Enterprise low-code development continues to grow in popularity as software vendors continue to unveil tool enhancements designed to help business users and non-developers build functional applications and business processes. The help from low-code platforms (and other platforms that are integrating low-code capabilities) couldn’t come at a better time, as enterprises continue to struggle to digitize […]
How DevOps Teams Can Skill Up on DataOps
If you’re a DevOps engineer, you probably don’t think of data operations as a key part of your job. You help to write code and deploy and manage applications, while someone else handles data management and analytics, right? Probably not. Although it might be comforting to imagine that every company has a dedicated team of […]
Ensure Your AI is Working for Your Data Team
AI tools hold great promise for DataOps. They can help teams identify the best apps to migrate, identify optimum cloud infrastructure and even validate decisions. But how can an IT team ensure the AI tools it uses are actually advancing its DataOps goals? A hard pill to swallow is that even the best-designed algorithmic decision-making […]
Moogsoft Advances AIOps Workflow
Moogsoft is moving to make it easier to create custom workflows around its AIOps platform while expanding the number of integrations provided to include connectors to New Relic Insights, Microsoft Teams and proxy support for polling integrations with IT platforms Zenoss, Zabbix, vCenter, vSphere, Solarwinds, Spectrum and SevOne. Gabe Coelho-Kostolny, senior product management and product […]
How AI is Transforming Testing Today
Currently, there is much debate about how artificial intelligence (AI) will transform our lives. One of the technology’s key benefits lies in its power to transform traditional approaches to app development and software testing. Gartner identified AI-driven development as one of its top three strategic technology trends for 2019. Digital transformation is dependent on better-quality […]
Are Self-Service Machine Learning Models the Future of AI Integration?
DevOps teams seeking to step up their mojo in developing cutting-edge artificial intelligence (AI) features are facing a big skills bottleneck when it comes to data analytics and machine learning modeling. As a result, the market is seeing an influx of self-service machine learning models and machine learning-as-a-service offerings designed to help development teams more […]
Digital Transformation Vital for Business Survival
Businesses are in a fight for their survival, and they know it. Their direct competitors, large and small, are digitizing their businesses. And those businesses that effectively digitize first have much to gain competitively. However, as we’ve reported in “Digital Transformation: Coming from Behind” and other stories, many organizations are experiencing significant challenges when it […]
DevOps Chat: We Are Devo, With Walter Scott
If you have massive amounts of data, Devo wants to help. The Madrid-based company specializes in the handling and processing of massive amounts of data. In this DevOps Chat we spoke with Devo CEO Walter Scott about the use cases for Devo in a data-crazy world. Walter is a seasoned CEO in the tech sector. […]
Developing Simple and Stable Machine Learning Models
A current challenge and debate in artificial intelligence is building simple and stable machine learning models capable of identifying patterns and even objects. Is it possible to know which models will work best or to simply see the data? It is possible, and the question is figuring out how to get there. Simple models are […]
5 DevOps Trends Worth Knowing in 2019
DevOps today is more than the buzzword it was 10 years ago. Back then, the idea of combining development with production in your IT infrastructure was not common; the logistics were nonexistent and most of the time businesses decided it was far too much effort. However, if the last nine years has taught us anything, […]
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