Energy Innovation Software Storage 
Scalegrid
FEBRUARY 8, 2024
A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. Understanding distributed storage is imperative as data volumes and the need for robust storage solutions rise.
Dynatrace
DECEMBER 5, 2023
This growth was spurred by mobile ecosystems with Android and iOS operating systems, where ARM has a unique advantage in energy efficiency while offering high performance. Legacy data center infrastructure and software support have kept all the benefits of ARM at, well… arm’s length.
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Dynatrace
JANUARY 23, 2024
AI data analysis can help development teams release software faster and at higher quality. Another key theme at Dynatrace Perform 2024 is organizations’ growing adoption of platform engineering , which helps accelerate the delivery of software applications. How can organizations use AI observability to optimize AI costs?
Dynatrace
NOVEMBER 20, 2023
The path to achieving unprecedented productivity and software innovation through ChatGPT and other generative AI – blog Paired with causal AI, organizations can increase the impact and safer use of ChatGPT and other generative AI technologies. So, what is artificial intelligence? What is predictive AI?
Tech News Gather
NOVEMBER 5, 2023
To address this, innovative solutions must be explored. Vehicles will engage in digitally-mediated economic transactions with various entities, including external sensors, communication networks, computational processors, and digital storage points present in their operating environment.
All Things Distributed
SEPTEMBER 6, 2013
In addition to its goal of reducing energy costs, Shell needed to be more agile in deploying IT services and planning for user demand. Essent – supplies customers in the Benelux region with gas, electricity, heat and energy services. Here are some great examples from different industries each with unique use cases.
The Netflix TechBlog
MARCH 14, 2023
We build creator tooling to enable these colleagues to focus their time and energy on creativity. Unfortunately, much of their energy goes into labor-intensive pre-work. In summary, this model was a tightly-coupled application-to-data architecture, where machine learning algos were mixed with the backend and UI/UX software code stack.
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