Remove Innovation Remove Machine Learning Remove Scalability
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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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Artificial Intelligence and Machine Learning in Cloud-Native Environments

Dzone - DevOps

In our industry, few pairings have been as exciting and game-changing as the union of artificial intelligence (AI) and machine learning (ML) with cloud-native environments. It's a union designed for innovation, scalability, and yes, even cost efficiency.

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AWS recognized as a first-time Leader in the 2024 Gartner Magic Quadrant for Data Science and Machine Learning Platforms

AWS Machine Learning - AI

Over the last 18 months, AWS has announced more than twice as many machine learning (ML) and generative artificial intelligence (AI) features into general availability than the other major cloud providers combined.

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Scalable training platform with Amazon SageMaker HyperPod for innovation: a video generation case study

AWS Machine Learning - AI

Trained on the Amazon SageMaker HyperPod , Dream Machine excels in creating consistent characters, smooth motion, and dynamic camera movements. To accelerate iteration and innovation in this field, sufficient computing resources and a scalable platform are essential.

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AI and Machine Learning: Lighting the Way for Optical Advancements

CableLabs

In this blog post, we explore some of the key topics driving today’s optical industry, focusing on artificial intelligence and machine learning (AI/ML). However, the rapid development of AI computing is taking center stage and taking over the short-reach optical transceiver market, which has ignited innovation across the industry.

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Innovative data integration in 2024: Pioneering the future of data integration

CIO

Of late, innovative data integration tools are revolutionising how organisations approach data management, unlocking new opportunities for growth, efficiency, and strategic decision-making by leveraging technical advancements in Artificial Intelligence, Machine Learning, and Natural Language Processing.

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A guide to hybrid cloud deployment for innovation without disruption

CIO

The question is: how do organizations balance these preferences and requisites with the crucial need to innovate? As contact center transformation explodes– from virtual agents to biometrics to conversational AI – hybrid cloud enables organizations to chart a clear-cut path toward innovation without the disruption of throwing away what works.