Dynatrace

MARCH 14, 2022

As patient care continues to evolve, IT teams have accelerated this shift from legacy, on-premises systems to cloud technology to more build, test, and deploy software, and fuel healthcare innovation. This is a critical challenge: When software breaks, finding the root cause of the problem may take time, fuel finger-pointing among teams.

Healthcare 218

Healthcare Artificial Intelligence Innovation Strategy 218

Dynatrace

DECEMBER 15, 2022

Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure. To ensure resilience, ITOps teams simulate disasters and implement strategies to mitigate downtime and reduce financial loss. ITOps vs. AIOps. ” The post What is ITOps?

Artificial Intelligence 191

Artificial Intelligence DevOps Hardware Virtualization 191

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. Alert fatigue and chasing false positives are not only efficiency problems. CloudOps: Applying AIOps to multicloud operations.

DevOps 185

DevOps Artificial Intelligence Healthcare Innovation 185

The Netflix TechBlog

NOVEMBER 20, 2023

We will show how we are building a clean and efficient incremental processing solution (IPS) by using Netflix Maestro and Apache Iceberg. IPS provides the incremental processing support with data accuracy, data freshness, and backfill for users and addresses many of the challenges in workflows. past 3 hours or 10 days).

Processing 210

Processing Big Data Efficiency Engineering 210

Tech News Gather

OCTOBER 7, 2023

In the ever-evolving landscape of business and marketing, where digital strategies often take center stage, it’s easy to overlook the enduring power of a simple phone call. Let’s explore why you should dedicate more thought and consideration to implementing a phone call tracking app in your business strategy.

Strategy 52

Strategy Big Data Scalability Games 52

The Netflix TechBlog

MARCH 2, 2021

I started working at a local payment processing company after graduation, where I built survival models to calculate lifetime value and experimented with them on our brand new big data stack. I was doing data science without realizing it. Coding with statistical software and SQL are my most widely used technical skills.

Analytics 207

Analytics Innovation C++ Engineering 207

Testsigma

MAY 14, 2021

The traditional testing that was done on the software installed on local servers is now slowly fading away. However, the primary goal of traditional testing and cloud-based testing remains the same i.e., to deliver high-quality and efficient software. Process: Chalking out the strategy to make a move to cloud-based testing.

Cloud 67

Cloud Testing Testing Tools Internet 67

All Things Distributed

DECEMBER 20, 2017

For example, Kärcher, the maker of cleaning technologies, manages its entire fleet through the cloud solution "Kärcher Fleet" This transmits data from the company's cleaning devices e.g. about the status of maintenance and loading, when the machines are used, and where the machines are located. More than mere support.

Artificial Intelligence 79

Artificial Intelligence Social Media Logistics AWS 79

Highly Scalable

MARCH 10, 2015

In this article we are trying to take a more rigorous approach and provide a systematic view of econometric models and objective functions that can leverage data analysis to make more automated decisions. were a subject of intensive research over the last century, if not longer. This framework resembles the approach suggested in [JK98].

Retail 152

Retail C++ Analytics Metrics 152