Dynatrace

DECEMBER 13, 2024

Consider these examples: A logistics company could leverage preventive observability to identify potential bottlenecks in supply chains and reroute shipments before delays occur. In healthcare , observability could predict system slowdowns during critical periods, ensuring seamless patient care.

Energy 241

Energy Logistics Healthcare Retail 241

DZone

OCTOBER 4, 2023

Time-series forecasting is essential in various domains, such as finance, healthcare, and logistics. Traditional statistical methods like ARIMA and exponential smoothing have served us well but have limitations in capturing complex non-linear relationships in data.

Network 173

Network Logistics Healthcare 173

All Things Distributed

JANUARY 20, 2020

That's why, in 2019, they had an idea: Build a data lake that can support one of the largest logistics networks on the planet. At Amazon's scale, a miscalculated metric, like cost per unit, or delayed data can have a huge impact (think millions of dollars). The team is constantly looking for ways to get more accurate data, faster.

Big Data 192

Big Data Logistics Retail Government 192

High Scalability

JANUARY 11, 2022

He talks about the classical machine learning approach they used in the initial phases for personalizing News Feeds by using decision trees and logistic regression. FUN FACT : In this talk , Lars Backstrom, VP of Engineering @ Facebook talks about the machine learning done to create personalized news feeds for users. References.

Design 334

Design Media Storage Logistics 334

DZone

MAY 31, 2024

The opposite of Deep Work is Shallow Work, which Cal Newport defines as logistical-style tasks that can be performed while distracted, like work coordination and communication tasks that are easy to replicate. In his book, Cal Newport defines Deep Work to be the act of focusing without distraction on a cognitively demanding task.

Engineering 130

Engineering Logistics Strategy Performance 130

Dynatrace

APRIL 29, 2021

With the logistics of integrating and testing builds automated, engineers can focus on what they do best: coding. Besides the competitive advantage, CI/CD enables agile development teams to constantly iterate and release new features.

DevOps 299

DevOps Logistics Code Software 299

O'Reilly

JANUARY 11, 2022

Supply chains and business logistics will remain under stress. We’ll see new tools and platforms for dealing with supply chain and logistics issues, and they’ll likely make use of machine learning. We’ll also come to realize that, from the start, Amazon’s core competency has been logistics and supply chain management.

Logistics 136

Logistics Social Media Virtualization Strategy 136

Dynatrace

SEPTEMBER 20, 2019

As mentioned in the beginning, Dynatrace offers solutions for all regulatory and technical requirements including a completely air-gapped option when policy or logistics prevent internet access. Dynatrace Managed (Offline-Mode).

Software 180

Software Software Government Logistics 180

Dynatrace

DECEMBER 10, 2020

As you walk the journey with them, you’ll learn lessons and tweak your approach, usually building out reusable pipelines and infrastructure logistics.

Strategy 245

Strategy Performance Logistics Monitoring 245

ScaleOut Software

JANUARY 9, 2020

Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications in operational environments such as these require. The post The Next Generation in Logistics Tracking with Real-Time Digital Twins appeared first on ScaleOut Software.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications such as these require. The post The Next Generation in Logistics Tracking with Real-Time Digital Twins appeared first on ScaleOut Software.

Logistics 52

Logistics Retail Analytics Azure 52

Dynatrace

AUGUST 17, 2021

The learning curve and logistics for initial setup can be a challenge as configuring images and containers can be tricky when starting from zero. Because it does take some time to acclimate to these technologies, the benefits of microservices don’t come without cost. Complexity.

Architecture 246

Architecture Software Software Development 246

Dynatrace

AUGUST 17, 2021

The learning curve and logistics for initial setup can be a challenge as configuring images and containers can be tricky when starting from zero. Because it does take some time to acclimate to these technologies, the benefits of microservices don’t come without cost. Complexity.

Architecture 246

Architecture Software Software Development 246

ScaleOut Software

JANUARY 9, 2020

Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications in operational environments such as these require. It also shows real-time aggregate results being fed to displays for immediate consumption by operations managers.

Logistics 52

Logistics Retail Analytics Azure 52

Dynatrace

MAY 6, 2020

Despite the general industry trend towards stability, there were some isolated sites that experienced slower than average response times due to server-side issues. .

Website 278

Website Monitoring Retail Media 278

Dynatrace

JULY 8, 2019

If you’re spending the majority of your time on data center and hardware logistics, it doesn’t leave a lot of time to build better features, keep browsers updated, or satisfy your customers. Each of these factors impacted data quality, time to market, and slowed down our ability to innovate efficiently for our customers.

Cloud 203

Cloud Hardware Testing Logistics 203

CSS Wizardry

JUNE 20, 2016

Follow these tips to make the logistics of it a little simpler. Giving talks is stressful.

Logistics 100

Logistics 100

VoltDB

DECEMBER 11, 2024

Managing and storing this data locally presents logistical and cost challenges, particularly for industries like manufacturing, healthcare, and autonomous vehicles. Data Overload and Storage Limitations As IoT and especially industrial IoT -based devices proliferate, the volume of data generated at the edge has skyrocketed.

IoT 52

IoT Energy Logistics Latency 52

All Things Distributed

AUGUST 20, 2015

Another example is for tracking inventory in a vast logistics system, where only a subset of its locations is relevant for a specific item. This requires a database that can quickly traverse the logistics history for a given item or order.

