Machine Learning

Qlik AutoML Series - Predict, Explain, Act - Explainer

Sep 10, 2024 By Qlik In Qlik

Predict, Explain, Act with Qlik AutoML, a powerful tool that brings automated machine learning to the hands of business users and data analysts. In this all new series, revist and learn how Qlik AutoML allows you to build predictive models without needing deep technical expertise in data science. Follow along in the next few videos linked in the description as Mike Tarallo walks you through the key features, from experiment to deployment, and see how Explain-ability is defined and used to gain insights that drive decision-making. Perfect for those looking to enhance their analytics with AI-powered predictions!

View Video

Qlik

Read more about Qlik AutoML Series - Predict, Explain, Act - Explainer

Qlik AutoML Series - Create the Predictive Model - Video 1

Sep 10, 2024 By Qlik In Qlik

See how easy it is to create a Qlik AutoML Predictive Model.

View Video

Qlik

Read more about Qlik AutoML Series - Create the Predictive Model - Video 1

Launch Jobs & Setup Online Development Environments Directly from CLI

Sep 3, 2024 By ClearML In ClearML

When it comes to managing AI projects, the Command Line Interface (CLI) can be a powerful tool. With ClearML, the CLI becomes an essential resource for creating job templates, launching remote for JupyterLab, VS Code, or SSH development environments, and executing code on a remote machine that can better meet resource needs. Specifically designed for AI workloads, ClearML’s CLI offers seamless control and efficiency, empowering users to maximize their AI efforts.

Read Post

ClearML

Read more about Launch Jobs & Setup Online Development Environments Directly from CLI

Why Multi-tenancy is Critical for Optimizing Compute Utilization of Large Organizations

Aug 15, 2024 By ClearML In ClearML

As compute gets increasingly powerful, the fact of the matter is: most AI workloads do not require the entire capacity of a single GPU. Computing power required across the model development lifecycle looks like a normal bell curve – with some compute required for data processing and ingestion, maximum firepower for model training and fine-tuning, and stepped-down requirements for ongoing inference.

Read Post

ClearML

Read more about Why Multi-tenancy is Critical for Optimizing Compute Utilization of Large Organizations

ClearML Announces AI Infrastructure Control Plane

Aug 14, 2024 By ClearML In ClearML

We are excited to announce the launch of our AI Infrastructure Control Plane, designed as a universal operating system for AI infrastructure. With this launch, we make it easier for IT teams and DevOps to gain ultimate control over their AI Infrastructure, manage complex environments, maximize compute utilization, and deliver an optimized self-serve experience for their AI Builders.

Read Post

ClearML

Read more about ClearML Announces AI Infrastructure Control Plane

How to Implement Gen AI in Highly Regulated Environments: Financial Services and Telecommunications and More

Aug 9, 2024 By Asaf Somekh and Yaron Haviv In Iguazio

If 2023 was the year of gen experimentation, 2024 is the year of gen AI implementation. As companies embark on their implementation journey, they need to deal with a host of challenges, like performance, GPU efficiency and LLM risks. These challenges are exacerbated in highly-regulated industries, such as financial services and telecommunication, adding further implementation complexities. Below, we discuss these challenges and present some best practices and solutions to take into consideration.

Read Post

Iguazio

Read more about How to Implement Gen AI in Highly Regulated Environments: Financial Services and Telecommunications and More

10 Best APIs for Machine Learning

Aug 8, 2024 By Abu Sakib In Moesif

Machine learning APIs provide developers with powerful tools to integrate complex algorithms and models into applications without building them from scratch. These APIs simplify the development process by offering pre-trained models and standardized methods for different tasks. These include image recognition, natural language processing, and predictive analytics. This accessibility democratizes machine learning so that developers of varying expertise can leverage cutting-edge technology efficiently.

Read Post

Moesif

Read more about 10 Best APIs for Machine Learning

Building and Scaling Gen AI Applications with Simplicity, Performance and Risk Mitigation in Mind Using Iguazio and MongoDB

Jul 22, 2024 By Wei You Pan and Ashwin Gangadhar and Yaron Haviv and Zeev Rispler In Iguazio

AI and generative Al can lead to major enterprise advancements and productivity gains. By offering new capabilities, they open up opportunities for enhancing customer engagement, content creation, virtual experts, process automation and optimization, and more.

Read Post

Iguazio

Read more about Building and Scaling Gen AI Applications with Simplicity, Performance and Risk Mitigation in Mind Using Iguazio and MongoDB

Contibuting to ClearML How to Get Started with Open Source Contributions!

Jul 18, 2024 By ClearML In ClearML

Contibuting to ClearML How to Get Started with Open Source Contributions!

View Video

ClearML

Read more about Contibuting to ClearML How to Get Started with Open Source Contributions!

Swift Machine Learning: Using Apple Core ML

Jul 10, 2024 By Sachin Siwal In Bugfender

A sub-discipline of artificial intelligence (AI), machine learning (ML) focuses on the development of algorithms to build systems capable of learning from, and making decisions based on, data. In iOS development, ML allows us to create applications that can identify patterns and make predictions, adapting a user’s experience by learning from their behaviour.

Read Post