MLFlow, Neptune, and Dataiku are popular tools in the machine learning lifecycle and MLOps space, but each caters to different aspects of the workflow and different user needs. MLflow is an open-source platform designed [...]
I like a good graphic tee as much as the next person. As I was preparing this article, I decided to buy a t-shirt imprinted with the article title. It would be a conversation starter, if nothing else.I logged into [...]
The MLOps maturity lifecycle is typically divided into several levels.In the simplest model, there are three levels of maturity:L1 - No automationL2 - Partial automationL3 - Full automationIn this model, "automation" refers to the deployment of the ML model itself.Microsoft [...]
Enterprise-Ready MLOps (eMLOps) is composed of layers of services and processes that work together to productionize an ML model in an enterprise environment. (See "Enterprise-Ready MLOps has Layers".) However, it's not enough to just think of an eMLOps solutions [...]
Often, MLOps (Machine Learning Operations) is described as the intersection of Machine Learning, Data Engineering, and DevOps, with an emphasis on the addition of DevOps principles (especially CI/CD). It has also been described as adding a feedback loop to [...]
As more and more companies move their operations, applications, and data to the cloud, stories of failure and risk abound. There are several steps that a company can take to reduce risk when migrating to [...]
A cloud communications system (or CPaaS for Communications Platform as a Service) is a type of telephone system that uses the internet and cloud computing technologies to deliver voice, video, and messaging services. Cloud communications systems are often used [...]
What is Professional Service? Professional service is a term used to describe a service that is provided by trained and experienced professionals. This type of service is characterized by a high level of expertise and professionalism, and is often [...]
According to a recent article at TechTarget, enterprise IT executives see two paths ahead for their IT services: optimization or modernization. "IT services will bifurcate into two main types of projects: optimization efforts extracting more value out of what [...]
If you're looking to move your business or organization to the cloud, the first thing you should do is evaluate your current infrastructure and determine what can be moved to the cloud and what needs to remain on-premises. This will [...]
