Remove Dashboards Remove Publishing Remove Risk
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How I Broke Our SLA and Delighted Our Customer

DataKitchen

No dashboard updates. And because our process was designed to fail fast when integrity was violated, it refused to publish anything at all. I broke one of our most critical SLAs just last week, and it was the best thing that could have happened. It was shaping up to be a major embarrassment. No new data. Where was I? The takeaway?

Testing 118
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Automate AWS Clean Rooms querying and dashboard publishing using AWS Step Functions and Amazon QuickSight – Part 2

AWS Big Data

Instead, they rely on up-to-date dashboards that help them visualize data insights to make informed decisions quickly. Manually handling repetitive daily tasks at scale poses risks like delayed insights, miscataloged outputs, or broken dashboards. At a large volume, it would require around-the-clock staffing, straining budgets.

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A Detailed Introduction on Data Lakes and Delta Lakes

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. You may run different types of analytics, from dashboards and visualizations to big data processing, real-time analytics, and machine […].

Data Lake 271
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Managing machine learning in the enterprise: Lessons from banking and health care

O'Reilly on Data

After the 2008 financial crisis, the Federal Reserve issued a new set of guidelines governing models— SR 11-7 : Guidance on Model Risk Management. Note that the emphasis of SR 11-7 is on risk management.). Sources of model risk. Machine learning developers are beginning to look at an even broader set of risk factors.

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Publish and enrich real-time financial data feeds using Amazon MSK and Amazon Managed Service for Apache Flink

AWS Big Data

In this post, we demonstrate how you can publish an enriched real-time data feed on AWS using Amazon Managed Streaming for Kafka (Amazon MSK) and Amazon Managed Service for Apache Flink. Amazon Opensearch stores the data, and OpenSearch Dashboards allows applications to query the data at any point in the future.

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Digital twins at scale: Building the AI architecture that will reshape enterprise operations

CIO Business Intelligence

Implement visualization tools Develop visualization tools and dashboards that present the data and insights from the digital twin in a user-friendly manner. This proactive approach minimizes risks and ensures that the final architecture performs optimally in real-world scenarios. Prototyping and testing. Want to join?

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Data’s dark secret: Why poor quality cripples AI and growth

CIO Business Intelligence

Fragmented systems, inconsistent definitions, legacy infrastructure and manual workarounds introduce critical risks. The decisions you make, the strategies you implement and the growth of your organizations are all at risk if data quality is not addressed urgently. Manual entries also introduce significant risks.