Towards AI

FEBRUARY 15, 2024

I was also curious to know your thoughts on the events world. I used this week’s poll to survey the community, asking if you have attended or are attending “industry events” such as GTC, World AI Summit, or others. I would love to hear your thoughts on those kinds of events! I wish you all a great weekend. AI poll of the week!

AI 98

AI AI DevOps Neural Network 98

Heartbeat

FEBRUARY 1, 2023

Comparing MLOps and DevOps DevOps is a software development method that brings together multiple teams to organize and conspire to create more efficient and reliable products. One thing that DevOps and MLOps have in common is that they both emphasize process automation. Learn more lessons from the field with Comet experts.

DevOps 96

DevOps Machine Learning Data Scientist Software Engineer 96

AWS Machine Learning Blog

MARCH 27, 2024

Although much of the focus around analysis of DevOps is on distributed and cloud technologies, the mainframe still maintains a unique and powerful position, and it can use the DORA 4 metrics to further its reputation as the engine of commerce. Using a Git-based SCM pulls these insight together seamlessly.

DevOps 88

DevOps Generative AI Automation Software Development 88

ODSC - Open Data Science

DECEMBER 1, 2023

Interested in attending an ODSC event? Learn more about our upcoming events here. Subscribe to our weekly newsletter here and receive the latest news every Thursday. You can also get data science training on-demand wherever you are with our Ai+ Training platform.

Data Science 52

Data Science Large Language Models DevOps Machine Learning 52

AWS Machine Learning Blog

APRIL 4, 2023

This solution uses an AWS Lambda function that gets triggered by an Amazon S3 event notification. The Amazon S3 PutObject event triggers the Lambda function, which reads the event details. A Lambda function that is configured to get triggered by an Amazon S3 event. The function is created outside of an Amazon VPC.

Automation 69

Automation DevOps Machine Learning ML 69

IBM Journey to AI blog

FEBRUARY 14, 2024

They can also help businesses predict future events and understand why past events occurred. By infusing AI into IT operations , companies can harness the considerable power of NLP, big data, and ML models to automate and streamline operational workflows, and monitor event correlation and causality determination.

Computer Vision 221

Computer Vision Automation Robotics AI 221

ODSC - Open Data Science

FEBRUARY 21, 2024

Data-Planning to Implementation Balaji Raghunathan | VP of Digital Experience | ITC Infotech Over his 20+ year-long career, Balaji Raghunatthan has worked with cloud-based architectures, microservices, DevOps, Java, .NET, Interested in attending an ODSC event? Learn more about our upcoming events here. NET, and AWS.

DevOps 52

DevOps Data Science Data Quality Machine Learning 52

AWS Machine Learning Blog

MAY 16, 2024

Event-based pipeline automation After the preprocessing batch was complete and the training/test data was stored in Amazon S3, this event invoked CodeBuild and ran the training pipeline in SageMaker. import json import boto3 def lambda_handler(event, context): sm_client = boto3.client("sagemaker")

Deep Learning 86

Deep Learning Auto-complete Algorithm ML 86

IBM Journey to AI blog

NOVEMBER 24, 2023

Application modernization is the process of updating legacy applications leveraging modern technologies, enhancing performance and making it adaptable to evolving business speeds by infusing cloud native principles like DevOps, Infrastructure-as-code (IAC) and so on.

Generative AI 248

Generative AI Auto-complete DevOps Automation 248

AWS Machine Learning Blog

FEBRUARY 27, 2024

Apply the trained model to make predictions of future events. Pavel Maslov is a Senior DevOps and ML engineer in the Analytic Platforms team. Pavel has extensive experience in the development of frameworks, infrastructure, and tools in the domains of DevOps and ML/AI on the AWS platform.

Machine Learning 112

Machine Learning DevOps Data Quality Data Scientist 112

Pickl AI

JUNE 29, 2023

Some of the applications that it supports are: IT operations and monitoring Security information and event management (SIEM) Business Analytics DevOps Overall, it empowers organisations to proactively monitor their systems, detect anomalies, and take the necessary measures to overcome them.

Big Data 52

Big Data DevOps Data Analysis Machine Learning 52

IBM Journey to AI blog

AUGUST 2, 2023

Fact: All teams need access to the observability data The truth is that all teams— DevOps , SRE, Platform, ITOps and Development—need and deserve access to the data they want with the context of logical and physical dependencies across mobile, web, applications and infrastructure.

