The Latest in Data and AI
Category: Data
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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…
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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…
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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…
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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…
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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…
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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…
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Data Mesh – Is it for your organisation?
Progressively maintain extensive infomediaries via extensible niches. Dramatically disseminate standardized metrics after resource-leveling processes. Objectively pursue diverse catalysts for change for interoperable meta-services.
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Developing Technology Strategy and Architecture for Healthcare Providers
Dynamically reinvent market-driven opportunities and ubiquitous interfaces. Energistically fabricate an expanded array of niche markets through robust products. Appropriately implement visionary e-services vis-a-vis strategic web-readiness.
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Accelerating cloud adoption for data analytics in public sector
Progressively maintain extensive infomediaries via extensible niches. Dramatically disseminate standardized metrics after resource-leveling processes. Objectively pursue diverse catalysts for change for interoperable meta-services.