Database 119

Database Logistics Availability Social Media 119

The Netflix TechBlog

JUNE 4, 2019

Resource allocation problems can be efficiently solved through a branch of mathematics called combinatorial optimization, used for example for airline scheduling or logistics problems. The second placement looks better as each CPU is given its own L1/L2 caches, and we make better use of the two L3 caches available.

Cache 255

Cache Latency Airlines Logistics 255

VoltDB

NOVEMBER 14, 2024

Supply Chain Optimization Challenge: Managing supply chain logistics is complex, especially in industries where just-in-time inventory and rapid delivery are crucial. Any delays or disruptions can lead to increased costs and customer dissatisfaction.

Energy 52

Energy Logistics Transportation Latency 52

The Netflix TechBlog

MARCH 12, 2021

We’ll also cover how our Studio Engineering efforts are helping Netflix productions to spend less time on media logistics by utilizing our cloud based services. Lights, Camera, Media!

Media 177

Media Cloud Logistics Technology 177

ScaleOut Software

JANUARY 28, 2021

We are faced with quickly building a nationwide logistics network and standing up well more than 50,000 vaccination centers. 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. Summing Up.

Logistics 84

Logistics Airlines Ecommerce Scalability 84

O'Reilly Software

AUGUST 29, 2018

They’ve identified six areas where technology can make a real difference in disaster preparedness: blockchain, artificial intelligence, logistics, data science, sensor data processing, and visual recognition. See the IBM Code Patterns site for more information.

Code 80

Code Artificial Intelligence Development Blockchain 80

Simform

JANUARY 28, 2021

The cutthroat competitions and logistical challenges posed by the pandemic don't make things any easy, as well. Modern day fleet owners face a whole new range of challenges that didn't exist before. Read more to find what they are and how they can help your fleet.

Technology 52

Technology Technology Logistics Games 52

Abhishek Tiwari

JULY 7, 2023

From transportation and logistics to e-commerce and food delivery, the core operations of many successful companies can be viewed as workflow problems. For instance: (1) E-commerce companies like HelloFresh heavily rely on workflow platforms to manage order processing, inventory management, fulfillment, and delivery logistics.

Logistics 52

Logistics Transportation Scalability Data Engineering 52

All Things Distributed

MAY 3, 2017

This requires using agile development processes for continuous improvement and creating a broader portfolio of solutions, for example by increasingly connecting the shop floor with data "from the outside" such as logistics and inventory management. can connect seamlessly to the cloud.

Logistics 66

Logistics IoT Analytics Innovation 66

O'Reilly

APRIL 30, 2024

We have also invested billions in the tools and services for sellers to help them grow and additional services such as advertising and logistics are entirely optional.

Social Media 113

Social Media Artificial Intelligence Innovation Logistics 113

All Things Distributed

OCTOBER 7, 2015

In such a data intensive environment, making key business decisions such as running marketing and sales campaigns, logistic planning, financial analysis and ad targeting require deriving insights from these data. We live in a world where massive volumes of data are generated from websites, connected devices and mobile apps.

Cloud 112

Cloud Big Data AWS Analytics 112

ScaleOut Software

MAY 19, 2020

This alerts logistics managers, who can then query the digital twins to identify specific hospitals and implement a strategic response: The real-time digital twin approach creates a breakthrough for application developers that both simplifies application development and enhances introspection.

Logistics 52

Logistics IoT Analytics Azure 52

ScaleOut Software

MAY 19, 2020

This alerts logistics managers, who can then query the digital twins to identify specific hospitals and implement a strategic response: The real-time digital twin approach creates a breakthrough for application developers that both simplifies application development and enhances introspection.

Logistics 52

Logistics IoT Analytics Azure 52

ScaleOut Software

APRIL 3, 2020

What’s missing is a flexible, fast, and easy-to-use software system that can be quickly adapted to track these assets in real time and provide immediate answers for logistics managers.

Logistics 52

Logistics Analytics Scalability Cloud 52

ScaleOut Software

APRIL 3, 2020

What’s missing is a flexible, fast, and easy-to-use software system that can be quickly adapted to track these assets in real time and provide immediate answers for logistics managers.

Logistics 52

Logistics Analytics Scalability Cloud 52

O'Reilly

SEPTEMBER 23, 2019

Today’s businesses interface with vast global ecosystems of suppliers, distributors, shippers, logistics providers, strategic partners, and financers in order to deliver their products and services. However, in very basic language, b lockchains help us certify that something is true, without someone in the middle doing checks and balances.

Blockchain 78

Blockchain IoT Logistics Internet 78

The Morning Paper

AUGUST 25, 2019

Users can plug in their own heuristic models for heuristic generation, all that’s required is that the model generates heuristics that output a probabilistic label over a subset of the data.

Logistics 76

Logistics Efficiency Design Performance 76

O'Reilly

FEBRUARY 18, 2020

From pre-built libraries for linear or logistic regressions, decision trees, naïve Bayes, k-means, gradient-boosting, etc., This is consistent with what we’ve observed elsewhere : Python has acquired new relevance amid strong interest in AI and ML. Along with R , Python is one of the most-used languages for data analysis.

Software Architecture 144

Software Architecture DevOps Data Engineering Architecture 144

The Agile Manager

MARCH 31, 2022

True, energy is less a factor on most company income statements than it was fifty years ago, but logistics and distribution firms - the companies that get raw materials to producers and physical products to markets - will feel the pinch. It takes longer for production to resume than it does to shut it off.

Energy 52

Energy Logistics Traffic Mobile 52