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Webinar Summary: Driving Data Analytic Team Excellence Through Agility, Efficiency, and Aphorisms

DataKitchen

He then noted that the situation has reversed, with more time spent on analytics due to improved techniques, emerging technologies, and better processes. This includes working on data quality testing and structuring data for easy access. Click below to watch!

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Trustworthy AI, Powered by Trusted Data

Precisely

Watch the webinar AI You Can Trust Watch this webinar and see how we explore organizational challenges in maintaining data integrity for AI applications and real-world use cases showcasing the transformative impact of high-integrity data on AI success. For more, watch the on-demand webinar: AI You Can Trust.

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Serviceability 101: Key Driver of Telecom Growth

Precisely

Serviceability refers to a network or service provider’s ability to reliably deliver telecommunication services to a specific location – including access to phone lines, internet, and other communication technologies – and ensure that all potential customers are receiving services. Ready to Get Started with Serviceability Solutions?

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Know Before You Go: Precisely at Confluent’s Current 2023

Precisely

Instead of excluding traditional systems from your cloud projects and making decisions based on data you can’t trust, you need to look for data integrity solutions that handle all the underlying complexities of this technology stack and work with Confluent. That’s where our Precisely data integrity solutions come in.

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8 Ways to Get Free AWS Credits in 2024

Knowledge Hut

Whether you're a startup founder, a seasoned developer, or an aspiring cloud enthusiast, having access to AWS credits can be a game-changer. This includes access to AWS activate credits, technical support, Cloud Engineer training , and other valuable resources. But how can you secure these valuable resources without breaking the bank?

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How Coca-Cola and Others Deliver Automation and Digital Transformation Success

Precisely

To learn more about the real-world value of automation, digital transformation, and data quality and integrity, we were joined for a PEX Network webinar by representatives from The Coca-Cola Company and Nike: Jon Atienza, Manager, Intelligent Automation at The Coca-Cola Company Andrae Kirkland, Lead Tech Program Manager at Nike Andrew Hayden, Sr.

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Data Engineering Weekly #170

Data Engineering Weekly

The motivation for Machine Unlearning is critical from the privacy perspective and for model correction, fixing outdated knowledge, and access revocation of the training dataset. A key thought-provoking moment for me while reading the article is this quote.