IBM Journey to AI blog

DECEMBER 19, 2023

As practices like DevOps , cloud native , serverless and site reliability engineering (SRE) mature, the focus is shifting toward significant levels of automation, speed, agility and business alignment with IT (which helps enterprise IT transform into engineering organizations). Those objectives require a target operating model.

DevOps 163

DevOps Automation Software Development 163

IBM Journey to AI blog

JANUARY 26, 2024

Hence, our commitment to help you achieve just that—through observability and incident response automation—especially where we have differentiated capabilities.​ Additionally, we have also added the capability to create synthetic browser tests. The capability is currently in open beta. Ansible®, PagerDuty, etc.).

Automation 214

Automation DevOps Software Development Artificial Intelligence 214

Pragnakalp

FEBRUARY 14, 2024

Introduction Robot Framework is an open-source test automation framework, widely used for acceptance testing and robotic process automation (RPA). It provides a simple, easy-to-use syntax that allows both technical and non-technical users to create test cases and automation scripts.

Robotics 52

Robotics Automation Python Software Development 52

Marktechpost

APRIL 29, 2024

This benchmark comprises 20 diversified tasks, including named-entity recognition, part-of-speech tagging, question-answering, semantic textual similarity, and classification. The paper also tests eight cutting-edge pre-trained masked language models (MLMs) on both general and biomedical data.

NLP 88

NLP Automation ML Large Language Models 88

Pragnakalp

MAY 27, 2024

Playwright, a powerful automation library developed by Microsoft, enables developers to automate and test web applications across multiple browsers (Chromium, Firefox, and WebKit). This setup allows for flexible and automated web scraping tasks. This can be done using pip, the Python package installer.

Python 52

Python Automation NLP Chatbots 52

Pragnakalp

FEBRUARY 16, 2024

Introduction Data scraping with Selenium in Robot Framework lets you automate web scraping jobs using Selenium, a tool for web automation. If you’re new to Robot Framework or would like to explore its basics, you might find our previous blog on Robot Framework Basics: Step-By-Step Test Tutorial For Beginners helpful.

Robotics 52

Robotics Automation NLP Chatbots 52

Unite.AI

JANUARY 5, 2024

We use tools that enable us to automate the training and deployment of models, ensuring that they are always updated with the latest data and algorithms. This automation is crucial for maintaining the efficacy of our generative AI applications. Our CI/CD pipelines are optimized for machine learning workflows.

Generative AI 173

Generative AI Machine Learning Automation AI Modeling 173

Viso.ai

MAY 13, 2024

The process involves classifying blocks of text, tagging text elements for semantic annotation and understanding, or associating intent with conversational data. Entity Tagging Natural language text comprises various elements that give meaning to the text’s semantics. Entity tagging labels these elements into their respective classes.

Computer Vision 52

Computer Vision Natural Language Processing Categorization Chatbots 52

O'Reilly Media

OCTOBER 12, 2021

We know how to test whether or not code is correct (at least up to a certain limit). Given enough unit tests and acceptance tests, we can imagine a system for automatically generating code that is correct. But we don’t have methods to test for code that’s “good.” There are lots of ways to sort.

Algorithm 118

Algorithm Prompt Engineer Prompt Engineering Automation 118

Marktechpost

JANUARY 22, 2024

After human annotation is complete, a machine-learning model automatically examines the tagged pictures to generate the same annotations. Keylabs Keylabs enables users to annotate images with captions, tags, and other information, such as bounding boxes, important points, and semantic segmentation. Makingsense.ai TensorFlow.js

Computer Vision 85

Computer Vision Machine Learning ML Deep Learning 85

AWS Machine Learning Blog

OCTOBER 2, 2023

It is architected to automate the entire machine learning (ML) process, from data labeling to model training and deployment at the edge. Solution overview The sample use case used for this series is a visual quality inspection solution that can detect defects on metal tags, which could be deployed as part of a manufacturing process.

Automation 87

Automation DevOps Machine Learning Metadata 87

IBM Journey to AI blog

FEBRUARY 14, 2024

McDonald’s is building AI solutions for customer care with IBM Watson AI technology and NLP to accelerate the development of its automated order taking (AOT) technology. For example, Amazon reminds customers to reorder their most often-purchased products, and shows them related products or suggestions.

Computer Vision 208

Computer Vision Automation Robotics AI 208

Flipboard

JUNE 11, 2023

Testing and debugging remain the bread and butter of software reliability and maintenance. We also pass the `tag: true` option to the ‘AES.encrypt’ method to request the authentication tag, and then pass the tag to the ‘AES.decrypt’ method to verify the integrity of the decrypted data. ChatGPT appears authoritative.

