Which Cloud Data warehouse solution are you currently considering for your organization?

Data Center and Cloud Infrastructure Cloud

Azure71%

Snowflake30%

AWS Redshift6%

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Chief Data Analytics Officer & SVP Digital Technology in Consumer Goodsa year ago

We are using Databricks on top of Azure as our core enterprise data platform

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Which One is Best?

Microsoft Power Bi73%

Tableau23%

Qlik Sense3%

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We are working on PDF data extraction doing a POC with a few LLMs like Claude, Co-pilot, Power automate, Textract etc. While, machine printed pdfs are fairly trivial and accurate from LLMs extraction, we are running into a challenge with hand written PDFs, as the image clarity is often very poor. Despite trying to OCR it and then parsing, it is not working well. I am trying to figure out, if anyone has a better suggestion or solution for this need?

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What is your biggest fear with migrating to the cloud?

Data Security33%

Data Migration Complexity33%

Performance Concerns26%

Integration With Other Tools23%

Budget/Cost51%

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I am looking for insights and best practices from those who have successfully tackled data management challenges within their organizations. Our team is developing a comprehensive strategy for managing both structured and unstructured data assets across their lifecycle. I have two key questions I'd like to open for discussion: 1) How are you approaching the overall strategy for data archival and retention management for both structured and unstructured data? 2) How are you systematically implementing and enforcing defined retention schedules within your technical systems for both structured and unstructured data?

Why do you think there are so few mature AI-driven autonomous pentesting solutions on the market, and why does this topic seem to generate more hype than in-depth technical discussion?

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