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Application security fuels secure digital transformation for a global energy leader

Dynatrace

Vulnerabilities for critical systems A global leader in the energy space found itself asking this very question. These services were critical and, among other things, sent and received communications from the machinery responsible for delivering sources of energy that keep the lights on for millions of people.

Energy 192
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Visualizing IoT Data With MQTT, QuestDB, and Grafana

DZone

Monitoring Time-Series IoT Device Data Time-series data is crucial for IoT device monitoring and data visualization in industries such as agriculture, renewable energy, and meteorology. It enables trend analysis, anomaly detection, and predictive analytics, empowering businesses to optimize performance and make data-driven decisions.

IoT 241
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Sustainable IT: Optimize your hybrid-cloud carbon footprint

Dynatrace

If you’re running your own data center, you can start powering it with green energy purchased through your utility company. The complication with this approach is that your energy bill will likely increase. Next, we consider possible energy savings in the data center. So you’ll have to look elsewhere for energy savings!”

Cloud 208
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An introduction to generative AI with Swami Sivasubramanian

All Things Distributed

The VP of database, analytics and machine learning services at AWS, Swami Sivasubramanian, walks me through the broad landscape of generative AI, what we’re doing at Amazon to make large language and foundation models more accessible, and how custom silicon can help to bring down costs, speed up training, and increase energy efficiency for our customers. (..)

Energy 162
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Microsoft Ignite 2023 guide: AI transformation and Microsoft Azure

Dynatrace

Latest Dynatrace platform innovations available to customers on Microsoft Azure – press release Learn how Dynatrace empowers teams across organizations to collaborate, create, and share AI-driven analytics, apps, and automations for any business, development, security, or operations use case.

Azure 130
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Dynatrace Perform 2024 Guide: Deriving business value from AI data analysis

Dynatrace

As organizations adopt large language models and generative AI technologies to accelerate efficiency, they introduce yet another dimension of complexity—including security and energy consumption concerns—that needs monitoring. And the ability to easily create custom apps enables teams to do any analytics at any time for any use case.

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Observations on the Importance of Cloud-based Analytics

All Things Distributed

AWS is enabling innovations in areas such as healthcare, automotive, life sciences, retail, media, energy, robotics that it is mind boggling and humbling. Many of these innovations will have a significant analytics component or may even be completely driven by it. Cloud analytics are everywhere.

Analytics 136