Dynatrace

JULY 5, 2022

As organizations look to speed their digital transformation efforts, automating time-consuming, manual tasks is critical for IT teams. AIOps combines big data and machine learning to automate key IT operations processes, including anomaly detection and identification, event correlation, and root-cause analysis. Dynatrace news.

Artificial Intelligence 285

Artificial Intelligence Cloud Innovation Strategy 285

Dynatrace

OCTOBER 17, 2022

Artificial intelligence for IT operations, or AIOps, combines big data and machine learning to provide actionable insight for IT teams to shape and automate their operational strategy. A huge advantage of this approach is speed. It works without having to identify training data, then training and honing.

DevOps 196

DevOps Artificial Intelligence Healthcare Innovation 196

The Netflix TechBlog

JUNE 1, 2021

His favorite TV shows: Bojack Horseman , Marco Polo , and The Witcher His favorite movies: Scarface, I Am Legend and The Old Guard Sam, what drew you to data engineering? Early in my career, I was headed full speed towards life as a clinical researcher. Learning more Interested in learning more about data roles at Netflix?

Data Engineering 130

Data Engineering Engineering Big Data Healthcare 130

Dynatrace

OCTOBER 14, 2021

Gartner defines AIOps as the combination of “big data and machine learning to automate IT operations processes, including event correlation, anomaly detection, and causality determination.” A huge advantage of this approach is speed. It works without having to identify training data, then training and honing.

Artificial Intelligence 212

Artificial Intelligence DevOps Innovation Metrics 212

All Things Distributed

SEPTEMBER 29, 2016

To support our customers’ growth, their digital transformation, and to speed up their innovation and lower the cost of running their IT, we continue to build out additional European infrastructure. Since we opened the first AWS EU Region in Ireland in November 2007, we have seen an acceleration of companies adopting the AWS Cloud.

AWS 166

AWS IoT Internet Internet 166

Rigor

JANUARY 13, 2020

Take, for example, The Web Almanac , the golden collection of Big Data combined with the collective intelligence from most of the authors listed below, brilliantly spearheaded by Google’s @rick_viscomi. Site speed & SEO go hand in hand. Speed Up Your Site. High Performance Browser Networking. Time is Money.

Performance 75

Performance Social Media Website Website Performance 75

All Things Distributed

DECEMBER 20, 2017

Marketers use big data and artificial intelligence to find out more about the future needs of their customers. Breuninger uses modern templates for software development, such as Self-Contained Systems (SCS), so that it can increase the speed of software development with agile and autonomous teams and quickly test new features.

Artificial Intelligence 79

Artificial Intelligence Social Media Logistics AWS 79

ScaleOut Software

NOVEMBER 24, 2020

Competitive pressures should spark innovation in this area, and real-time digital twins can help. The volume of incoming telemetry challenges current telematics systems to keep up and quickly make sense of all the data. However, telematics architectures face challenges in responding to telemetry in real time.

Analytics 52

Analytics Architecture Scalability Software Architecture 52

Rigor

SEPTEMBER 11, 2019

list of those who are making a significant impact on speeding up the web today. Developers representing hundreds of companies work together at these meetups to become masters in performance metrics and the latest trends in measuring site speed.) We at Rigor respect many web performance leaders around the world. Rachel Andrew.

Performance 89

Performance Education Google Website 89

All Things Distributed

OCTOBER 7, 2015

However, the data infrastructure to collect, store and process data is geared toward developers (e.g., In AWS’ quest to enable the best data storage options for engineers, we have built several innovative database solutions like Amazon RDS, Amazon RDS for Aurora, Amazon DynamoDB, and Amazon Redshift. Big data challenges.

Cloud 137

Cloud Big Data AWS Analytics 137

The Netflix TechBlog

FEBRUARY 16, 2021

However, with our rapid product innovation speed, the whole approach experienced significant challenges: Business Complexity: The existing SKU management solution was designed years ago when the engagement rules were simple? We value knowledge sharing, and it’s the drive for industry innovation.

Mobile 209

Mobile Engineering Infrastructure Scalability 209

ACM Sigarch

NOVEMBER 1, 2019

As is the case for many high-quality computer systems conferences, the papers presented here involve a significant amount of engineering and experimentation on real hardware to convincingly evaluate innovative concepts end-to-end in a realistic setting. ATC ’19 was refreshingly different. Programmable I/O Devices.

Architecture 12

Architecture Hardware Cache Storage 12

All Things Distributed

DECEMBER 12, 2018

We are also enabling some of the Nordics' most successful startups and gaming companies, such as: Bambora, Evolution Gaming, Hemnet, iZettle, KRY, LEO Innovation Lab, Lingit, Lunar Way, Mapillary, Mathem, Mojang, Paradox Interactive, Quinyx, Rovio, Supercell, Tidal, Trustpilot, Tink, and Vivino. Public sector.

AWS 124

AWS Cloud Games Serverless 124

All Things Distributed

MAY 21, 2018

We already have an idea of how digitalization, and above all new technologies like machine learning, big-data analytics or IoT, will change companies' business models — and are already changing them on a wide scale. The workplace of the future. The customers of fme mainly come from life sciences and industrial manufacturing.

Artificial Intelligence 76

Artificial Intelligence Technology Technology IoT 76

All Things Distributed

NOVEMBER 15, 2016

The cost and complexity to implement, scale, and use BI makes it difficult for most companies to make data analysis ubiquitous across their organizations. QuickSight is a cloud-powered BI service built from the ground up to address the big data challenges around speed, complexity, and cost. Powered by Innovation.

Analytics 152

Analytics Availability Media Social Media 152

The Netflix TechBlog

SEPTEMBER 10, 2019

This enables us to optimize their experience at speed. Instead of relying on engineers to productionize scientific contributions, we’ve made a strategic bet to build an architecture that enables data scientists to easily contribute. At any point a Netflix user is in many different A/B tests orchestrated through ABlaze.

Metrics 215

Metrics Architecture Infrastructure Innovation 215