Exploring how PMs can incorporate DevOps methodologies into their workflows to drive efficiency, break down silos and enable rapid product iterations ...

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 ...

Some of the most alluring uses of LLMs could lead to terrible outcomes for enterprises and their DevOps and platform engineering teams ...

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 models to production and maintaining ...

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 science teams are currently ...

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 harness all of that information, ...

...

...

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 areas where traditional ...

...

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 impact of the pandemic. Dotan ...

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 synchronizing the functions of development and operations teams ...