSN Article at:
[ https://www.msn.com/en-in/technology/data-science/the-evolving-role-of-bi-engineers-in-ai-driven-analytics/ar-AA1wHcll ]