Joined September 2009
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Jun 12
AI agents access data differently and require a new design approach for data platforms.
Centerprise AI provides this access layer with a central catalog containing data models, data pipelines, structured metadata, RAG-ready data stores, APIs, MCPs, and more. The catalog features security, governance, and discovery capabilities.
Read more: sl1nk.com/czvlp8n
@ISurani | @_Centerprise
#CenterpriseAI #AgenticAI #AIAgents #DataFoundation #EnterpriseAI #DataManagement #RAG #DataCatalog #AIInfrastructure #Astera #AILeadership #TechLead
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Jun 11
Introducing Centerprise AI – the enterprise data foundation for trusted analytics and AI.
AI has fundamentally expanded the scope of what enterprises can achieve with their data. Centerprise AI is the infrastructure that supports this expansion.
One platform to build a governed data foundation across structured and unstructured sources, databases, ERPs, CRMs, documents, PDFs, emails, images, and communication channels.
All of it, accessible to your teams and AI systems through natural language.
Join our upcoming webinar to see it in action: bit.ly/4fL9sFb
@_Centerprise
#CenterpriseAI #AgenticAI #DataFoundation #EnterpriseAI
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Jun 12
To learn more, read how Centerprise AI is redefining enterprise data infrastructure: shorturl.at/UCvYy
@_Centerprise
#CenterpriseAI #AgenticAI #DataFoundation #EnterpriseAI
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May 26
Building a production-ready data warehouse has traditionally meant long engineering cycles across ingestion, modeling, pipelines, and analytics.
We’re introducing an AI agentic approach that can design dimensional models, generate data pipelines, and build governed warehouse foundations directly from raw source systems.
#AgenticAI #DataWarehouse #AnalyticsEngineering
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May 26
The agent reads requirements, understands source schemas, designs the warehouse structure, and generates the underlying pipelines automatically.
The result is a production-ready foundation for reliable analytics and operational data workflows.
Conversational at design time. Deterministic at runtime.
#AgenticAI #DataWarehouse #AnalyticsEngineering
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May 26
From ingestion to governed analytics, the entire lifecycle happens inside one platform.
Stay tuned to see how @AsteraSoftware is bringing agentic AI into enterprise data warehousing and analytics workflows.
Stay tuned to learn more: astera.com/
#AgenticAI #DataWarehouse #AnalyticsEngineering
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May 12
Processing 1,000 docs/day at 20% exception = 6,000 manual fixes/month.
#LLM APIs extract. Validation has to be built around them.
@AsteraSoftware’s ReportMiner does both inside the same data extraction pipeline.
Read here: bit.ly/4ufOBh3
#DataExtraction #DataQuality
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May 11
Different vendor, different format. That means manual mapping in data extraction, every single time.
@AsteraSoftware's #ReportMiner aligns terminology, structure, & position automatically across sources.
Faster onboarding. Less manual mapping. More automated alignment.
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May 5
Stop building pipelines one at a time.
There’s a better way: one data model, 100s of pipelines, no code.
Let your model drive mapping, generation, & deployment so one design scales across pipelines.
Read more: bit.ly/4cZVvQA
#DataEngineering #ETL #DataIntegration
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Apr 30
Document variability spans formats, structures, terminology, and layouts. Most tools handle one layer and leave the rest to manual fixes.
@AsteraSoftware's ReportMiner handles all four, so your data extraction pipeline stays consistent and scalable.
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Apr 30
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Apr 22
Most extraction tools struggle with document variability.
ReportMiner is built to handle any document in a single pipeline from format conversion & extraction to mapping, validation, and automation.
ALT Every layout, every format, every source processed automatically with no manual intervention.
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Apr 23
The outcome? Structured, system ready data. 0–90% less manual mapping. New supplier onboarding cut from days to hours.
Read the article: bit.ly/3Qm8tk1
#DataExtraction #DocumentAutomation #ReportMiner
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Apr 17
Document variability defines modern #dataextraction. Layouts change, vendors switch, formats evolve.
@AsteraSoftware's ReportMiner uses AI to handle this, converting documents into structured, system-ready data.
#UnstructuredData #DocumentAutomation #DataPipelines #IDPlatform
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Mar 14
Document extraction must adapt as documents evolve.
Layouts change, tables expand & sections move. Context-based extraction scales by understanding how the data relates to the whole document.
Learn more:bit.ly/4rv7oDu
#IDP #documentextraction
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Mar 10
OCR converts images into text. IDP classifies, extracts, validates & integrates structured data into workflows.
@AsteraSoftware's ReportMiner handles structural variability & produces consistent, integration-ready output.
Read here: bit.ly/4dcJwkb
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