Analytics Vidhya

FEBRUARY 2, 2022

Table of contents Overview Traditional Software development Life Cycle Waterfall Model Agile Model DevOps Challenges in ML models Understanding MLOps Data Engineering Machine Learning DevOps Endnotes Overview: MLOps According to research by deeplearning.ai, only 2% of the companies using Machine Learning, Deep learning have […].

DevOps 266

DevOps Software Development Machine Learning Deep Learning 266

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). Patterns (on paper) only as prescriptive guidance.

DevOps 179

DevOps Automation Software Development 179

Unite.AI

JUNE 7, 2023

Can you discuss why enterprises should integrate application security early into the software development life cycle? 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.

Software Development 261

Software Development Automation DevOps Machine Learning 261

Becoming Human

MAY 11, 2023

MLOps projects are projects that focus on implementing machine learning operations best practices into a company’s existing software development and deployment process. DevOps and DataOps: DevOps and DataOps are related approaches that emphasize collaboration between software developers and IT operations teams.

Machine Learning 78

Machine Learning DevOps Software Development Automation 78

IBM Journey to AI blog

AUGUST 11, 2023

The paper suggested creating a systematic “MLOps” process that incorporated CI/CD methodology commonly used in DevOps to essentially create an assembly line for each step. MLOps vs. DevOps DevOps is the process of delivering software by combining and automating the work of software development and IT operations teams.

Data Science 149

Data Science DevOps Machine Learning Data Scientist 149

Unite.AI

NOVEMBER 17, 2023

AI recommends safer libraries, DevOps methods, and a lot more. Enhanced Static Application Security Testing (SAST) SAST examines source code to find security vulnerabilities without executing the software. As AI evolves in software development, so do the methods of cyber attackers.

Artificial Intelligence 300

Artificial Intelligence Artificial Intelligence Automation DevOps 300

Unite.AI

DECEMBER 7, 2023

Clean Code promotes security, maintainability, and reliability, and can enable developers to anticipate and handle unexpected states more effectively and get the software back up and running quicker. Incorporating AI into the software development life cycle has its benefits, such as enabling developers to work more efficiently.

Software Development 243

Software Development DevOps Explainability AI 243

Flipboard

DECEMBER 26, 2023

Software development is currently undergoing a profound transformation, marked by a quiet yet remarkable surge in advanced automation. This impending …

Software Engineer 146

Software Engineer Software Development Automation DevOps 146

AWS Machine Learning Blog

MARCH 27, 2024

In software engineering, there is a direct correlation between team performance and building robust, stable applications. The data community aims to adopt the rigorous engineering principles commonly used in software development into their own practices, which includes systematic approaches to design, development, testing, and maintenance.

DevOps 89

DevOps Generative AI Automation Software Development 89

Heartbeat

FEBRUARY 29, 2024

The software development landscape is constantly evolving, driven by technological advancements and the ever-growing demands of the digital age. Over the years, we’ve witnessed significant milestones in programming languages, each bringing about transformative changes in how we write code and build software systems.

Software Engineer 52

Software Engineer Software Development LLM Large Language Models 52

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.

DevOps 96

DevOps Machine Learning Data Scientist Software Engineer 96

Towards AI

AUGUST 16, 2023

Michael Dziedzic on Unsplash I am often asked by prospective clients to explain the artificial intelligence (AI) software process, and I have recently been asked by managers with extensive software development and data science experience who wanted to implement MLOps.

Machine Learning 94

Machine Learning Software Development Data Drift AI 94

Flipboard

APRIL 21, 2023

A report by GitLab finds that AI and ML in software development workflows show promise, but challenges like toolchain complexity and security concerns persist. The post DevSecOps: AI is reshaping developer roles, but it’s not all smooth sailing appeared first on TechRepublic.

Software Development 143

Software Development ML AI AI 143

Pickl AI

JANUARY 30, 2023

A Software Developer Uses Python: Backend Development : Python finds applications in developing server-side applications and APIs. The developer will use frameworks such as Django and Flask for this. If you have completed the Python certification, a number of job opportunities open up for you.

Python 97

Python DevOps Machine Learning Automation 97

Flipboard

AUGUST 21, 2023

Generative AI, ChatGPT, and large language models (LLMs) like GitHub Copilot and other AI code-generation tools are changing software development …

Generative AI 108

Generative AI Large Language Models Software Development ChatGPT 108

Unite.AI

JANUARY 25, 2024

Application security topics rose by 42%, and DevSecOps – which integrates security practices within the DevOps process – experienced a 30% growth in usage. These trends signal a paradigm shift toward incorporating security throughout the software development lifecycle, rather than treating it as an afterthought.

Prompt Engineer 183

Prompt Engineer Prompt Engineering Generative AI NLP 183

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 156

DevOps Software Development Automation 156

IBM Journey to AI blog

DECEMBER 19, 2023

This post expands on the topic and provides a maturity model and building blocks that help enterprises accelerate their software supply chain lifecycle in the ever-evolving landscape of enterprise cloud-native software development. We recommend a 4-stage roadmap for implementation, as shown in the figure below.

Automation 205

Automation DevOps Software Development 205

Chatbots Life

MAY 16, 2023

10CLOUDS Year Founded : 2009 HQ : Warsaw, Poland Team Size : 51–200 employees Clients : TrustStamp (Identity verification), Emergent Tech (G-Coin), AlephZero (Blockchain), Tapeke (BitCoin Software Development), Tagasauris (Crowdsourcing Software Development), CallerSmart.

Generative AI 98

Generative AI Chatbots Conversational AI Software Development 98

ODSC - Open Data Science

APRIL 12, 2023

Red Hat Since its start with the Red Hat® Enterprise Linux®, Red Hat has expanded its products to include agile integration, management and automation solutions, middleware, cloud-native application development, and hybrid cloud infrastructure. 25 years in, they remain committed to operating transparently, responsibly, and open source.

