DZone

AUGUST 23, 2023

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

IoT Energy Open Source Analytics 241

Dynatrace

FEBRUARY 16, 2023

McKinsey summarizes the importance of this focus: “Every company uses energy and resources; every company affects and is affected by the environment.” More importantly, these tools are fundamentally backward-looking, lacking both the time and dimensional granularity required for carbon-emission analytics and optimization insights.

Energy 260

Energy Airlines Analytics Transportation 260

Dynatrace

NOVEMBER 20, 2023

The first goal is to demonstrate how generative AI can bring key business value and efficiency for organizations. While technologies have enabled new productivity and efficiencies, customer expectations have grown exponentially, cyberthreat risks continue to mount, and the pace of business has sped up. What is predictive AI?

AWS 277

AWS Artificial Intelligence Cloud Analytics 277

Dynatrace

NOVEMBER 6, 2023

This massive migration is critical to organizations’ digital transformation , placing cloud technology front and center and elevating the need for greater visibility, efficiency, and scalability delivered by a unified observability and security platform. Watch our on-demand session, Embracing Efficiency in the Cloud with Azure and Dynatrace.

Azure 244

Azure Technology Technology Cloud 244

Dynatrace

SEPTEMBER 13, 2023

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.

AWS 305

AWS Efficiency Azure Cloud 305

VoltDB

NOVEMBER 20, 2024

Advances in the Industrial Internet of Things (IIoT) and edge computing have rapidly reshaped the manufacturing landscape, creating more efficient, data-driven, and interconnected factories. The Need for Real-Time Analytics and Automation With increasing complexity in manufacturing operations, real-time decision-making is essential.

IoT 52

IoT Energy Latency Automotive 52

Dynatrace

JANUARY 23, 2024

AI-enabled chatbots can help service teams triage customer issues more efficiently. Deriving business value with AI, IT automation, and data reliability When it comes to increasing business efficiency, boosting productivity, and speeding innovation, artificial intelligence takes center stage. What is explainable AI?

Performance 246

Performance DevOps Innovation Energy 246

Dynatrace

MAY 13, 2020

Dynatrace’s Software Intelligence Platform includes multiple modules, underpinned by a common data platform, and offers users APM, AIOps, infrastructure monitoring spanning logs and metrics, digital business analytics and digital experience monitoring capabilities.

Innovation 211

Innovation Energy Analytics Monitoring 211

All Things Distributed

MARCH 11, 2015

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 107

Analytics Cloud Healthcare Retail 107

VoltDB

OCTOBER 30, 2024

By conducting routine tasks on machinery and infrastructure, organizations can avoid costly breakdowns and maintain operational efficiency. As industries adopt these technologies, preventive maintenance is evolving to support smarter, data-driven decision-making, ultimately boosting efficiency, safety, and cost savings.

Automotive 52

Automotive IoT Artificial Intelligence Energy 52

All Things Distributed

APRIL 13, 2023

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 121

Energy AWS Analytics Speed 121

Dynatrace

JANUARY 31, 2024

Bringing together metrics, logs, traces, problem analytics, and root-cause information in dashboards and notebooks, Dynatrace offers an end-to-end unified operational view of cloud applications. But energy consumption isn’t limited to training models—their usage contributes significantly more.

Cache 276

Cache Azure Infrastructure Monitoring 276

Dynatrace

NOVEMBER 24, 2022

When the world experiences tougher times, we see organizations turn to technology to gain efficiencies, to transform through digitization and automation. And to put that more simply, it’s all about doing more with less,” Michael said. Then, we look at the user’s expectations – they’ve gone through the roof.

Innovation 237

Innovation Virtualization Programming Cloud 237

Dynatrace

NOVEMBER 5, 2023

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

Azure Artificial Intelligence Innovation Strategy 130

Scalegrid

FEBRUARY 8, 2024

Key Takeaways Distributed storage systems benefit organizations by enhancing data availability, fault tolerance, and system scalability, leading to cost savings from reduced hardware needs, energy consumption, and personnel. This strategy reduces the volume needed during retrieval operations.

Storage 130

Storage Systems Big Data Azure 130

All Things Distributed

DECEMBER 13, 2016

UK companies are using AWS to innovate across diverse industries, such as energy, manufacturing, medicaments, retail, media, and financial services and the UK is home to some of the world's most forward-thinking businesses. All around us we see that the AWS capabilities foster a culture of experimentation with businesses of all sizes.

AWS 154

AWS Cloud Artificial Intelligence IoT 154

Smashing Magazine

JANUARY 15, 2019

But as it stands, websites are growing ever more obese, which means that the energy demand of the Internet is continuing to grow exponentially. The Green Web Foundation maintains an ever-growing database of web hosts who are either wholly powered by renewable energy or are at least committed to being carbon neutral.

Website Performance 78

Website Performance Website Energy Performance 78

Testsigma

MARCH 12, 2021

RPA removes redundancy in the process and performs repetitive business tasks in order to achieve efficient and time-saving performance. The RPA boasts the following benefits: Efficient Results : RPA bots and processes are highly efficient in performing their tasks. Benefits of RPA. They take less time and wrap things up quickly.

Artificial Intelligence 97

Artificial Intelligence Testing Energy Analytics 97

VoltDB

JUNE 26, 2024

Smart manufacturers are always looking for ways to decrease operating expenses, increase overall efficiency, reduce downtime, and maximize production. Using real-time streaming data and analytics, manufacturers can optimize workflows in the moment, reducing bottlenecks and minimizing downtime.

