Remove 2021 Remove Deep Learning Remove Machine Learning Remove Testing
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The DataOps Vendor Landscape, 2021

DataKitchen

Download the 2021 DataOps Vendor Landscape here. DataOps is a hot topic in 2021. Testing and Data Observability. We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. .

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The benefits of AI in healthcare

IBM Big Data Hub

According to Statista , the artificial intelligence (AI) healthcare market, valued at $11 billion in 2021, is projected to be worth $187 billion in 2030. One use case example is out of the University of Hawaii, where a research team found that deploying deep learning AI technology can improve breast cancer risk prediction.

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10 tips for getting started with decision intelligence

CIO Business Intelligence

For organizations looking to move beyond stale reports, decision intelligence holds promise, giving them the ability to process large amounts of data with a sophisticated mix of tools such as artificial intelligence and machine learning to transform data dashboards and business analytics into more comprehensive decision support platforms.

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Explaining black-box models using attribute importance, PDPs, and LIME

Domino Data Lab

The interest in interpretation of machine learning has been rapidly accelerating in the last decade. This can be attributed to the popularity that machine learning algorithms, and more specifically deep learning, has been gaining in various domains. Methods for explaining Deep Learning.

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Using AI for Technology Industry Solutions – Why AI is the New Internet

bridgei2i

The use of AI for technology industry solutions in 2021 is similar to using the internet for commercial or economic purposes in the early 90s. Machine Learning: Since intelligence without learning isn’t intelligence, this subset of AI focuses on parsing data and modifying itself without human effort.

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Ecco come i CIO possono proteggere le informazioni di identificazione personale

CIO Business Intelligence

Una nuova classe I data scientist che si occupano di machine learning necessitano di grandi quantità di dati per addestrare i modelli di apprendimento automatico, i quali diventano poi, a loro volta, consumatori di grandi quantità di dati per fornire informazioni utili alle decisioni aziendali.

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7 famous analytics and AI disasters

CIO Business Intelligence

And 20% of IT leaders say machine learning/artificial intelligence will drive the most IT investment. Insights gained from analytics and actions driven by machine learning algorithms can give organizations a competitive advantage, but mistakes can be costly in terms of reputation, revenue, or even lives.

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