7 More Databox Integrations Now Support Custom Date Ranges
We’ve updated 7 more integrations to now support custom date range functionality in Databox.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Automated Model Management for CPG Trade Effectiveness
In this webinar, we will talk about enterprise scale, fully automated MLOps solutions for Trade Promotions, looking into the impact this can create for CPG companies, through a real-world example.
Automating and Governing AI over Production Data on Azure - MLOPs Live #14 w/Microsoft
Many enterprises today face numerous challenges around handling data for AI/ML. They find themselves having to manually extract datasets from a variety of sources, which wastes time and resources. In this session, we discuss end-to-end automation of the production pipeline and how to govern AI in an automated way. We touch upon setting up a feedback loop, generating explainable AI and doing all of this — at scale.
Industrializing Enterprise AI with the Right Platform - MLOps Live #9 - With NVIDIA
We discuss how enterprises need a platform that brings together tools to streamline data science workflow with leading edge infrastructure that can tackle the most complex ML models — one that can bring innovative concepts into production sooner, integrated within your existing IT/DevOps-grounded approach.
Simplifying Deployment of ML in Federated Cloud and Edge Environments - MLOPs Live #12 - with AWS
We discuss some common applications for machine learning at the edge and the main challenges associated with deploying distributed cloud and edge applications. We then wrap up the session with a live demo showing how to run a distributed cloud or edge application on Amazon Cloud and Outposts with the Iguazio Data Science Platform.
How Feature Stores Accelerate & Simplify Deployment of AI to Production MLOPs Live #13
The breakdown:
00:00 - Intro
02:15 - MLOps Overview
05:03 - Feature Engineering
07:44 - MLOps Workflow
10:44 - Solution: Feature Store
14:25 - Feature Store Competitive Landscape
17:03 - Features of a Feature Store
21:01 - CTO: Feature Store Sneakpeak
25:55 - Python Code example
27:57 - ML Pipeline example
30:07 - Covid-19 Patient Deterioration
33:26 - LIVE DEMO
52:45 - QA
Konnect decK: Automating Your Developer Pipeline
Declarative configuration in CI/CD and applying pre-defined policies to services can improve governance, consistency and stability for teams. In this demo, we’ll demonstrate how your teams can leverage the automation capabilities of Konnect to achieve APIOps for connectivity.
APIOps for Standardization Without Hindrance (Destination: Scale)
Typically, there are two options to ensuring APIs have the right governance: manual checks or long documentation (or both). There is now a third option in APIOps — integrating your GitOps process with the API lifecycle, automating the enforcement of API standards from design time. This ensures API security, quality, consistency and resiliency across distributed teams at scale, therefore improving productivity for developers and operators whilst reducing risk overall.
A Quick Guide to CO2 Offsetting for Startups
Measuring and offsetting your carbon footprint may seem like a daunting task. In this post, we’ll explain how to easily and quickly perform the calculations in a DIY style. Let’s go!
Data Theorem's Verified Step has arrived to the Step Library
Data Theorem is a leading provider in modern application security with a core mission to analyze and secure any modern application anytime, anywhere. And guess what? Now you can find Data Theorem Mobile Secure in Bitrise's Step Library!