TinyML and machine learning best practices
Machine LearningContributorsFeatured

There’s been an ongoing trend of people wanting increasingly capable and smaller tech devices. Those desires have spurred progress in a segment of artificial intelligence (AI) called TinyML. Here’s a look at how it could enhance future possibilities.  What Is TinyML? It’s already widely known that processing data directly on

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Pushing boundaries with machine learning
Machine LearningEnergy & EnvironmentFeaturedHealthcareTechnology & IT

Machine learning (ML) is how a system learns and adapts its processes from the patterns found in large amounts of data. When we think of machine learning, some prominent examples come to mind. For instance, the way product recommendations on Amazon are eerily similar to Google searches you’ve done. The

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chief data officer
Data ScienceArtificial IntelligenceBI & AnalyticsCase StudiesFeaturedNewsTech Trends

What’s next for the Chief Data Officer role? How can CDOs navigate disruption, bring business value to their organizations, and, ultimately, get an invitation to the board of directors?

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Blockchain talent - bridging the gap
BlockchainArtificial IntelligenceContributorsFeatured

Last week, Dataconomy’s Stewart Rogers served as master of ceremonies for a CogX Open Web Forum panel (curated by Fabric Ventures) I participated in along with Muneeb Ali (Stacks) and Josh Tobkin (Supra-Oracles). We were grappling with the question of how we inspire best-in-breed technical stars to join Open Web

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Analytics and decision making
BI & AnalyticsBig DataContributorsFeatured

Like oil or money, data is a valuable resource that holds great potential. But too many organizations set their sights on amassing data, or worse, using it only in isolated processes or departments when they should be focused on applying data throughout their everyday operations.   Technology is, of course, part

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AI making BI Obsolete

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