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The power of remote engine execution for ETL/ELT data pipelines

IBM Journey to AI blog

According to International Data Corporation (IDC), stored data is set to increase by 250% by 2025 , with data rapidly propagating on-premises and across clouds, applications and locations with compromised quality. This situation will exacerbate data silos, increase costs and complicate the governance of AI and data workloads.

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Data Integration for AI: Top Use Cases and Steps for Success

Precisely

Thats where data integration comes in. Data integration breaks down data silos by giving users self-service access to enterprise data, which ensures your AI initiatives are fueled by complete, relevant, and timely information. Assessing potential challenges , like resource constraints or existing data silos.

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Supercharge your data strategy: Integrate and innovate today leveraging data integration

IBM Journey to AI blog

Leaders feel the pressure to infuse their processes with artificial intelligence (AI) and are looking for ways to harness the insights in their data platforms to fuel this movement. Indeed, IDC has predicted that by the end of 2024, 65% of CIOs will face pressure to adopt digital tech , such as generative AI and deep analytics.

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Data Fabric and Address Verification Interface

IBM Data Science in Practice

As organizations steer their business strategies to become data-driven decision-making organizations, data and analytics are more crucial than ever before. How can organizations get a holistic view of data when it’s distributed across data silos? Implementing a data fabric architecture is the answer.

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How to Build ETL Data Pipeline in ML

The MLOps Blog

We also discuss different types of ETL pipelines for ML use cases and provide real-world examples of their use to help data engineers choose the right one. What is an ETL data pipeline in ML? Moreover, ETL pipelines play a crucial role in breaking down data silos and establishing a single source of truth.

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Mastering healthcare data governance with data lineage

IBM Journey to AI blog

How can a healthcare provider improve its data governance strategy, especially considering the ripple effect of small changes? Data lineage can help.With data lineage, your team establishes a strong data governance strategy, enabling them to gain full control of your healthcare data pipeline.

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A Look Inside the Modern Analytics Stack

Dataversity

In the data-driven world we live in today, the field of analytics has become increasingly important to remain competitive in business. In fact, a study by McKinsey Global Institute shows that data-driven organizations are 23 times more likely to outperform competitors in customer acquisition and nine times […].