DevOps 151

DevOps Software Development Automation 151

ODSC - Open Data Science

SEPTEMBER 7, 2023

He was a member of the Teqnation program committee, did a presentation on Kafka and Hue usage during football, developing and deploying on Hololens, Total Devops using Gitlab, Evolution of a data science product, using the elastic stack from PoC to Production, Xbox Kinect on a bike at Devoxx London. Interested in attending an ODSC event?

Data Science 97

Data Science DevOps Explainability AI 97

IBM Journey to AI blog

OCTOBER 25, 2023

Prioritizing generative AI use cases Within IT operations, generative AI use cases include automatic triaging of systems to adhere to service-level objectives; managing, communicating, providing assistance and resolving queries and tickets; and event and anomaly detection and management.

Generative AI 224

Generative AI Automation AI AI 224

TheSequence

DECEMBER 3, 2023

. 📝 Editorial: AWS’ Generative AI Strategy Starts to Take Shape and Looks a Lot Like Microsoft’s The AWS re:Invent conference has long been regarded as the premier event of the year for cloud computing. An area that caught my attention was the enhanced support for RAG and agents.

AI Strategy 110

AI Strategy Generative AI DevOps Data Quality 110

AWS Machine Learning Blog

JUNE 8, 2023

A SageMaker real-time inference endpoint enables fast, scalable deployment of ML models for predicting events. Solutions Architect at Amazon Web Services with specialization in DevOps and Observability. It performs well on various natural language processing (NLP) tasks, including text generation. Mahesh Birardar is a Sr.

Generative AI 73

Generative AI LLM Large Language Models Machine Learning 73

IBM Journey to AI blog

NOVEMBER 13, 2023

Overview of Kubernetes Containers —lightweight units of software that package code and all its dependencies to run in any environment—form the foundation of Kubernetes and are mission-critical for modern microservices, cloud-native software and DevOps workflows.

DevOps 291

DevOps Automation Software Development Large Language Models 291

Heartbeat

OCTOBER 5, 2023

MLOps, often seen as a subset of DevOps (Development Operations), focuses on streamlining the development and deployment of machine learning models. Where is LLMOps in DevOps and MLOps In MLOps, engineers are dedicated to enhancing the efficiency and impact of ML model deployment.

Large Language Models 52

Large Language Models DevOps Prompt Engineer Prompt Engineering 52

AWS Machine Learning Blog

FEBRUARY 13, 2023

This post shows how companies can use infrastructure as code (IaC) with the AWS Cloud Development Kit (AWS CDK) to accelerate the creation and replication of highly transferable infrastructure and easily compete for AWS DeepRacer events at scale. The steps are as follows: Open AWS Cloud9 on the console.

ML 73

ML Automation Machine Learning Artificial Intelligence 73

ODSC - Open Data Science

DECEMBER 11, 2023

This tool is designed to assist development and DevOps teams in the detection and mitigation of security vulnerabilities, with a focus on detecting sensitive secrets and vital credentials that may be exposed inadvertently. Interested in attending an ODSC event? Learn more about our upcoming events here.

Software Development 52

Software Development Data Science DevOps Software Engineer 52

IBM Journey to AI blog

AUGUST 1, 2023

Organizations have embraced advanced development operations ( DevOps ) procedures to minimize incidents, but they need a resolution process for when they occur. Sometimes an incident occurs as part of a larger systematic failure, which can set off a catastrophic chain of events.

Automation 155

Automation Categorization DevOps Explainability 155

AWS Machine Learning Blog

MARCH 30, 2023

The first subsystem is a front-end ReactJS component that intercepts annotation-related mouse events and handles the rendering of the model’s predictions. With Snapper, annotators place bounding box annotations by drawing boxes, and then see immediate and automatic adjustments to their bounding box to better fit the bounded object.

Machine Learning 83

Machine Learning Convolutional Neural Networks Neural Network Computer Vision 83

AWS Machine Learning Blog

OCTOBER 18, 2023

AWS Lambda is an event-driven compute service that lets you run code for virtually any type of application or backend service without provisioning or managing servers. About the Authors Mason Cahill is a Senior DevOps Consultant with AWS Professional Services.

Auto-complete 94

Auto-complete Auto-classification Automation ML 94

IBM Journey to AI blog

JULY 24, 2023

It is often a part of AIOps , which uses artificial intelligence (AI) and machine learning to improve the overall DevOps of an organization so the organization can provide better service. Incident management enables DevOps teams to address unplanned events like server crashes or other service quality issues as quickly as possible.

