Despite the explosion of 'talk to your data' agents, most fall short of production-grade accuracy — here's why the problem is architectural, not just about better LLMs.
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Healthcare needs fast, effective on-demand analytics to optimize care and create new offerings while staying compliant. How is it possible?
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The Data Mesh concept is hyped as a counterpoint to the traditional large, centralized data platforms of the past few decades.
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A federated query is joining data from two or more disparate data sources. Example, joining data from Salesforce with data from an Oracle.
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Find our why IDC has named Promethium an IDC Innovator for Business Intelligence and Decisioning Software Solutions.
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What makes Data Fabric data pipelines so special is that they don't rely on persisting data first.
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The Data Fabric concept pushes beyond traditional thinking and is a big idea for changing the way data is made accessible.
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Extract, transform, load (ETL) describes the process of copying data from a single or multiple repositories into a new centralized system.
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Augmented analytics involves using machine learning and natural language processing (NLP) to assist with data prep, analysis and reporting.
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The industry has looked to several models to collect, store and impose order on an organization’s data. The Data Lake is one of them.
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A data warehouse is a data management system designed to support business intelligence (BI) activities.
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Forrester's Overview Of 40 Augmented BI Platform Providers includes Promethium
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Promethium is committed to using the latest technologies to create products that help our customers use data to succeed. For that reason...
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