Unite.AI

JUNE 7, 2023

DevSecOps, also known as “secure devops”, is the mindset that security is integrated throughout the entire SDLC, from requirements to architecture and design, coding, testing, release and deployment. Just this past year, Veracode was named a 2022 Top Place to Work by The Boston Globe and a 2023 Top Workplaces USA by Energage.

Software Development 260

Software Development Automation DevOps Machine Learning 260

AWS Machine Learning Blog

NOVEMBER 7, 2024

Operating such large-scale forecasting requires resilient, reusable, reproducible, and automated machine learning (ML) workflows with fast experimentation and continuous improvements. At the same time, we incorporated continuous integration and delivery (CI/CD) processes, automated testing, and model versioning into the solution.

ML 107

ML Machine Learning Automation Data Scientist 107

Snorkel AI

JUNE 22, 2023

They presented “Automating Data Quality Remediation With AI” at Snorkel AI’s The Future of Data-Centric AI Summit in 2022. Transparency is a critical ingredient in improving the quality and changing data through automated approaches. But the risks are real, and governance is critical to this process. So, how do you tackle this?

Data Quality 52

Data Quality Automation Data Scientist ML 52

Snorkel AI

JUNE 22, 2023

They presented “Automating Data Quality Remediation With AI” at Snorkel AI’s The Future of Data-Centric AI Summit in 2022. Transparency is a critical ingredient in improving the quality and changing data through automated approaches. But the risks are real, and governance is critical to this process. So, how do you tackle this?

Data Quality 52

Data Quality Automation Data Scientist AI 52

Snorkel AI

JUNE 22, 2023

They presented “Automating Data Quality Remediation With AI” at Snorkel AI’s The Future of Data-Centric AI Summit in 2022. Transparency is a critical ingredient in improving the quality and changing data through automated approaches. But the risks are real, and governance is critical to this process. So, how do you tackle this?

Data Quality 52

Data Quality Automation Data Scientist AI 52

DataRobot Blog

SEPTEMBER 1, 2022

You need full visibility and automation to rapidly correct your business course and to reflect on daily changes. Imagine yourself as a pilot operating aircraft through a thunderstorm; you have all the dashboards and automated systems that inform you about any risks. See DataRobot MLOps in Action. Request a Demo.

Data Drift 145

Data Drift AI AI Data Science 145

AWS Machine Learning Blog

FEBRUARY 29, 2024

billion EUR (in 2022), a workforce of 336,884 employees (including 221,343 employees in Germany), and operations spanning 130 countries. Major benefits include high scalability of the service, in large part due to automation and a self-service model, and an attractive pricing model that’s primarily based on resource consumption.

Data Scientist 122

Data Scientist DevOps AI AI 122

Bugra Akyildiz

NOVEMBER 20, 2022

2:20 AM ∙ Nov 20, 2022 3 Likes 1 Retweet Articles Google improves upon NIMA (Neural Image Assessment) through MUSIQ , MUSIQ stands for Multi-scale Image Quality Transformer and yes, you have guessed right, the model is a variant of a Transformer model. .","username":"bugraa","name":"Bugra

ML 52

ML ETL Data Science DevOps 52

AWS Machine Learning Blog

MAY 19, 2023

At the 2022 AWS re:Invent conference in Las Vegas, we demonstrated “Describe for Me” at the AWS Builders’ Fair, a website which helps the visually impaired understand images through image caption, facial recognition, and text-to-speech, a technology we refer to as “Image to Speech.” Accessibility has come a long way, but what about images?

Generative AI 100

Generative AI Machine Learning AI AI 100

AWS Machine Learning Blog

AUGUST 31, 2023

In addition to data engineers and data scientists, there have been inclusions of operational processes to automate & streamline the ML lifecycle. During AWS re:Invent 2022, AWS introduced new ML governance tools for Amazon SageMaker which simplifies access control and enhances transparency over your ML projects.

ML 115

ML Data Scientist Machine Learning Automation 115

AWS Machine Learning Blog

MAY 8, 2024

In 2022, Dialog Axiata made significant progress in their digital transformation efforts, with AWS playing a key role in this journey. By conducting experiments within these automated pipelines, significant cost savings could be achieved. million subscribers, which amounts to 57% of the Sri Lankan mobile market.

ML 118

ML Categorization AI AI 118

ODSC - Open Data Science

JULY 19, 2023

The data science team is now expected to be equipped with CI/CD skills to sustain ongoing inference with retraining cycles and automated redeployments of models. So, we’ve created quick deploy examples with Azure DevOps (ADO), GitHub, and Microsoft Learn to help you get your ideas tested in no time.

