How Qlik AutoML brings the power of machine learning to analytics teams
Zachary Paz from Gray Associates discusses how Qlik AutoML lets analytics teams build and leverage machine learning models.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Machine Learning
Machine Learning CI/CD using Github Actions and ClearML
The video will give you an in-depth guide on how to set up 3 useful ClearML-based CI/CD actions. You can use them either on their own, together or use them as a baseline for a custom action you want to create. If you do, let us know, we'll be happy to showcase it!
Accelerate your data to AI journey with new features in BigQuery ML
BigQuery ML reduces data to AI barrier by making it easy to manage the end-to-end lifecycle from exploration to operationalizing ML models using SQL.
Accelerating Projects in Machine Learning with Applied ML Prototypes
It’s no secret that advancements like AI and machine learning (ML) can have a major impact on business operations. In Cloudera’s recent report Limitless: The Positive Power of AI, we found that 87% of business decision makers are achieving success through existing ML programs. Among the top benefits of ML, 59% of decision makers cite time savings, 54% cite cost savings, and 42% believe ML enables employees to focus on innovation as opposed to manual tasks.
How to Easily Deploy Your Hugging Face Models to Production - MLOps Live #20- With Hugging Face
Watch Julien Simon (Hugging Face), Noah Gift (MLOps Expert) and Aaron Haviv (Iguazio) discuss how you can deploy models into real business environments, serve them continuously at scale, manage their lifecycle in production, and much more in this on-demand webinar!
Contibuting to ClearML: How to Get Started with Open Source Contributions!
In this video, we'll explain a little more in detail about the open-source nature and structure of ClearML. We'll also give you some places where you can start your own open-source journey, if you want to contribute.
Unlocking the value of unstructured data at scale using BigQuery ML and object tables
Most commonly, data teams have worked with structured data. Unstructured data, which includes images, documents, and videos, will account for up to 80 percent of data by 2025. However, organizations currently use only a small percentage of this data to derive useful insights. One of main ways to extract value from unstructured data is by applying ML to the data.
How to Get Started with ClearML's Hyper-Datasets
In this blog post, we’ll be taking a closer look at Hyper-Datasets, which are essentially a supercharged version of Clear-ML Data.
How to Run Workloads on Spark Operator with Dynamic Allocation Using MLRun
With the Apache Spark 3.1 release in early 2021, the Spark on Kubernetes project has been production-ready for a few years. Spark on Kubernetes has become the new standard for deploying Spark. In the Iguazio MLOps platform, we built the Spark Operator into the platform to make the deployment of Spark Operator much simpler.
