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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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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. snags $15M Series A to grow machine learning monitoring tool.

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Traceable AI nabs $60M to secure app APIs using machine learning

TechCrunch

Businesses need machine learning here. ” Like several of its competitors, including Salt, Traceable uses AI to analyze data to learn normal app behavior and detect activity that deviates from the norm. million in venture funding from late 2019 to June 2021, underlining the opportunity that investors see in the technology.

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Tecton raises $100M, proving that the MLOps market is still hot

TechCrunch

Machine learning can provide companies with a competitive advantage by using the data they’re collecting — for example, purchasing patterns — to generate predictions that power revenue-generating products (e.g. Del Balso says it’ll be used to scale Tecton’s engineering and go-to-market teams. “We

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Are you ready for MLOps? 🫵

Xebia

In 2019 alone the Data Scientist job postings on Indeed rose by 256% [2]. Both the tech and the skills are there: Machine Learning technology is by now easy to use and widely available. Data Science profiles are more abundant in the market than ever before. Big part of the reason lies in collaboration between teams.

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Why it’s so hard to market enterprise AI/ML products and what to do about it

TechCrunch

In 2019, I led the sales team and growth strategy for a venture-backed AI company called atSpoke. While there is no silver bullet, no secret AI buyer conference in Santa Barbara or ML enthusiast Reddit thread, these tips should help you structure your approach to marketing. Challenge 1: AI and ML categories are still being defined.

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