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Powering the future: The synergy of IBM and AWS partnership

IBM Big Data Hub

We are in the midst of an AI revolution where organizations are seeking to leverage data for business transformation and harness generative AI and foundation models to boost productivity, innovate, enhance customer experiences, and gain a competitive edge. Watsonx.data on AWS: Imagine having the power of data at your fingertips.

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How to accelerate time to value with predictive data quality and observability

Collibra

High-quality data drives trusted decisions. But assuring constant access to high-quality data is a challenge, especially when you want to do it comprehensively and rapidly. The Collibra Technical Solution Workbook gives step-by-step guidance on achieving high data quality with Collibra Data Quality & Observability.

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How to build a successful hybrid cloud strategy

IBM Big Data Hub

Hybrid cloud has become the IT infrastructure of choice, providing the interoperability and portability organizations need to access data where and when they need it. For instance, hybrid cloud can help accelerate generative AI for customer service.

Cloud 95
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Why You Need End-to-End Data Lineage

erwin

In a previous blog , I explained that data lineage is basically the history of data, including a data set’s origin, characteristics, quality and movement over time. This information is critical to regulatory compliance, change management and data governance not to mention delivering an optimal customer experience.

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What is data quality?

Collibra

require data auditing and reporting. Data migrations – When moving large volumes of data to the cloud or to new storage, it’s important to identify missing records, values, and broken relationships across tables or systems. As per Gartner , data quality improvement efforts tend to focus narrowly on accuracy.

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What is data quality and why is it important?

Collibra

require data auditing and reporting. Data migrations – When moving large volumes of data to the cloud or to new storage, it’s important to identify missing records, values, and broken relationships across tables or systems. As per Gartner , data quality improvement efforts tend to focus narrowly on accuracy.

IT 52
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Part 3: OMG! Not another digital transformation article! Is it about effecting risk management and change management?

ARMA International

Customer Experience Risks. Part 2 discussed customer experience (CX) as a CSF for DT. This means engaging customers and turning them into repeat customers. The Proof of Concept (PoC) can help inform the approach to develop the data migration strategy.