Large Language Models 170

Large Language Models Neural Network ChatGPT AI 170

Flipboard

APRIL 6, 2023

In addition to using the technology on the back-end to create headlines, research keywords, generate meta tags and product descriptions, Ingenio has published more than 1,000 articles around popular search queries on Horoscope.com and Astrology.com using generative AI since the beginning of 2022. “We

AI Tools 129

AI Tools Generative AI Metadata AI 129

Dlabs.ai

AUGUST 3, 2023

However, as time has passed, advancements in technology have offered us the potential to simplify and automate this process further. As a robust Infrastructure as Code (IaC) tool, Terraform enables automation, significantly streamlining your ML infrastructure management. And this is where Terraform comes into play.

ML 98

ML Automation Machine Learning Data Integration 98

IBM Journey to AI blog

JANUARY 26, 2024

Hence, our commitment to help you achieve just that—through observability and incident response automation—especially where we have differentiated capabilities.​ Additionally, we have also added the capability to create synthetic browser tests. The capability is currently in open beta. Ansible®, PagerDuty, etc.).

Automation 110

Automation DevOps Software Development Artificial Intelligence 110

Viso.ai

MARCH 29, 2024

Machine learning operations (MLOps) are a set of practices that automate and simplify machine learning (ML) workflows and deployments. Many machine learning projects fail to deliver practical results due to difficulties in automation and deployment. ML Tasks – source Automating these ML lifecycle steps is extremely difficult.

Machine Learning 52

Machine Learning ML Automation Data Scientist 52

Dlabs.ai

SEPTEMBER 26, 2023

variable "env" { default = "test" description = "Name of the environment" } variable "app_name" { default = "mlflow-terraform" } variable "region" { default = "eu-central-1" } variable "ecs_service_name" { default = "mlflow-test" } variable "ecs_task_name" { default = "mlflow-test" } Next, we will create variables for our network.

Machine Learning 52

Machine Learning Data Science Automation ML 52

NVIDIA

SEPTEMBER 19, 2023

To automate image generation, the team developed an extension based on Omniverse Replicator , a software development kit for creating custom synthetic data generation tools. The team also developed an extension based on Omniverse Replicator that automates randomization within a scene when generating synthetic images.

AI 96

AI AI Software Development Automation 96

AWS Machine Learning Blog

DECEMBER 13, 2023

Read on to simplify and automate your note-taking process. It’s useful for coordinating tasks, distributed processing, ETL (extract, transform, and load), and business process automation. This solution includes a mock team meeting recording that you can use to test the solution.

Generative AI 93

Generative AI ETL Automation AI 93

IBM Journey to AI blog

OCTOBER 16, 2023

Filtering email ML algorithms in Google’s Gmail automate filtering customers’ email into Primary, Social and Promotions categories while also detecting and rerouting spam to a spam folder. Then, it suggests the social media user tag that individual.

Machine Learning 124

Machine Learning ML Algorithm Chatbots 124

Towards AI

MARCH 3, 2024

We’ll learn how to tame the beast of CI/CD for our projects, using Streamlit to navigate the frontend (think of it as our trusty GPS), GitHub Actions to automate like clockwork, and Docker Hub for containerized deployments (because who doesn’t love a good container?). Then, we’ll push our code to test the implementation of CI/CD.

Data Science 104

Data Science Python Data Scientist Algorithm 104

Shreyansh Singh

JANUARY 23, 2022

The repository also contains the code to train, save and test a simple ML model on the Iris Dataset. Later I will automate all this using Github Actions. cd iris_classification docker build --tag iris_classification:latest. amazonaws.com docker tag iris_classification:latest 863244415814.dkr.ecr.us-east-1.amazonaws.com/iris_classification:latest

Machine Learning 64

Machine Learning Automation Python ML 64

Mlearning.ai

JULY 29, 2023

INTRODUCTION Recently I had the pleasure to explore different options to automate a daily ML inference job, which reads raw data from a database table and write the inference results to another table. STEP BY STEP GUIDE Application Test, Buiding and Deployment Use a git repository to control your code.

Machine Learning 52

Machine Learning DevOps ML ML Engineer 52

IBM Journey to AI blog

SEPTEMBER 20, 2023

IBM watsonx.governance is an end-to-end automated AI lifecycle governance toolkit that is built to enable responsible, transparent and explainable AI workflows. Using a full-stack approach for deploying applications to the edge, a data scientist can perform fine-tuning, testing and deployment of the models.

