The Latest in Data and AI

Category: Data


  • Mastering Your Data Management Strategy

    Mastering Your Data Management Strategy

    “More than 70% of employees have access to data they shouldn’t, and 80% of analysts’ time is wasted just preparing data.” – Harvard Business Review Data is your company’s most valuable asset. Yet, without a structured data management strategy, that asset quickly turns into a liability. Inconsistent, siloed, or unsecured data can lead to poor…

  • Real-Time Data Ingestion 101: A Comprehensive Guide

    Real-Time Data Ingestion 101: A Comprehensive Guide

    Whether it’s fraud detection in banking, predictive maintenance in manufacturing, or personalized recommendations in e-commerce, real-time data ingestion plays a critical role in making instant, data-driven decisions. This guide explores what real-time data ingestion is, why it matters, when to use it, the different approaches available, and how Microsoft Fabric enables real-time data processing at…

  • How to Build an AI-Ready Data Foundation

    How to Build an AI-Ready Data Foundation

    The rise of large language models (LLMs) has given some businesses the impression that training data is no longer a critical factor. After all, these models come pretrained with vast amounts of knowledge. However, to gain a true competitive edge, companies need AI that understands their specific domain, customers, and internal processes—which means high-quality, proprietary…

  • The Data Value Gap: Why Only 32% of Companies Realise Tangible Benefits from Data

    The Data Value Gap: Why Only 32% of Companies Realise Tangible Benefits from Data

    Data is often hailed as the new oil, the lifeblood of modern enterprises, and the key to unlocking competitive advantage. Yet, despite businesses collecting more data than ever before, only 32% of organisations report realising tangible and measurable value from it, according to an Accenture study. This statistic reveals a troubling paradox: companies are sitting…

  • Automatically Migrating Power BI Premium Capacities to Microsoft Fabric

    Automatically Migrating Power BI Premium Capacities to Microsoft Fabric

    In early 2024, Microsoft announced the consolidation of purchase options and the retirement of Power BI Premium per capacity SKUs (P-SKUs).Starting February 1, 2025, customers with expiring Enterprise Agreements (EA) or Microsoft Cloud Agreements will no longer be able to add or purchase Power BI Premium capacities through their agreements. As a result, organizations currently…

  • A Deep Dive into Microsoft Fabric for Your Data Strategy

    A Deep Dive into Microsoft Fabric for Your Data Strategy

    If you’ve been scratching your head over the term Microsoft Fabric and wondering what it brings to the table in the world of data engineering, you’re in the right place. Today, we’re diving into Microsoft Fabric, what it is, its standout features, and why businesses can’t stop talking about it. Introduction to Microsoft Fabric First…

  • Why AI/ML Projects Fail: A Practical Guide for High-Level Executives

    Why AI/ML Projects Fail: A Practical Guide for High-Level Executives

    Artificial Intelligence (AI) and Machine Learning (ML) have been hailed as transformative technologies that can unlock new business opportunities, drive operational efficiencies, and generate significant ROI. Despite the hype, a substantial number of AI/ML initiatives fail to see completion or fail to deliver the expected value. For decision-makers, CXOs, and VPs, understanding why these projects…

  • Where is Your Organization in the Data Science Hierarchy of Needs?

    Where is Your Organization in the Data Science Hierarchy of Needs?

    Introduction In today’s data-driven world, businesses are increasingly relying on data science to gain insights and make informed decisions. However, the application of data science within an organization is not a one-size-fits-all approach. Understanding where your organization stands in the Data Science Hierarchy of Needs is crucial for optimizing processes and making strategic advancements. This…

  • Unlocking ROI: How Quality Data Drives AI Success

    Unlocking ROI: How Quality Data Drives AI Success

    Investing in artificial intelligence (AI) has become a strategic imperative for many leading organizations. With the promise of transforming industries and delivering unprecedented efficiencies, AI initiatives are attracting significant financial and intellectual capital. However, while the potential of AI is nearly limitless, its success hinges on one critical factor: the quality of the data that…