Analytics

Why Data Projects Fail to Deliver Real-Life Impact: 5 Critical Elements to Watch Out for as an Analytics Manager

A straightforward guide to know the macro-elements that may negatively impact your workEver found yourself deep in a knowledge project, only to understand it’s going nowhere? It’s a more common feeling than you would...

Self-Service Data Analytics as a Hierarchy of Needs

From food and shelter to self-actualization: Easy methods to use a scientific approach to create the foundations that support self-service analyticsPeopleI come from the Tech side, so wish to create technical solutions to resolve...

What Greenwashing Is, and How We Can Use Analytics to Detect It

Explore how data analytics may help us to detect and stop greenwashing to advertise real sustainabilityThis act of embellishment or hiding falsehood has grow to be a typical challenge as firms seek the eye...

People Analytics Is The Recent Big Thing & Here’s Why You Should Know About It

All about Data & Analytics on people at workPeople Analytics might be defined as a means of working with HR data and translating that into data-driven actionable insights to enhance the best way business...

Adam Asquini, Director Information Management & Data Analytics at KPMG – Interview Series

Adam Asquini is a Director of Information Management & Data Analytics at KPMG in Edmonton. He's accountable for leading data and advanced analytics projects for KPMG's clients within the prairies. Adam is obsessed with...

Combining Text-to-SQL with Semantic Seek for Retrieval Augmented Generation Summary Context A Query Engine to Mix Structured Analytics and Semantic Search Experiments Conclusion

In this text, we showcase a strong recent query engine ( SQLAutoVectorQueryEngine ) in LlamaIndex that may leverage each a SQL database in addition to a vector store to meet complex natural language queries...

Combining Text-to-SQL with Semantic Seek for Retrieval Augmented Generation Summary Context A Query Engine to Mix Structured Analytics and Semantic Search Experiments Conclusion

In this text, we showcase a robust latest query engine ( SQLAutoVectorQueryEngine ) in LlamaIndex that may leverage each a SQL database in addition to a vector store to meet complex natural language queries...

MLOps at Edge Analytics | Introduction How we use MLOps at Edge Analytics Considerations for pipeline development A blog series to showcase our process Machine learning at Edge...

At Edge Analytics, we try to develop machine learning applications which might be transparent and reproducible. Machine learning projects are sometimes composed of many parts, and the rapidly available software solutions for managing these...

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