Remove data-ethics-competitive-advantage
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AI Product Management After Deployment

O'Reilly on Data

From a technical perspective, it is entirely possible for ML systems to function on wildly different data. For example, you can ask an ML model to make an inference on data taken from a distribution very different from what it was trained on—but that, of course, results in unpredictable and often undesired performance. I/O validation.

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Getting Started With Incremental Sales – Best Practices & Examples

datapine

To put our definition into a real-world perspective, here’s a hypothetical incremental sales example we’ve created for reference: A green clothing retailer typically sells $14,000 worth of ethical sweaters per month without investing in advertising. Your Chance: Want to boost your incremental sales using data?

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Generative AI as a catalyst for change in the telecommunications industry

IBM Big Data Hub

Through live data analysis and predictive forecasting, AI tools can help employees working in network operations centers and network engineers to mitigate congestion and downtime. CSPs can take advantage of watsonx.ai AI relies on data, but many organizations still operate various siloed repositories.

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Did Big Data Deliver Business Transformation & Improved CX?

Alation

It’s been one decade since the “ Big Data Era ” began (and to much acclaim!). Analysts asked, What if we could manage massive volumes and varieties of data? Yet the question remains: How much value have organizations derived from big data? Big Data as an Enabler of Digital Transformation.

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Generative AI in the Enterprise

O'Reilly on Data

AI users say that AI programming (66%) and data analysis (59%) are the most needed skills. Given the cost of equipping a data center with high-end GPUs, they probably won’t attempt to build their own infrastructure. Few nonusers (2%) report that lack of data or data quality is an issue, and only 1.3%

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The Ethics of Data Exchange

Cloudera

One of the main reasons for the accelerated development was the quick exchange of data between academia, healthcare institutions, government agencies, and nonprofit entities. Without committing to openly shared data, the New York Times asserted in February 2021, coronavirus vaccines would have taken much longer to develop.

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Make data protection a 2023 competitive differentiator

IBM Big Data Hub

Data privacy regulations, such as the General Data Protection Regulation (GDPR) in the European Union or the California Consumer Privacy Act (CCPA) in the state of California, are inescapable. The key to differentiation comes in getting data protection right, as part of an overall data strategy.