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Latest Videos

Face Detection using Robotic Data Automation(RDA) in 4 mins

Perform real-time face detection through a webcam/recorded video using Robotic Data Automation(RDA) in 4 mins. This method is so quick that we can start getting real-time reports on the faces of every person/object in the video without much performance overhead. The best part is it's a low code tool. Intriguing enough?

Transform your Data Center with Confidence | Joint Webinar by CloudFabrix and Verge.io

Verge.io is partnering with CloudFabrix, a leader in artificial intelligence for IT operations, to chat about why software-defined everything is the way to go. This is a great opportunity to learn how to transform your current data center operations using the latest technology and intelligence. Here’s what we’ll cover: – How artificial intelligence and data center virtualization operating systems work together to change the thinking around traditional data centers.

Is Data the biggest barrier for AIOps adoption?

Much like oil, data that is available in a raw form is not useful at all. It has to go through various steps before AI/ML could touch it and derive valuable!! Check out the latest video by Shyam Sreenivasan, where he talks about DataOps and why you should automate your data pipelines to run AIOPS at scale.

ServiceNow Incident using NLP Insights | Robotic Data Automation (RDA) | Tejo Prayaga | CloudFabrix

Robotic Data Automation (RDA) helps enterprises realize value from data faster by simplifying and automating repetitive data integration, preparation and transformation activities using Low-Code workflows and data bots, including built-in AI/ML-bots.

Keynote by Bojan Simic, DEJ | AIOps Virtual Conference | CloudFabrix

The AI market is projected to reach a $3 trillion mark by 2024, and machine learning, which is a big part of AI, is the key driver of that growth. Machine learning can augment human understanding in processing large and complex datasets that are typical in IT operations. With rapid advancements in AI/ML technologies, enterprise leaders are beginning to take big bets on AI.