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Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

Other challenges include communicating results to non-technical stakeholders, ensuring data security, enabling efficient collaboration between data scientists and data engineers, and determining appropriate key performance indicator (KPI) metrics.

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Building cars in a changing world: Audi’s Integrated Approach with IBM Planning Analytics

IBM Big Data Hub

Audi, a renowned German automobile manufacturer, stands proudly as a symbol of luxury, performance and cutting-edge automotive technology. The search for a comprehensive solution for a complex process As a manufacturing organization, they faced numerous challenges in their contemporary setting.

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Part 1: OMG! Not another digital transformation article! Is it about understanding the business drivers?

ARMA International

Communication technologies have continued to change societies and human interaction. DRM is used by publishers, manufacturers and IP owners for digital content and device monitoring” (Techopedia 2021). Consequently, data operations (DataOps) has come to the forefront to help organizations gain insight from their data and act.

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From U2F to passkeys

Imperial Violet

Since we don’t want that, the same attestation certificate is used in many security keys and manufacturers are supposed to use the same certificate for batches of at least 100,000 security keys. User verification was done by entering a PIN on the computer and there’s some communication about that (which we won’t go into).