Remove Artificial Intelligence Remove Infrastructure Remove Innovation Remove Media
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To understand the risks posed by AI, follow the money

O'Reilly

Time and again, leading scientists, technologists, and philosophers have made spectacularly terrible guesses about the direction of innovation. We’ll see more innovation if emerging AI tools are accessible to everyone, such that a dispersed ecosystem of new firms, start-ups, and AI tools can arise.

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'Paris s'éveille'! Introducing the AWS EU (Paris) Region

All Things Distributed

Today, I'm happy to announce that the AWS EU (Paris) Region, our 18th technology infrastructure Region globally, is now generally available for use by customers worldwide. The cloud is an opportunity to stay competitive in each of these domains by giving companies freedom to innovate quickly.

AWS 112
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Why growing AI adoption requires an AI observability strategy

Dynatrace

As organizations turn to artificial intelligence for operational efficiency and product innovation in multicloud environments, they have to balance the benefits with skyrocketing costs associated with AI. Growing AI adoption has ushered in a new reality. AI requires more compute and storage. What is AI observability?

Strategy 220
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Rethinking the 'production' of data

All Things Distributed

Developments like cloud computing, the internet of things, artificial intelligence, and machine learning are proving that IT has (again) become a strategic business driver. Marketers use big data and artificial intelligence to find out more about the future needs of their customers.

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Expanding the AWS Cloud: Introducing the AWS Europe (London) Region

All Things Distributed

In November 2015, Amazon Web Services announced that it would launch a new AWS infrastructure region in the United Kingdom. Today, I'm happy to announce that the AWS Europe (London) Region, our 16th technology infrastructure region globally, is now generally available for use by customers worldwide.

AWS 166
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What is APM?

Dynatrace

Every day, customers use apps to shop, stream TV shows and movies, connect to social media, manage finances, and work. Automatic discovery and mapping of application and its infrastructure components to maintain real-time awareness in dynamic environments. Improved infrastructure utilization. Increased time spent on innovation.

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The Future in Visual Computing: Research Challenges

ACM Sigarch

As a result of these different types of usages, a number of interesting research challenges have emerged in the domain of visual computing and artificial intelligence (AI). Optimize media content for quality and/or bandwidth. Orchestrate the processing flow across an end-to-end infrastructure.