Resources

Browse all n of the blogs, tech talks and product updates to build AI powered solutions faster.

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Deploying and Scaling Machine Learning in Production: A Q&A with Modzy COO and Co-founder Josh Elliot

DMI's Beyond Digital podcast discusses deploying and scaling of machine learning in production.

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Deploy Once, Run Anywhere: A New Approach for Scaling Production ML to Any Environment

Register now for the AI Infrastructure Alliance's AI at Scale Summit.

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ODSC Webinar: Architectures for Running ML at the Edge

This webinar will explore different paradigms for edge deployment of ML models.

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Beyond Digital by DMI #06: Deploying and Scaling Machine Learning in Production

Listen to this podcast from DMI on MLOps and deploying and scaling AI into production.

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ML Model Production Deployment Checklist

Checklist for deploying ML models into production right the first time.

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2023 Tech Talks

Check out our upcoming tech talks and details on how to join our Discord server.

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Generative AI Solutions for Real-World Problems

Generative AI can be a valuable tool for augmenting training data sets for training ML models.

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Model Serving

Model serving refers to deploying a trained ML model to a production environment.

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Choosing the Right Infrastructure for Production ML

Watch this video that breaks down the factors impacted by your infrastructure choices.

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Announcing Updates to Modzy Edge

Modzy v1.6 offers improvements in inference speeds and model throughput.

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Running Machine Learning Models at the Edge

Learn more about solutions that combine machine learning with edge computing.

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Running Hugging Face Models on Raspberry Pi

Running Hugging Face models on a Raspberry Pi is a cool way to experiment with ML models.

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Intel Ignite Selects 10 Leading-Edge Companies for First Startup Growth Program in the US

Modzy selected to participate in Intel Ignite's first US-based growth accelerator program.

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BostInno: Intel’s Cambridge-based accelerator kicks off with 10 startups

Intel selects Cambridge as the home base for its first U.S startup accelerator.

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Modzy vs. Cloud MLOps

MLOps tools offer better integration support, deployment options, and cloud cost management.

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Modzy Joins MxD as a Tier 3 Solution Partner

MxD is a non-profit that brings partners together to advance the future of U.S. manufacturing.

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Comparing MLOps Platforms

Comparing MLOps platforms can help you identify which type has the right features for your need

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GPU Computing

GPUs enable modern ML algorithms to run at accelerated computational times.

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Build vs. Buy MLOps

There are several factors that influence the decision to build vs. buy an MLOps platform.

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Managing GPU Costs for Production AI

This blog focuses on optimizations you can make to your GPU usage to generate cost savings.

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MLOps Architecture: Building your MLOps Pipeline

MLOps helps teams get value from AI, and should be the anchor point for any AI tech stack.

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MLOps for AI at Scale

By adopting an MLOps approach, enterprises can optimize pipelines for AI at scale.

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Data Labeling for ML Model Retraining with Label Studio

Create new training data by analyzing selectively re-labeling your production inference data.

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Reducing GPU Costs for Production AI

There are several ways to reduce GPU costs for production AI. Watch this talk for more tips.

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Modzy Named in Nine Gartner® Hype Cycles™ for 2022

Modzy announces being named as a Sample Vendor in 9 2022 Gartner Hype Cycles.

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Hyperparameter Optimization with Ray Tune

Hyperparameter optimization is the process of fine-tuning the hyperparameters of an ML model.

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Modzy Joins Snowflake Partner Network

Joint customers can integrate AI/ML to analyze data that resides in their Data Cloud.

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Face Blurring with Computer Vision

Face blurring with computer vision can be used to protect privacy in media.

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Modzy and Arrow Electronics Enter into Distribution Agreement

Arrow aggregates the world’s leading tech and services to enable its global channel ecosystem.

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MLOps and Your AI Tech Stack

MLOps is the layer in your AI stack that allows you to deploy, connect, and run models at scale

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Explainability - AXAI

Learn more about an approach that can be used to generate explanations quickly.

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TechTarget: Early-stage companies at MIT Sloan event tap partners

Companies participating in MIT Sloan's Innovation Showcase work with service provider partners.

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CI/CD for MLOps

Integrating CI/CD into MLOps ensures machine learning models are always up to date.

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ML Drift Detection

This video breaks down the differences between data drift and model drift.

