
Where's The Data
This post sheds light on a critical question concerning AI: the whereabouts of data. Over the past two decades, the software industry has seen a surge in niche applications tailored to solve specific issues...
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The promise of AI is a topic that continues to spark discussions among professionals. Conversations with friends, customers, and colleagues have highlighted the crucial role of data in unlocking the true potential of artificial intelligence. These comments come from a half a dozen meetings this week with folks in my network.
To harness the benefits of AI effectively, here are three considerations when embarking on an AI project.
1. Establish a robust data governance office to oversee data access, location, and normalization processes. 2. Initiate a datalake project to consolidate disparate data sources within your organization, utilizing tools like Microsoft Fabric to structure data for machine learning applications. 3. Prioritize advanced analytics as an initial step post-datalake implementation. This approach allows for both programmatic analysis and visual representation through platforms like Power BI.
Securing early successes in these areas not only provides your team with confidence but also creates a foundation for extracting valuable insights from future AI initiatives centered around data.
Best wishes on your AI journey!


This post sheds light on a critical question concerning AI: the whereabouts of data. Over the past two decades, the software industry has seen a surge in niche applications tailored to solve specific issues...
Read More
In today's fast-paced digital world, AI is a buzzword everyone talks about, but when it comes to real-world implementation, many businesses struggle to bridge the gap between ambition and execution...
Read MoreLets discuss how CoPoint Data can help you leverage the full power of Microsofts data ecosystem.