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IT carbon footprint: Dynatrace Carbon Impact and Optimization app helps organizations measure cloud computing carbon footprint

Dynatrace

The cloud now has a greater carbon footprint than the airline industry,” wrote anthropologist Steven Gonzalez Monserrate in a 2022 article from MIT. “A The growing adoption of innovations like generative AI, based on large-language models (LLMs), will only increase demand for cloud computing.  That’s why we developed Carbon Impact.

Energy 230
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Introducing Dynatrace built-in data observability on Davis AI and Grail

Dynatrace

The rise of data observability in DevOps Data forms the foundation of decision-making processes in companies across the globe. Data is the foundation upon which strategies are built, directions are chosen, and innovations are pursued. Use of Dynatrace Notebook to track when a flight status table was last updated.

DevOps 192
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The Agile Manager

Not to mention, the acceleration of innovation - a WSJ article recently cited a McKinsey study that had suggested 10 years of innovation was compressed into a 3 month window - has created opportunities that were not practical just a year ago. Oracle provides the cloud infrastructure that Zoom operates on.

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As-Salaam-Alaikum: The cloud arrives in the Middle East!

All Things Distributed

Today, I am excited to announce plans for Amazon Web Services (AWS) to bring an infrastructure Region to the Middle East! This move is another milestone in our global expansion and mission to bring flexible, scalable, and secure cloud computing infrastructure to organizations around the world.

Cloud 152
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Real-Time Digital Twins Can Help Expedite Vaccine Distribution

ScaleOut Software

Getting the COVID-19 crisis under control requires that we put in place an effective process for vaccine distribution so that the country can get to herd immunity as fast as possible. Agile In-Memory Software Can Track the Dynamic Rollout of Vaccine Distribution and Delivery to Quickly Spot Problems.

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AI for everyone - How companies can benefit from the advance of machine learning

All Things Distributed

And thirdly, an "algorithmic revolution" has taken place, meaning it is now possible to train trillions of algorithms simultaneously, making the whole machine learning process much faster. We know that innovative technologies always take off whenever barriers to entry fall for market participants. More room for optimism.