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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

The longer answer is that in the context of machine learning use cases, strong assumptions about data integrity lead to brittle solutions overall. Probably the best one-liner I’ve encountered is the analogy that: DG is to data assets as HR is to people. Most of the data management moved to back-end servers, e.g., databases.

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Getting started with AWS Glue Data Quality from the AWS Glue Data Catalog

AWS Big Data

AWS Glue is a serverless data integration service that makes it simple to discover, prepare, and combine data for analytics, machine learning (ML), and application development. Hundreds of thousands of customers use data lakes for analytics and ML to make data-driven business decisions. Choose Save ruleset.

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Exercising Control Over Transfer Pricing: How to Avoid Risks at Year-End

Jet Global

Managing Data Integrity. Before rolling the new process out, the company needed to address data integrity, a normal stage in any new software implementation project. Following the data integrity phase, the company focused on setting up the correct processes and on rightsizing the project.

Risk 98
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Data Prep for AI: Get Your Oracle House in Order

Jet Global

Finance has always been considered risk averse, so it is perhaps unsurprising to see that AI adoption in finance significantly lags other departments. This untapped potential suggests a significant opportunity for those willing to embrace AI and gain a competitive edge through intelligent automation and data-driven financial insights.

Finance 52
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Unified Data Clears the Roadblocks of Your Hybrid Cloud Journey

Jet Global

Reasons for Lingering On-Premises Many companies are willing to experiment with the cloud in other parts of their business, but they feel that they can’t put the quality, consistency, security, or availability of financial data in jeopardy. Thus, finance data remains on-premises.

Finance 52
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Unlock Your Oracle ERP Data: Discover the Angles Views Lite and Wands for Oracle Advantage

Jet Global

With limited technical capabilities your team might struggle to slice and dice data, uncover hidden patterns, or perform deep dives into specific areas. This lack of visibility can lead to missed opportunities for cost savings or uncovering financial risks.

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Quickly Clean Your SAP Supply Chain Data of Pollution

Jet Global

They are the driver of every global company, manufacturer, and supplier, but they are increasingly susceptible to adverse risks. Insights can then be published directly or distributed by being pushed to or pulled by third-party BI tools. Control risks and process compliance issues such as Segregation of Duty. Clean data is here.