Machine Learning 52

Machine Learning Data Drift Data Science Data Scientist 52

AWS Machine Learning Blog

JULY 8, 2024

This automated solution helps you get started quickly by providing all the code and configuration necessary to generate your unique images—all you need is images of your subject. However, this solution uses the equivalent GUI parameters as a pre-configured TOML file to automate the entire Stable Diffusion XL fine-tuning process.

Automation 121

Automation ML DevOps Software Engineer 121

AWS Machine Learning Blog

MAY 3, 2023

Moreover, as of November 2022, Studio supports shared spaces to accelerate real-time collaboration and multiple Amazon SageMaker domains in a single AWS Region for each account. Moreover, if you have tens and hundreds of Studio users, consider how to automate the recovery process to avoid mistakes and save costs and time.

Data Scientist 69

Data Scientist Automation DevOps Machine Learning 69

Unite.AI

DECEMBER 19, 2023

Our recent research found there were more ransomware incidents in the first half of 2023 than all of 2022. Generally, these customers are also adopting a “shift left” with DevOps. Our API-oriented service model complements this by enabling Agile development and services to prevent threats.

Neural Network 147

Neural Network Deep Learning Metadata Auto-classification 147

AWS Machine Learning Blog

AUGUST 31, 2023

In addition to data engineers and data scientists, there have been inclusions of operational processes to automate & streamline the ML lifecycle. During AWS re:Invent 2022, AWS introduced new ML governance tools for Amazon SageMaker which simplifies access control and enhances transparency over your ML projects.

ML 52

ML Data Scientist Machine Learning Automation 52

AWS Machine Learning Blog

FEBRUARY 21, 2023

Amazon SageMaker for MLOps provides purpose-built tools to automate and standardize steps across the ML lifecycle, including capabilities to deploy and manage new models using advanced deployment patterns. As of December 2022, SageMaker guardrails provide implementation for blue/green, canary, and linear traffic shifting deployment options.

ML 82

ML Software Development Automation Metadata 82

AWS Machine Learning Blog

FEBRUARY 28, 2023

And we want to automate that anonymization to make this as scalable and amenable to self-service as possible. Automating also allows you to iterate the anonymization logic to meet your compliance requirements, and provides the ability to re-run the pipeline as your population’s health data changes.

ML 85

ML Machine Learning Categorization NLP 85

AWS Machine Learning Blog

AUGUST 15, 2023

In 2022, 125 million customers contributed nearly 1.5 Content moderation automation allows Amazon to scale the process while keeping high accuracy. Rekognition Content Moderation automates and streamlines image and video moderation workflows without requiring ML experience.

DevOps 88

DevOps Computer Vision Automation ML 88

AWS Machine Learning Blog

OCTOBER 18, 2023

Purina used artificial intelligence (AI) and machine learning (ML) to automate animal breed detection at scale. The Petfinder team at Purina wants an automated solution that they can deploy with minimal maintenance. That is a huge improvement and time savings because in 2022, 4 million pet profiles were uploaded.

Auto-complete 119

Auto-complete Auto-classification Machine Learning Automation 119

The MLOps Blog

MAY 9, 2023

The pipelines let you orchestrate the steps of your ML workflow that can be automated. Simplify the end-to-end orchestration of the multiple steps in the machine learning workflow for projects with little to no intervention (automation) from the ML team. It is most common to use containers for machine learning pipelines.

ML 98

ML Machine Learning Metadata Automation 98

The MLOps Blog

MARCH 21, 2023

Automation You want the ML models to keep running in a healthy state without the data scientists incurring much overhead in moving them across the different lifecycle phases. Automation is a good MLOps practice for speeding up all parts of that lifecycle. This would let you roll back changes and inspect potentially buggy code.

Machine Learning 69

Machine Learning Data Scientist ML Metadata 69

IBM Journey to AI blog

AUGUST 15, 2023

In a blog post by Gergely Orosz , he highlighted how this company racked up a bill of $65 million from an observability vendor in 2022 but then switched from using a costly tool to adopting a more cost-effective observability solution.

DevOps 183

DevOps Automation 183

AWS Machine Learning Blog

JANUARY 13, 2023

Standardize building and reuse of AI solutions across business functions and AI practitioners’ personas, while ensuring adherence to enterprise best practices: Automate and standardize the repetitive undifferentiated engineering effort. Ensure the required isolation and control of sensitive data according to common governance standards.

ML 87

ML Data Scientist Machine Learning Metadata 87