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Unlocking AI: Machine learning as a service

CIO

This meant that it was relatively easy for it to be analyzed using simple business intelligence (BI) tools. Much of the data that organizations are mining is unstructured or semi-structured, and the trend is growing such that more than 80% of corporate data is expected to be unstructured by 2020 [1]. Today, this is no longer the case.

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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% Consequently, there has been a significant increase in the number of Machine Learning enthusiasts across the globe. 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% Consequently, there has been a significant increase in the number of Machine Learning enthusiasts across the globe. billion by the end of 2025.

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The Future of Machine Learning in Cybersecurity

CIO

Machine learning (ML) is a commonly used term across nearly every sector of IT today. This article will share reasons why ML has risen to such importance in cybersecurity, share some of the challenges of this particular application of the technology and describe the future that machine learning enables.

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Machine Learning for Builders: Tools, Trends, and Truths

Speaker: Rob De Feo, Startup Advocate at Amazon Web Services

Machine learning techniques are being applied to every industry, leveraging an increasing amount of data and ever faster compute. But that doesn’t mean machine learning techniques are a perfect fit for every situation (yet). Where machine learning is a perfect fit to drive your business, and where it has further to go.

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Article: Software Testing, Artificial Intelligence and Machine Learning Trends in 2023

InfoQ Culture Methods

Technology has taken significant leaps within the last few years, introducing advancements that have taken us further into the digital age — impacting the software testing industry and we're seeing advances in machine learning, artificial intelligence, and the neural networks making them possible. By Adam Sandman

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Swiss energy services company uses machine learning to see the future

CIO

The new installations shifted the consumption trend, resulting in a higher network load, impacting electric utility company distribution grids. The new platform would alleviate this dilemma by using machine learning (ML) algorithms, along with source data accessed by SAP’s Data Warehouse Cloud. Artificial Intelligence

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Future Focus: Constructing Unshakeable Stability in Your Manufacturing Supply Chain

Speaker: Jay Black, Senior Account Executive

We’ve all heard the buzzwords to describe new supply chain trends: resiliency, sustainability, AI, machine learning. Over the past few years, manufacturing has had to adapt to and overcome a wide variety of supply chain trends and disruptions to stay as stable as possible. But what do these really mean today?