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21 articles
Blogs
Exploring how PMs can incorporate DevOps methodologies into their workflows to drive efficiency, break down silos and enable rapid product iterations.
Showing 1–20 of 21
AI
The iterative process is greatly enhanced by data-driven feedback loops, which allow teams to systematically collect, analyze and act on data to inform product decisions.
AI
Some of the most alluring uses of LLMs could lead to terrible outcomes for enterprises and their DevOps and platform engineering teams.
AI
Machine learning operations, or MLOps for short, is a key aspect of machine learning (ML) engineering that focuses on simplifying and accelerating the process of delivering ML mode…
AI
As the pace at which artificial intelligence (AI) models are being constructed and inevitably updated starts to increase, it’s becoming more apparent that the pace at which data sc…
Blogs
Knowing how to use a dashboard is table stakes in the enterprise. Information technologies generate countless volumes of data from multiple sources, and dashboards are meant to har…
AI
Many industries are struggling with the ongoing COVID-19 pandemic, and the IT industry itself and the broader trend of transition to remote work over the last year revealed many ar…
Blogs
Logz.io this week launched a Community COVID-19 Dashboard Project that seeks to provide software developers and data scientists a reliable source of data to assess the global impac…
Blogs
The DevOps methodology has become synonymous with forward technical thinking–a workplace culture that reinforces best cultural practice and promotes more, better quality output by…
Blogs
Transformations are complex, and it’s often difficult to see the big picture when you’re in the middle of one. The elegance of the end-state of harmonious synergy between software…
Blogs
Data is back, baby! Well, that seems like an odd statement. It never quite left. Nevertheless, Google’s recent acquisition of Looker and Salesforce’s acquisition of Tableau seems t…
Blogs
The importance of data to business decisions and operations cannot be understated. On a daily basis, 2.5 quintillion bytes of data is generated. Managing that much data so the nece…
AI
Have you ever considered supplementing your development skills with some data science? Expand your range and follow this quick tutorial on how to build your own predictive models u…
Features
Over the last several years GitHub has emerged as one of the primary repositories around which application development now revolves. At its recent GitHub Universe 2017 conference,…
Blogs
“Predictive analytics” refers to the many techniques used to analyze data to make predictions about the future, such as data mining, statistics, modeling, machine learning and arti…
AI
In principle, the cloud is becoming a commodity. Google, Amazon and other companies are trying to commoditize almost everything, including the instruments for data gathering, data…
Blogs
As data continues to increase at an evermore rapid pace, organizations struggle to deal with this data torrent, let alone use it to analyze and capture value. The ways used to unde…
