Remove tags math
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How AI is helping the NFL improve player safety

CIO Business Intelligence

The platform draws data from the players’ RFID tags, 38 5K optical tracking cameras placed around the field capturing 60 frames per second, as well as other data such as weather, equipment, and play type to build a complete view of players’ experiences. “We Tell me what you know instinctively and let’s put math to it.

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What Is ‘Equity As Code,’ And How Can It Eliminate AI Bias?

DataKitchen

ML models are being used to aid disease diagnosis like detecting cancer cells, tag photographs in social media, understand speech, identify credit card fraud, increase customer engagement with movie/TV recommendations on video streaming services and much more.

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Using Business Intelligence in Demand Forecasting

Jet Global

If there is anything wrong with the data you use, the math and how you implement it will result in underestimated or overestimated demand – leaving you with a bunch of unhappy customers or a surplus of product. BI software is built to collect, unify, sort, tag, analyze, and report on vast amounts of data.

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How to tackle a real-world problem with GuidedLDA

Insight

Part of Speech (POS) Tagging After LDA, I decided to tag the part of speech (POS) for each reflection and extract the verbs. I parsed the reflection and extracted all of the verbs used in the reflections via POS tagging. Langdetect is pretty accurate when the input is a sentence, but less so when entering just a word.

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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

While cost wasn’t the primary driver, it reflects a growing belief that the value generated by gen AI outweighs the price tag. Example: A student is struggling with a complex math concept. This approach also serves to tailor solutions to specific use cases, avoid vendor lock-in and capitalize on rapid advancement in the field.

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Using Business Intelligence in Demand Forecasting

Jet Global

If there is anything wrong with the data you use, the math and how you implement it will result in underestimated or overestimated demand – leaving you with a bunch of unhappy customers or a surplus of product. BI software is built to collect, unify, sort, tag, analyze, and report on vast amounts of data.

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What is a Data Catalog? (and How to Build and Use One)

Octopai

Topic tags (e.g. With all that metadata for each asset… do the math – did we mention the metadata keeps updating constantly? User ratings, managed annotations, tags, sensitivity of data, and responsibilities are all important components of effective evaluation. Responsible parties (e.g. owner, steward, SME).