Systems | Development | Analytics | API | Testing

Qlik's Fully Integrated AI and ML Capabilities - Today and the Path Forward

May 18, 2023 By Qlik In Qlik
In this first video, we introduce our overall approach, discuss what makes it unique, and describe our end-to-end capabilities and benefits that drive deeper and more meaningful insight, make that insight more accessible to all decision-makers, and speed up the time-to-value through automation. Unlike other solutions, Qlik offers fully integrated AI and ML built into our platform as foundational services, not a “bolt-on” or one-size-fits-all approach. We deliver a complete set of augmented capabilities, where we can “cross-pollenate” by leveraging ML-driven capabilities in Qlik Sense and Qlik Sense analytics in AutoML.
View Video
iguazio

Integrating MLOps with MLRun and Databricks

May 15, 2023 By Xingsheng Qian In Iguazio
Every organization aiming to bring AI to the center of their business and processes strives to shorten machine learning development cycles. Even data science teams with robust MLOps practices struggle with an ecosystem that is in a constant state of change and infrastructure that is itself evolving. Of course, no single MLOps stack works for every use case or team, and the scope of individual tools and platforms vary greatly.
Read Post

Run predictions with your data using Cloudera Machine Learning

May 15, 2023 By Cloudera In Cloudera
Cloudera Machine Learning offers a comprehensive solution for the full machine learning lifecycle, from finding and exploring data to hosting custom ML web apps. With nearly 700 enterprise customers using ML in production, it provides a trusted and efficient way to deploy complex models and support a diverse range of AI use cases.
View Video
iguazio

Deploying Machine Learning Models for Real-Time Predictions Checklist

Apr 27, 2023 By Alexandra Quinn In Iguazio
Deploying trained models takes models from the lab to live environments and ensures they meet business requirements and drive value. Model deployment can bring great value to organizations, but it is not a simple process, as it involves many phases, stakeholders and different technologies. In this article, we provide recommendations for data professionals who want to improve and streamline their model deployment process.
Read Post
ClearML

Use AI to train AI: prompt learning using OpenAI API and ClearML

Apr 18, 2023 By ClearML In ClearML

Making a Question Answering (QA) bot that can cite your own documentation and help channels is now possible thanks to chatGPT and Langchain, an open-source tool that cleverly uses chatGPT but doesn’t require retraining it. But it’s a far cry from “out of the box.” One example is that you have to get the prompt just right. To get an LLM (large language model) to do exactly what you want, your instructions will have to be very clear, so what if we automate that too?

Read Post

Copyright © 2026 OpsMatters™. All rights reserved.