Dynatrace

OCTOBER 1, 2021

Observability is also a critical capability of artificial intelligence for IT operations (AIOps). Observability addresses this common issue of “unknown unknowns,” enabling you to continuously and automatically understand new types of problems as they arise.

Metrics 363

Metrics Open Source Monitoring Cloud 363

Scalegrid

JANUARY 21, 2025

Identifying key Redis metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring. To monitor Redis instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold. It is important to understand these challenges properly to find solutions for them.

Strategy 130

Strategy Monitoring Latency DevOps 130

Scalegrid

DECEMBER 21, 2023

Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring. To monitor Redis® instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold. It is important to understand these challenges properly to find solutions for them.

Strategy 130

Strategy Monitoring Latency DevOps 130

VoltDB

OCTOBER 30, 2024

Companies now leverage AI algorithms to analyze large data sets from connected machinery, detecting patterns that signal wear or impending failures.

Automotive 52

Automotive IoT Artificial Intelligence Energy 52

Scalegrid

MARCH 14, 2024

Workloads from web content, big data analytics, and artificial intelligence stand out as particularly well-suited for hybrid cloud infrastructure owing to their fluctuating computational needs and scalability demands.

Strategy 130

Strategy Cloud Infrastructure Artificial Intelligence 130

O'Reilly

FEBRUARY 18, 2025

Were experiencing high latency in responses. Distillation Making a smaller, faster model from a big one It lets you use cheaper, faster models with less delay (latency). Latency The time delay in getting a response Lower latency means faster replies, improving user experience.

Latency 62

Latency Tuning Metrics Testing 62

Scalegrid

FEBRUARY 8, 2024

Durability Availability Fault tolerance These combined outcomes help minimize latency experienced by clients spread across different geographical regions. Opting for synchronous replication within distributed storage brings about reinforced consistency and integrity of data, but also bears higher expenses than other forms of replicating data.

Storage 130

Storage Systems Big Data Azure 130

Scalegrid

JANUARY 12, 2024

Utilizing cloud platforms is especially useful in areas like machine learning and artificial intelligence research. The fundamental principles at play include evenly distributing the workload among servers for better application performance and redirecting client requests to nearby servers to reduce latency.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Tech News Gather

FEBRUARY 20, 2023

With some unique advantages like low latency and faster speed, 5G aims to give birth to a new era of mobile application development with some innovations. With the increase in speed and less latency, there are a lot of possibilities that can be explored in the field of the internet of things (IOT) and smart devices.

Mobile 40

Mobile Development Artificial Intelligence IoT 40

ACM Sigarch

DECEMBER 6, 2018

As a result of these different types of usages, a number of interesting research challenges have emerged in the domain of visual computing and artificial intelligence (AI). Each of these categories opens up challenging problems in AI/visual algorithms, high-density computing, bandwidth/latency, distributed systems.

Wireless 54

Wireless IoT Architecture Analytics 54

O'Reilly

DECEMBER 2, 2019

For applications like communication between AVs, latency–how long it takes to get a response–is more likely to be a bigger limitation than raw bandwidth, and is subject to limits imposed by physics. There are impressive estimates for latency for 5G, but reality has a tendency to be harsh on such predictions.

Wireless 54

Wireless Serverless IoT Artificial Intelligence 54

Abhishek Tiwari

DECEMBER 27, 2017

It offers reliability and performance of a data warehouse, real-time and low-latency characteristics of a streaming system, and scale and cost-efficiency of a data lake. Data solution vendors like SnapLogic and Informatica are already developing machine learning and artificial intelligence (AI) based smart data integration assistants.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

VoltDB

JUNE 26, 2024

AI/ML Artificial intelligence and machine learning algorithms analyze vast amounts of data to uncover patterns, predict outcomes, and improve manufacturing processes. In intelligent manufacturing, the edge enables real-time analysis and decision-making right where production occurs, improving responsiveness and reliability.

IoT 52

IoT Analytics Artificial Intelligence Energy 52

O'Reilly

JULY 20, 2021

While techniques like federated learning are on the horizon, to avoid latency issues and mass data collection, it remains to be seen whether those techniques are satisfactory for companies that collect data. Is there a benefit to both organizations and their customers to limit or obfuscate the transmission of data away from the device?

Google 130

Google Games Technology Technology 130

InfoQ

APRIL 15, 2024

At the QCon London 2024 conference, Félix GV from LinkedIn discussed the AI/ML platform powering the company’s products. He specifically delved into Venice DB, the NoSQL data store used for feature persistence. The presenter shared the lessons learned from evolving and operating the platform, including cluster management and library versioning.

Big Data 109

Big Data Artificial Intelligence Data Engineering Latency 109

O'Reilly

JANUARY 16, 2024

Unpredictable wait times : Wait times (latency) for ChatGPT’s responses are unpredictable, and there aren’t audio cues to help me establish an expectation for how long I need to wait before it responds.

Internet 87

Internet Internet Entertainment Design 87

Testsigma

FEBRUARY 12, 2021

The usage by advanced techniques such as RPA, Artificial Intelligence, machine learning and process mining is a hyper-automated application that improves employees and automates operations in a way which is considerably more efficient than conventional automation. Automation using Artificial Intelligence(AI) and Machine Learning(ML).

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

VoltDB

OCTOBER 17, 2024

Artificial Intelligence (AI) and Machine Learning (ML) AI and ML algorithms analyze real-time data to identify patterns, predict outcomes, and recommend actions. Industrial Internet of Things (IoT) Industrial IoT devices collect data from various sources, such as machinery, production lines, and supply chain components.

Automotive 52

Automotive IoT Energy Artificial Intelligence 52