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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% from 2019 to 2025, reaching up to an estimated evaluation of USD 96.7 The Machine Learning market is ever-growing, predicted to scale up at a CAGR of 43.8%

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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% from 2019 to 2025, reaching up to an estimated evaluation of USD 96.7 The Machine Learning market is ever-growing, predicted to scale up at a CAGR of 43.8%

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Henkel embraces gen AI as enabler and strategic disruptor

CIO

As Henkel CDIO Michael Nilles puts it, by 2019, Marc Andreessen’s pronouncement that “software is eating the world” had come true for the CPG sector, and Henkel was at risk of falling behind. “We This just wasn’t possible with traditional machine learning.

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Snorkel AI scores $35M Series B to automate data labeling in machine learning

TechCrunch

One of the more tedious aspects of machine learning is providing a set of labels to teach the machine learning model what it needs to know. It also announced a new tool called Application Studio that provides a way to build common machine learning applications using templates and predefined components.

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How Leading AI Startup Investors Approached Artificial Intelligence In 2023

Crunchbase News

Editor’s note: In 2023, Crunchbase News interviewed active startup investors in artificial intelligence. Repeatedly, what we heard from investors is that the immediate and massive adoption by consumers of AI tools like ChatGPT and image-generation models in the past year was a critical off-to-the-races moment for this industry.

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Arthur.ai machine learning monitoring gathers steam with $42M investment

TechCrunch

It’s widely understood that after machine learning models are deployed in production, the accuracy of the results can deteriorate over time. launched in 2019 with the goal of helping companies monitor their models to ensure they stayed true to their goals. Gow will join the board under the terms of the funding.

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Highlights from the O’Reilly Artificial Intelligence Conference in London 2019

O'Reilly Media - Data

People from across the AI world came together in London for the Artificial Intelligence Conference. Watch “ The quest for high-quality data “ Machine learning challenges at LinkedIn: Spark, TensorFlow, and beyond. Zhe Zhang provides an architectural overview of LinkedIn’s machine learning pipelines.