Preparing for Machine Learning Readiness to Unlock its Full Potential
With the rapid advancement of artificial intelligence (AI) and machine learning (ML), companies need to understand and evaluate their readiness to adopt these technologies and drive material business outcomes. To assess a company’s machine learning readiness, we must consider several key factors, including: ● Vision/strategy ● Data availability ● Expertise, infrastructure and resources ● MLOps […]
Tabnine Extends Generative AI Alliance With Google
Tabnine has extended its alliance with Google Cloud to advance the adoption of generative artificial intelligence (AI) to automate the writing and testing of code. The generative AI platform provider has already developed its own large language model that is hosted on Google Cloud. Tabnine is now also committing to leveraging the large language model […]
How Open Source Can Benefit AI Development
Enterprises are increasingly reliant upon open source software. A full 95% of IT leaders say open source tools are key to their enterprise infrastructure. Simultaneously, we’ve witnessed a sharp increase in the adoption of artificial intelligence (AI) and machine learning (ML). Most IT divisions want to take advantage of AI in some form, and open […]
Six Mainframe DevOps Predictions for 2023
DevOps, or the automation of application development and hand-off to operations, is more prevalent than ever on the mainframe. As we begin 2023, below are six predictions for what the coming year will bring. The composite themes will undoubtedly be speed, alignment and experience. 1. Enterprise DevOps Will Break Down Silos Across Core Systems DevOps […]
Graduating From DevOps to MLOps? 5 Tools to Help
DevOps is a set of practices that aims to bridge the gap between software development and operations. It aims to improve collaboration and communication between these two teams and to automate the process of software delivery so that changes can be made and deployed more quickly and easily. This can include continuous integration, continuous delivery […]
ClearML Releases New Reports Feature to Share Real-Time Results of Machine Learning Projects and Ignite ML Collaboration Across the Enterprise
Tel Aviv, IL, January 19, 2023 – ClearML, the leading open source, end-to-end MLOps platform, today announced it has released a new Reports feature that is now generally available. This new feature makes it easy to create and share real-time reports within ClearML as well as connect to third-party editors such as Confluence, Monday, Notion, […]
Why MLOps Hurts: 3 Pain Points for DevOps Teams
Machine learning operations (MLOps) is a practice that aims to improve the collaboration and communication between data scientists and IT professionals in the development, deployment and maintenance of machine learning models. MLOps aims to streamline the process of building, testing and deploying machine learning models by automating and standardizing the various tasks involved. This includes […]
Navigating the MLOps Revolution: Three Missteps to Avoid
With nearly 60% of businesses set to adopt MLOps by 2024, this function has quickly established itself as an indispensable part of the enterprise technology world. And with computing needs rapidly expanding as digital transformation efforts continue, the growth of the MLOps market is unlikely to stop anytime soon. That said, as with any emerging […]
Finding Value in AI-Augmented DevOps
While artificial intelligence (AI) and machine learning (ML) are emerging technologies, we know they can help an organization parse large data sets and glean actionable insights. But do AI-infused processes actually make a difference in organizations that employ DevOps? The answer is explored in a recent survey by Tricentis. Working in partnership with Techstrong Group, […]
Stable Diffusion Goes Public — and the Internet Freaks Out
This week: A Stable Diffusion special. Unless you’ve been living under a rock for the past week, you’ll have seen something about the new open source machine learning model for creating images.
MLOps Vs. DevOps: What’s the Difference?
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 and monitoring them. MLOps involves collaboration between different teams including data scientists, DevOps engineers, IT specialists and others. MLOps can help organizations create […]
DevOps Unbound EP 19 – How AI and ML are being used in DevOps Today – TechStrong TV
Alan Shimel: Hey, everyone. I’m Alan Shimel, CEO of MediaOps, DevOps.com, Container Journal, Security Boulevard, and you’re watching DevOps Unbound. DevOps Unbound is sponsored by our friends at Tricentis. So many thanks to them. And DevOps Unbound is a biweekly show where we cover topics of interest to the DevOps audience. I am the host. […]
Apple Allows 50% Fee Rise | @ElonMusk Fans: 70% Fake | Microsoft Salaries up by 100%?
In this week’s The Long View: Apple lets devs increase subscriptions “without consent,” Twitter has more than 19% spam accounts, and we dig into the claim that Microsoft is about to double salaries.
Top 3 Requirements for Next-Gen ML Tools
As the machine learning market matures, new tools are evolving that better match data science and machine learning teams’ needs. Vendors, both open source and private, have been quick to introduce new products that better meet requirements making it easier and faster to develop models and enable collaboration. These new offerings range from cloud-based platforms […]
What is MLOps? DataOps? And Why do They Matter?
Let’s look at three distinct disciplines—DevOps, MLOps and DataOps. In 2011, Marc Andreessen famously proclaimed that software was “eating the world.” A little more than a decade later, it’s all but impossible to argue with his premonition as software has embedded itself into virtually every industry. But now another shift is underway and AI is gobbling […]
Unreliable Server Scare | Information Batteries | ARM IPO PDQ
In this week’s The Long View: We worry about chips failing randomly, we ponder a new way of thinking about workload shifting, and we grok Arm’s IPO.
AI: It’s What Staff Crave!
If you’ve seen Idiocracy (Side note: I am not recommending the movie; I’m using a phrase from it we’ve all heard. The movie itself was a comedy not at all meant to be family-friendly when it was made, and changes in social mores since its 2006 release make it far less acceptable today), you are […]
Iterative Adds Experiment Versioning to MLOps Platform
Iterative today added an experiment versioning capability to an open source platform for managing machine learning operations (MLOps) using GitOps workflows. Dmitry Petrov, Iterative CEO, said the latest version of the Data Versioning Control (DVC) platform makes it simpler to save, compare and reproduce machine learning (ML) experiments at scale without requiring organizations to set […]
Driving Software Delivery Automation With AI/ML
What if we could use an artificial intelligence (AI) engine to predict the next lines of software code to build? What if machine learning (ML) could trigger the creation of automated test cases to validate our solutions? Automation has been a focus for the information and communications technology (ICT) industry for years, and there are […]
How AI is Changing DevOps for the Better
Managing a DevOps environment involves a high degree of complexity. The rapid proliferation of data has made it difficult for DevOps teams to effectively onboard, ingest and unlock data and implement information to make good business decisions and deliver delightful experiences. Imagine a team poring over troves of information to identify critical factors that triggered […]
Relyance AI Shifts Compliance Left Using ML Algorithms
Relyance AI emerged from stealth this week to unveil a namesake platform for managing privacy and data governance in real-time within the context of a larger DevOps workflow. Fresh off raising $30 million in seed capital, Relyance AI co-CEO Leila Golchehreh said organizations can now quickly and accurately answer essential privacy questions and ensure compliance […]
OpsRamp Extends AI Reach to Incident Management
OpsRamp today extended its IT operations platform infused with machine learning algorithms, also known as AIOps, into the realm of incident management. The Summer 2021 release of the company’s namesake platform adds alert predictions for preventing outages and incidents, alert enrichment policies for faster incident troubleshooting and enhancements for automatically ingesting metrics data collected from […]
The Future of IT: Smart Tools, Intelligent Technology
In the last few years, the lines between information technology and development have been blurred. Developers need to know about infrastructure, and administrators need to know how to code. Advances like containerization, orchestration, continuous integration and infrastructure-as-code (IaC) happened in tandem with DevOps’ rise. The advantage of DevOps is that you can quickly build and […]