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Deriving Value from Data Lakes with AI

Sisense

AI and ML are the only ways to derive value from massive data lakes, cloud-native data warehouses, and other huge stores of information. There just aren’t enough AI and data science practitioners to go around to tackle this lofty goal. Apply that metric to any other business-critical function. It’s the future.

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Visualize data quality scores and metrics generated by AWS Glue Data Quality

AWS Big Data

AWS Glue Data Quality allows you to measure and monitor the quality of data in your data repositories. It’s important for business users to be able to see quality scores and metrics to make confident business decisions and debug data quality issues. An AWS Glue crawler crawls the results.

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How smava makes loans transparent and affordable using Amazon Redshift Serverless

AWS Big Data

To bring their customers the best deals and user experience, smava follows the modern data architecture principles with a data lake as a scalable, durable data store and purpose-built data stores for analytical processing and data consumption.

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Exploring the hyper-competitive future of customer experience

IBM Big Data Hub

One of the most important reasons why organizations are increasingly embracing digital transformation is to revolutionize how they serve the customer. Using metrics derived from customer engagements can drive significant business value. As such, future CX strategies will be more data-driven than ever before.

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How Fujitsu implemented a global data mesh architecture and democratized data

AWS Big Data

To transform Fujitsu from an IT company to a digital transformation (DX) company, and to become a world-leading DX partner, Fujitsu has declared a shift to data-driven management. Foundation – This role encompasses the data steward and governance team. Each role has sub-roles.

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Don’t Fear Artificial Intelligence; Embrace it Through Data Governance

CIO Business Intelligence

This would be straightforward task were it not for the fact that, during the digital-era, there has been an explosion of data – collected and stored everywhere – much of it poorly governed, ill-understood, and irrelevant.

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Better, faster decisions: Why businesses thrive on real-time data

CIO Business Intelligence

We’ve all experienced the pain of what continues to happen with the disconnect between customer usage metrics and gaps in supply chain data.” — Frank Cutitta ( @fcutitta ), CEO and Founder, HealthTech Decisions Lab “Operationally, think of logistics. This means that all changes, all transitions, are instantaneous.