Analytics
Artificial Intelligence
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...
Artificial Intelligence
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...
Artificial Intelligence
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...
Artificial Intelligence
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...
Artificial Intelligence
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...
Artificial Intelligence
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...
Artificial Intelligence
Data Observability for Analytics and ML teams
Principles, practices, and examples for ensuring prime quality data flowsThe opposite way that ML data differs by way of data observability is that “correct” output is just not all the time obvious. Oftentimes, users...
Artificial Intelligence
Fast-Tracking Incident Detection with User and Entity Behavior Analytics (UEBA)
Information overload — and false positives — are major challenges in the everyday incident response organization. Due to the plethora of various security platforms, applications, and tools, security teams with limited resources must sift...
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