Data Science 97

Data Science DevOps Deep Learning Software Development 97

AWS Machine Learning Blog

DECEMBER 12, 2023

By 2025, Vodafone plans to have 50% of its global workforce actively involved in software development, with an objective to deliver 60% of digital services in-house. Thousands of engineers are being onboarded to contribute to this transition.

Machine Learning 103

Machine Learning ML DevOps Software Engineer 103

ODSC - Open Data Science

APRIL 17, 2023

This shift in thinking has led us to DevSecOps , a novel methodology that integrates security into the software development/ MLOps process. DevSecOps includes all the characteristics of DevOps, such as faster deployment, automated pipelines for build and deployment, extensive testing, etc.,

Data Science 97

Data Science DevOps Deep Learning Automation 97

The MLOps Blog

JANUARY 23, 2023

Just so you know where I am coming from: I have a heavy software development background (15+ years in software). Lived through the DevOps revolution. Came to ML from software. Founded two successful software services companies. If you’d like a TLDR, here it is: MLOps is an extension of DevOps.

DevOps 59

DevOps Metadata Software Engineer Data Scientist 59

ODSC - Open Data Science

DECEMBER 11, 2023

GitGurdian GitGuardian is a strong tool that maintains the safety of software development by keeping confidential data in code repositories. The easy integration of StackHawk’s secret scanning tool into development pipelines, including CI/CD procedures, is one of its primary benefits.

Software Development 52

Software Development Data Science DevOps Software Engineer 52

Mlearning.ai

AUGUST 12, 2023

In the world of software development, it’s crucial to ensure that applications behave as expected in various environments. Docker, a… Continue reading on MLearning.ai »

Software Development 52

Software Development Python DevOps ML 52

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 295

DevOps Automation Software Development Large Language Models 295

AWS Machine Learning Blog

OCTOBER 2, 2023

With a passion for automation, Joerg has worked as a software developer, DevOps engineer, and Site Reliability Engineer in his pre-AWS life. So if you have a DevOps challenge or want to go for a run: let him know. Jörg Wöhrle is a Solutions Architect at AWS, working with manufacturing customers in Germany.

Automation 93

Automation DevOps Machine Learning Metadata 93

O'Reilly Media

OCTOBER 19, 2021

While there isn’t an authoritative definition for the term, it shares its ethos with its predecessor, the DevOps movement in software engineering: by adopting well-defined processes, modern tooling, and automated workflows, we can streamline the process of moving from development to robust production deployments. Versioning.

DevOps 138

DevOps Software Engineer Data Scientist ML 138

AWS Machine Learning Blog

OCTOBER 2, 2023

With a passion for automation, Joerg has worked as a software developer, DevOps engineer, and Site Reliability Engineer in his pre-AWS life. So if you have a DevOps challenge or want to go for a run: let him know. Jörg Wöhrle is a Solutions Architect at AWS, working with manufacturing customers in Germany.

Automation 90

Automation DevOps ML Machine Learning 90

Allen AI

APRIL 3, 2023

Everyday I learn more about IT, DevOps, and software development. It is always a refreshing challenge working with cutting edge AI researchers and machine learning software I barely understand!

DevOps 52

DevOps Software Development Machine Learning AI Researcher 52

AWS Machine Learning Blog

FEBRUARY 16, 2023

To learn about these possibilities and more, refer to the Amazon Kendra Developer Guide. About the authors Rishabh Yadav is a Partner Solutions architect at AWS with an extensive background in DevOps and Security offerings at AWS. Keerthi Kumar Kallur is a Software Development Engineer at AWS.

DevOps 70

DevOps Natural Language Processing Software Development Algorithm 70

AWS Machine Learning Blog

OCTOBER 18, 2023

The solution uses the following services: Amazon API Gateway is a fully managed service that makes it easy for developers to publish, maintain, monitor, and secure APIs at any scale. About the Authors Mason Cahill is a Senior DevOps Consultant with AWS Professional Services.

Auto-complete 95

Auto-complete Auto-classification Automation ML 95

IBM Journey to AI blog

MARCH 29, 2024

Monitoring and optimizing application performance is important for software developers and enterprises at large. OpenTelemetry and Prometheus enable the collection and transformation of metrics, which allows DevOps and IT teams to generate and act on performance insights. What is OpenTelemetry?

DevOps 212

DevOps Software Development Automation Metadata 212

Mlearning.ai

DECEMBER 21, 2023

Design patterns in software engineering are typical solutions to common problems in software design. They represent best practices, evolved over time, and are a toolkit for software developers to solve common problems efficiently. class Singleton: _instance = None def __new__(cls): if cls.

Software Engineer 52

Software Engineer Software Development DevOps Algorithm 52

Marktechpost

JULY 4, 2023

Database query optimization and DevOps assistance/automation Database errors, such as cache misses and missing indexes, can lead to various difficulties, which Ottertune can help you diagnose and correct. The software development startup landscape includes companies like Tabnine, Codiga, and Mutable AI.

Large Language Models 105

Large Language Models BERT Natural Language Processing Categorization 105

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. It enables teams to collaborate on software development projects, track changes, and manage code repositories. Building a robust MLOps pipeline demands cross-functional collaboration.

ML 101

ML Automation Metadata Software Development 101

IBM Journey to AI blog

MARCH 22, 2024

Quality Assurance (QA) is a critical component of the software development lifecycle, aiming to ensure that software products meet specified quality standards before release. QA encompasses a systematic and strategic approach to identifying, preventing and resolving issues throughout the development process.

Automation 210

Automation DevOps IDP Software Development 210