DevOps 148

DevOps Automation Big Data Data Mining 148

IBM Journey to AI blog

MARCH 29, 2024

OpenTelemetry and Prometheus enable the collection and transformation of metrics, which allows DevOps and IT teams to generate and act on performance insights. Logs: Logs are a record of events that occur within a software or application component. What is OpenTelemetry?

DevOps 208

DevOps Software Development Automation Metadata 208

IBM Journey to AI blog

OCTOBER 17, 2023

This solution extends observability to a wide range of roles, including DevOps, SRE, platform engineering, ITOps and development. Automation and remediation : Offers smart alerts, automatic event correlation, and proactive issue resolution.

DevOps 212

DevOps Auto-complete Automation Python 212

AWS Machine Learning Blog

MAY 19, 2023

About the Authors Jack Marchetti is a Senior Solutions architect at AWS focused on helping customers modernize and implement serverless, event-driven architectures. AWS does not make any representations, warranties or guarantees that any information in this guidance will result in a particular outcome or result.

Generative AI 89

Generative AI Machine Learning AI AI 89

AWS Machine Learning Blog

DECEMBER 13, 2023

Data scientists, ML engineers, IT staff, and DevOps teams must work together to operationalize models from research to deployment and maintenance. You can create event-driven workflows triggered by specific events, like when code is pushed to a repository or a pull request is created.

ML 100

ML Automation Metadata Software Development 100

AWS Machine Learning Blog

MAY 3, 2023

This post explains the backup and recovery module and one approach to automate the process using an event-driven architecture. Solution overview The following diagram illustrates the high-level workflow of Studio domain backup and recovery with an event-driven architecture.

Data Scientist 60

Data Scientist Automation DevOps Machine Learning 60

AWS Machine Learning Blog

MARCH 21, 2023

Therefore, organizations have adopted technology best practices, including microservice architecture, MLOps, DevOps, and more, to improve delivery time, reduce defects, and increase employee productivity. This post introduces a best practice for managing custom code within your Amazon SageMaker Data Wrangler workflow.

Categorization 62

Categorization Python Automation Machine Learning 62

IBM Journey to AI blog

DECEMBER 1, 2023

Hybrid cloud also enables DevOps methodologies for banks to rapidly build customized solutions on software applications that streamline banking operations and deliver better customer experiences (e.g., In the event of a catastrophe, the cloud provider can implement and orchestrate the company’s DR plan to ensure business continuity.

DevOps 221

DevOps Generative AI Automation Large Language Models 221

Heartbeat

JULY 31, 2023

can support monitoring: Real-time alerts: Comet’s real-time alerting feature enables users to set up alerts to be notified when certain events occur, such as when the model’s performance falls below a certain threshold or when an error occurs. Here are some of the ways Comet.ml

LLM 52

LLM Machine Learning Deep Learning Data Scientist 52

AWS Machine Learning Blog

NOVEMBER 13, 2023

An interaction is an event that you record and then import as training data. You can record multiple event types, such as click, watch, or like. Create an event tracker Amazon Personalize can make recommendations based on real-time event data only, historical event data only, or both.

Metadata 84

Metadata Machine Learning ML DevOps 84

AWS Machine Learning Blog

MAY 7, 2024

This S3 event triggers the Notification Lambda function, which pushes the summary to an Amazon Simple Notification Service (Amazon SNS) topic. Mateusz Zaremba is a DevOps Architect at AWS Professional Services. All subscribers of the SNS topic (such as meeting attendees) receive the summary in their email inbox.

Automation 99

Automation Auto-complete DevOps UX Design 99

Heartbeat

FEBRUARY 29, 2024

Furthermore, the software development process has evolved to embrace Agile methodologies, DevOps practices, and continuous integration/continuous delivery (CI/CD) pipelines. Written in older languages, legacy codebases can be particularly challenging to work with and update.

Software Engineer 52

Software Engineer Software Development LLM Large Language Models 52

ODSC - Open Data Science

JANUARY 31, 2023

Getting insight into your system allows you to detect and resolve issues quickly — and it’s an essential part of DevOps best practices. From there, AIOps can automatically correlate events according to their context and data across systems using machine learning models. AI enables organizations’ RCA teams to review past events quickly.

DevOps 105

DevOps Automation Machine Learning Data Science 105

IBM Journey to AI blog

JANUARY 26, 2024

At Instana, addressing our customers’ needs and creating a simple tool that is easy to use is fundamental to helping our DevOps and SRE teams reduce burnout rates, allowing them to excel in what they do best. You can also leverage artificial intelligence (AI) to get action recommendations based on event context.

Automation 234

Automation DevOps Software Development Artificial Intelligence 234