KDnuggets

MAY 18, 2022

Complete guide and blog post series on IT Operations Management with AIOps. Using AI and Machine Learning to manage IT complexity to deliver world class IT service while keeping the lights on.

IT 116

IT Management Machine Learning 116

Monte Carlo

FEBRUARY 9, 2021

We doubled our revenue every quarter of 2020 and manage the reliability of over 20 petabytes of data for their customers. We doubled our revenue every quarter of 2020 and manage the reliability of over 20 petabytes of data for their customers. There had to be a better way.

Insurance 52

Insurance Data Pipeline Retail Finance 52

Knowledge Hut

FEBRUARY 6, 2024

Around 2007, the software development and IT operations groups expressed concerns about the conventional software development approach, in which developers wrote code separately from operations, who deployed and supported the code. This resulted in the emergence of the DevOps movement. Often DevOps is considered a role.

Pipeline-centric 52

Pipeline-centric Database-centric AWS Manufacturing 52

Knowledge Hut

JANUARY 31, 2024

An ITIL CMDB database stores information about service management and infrastructure in C onfigurable I tem (CIs) entries, also known as IT assets. They serve as a centralized system for managing the entire IT environment. It is a single platform for monitoring, tracking, and managing your IT estate.

IT 52

IT Certification Database Portfolio 52

Knowledge Hut

DECEMBER 26, 2023

The company does not need to invest in any additional hardware or equipment or purchase physical data centers for storage and management. Most CSPs offer infrastructure, software, and other dependencies to operate applications and workloads. It means brands can market faster, deploy applications on time, and only pay for what they use.

Cloud Computing 98

Cloud Computing Cloud Amazon Web Services AWS 98

DataKitchen

NOVEMBER 29, 2021

Continuous testing, monitoring and observability will prevent biased models from deploying or continuing to operate. As a result, enterprises will examine their end-to-end data operations and analytics creation workflows. Many in the data industry recognize the serious impact of AI bias and seek to take active steps to mitigate it.

Data Lake 98

Data Lake Manufacturing Architecture Data Architecture 98

Monte Carlo

FEBRUARY 8, 2024

The purpose of data observability tools is to reduce data downtime by automating or accelerating the detection, management and resolution of data quality incidents. In this post, we will share analyst reports and the core evaluation criteria we see organizations use when ranking data observability solutions. What are data observability tools?

BI 59

BI Data Pipeline Data Warehouse Data 59