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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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Build a strong data foundation for AI-driven business growth

CIO

In the quest to reach the full potential of artificial intelligence (AI) and machine learning (ML), there’s no substitute for readily accessible, high-quality data. To fully leverage AI and analytics for achieving key business objectives and maximizing return on investment (ROI), modern data management is essential.

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From Machine Learning to AI: Simplifying the Path to Enterprise Intelligence

Cloudera

Thats why were moving from Cloudera Machine Learning to Cloudera AI. But over the years, data teams and data scientists overcame these hurdles and AI became an engine of real-world innovation. Why AI Matters More Than ML Machine learning (ML) is a crucial piece of the puzzle, but its just one piece.

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The AI Future According to Google Cloud Next ’25: My Interesting Finds

Xebia

BigFrames provides a Pythonic DataFrame and machine learning (ML) API powered by the BigQuery engine. bigframes.pandas provides a pandas-compatible API for analytics, and bigframes.ml offers a scikit-learn-like API for ML. BigFrames 2.0

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The future of data: A 5-pillar approach to modern data management

CIO

Digital transformation started creating a digital presence of everything we do in our lives, and artificial intelligence (AI) and machine learning (ML) advancements in the past decade dramatically altered the data landscape. Pillar #2: Data engineering This function is responsible for transforming raw data into curated data products.

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Enhancing customer care through deep machine learning at Travelers

CIO

s SVP and chief data & analytics officer, has a crowâ??s s unique about the [chief data officer] role is it sits at the cross-section of data, technology, and analytics,â?? On the role of the Chief Data Officer: Due to the nature of our business, Travelers has always used data analytics to assess and price risk.