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The digital mechanics that drive BMW’s latest rollout

CIO Business Intelligence

As the use of virtualisation, AI, and data science increased in 2020, BMW devised the iFactory, a breakthrough concept that networks every aspect of automotive production with 3D scanning of all vehicles and engine plants. Now, BMW aims to achieve new levels of efficiency by focusing on comprehensive digitalization.

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ADIB-Egypt announces 1 billion EGP digital transformation plan

CIO Business Intelligence

ADIB-Egypt has announced plans to invest 1 billion EGP in technological infrastructure and digital transformation by 2025. This ambitious initiative is poised to position ADIB-Egypt at the forefront of the digital banking revolution, transforming how customers interact with their financial services.

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How IT leaders use agentic AI for business workflows

CIO Business Intelligence

And executives see a high potential in streamlining the sales funnel, real-time data analysis, personalized customer experience, employee onboarding, incident resolution, fraud detection, financial compliance, and supply chain optimization. Another area is democratizing data analysis and reporting.

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Accelerate analytics and AI innovation with the next generation of Amazon SageMaker

AWS Big Data

At AWS re:Invent 2024, we announced the next generation of Amazon SageMaker , the center for all your data, analytics, and AI. It enables teams to securely find, prepare, and collaborate on data assets and build analytics and AI applications through a single experience, accelerating the path from data to value.

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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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The DataOps Vendor Landscape, 2021

DataKitchen

This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. Companies that implement DataOps find that they are able to reduce cycle times from weeks (or months) to days, virtually eliminate data errors, increase collaboration, and dramatically improve productivity.

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The AI-native generation is here. Don’t get left behind

CIO Business Intelligence

These humans grow up with voice-activated virtual assistants, personalized digital experiences and countless automated content-creation tools at their fingertips. What does the process look like for an organization to transform into an AI-native company? Different use cases demand different data, models and architectures.

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