How to Use a Knowledge Graph to Power a Semantic Data Layer for Databricks
Knowledge Graphs have become ubiquitous, we just don’t know it. We experience it every day when we search on Google or watch the feeds that run through our social media accounts of people we know, companies we follow or the content we like. Similarly,
2024-04-27
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Robot overcomes uncertainty to retrieve buried objects
For humans, finding a lost wallet buried under a pile of items is pretty straightforward — we simply remove things from the pile until we find the wallet. But for a robot, this task involves complex reasoning about the pile and objects in it, which presents
2024-04-27
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The Explainable AI Imperative Amid Global AI Regulation
The General Data Protection Regulation (GDPR) was a big first step toward giving consumers control of their data. As powerful as this privacy initiative is, a new personal data challenge has emerged. Now, privacy concerns are focused on what companies are
2024-04-26
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Urgency Driving AIOps into the Enterprise
AIOps makes the enterprise more agile by helping IT teams become more proactive and predictive in anticipating challenges that could lead to costly downtime. In addition, it allows machines to solve IT issues by themselves, by using a multilayered approach
2024-04-26
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How Quantum Computing Will Change the World
Many companies are keeping a close eye on quantum computing because it is quickly becoming a reality. Access to quantum computing will significantly improve their business processes' effectiveness and efficiency, and many look forward to its significant
2024-04-26
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AI in Recruitment: Removing Biases and Increasing Efficiency
There are many stages in recruitment when a potential hire applies for a role The CV or cover letter needs to be reviewed, and from there, they may have two or three rounds of interviews. If offered a job, conversations around salary and onboarding and
2024-04-25
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What Makes a Data Visualization Confusing?
Why are some visualizations so easy to understand at first sight while others seem to be some sort of graphical puzzle? Why do some visualizations need to be relearned every time you see them again, whereas others need only one simple initial exposure? The
2024-04-25
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Why Poor Data Quality is Holding Back Big Data
Remember the old adage, “Garbage in, garbage out”? We can’t expect an algorithm to deliver accurate insights if it is fed with low quality data. Yet, all too often poor data quality only becomes a recognised issue when the algorithm starts delivering
2024-04-25
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Wanna become Value-driven? Time for a Culture Shift! - DataScienceCentral.com
I am honored to collaborate on this week’s blog with Fran Willis White, an industry expert on the role of change leadership and employee empowerment to drive cultural transformation. In collaborating on this blog, I discovered many similarities in the
2024-04-24
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