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The next generation of Amazon SageMaker: The center for all your data, analytics, and AI

AWS Big Data

This week on the keynote stages at AWS re:Invent 2024, you heard from Matt Garman, CEO, AWS, and Swami Sivasubramanian, VP of AI and Data, AWS, speak about the next generation of Amazon SageMaker , the center for all of your data, analytics, and AI. The relationship between analytics and AI is rapidly evolving.

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How Getir unleashed data democratization using a data mesh architecture with Amazon Redshift

AWS Big Data

This blog post is co-written with Pinar Yasar from Getir. In this post, we explain how ultrafast delivery pioneer, Getir , unleashed the power of data democratization on a large scale through their data mesh architecture using Amazon Redshift. Next, we’ll provide a broader overview of modern data trends reinforced by Getir’s vision.

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Back to the Financial Regulatory Future

Cloudera

The opportunities are great, but so are the challenges To make that future a reality, regulatory challenges confronting banks and insurance companies demand a constant reassessment of compliance strategies and operational frameworks. It’s hard to believe it’s been 15 years since the global financial crisis of 2007/2008. Well, sort of.

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Building on a year of focus to help IBM Power clients grow with hybrid cloud and AI

IBM Big Data Hub

We are expanding IBM Db2 Warehouse on Power with a new Base Rack Express at a 30% lower entry list price, adding to today’s S, M and L configurations, while still providing the same total-solution experience, including Db2 Data Warehouse’s connectivity with watsonx.data to unlock the potential of data for analytics and AI.

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Why Choose a Hybrid Data Cloud in Financial Services?

Cloudera

As I meet with our customers, there are always a range of discussions regarding the use of the cloud for financial services data and analytics. It is not intended to be an exhaustive list, rather some of the issues that rise to the top of the strategy when assessing your hybrid data cloud deployment. .

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Unlocking the Power of AI with a Real-Time Data Strategy

CIO Business Intelligence

Investments in artificial intelligence are helping businesses to reduce costs, better serve customers, and gain competitive advantage in rapidly evolving markets. Here, I’ll focus on why these three elements and capabilities are fundamental building blocks of a data ecosystem that can support real-time AI.

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The advantages and disadvantages of hybrid cloud

IBM Big Data Hub

With the rapid advancements in cloud computing, data management and artificial intelligence (AI) , hybrid cloud plays an integral role in next-generation IT infrastructure. As an initial step, business and IT leaders need to review the advantages and disadvantages of hybrid cloud adoption to reap its benefits.