IoT 52

IoT Analytics Artificial Intelligence Energy 52

Adrian Cockcroft

FEBRUARY 13, 2023

The keynotes didn’t feature anything new on carbon, just re-iterated the existing path to 100% green energy by 2025. We also may choose to support these grids through the purchase of environmental attributes, like Renewable Energy Certificates and Guarantees of Origin, in line with our Renewable Energy Methodology.

AWS 64

AWS Energy Architecture Programming 64

Highly Scalable

MARCH 10, 2015

most of them are structured as data scientist manuals focusing on algorithms and methodologies and assume that human decisions play a central role in transforming analytical findings into business actions. This framework will later be used to describe analytical problems in a more uniform way. Multiple objectives.

Retail 152

Retail C++ Analytics Metrics 152

Dean Hume

APRIL 24, 2018

Using service workers can actually reduce the amount of energy that users that visit your website consume. but now that you are here, read on and hopefully I can at least convince you that service workers can make a (little bit) difference to energy consumption! Fewer HTTP requests mean less CPU usage and less energy consumed.

Energy 40

Energy Cache Traffic Website 40

Dean Hume

APRIL 24, 2018

Using service workers can actually reduce the amount of energy that users that visit your website consume. but now that you are here, read on and hopefully I can at least convince you that service workers can make a (little bit) difference to energy consumption! Fewer HTTP requests mean less CPU usage and less energy consumed.

Energy 40

Energy Cache Traffic Website 40

Dean Hume

APRIL 24, 2018

Using service workers can actually reduce the amount of energy that users that visit your website consume. but now that you are here, read on and hopefully I can at least convince you that service workers can make a (little bit) difference to energy consumption! Fewer HTTP requests mean less CPU usage and less energy consumed.

Energy 40

Energy Cache Traffic Website 40

VoltDB

APRIL 25, 2024

With reduced congestion and latency, users experience faster, more reliable connectivity — even as they move outside across a corporate campus — which enhances efficiency and productivity within an organization while improving user experiences for customer-facing applications.

Network 52

Network IoT Wireless Infrastructure 52

O'Reilly Software

OCTOBER 23, 2018

Entropy" refers to the second law of thermodynamics, which roughly states that systems over time will degrade into an increasingly chaotic state, such that the amount of energy in the system available for work is diminished. The architect defines standards, conventions, and tool sets for teams to use.

Strategy 100

Strategy Architecture Technology Technology 100

Tasktop

SEPTEMBER 19, 2019

It recommends 5 simple to understand yet powerful metrics – Flow Velocity, Flow Load, Flow Time, Flow Efficiency and Flow Load that can be applied to these 4 groups of work and relate them back to business metrics of Value, Cost, Quality and Happiness. Learn more.

DevOps 45

DevOps Metrics Energy Processing 45

CSS - Tricks

MARCH 29, 2021

These tools are something that the regular audit doesn’t imply, but I find it essential to understand if the CSS code is performant and doesn’t drain a device’s energy. DevTools might not be considered a classical auditing tool, but it helps us understand which CSS features are used, the efficiency of the code, and how it performs?—?all

Code 111

Code Media Cache Energy 111

The Agile Manager

JUNE 30, 2019

But transportation creates a lot of other problems such as energy consumption and pollution, so cars are regulated for their safety equipment, the types and quantities of energy they use, and the amount of pollution they generate. In this way, government can get its citizenry mobile with fewer negative consequences.

Transportation 40

Transportation Government Automotive Media 40

Dynatrace

SEPTEMBER 27, 2024

For Carbon Impact, these business events come from an automation workflow that translates host utilization metrics into energy consumption in watt hours (Wh) and into greenhouse gas emissions in carbon dioxide equivalent (CO2e). Energy consumption is then translated to CO2e based on host geolocation.

Energy 246

Energy Infrastructure Cloud Best Practices 246

The Netflix TechBlog

JANUARY 6, 2025

This article is the last in a multi-part series sharing a breadth of Analytics Engineering work at Netflix, recently presented as part of our annual internal Analytics Engineering conference. Good design doesnt waste time or mental energy; instead, it helps the user achieve theirgoals. Need to catch up?

Analytics 202

Analytics Engineering Cache Entertainment 202

Adrian Cockcroft

NOVEMBER 18, 2024

ENU101 | Achieving dynamic power grid operations with AWS Reducing carbon emissions requires shifting to renewable energy, increasing electrification, and operating a more dynamic power grid. In this session, hear from AWS energy experts on the role of cloud technologies in fusion.

AWS 98

AWS Energy Lambda Government 98

VoltDB

OCTOBER 17, 2024

Efficient supply chain management is crucial for minimizing production costs and meeting delivery schedules. Production Optimization Optimizing production processes is essential for improving efficiency and reducing costs. Improve energy efficiency: Optimizing energy usage is a key aspect of cost management.

Automotive 52

Automotive IoT Energy Artificial Intelligence 52

Smashing Magazine

OCTOBER 11, 2022

For example, changing our database architecture to be more efficient could save on server costs. There are many ways we can reduce the environmental impact of the websites and digital products we build, from reducing and optimizing our images, to minimizing the amount to data we transfer, to implementing a low-energy color scheme.

Strategy 134

Strategy Development Energy Website 134