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20 Machine Learning/Artificial Intelligence Influencers To Follow In 2020

Hacker Earth Developers Blog

Machine Learning (ML) is emerging as one of the hottest fields today. The Machine Learning market is ever-growing, predicted to scale up at a CAGR of 43.8% The Machine Learning market is ever-growing, predicted to scale up at a CAGR of 43.8% billion by the end of 2025. billion by the end of 2025.

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20 Machine Learning/Artificial Intelligence Influencers To Follow In 2020

Hacker Earth Developers Blog

Machine Learning (ML) is emerging as one of the hottest fields today. The Machine Learning market is ever-growing, predicted to scale up at a CAGR of 43.8% The Machine Learning market is ever-growing, predicted to scale up at a CAGR of 43.8% billion by the end of 2025. billion by the end of 2025.

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Artificial Intelligence for Leadership decision-making

Xebia

Collective decision-making supported by artificial intelligence (AI) is the key to boosting performance. Both human and artificial intelligence play important roles. For example, in the financial industry, it’s becoming very common to support primary decision processes with machine learning or rules-based AI.

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Real-time artificial intelligence for everyone

CIO

By Chet Kapoor, Chairman & CEO of DataStax Every business needs an artificial intelligence strategy, and the market has been validating this for years. Now, we have another exciting piece of the puzzle: Kaskada, a machine-learning company that recently joined forces with DataStax. Chet earned his B.S.

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Understanding the Intersection of Executive Search and Artificial Intelligence

N2Growth Blog

The advent of Artificial Intelligence has disrupted multiple sectors, and the executive search industry is no different. The AI-geared approach in the recruitment process involves machine learning algorithms and data-driven insights to identify, sort, and evaluate potential candidates.

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Containerization and AI: Streamlining the Deployment of Machine Learning Models

Dzone - DevOps

Artificial Intelligence (AI) and Machine Learning (ML) have revolutionized the way we approach problem-solving and data analysis. However, deploying and managing ML models in production environments can be a daunting task.

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IBM’s watsonx.governance takes aim at AI auditing

CIO

IBM is betting big on its toolkit for monitoring generative AI and machine learning models, dubbed watsonx.governance , to take on rivals and position the offering as a top AI governance product, according to a senior executive at IBM. watsonx.governance is a toolkit for governing generative AI and machine learning models.