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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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5 machine learning essentials nontechnical leaders need to understand

TechCrunch

We’re living in a phenomenal moment for machine learning (ML), what Sonali Sambhus , head of developer and ML platform at Square, describes as “the democratization of ML.” Consider upskilling your current team of software engineers into data/ML engineers or hire promising candidates and provide them with an ML education.

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How AI can alleviate help desk workloads

CIO

Educate and train help desk analysts. But that rarely filters down to the help desk analysts taking end user calls.” “High quality documentation results in high quality data, which both human and artificial intelligence can exploit.” Ivanti’s service automation offerings have incorporated AI and machine learning.

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Scaling AI talent: An AI apprenticeship model that works

CIO

The hunch was that there were a lot of Singaporeans out there learning about data science, AI, machine learning and Python on their own. Because a lot of Singaporeans and locals have been learning AI, machine learning, and Python on their own. I needed the ratio to be the other way around! And why that role?

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Saudi Arabia’s cybersecurity strategy: Building a resilient digital future

CIO

The Kingdom has committed significant resources to developing a robust cybersecurity ecosystem, encompassing threat detection systems, incident response frameworks, and cutting-edge defense mechanisms powered by artificial intelligence and machine learning.

Strategy 158
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Applications of Artificial Intelligence (AI) in business

Hacker Earth Developers Blog

Businesses that use Artificial Intelligence (AI) and related technology to reveal new insights “will steal $1.2 Improvement in machine learning (ML) algorithms—due to the availability of large amounts of data. The post Applications of Artificial Intelligence (AI) in business appeared first on HackerEarth Blog.