Elyra is a set of AI-centric extensions to JupyterLab Notebooks that includes features like an AI pipelines visual editor; the ability to run a notebook, Python, or R script as a batch job; reusable code snippets, and more. To create pipelines using the Visual Pipeline Editor, users need to open the JupyterLab Launcher and select … continue reading
If the adage “data is the new oil” stands true, then Integration Platform as as Service (iPaaS) is the machinery you need to drill and tap it. The allure of iPaaS is that it offers the integration needed to knit and integrate the data and processes of multiple business applications and the actual applications themselves. … continue reading
ZenML is an extensible open-source MLOps framework designed to create reproducible pipelines. The framework enables data scientists to write their code as automated pipelines from day one. It is built to encourage the iterative and experimental nature of machine learning work, but also to provide a path to an automated, production-ready software base that can … continue reading
Developers can now fine-tune GPT-3 on their own data, creating a custom version tailored to their application, which allows for faster and cheaper running of models. GPT-3 is a natural language programming tool developed by AI research laboratory OpenAI. Users have to run a single command in the OpenAI CLI tool with the file that … continue reading
While we’re not quite fully there yet, we may not be too far away from AI being a major part of the development process, helping developers eliminate some of the more mundane tasks of coding by suggesting code, autocompleting code, and making other useful suggestions. According to Chandra Kalle, VP of engineering at LeanTaaS, a … continue reading
Testing in DevOps is as much about the people that are behind the tools as it is about the tools themselves. When they work in synchrony, organizations can see major benefits in the quality of their applications and software development life cycle processes. A recent report called The Role of Testing in a DevOps Environment … continue reading
The following is a listing of testing tool providers for DevOps environments, along with a brief description of their offerings. Applitools is built to test all the elements that appear on a screen with a single line of code. Using Applitools’ Visual AI, you can automatically verify that your web or mobile app both functions … continue reading
We asked these tool providers to share more information on how their solutions help organizations test applications in their DevOps environments. Their responses are below. Gil Sever, co-founder and CEO of Applitools Modern software development teams are rapidly delivering innovation to market through more frequent and shorter release cycles, but they struggle to fully test … continue reading
KServe is a tool for serving machine learning models on Kubernetes. It encapsulates the complexity of tasks like autoscaling, networking, health checking, and server configuration. This allows users to provide their machine learning deployments with features like GPU Autoscaling, Scale to Zero, and Canary Rollouts. Created by IBM and Bloomberg’s Data Science and Compute Infrastructure … continue reading
At its virtual GTC event, NVIDIA announced a number of new technologies it believes will transform several industries. It expanded its virtual world collaboration platform Omniverse with the introduction of NVIDIA Omniverse Avatar and NVIDIA Omniverse Replicator. NVIDIA Omniverse Avatar can be used to create interactive AI avatars using the company’s speech AI, computer vision, … continue reading
Today, IBM released the Open Source Cloud Guide which highlights various use cases that are important in hybrid cloud environments and features the important open-source projects in those areas. The guide offers an overview of the concept or use case, an explanation of a traditional solution to achieve it, key open-source projects, and a highlight … continue reading
IBM Research has created AGENT, a benchmark for evaluating an AI model’s core psychological reasoning ability, or common sense, to help users build and test AI models that reason similar to how humans do. “We’re making progress toward building AI agents that can infer mental states, predict future actions, and even work with human partners. … continue reading