Large Language Models 211

Large Language Models DevOps AI Modeling Automation 211

Unite.AI

MAY 8, 2024

With features like managed backups, real-time monitoring, and automated security updates included, I can focus on growing my business instead of getting caught up in technical details. This flexibility is a big plus, and with their 3-day free trial that requires no credit card, you can test their services without any commitment.

Automation 130

Automation Machine Learning AI AI 130

AWS Machine Learning Blog

JUNE 7, 2023

Amazon Lex is excited to announce Test Workbench, a new bot testing solution that provides tools to simplify and automate the bot testing process. However, testing is often manual, error-prone, and non-standardized.

Chatbots 74

Chatbots Automation Conversational AI ML 74

IBM Journey to AI blog

JANUARY 24, 2024

In planning, Turbonomic software takes the efficiencies of different hardware and depreciation schedules into account, plugging in tags to indicate when leases expire. Turbonomic planning helps organizations determine what hardware they can or should keep.

Auto-complete 153

Auto-complete Automation Generative AI AI 153

AssemblyAI

JANUARY 23, 2023

Test AssemblyAI’s AI models for free in our no-code playground What are the benefits of Conversational Intelligence AI? The automated tools also enhance the company’s customers’ ethical hiring initiatives by increasing transparency throughout the hiring process.

AI 130

AI AI AI Modeling Natural Language Processing 130

IBM Journey to AI blog

JUNE 20, 2023

Digital twins allow companies to run tests and predict performance based on simulations. Radio frequency identifier tags (RFID): RFID tags broadcast information about the asset they’re attached to using radio-frequency signals and Bluetooth technology.

Machine Learning 179

Machine Learning Automation AI AI 179

Snorkel AI

AUGUST 22, 2023

What are product tags? We use product tags to organize and store descriptive information about our products. These tags capture specific attributes of each product, such as its color, design, and pattern, in a structured manner. Examples of theme-related tags include “Outer Space Rug,” “Bird Decorative Object,” etc.

Computer Vision 52

Computer Vision Machine Learning Data Scientist Generative AI 52

Snorkel AI

AUGUST 22, 2023

What are product tags? We use product tags to organize and store descriptive information about our products. These tags capture specific attributes of each product, such as its color, design, and pattern, in a structured manner. Examples of theme-related tags include “Outer Space Rug,” “Bird Decorative Object,” etc.

Computer Vision 52

Computer Vision Machine Learning Data Scientist Generative AI 52

AWS Machine Learning Blog

APRIL 19, 2024

The platform both enables our AI—by supplying data to refine our models—and is enabled by it, capitalizing on opportunities for automated decision-making and data processing. v1alpha5 kind: ClusterConfig metadata: name: do-eks-yaml-karpenter version: '1.28' region: us-west-2 tags: karpenter.sh/discovery:

Auto-complete 93

Auto-complete Metadata AI AI 93

Mlearning.ai

FEBRUARY 18, 2023

", ) my_training_data_test = Input( type=AssetTypes.MLTABLE, path=" /test/", description="Dataset for NASA Turbofan Testing", tags={"source_type": "web", "source": "Kaggle ML Repo"}, version="1.0.0", v1", image="mcr.microsoft.com/azureml/openmpi3.1.2-ubuntu18.04:latest",

Machine Learning 52

Machine Learning ML Automation Linked Data 52

Heartbeat

FEBRUARY 29, 2024

Photo by Nathan Dumlao on Unsplash Introduction Web scraping automates the extraction of data from websites using programming or specialized tools. A set of tags is used to structure content on the Internet. Tags are like containers that wrap various elements, defining their structure and appearance on a web page.

LLM 52

LLM Data Extraction Metadata Python 52

IBM Journey to AI blog

AUGUST 16, 2023

One way that organizations can do this is through cost allocation tagging; this provides deeper visibility into tracking cloud usage and associated costs, providing visibility into excess costs within compute and memory. Embracing cloud optimization tools and automation can keep costs down, especially for periods of low resource usage.

Automation 161

Automation DevOps Algorithm Machine Learning 161

AWS Machine Learning Blog

SEPTEMBER 14, 2023

It can be difficult to find insights from this data, particularly if efforts are needed to classify, tag, or label it. As human tagging or categorization is no longer necessary, this can save businesses a lot of time, money, and labor. We have made this process simple by automating the whole training pipeline. Choose Submit.

Categorization 90

Categorization Machine Learning Data Scientist Natural Language Processing 90