Remove Business Objectives Remove Cost-Benefit Remove Data Architecture
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Enter the next phase of Industry 4.0 with edge AI

CIO Business Intelligence

What companies need to do in order to cope with future challenges is adapt quickly: slim down and become more agile, be more innovative, become more cost-effective, yet be secure in IT terms. All kinds of things can be automated The question is, how should businesses go about modernising their own applications effectively?

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CDOs: Your AI is smart, but your ESG is dumb. Here’s how to fix it

CIO Business Intelligence

While energy savings and waste reduction efforts may provide tangible cost benefits, the long-term reputational and regulatory advantages of ESG alignment are harder to measure. Demonstrate business value : Frame sustainability initiatives as cost-saving measures that enhance operational efficiency.

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Data architecture strategy for data quality

IBM Big Data Hub

Several factors determine the quality of your enterprise data like accuracy, completeness, consistency, to name a few. But there’s another factor of data quality that doesn’t get the recognition it deserves: your data architecture. How the right data architecture improves data quality.

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Belcorp reimagines R&D with AI

CIO Business Intelligence

The initial stage involved establishing the data architecture, which provided the ability to handle the data more effectively and systematically. “We The team leaned on data scientists and bio scientists for expert support. Building the AI Innovation Lab Platform Belcorp developed the platform in two primary stages.

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6 strategic imperatives for your next data strategy

CIO Business Intelligence

According to the MIT Technology Review Insights Survey, an enterprise data strategy supports vital business objectives including expanding sales, improving operational efficiency, and reducing time to market. The problem is today, just 13% of organizations excel at delivering on their data strategy.

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How Mapfre gets cloud to coexist with its tech model ambitions

CIO Business Intelligence

We internally analyzed the improvements we had to provide and, together with the CIOs in all the countries where Mapfre operates, we defined a very solid strategy that aligns with the business objectives, and we’re implementing that now. So in the data part, we’ve grown with technologies that weren’t convergent.

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Unlock scalability, cost-efficiency, and faster insights with large-scale data migration to Amazon Redshift

AWS Big Data

These challenges can range from ensuring data quality and integrity during the migration process to addressing technical complexities related to data transformation, schema mapping, performance, and compatibility issues between the source and target data warehouses.