Augmented Analytics Data Governance ML 
Dataconomy
MARCH 17, 2025
Augmented analytics is revolutionizing how organizations interact with their data. By harnessing the power of machine learning (ML) and natural language processing (NLP), businesses can streamline their data analysis processes and make more informed decisions. What is augmented analytics?
Tableau
OCTOBER 14, 2021
Or do they export data to spreadsheets, sacrificing data governance? Expanding access to information with self-service analytics is just the beginning. Bring advanced analytics capabilities to more problem-solvers with AI. And when AI is approachable and transparent, it can build people’s confidence in analytics.
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Tableau
OCTOBER 14, 2021
Or do they export data to spreadsheets, sacrificing data governance? Expanding access to information with self-service analytics is just the beginning. Bring advanced analytics capabilities to more problem-solvers with AI. And when AI is approachable and transparent, it can build people’s confidence in analytics.
Alation
AUGUST 26, 2021
It asks much larger questions, which flesh out an organization’s relationship with data: Why do we have data? Why keep data at all? Answering these questions can improve operational efficiencies and inform a number of data intelligence use cases, which include data governance, self-service analytics, and more.
Pickl AI
DECEMBER 10, 2024
This democratisation of data access empowers cross-functional teams to collaborate effectively on analytics initiatives. Feature Stores for AI/ML Feature stores play a vital role in operationalising Machine Learning (ML). They centralise and standardise the creation, storage, and reuse of featureskey inputs for ML models.
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