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TechTarget: MIT Sloan innovation startups pursue AI at scale

Modzy is among the early-stage companies moving AI from project to enterprise scale.

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Modzy Selected as Finalist for MIT Sloan CIO Symposium’s Innovation Showcase

The 19th annual MIT Sloan CIO Symposium just announced Modzy as one of the ten finalists.

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PR Newswire: Modzy Selected as Finalist for MIT Sloan CIO Symposium's Innovation Showcase

We're excited to have been selected as a finalist for the 2022 Innovation Showcase.

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MLOps World Conference: Toronto 2022

Join us for conference talks and workshops on all things MLOps.

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Sign up for the free chassis.ml service

Turn machine learning models into portable container images that can run anywhere.

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PR Newsire: MIT Sloan CIO Symposium Selects Finalists for 2022 Innovation Showcase

Modzy selected as a finalist for the Innovation Showcase at the MIT Sloan CIO Symposium.

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Real-time AI Processing at the Edge

Real-time AI processing at the edge analyzes and processes data directly at the source.

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Automated Model Deployment Pipeline with Modzy and MLflow

Automating the model deployment pipeline can help organizations better manage ML models.

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Running AI models at the edge

Running AI models at the edge reduces latency, increases security, and improves networking.

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Using AI/ML to analyze unstructured data

Using AI to analyze unstructured data can help organizations to make more informed decisions.

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gRPC Overview

Learn about how gRPC can be used to build microservices and how Modzy uses it to communicate.

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S&P Global Market Trends: 6 artificial intelligence trends to watch in 2022

Enterprises must rely on tools like MLOps to address their challenges with running AI at scale.

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Computer Vision

Computer vision refers to the ability of ML models to interpret visual data.

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Medium: Developing APIs for AI

Lessons learned in developing APIs for emerging technologies like AI and ML.

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Medium: Debugging Python-Based Microservices Running on a Remote Kubernetes Cluster

Tutorial for debugging remote Kubernetes cluster running python-based microservices.

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Automatic ML Model Containerization

Chassis.ml is an open-source solution that simplifies the process of containerizing ML models.

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Modzy Joins the AI Infrastructure Alliance

The Alliance and its members seek to bring clarity to this fast-evolving field.

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Analyzing Unstructured Data with AI/ML Using the Modzy Extension for Tableau

Adding the Modzy extension to Tableau can provide analysts ML insights from unstructured data.

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Using Computer Vision to Analyze Unstructured Data in Tableau

Learn how computer vision can be a valuable tool for analyzing unstructured data in Tableau.

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Automating Production ML Model Deployment

One key benefit of MLOps is the ability to automate production deployment for ML models.

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Using AI and ML to analyze unstructured data in Snowflake

Learn how AI and ML can extract valuable information from unstructured data sources.

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Hardware Accelerators for ML Inference

Choosing the right hardware accelerator can significantly speed up ML inference.

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An API-Based Approach to AI Integration

This talk discusses an API based approach for integrating AI into enterprise software.

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ModelOps Explained

ModelOps allows teams to move models out of the lab, into production, at scale.

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AI Explainability

Learn about how AI Explainability is a crucial element to building trustworthy AI.

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AI Enabled Home Loan Default Prediction in Tableau

Watch this short video to see Modzy integrated with Tableau to show home loan default risk, gen

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Modzy Accepted into NVIDIA Inception

The NVIDIA Inception program helps startups during critical stages of product development.

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Running AI at the Edge

Teams can deploy, run, and manage AI models at the edge, enabling real-time predictions.

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Automated Vehicle Detection in QGIS

Demo video shows computer vision integrated into QGIS for vehicle detection.

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AI-Enabled Sentiment Analysis in Salesforce

This video shows AI sentiment analysis integrated into Salesforce.

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Announcing the Modzy AI Hackathon 2021 Winners

334 Modzy Community members from 17 countries worked to create 62 amazing AI-powered apps.

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Deploying Amazon SageMaker Models into Production

Automated production deployment for models trained in Amazon SageMaker.

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Deploying MLFlow Models into Production

Watch this video to see how easy it is to deploy an MLFlow ML model into production.

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Modzy closes investment round to scale MLOps platform

Modzy announced it has closed a seed investment round to expand access to the MLOps platform.

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Chassis.ml: Model Containerizer for K8s

Learn more about chassis.ml, an open-source solution for automatic ML model containerization.