Unite.AI

NOVEMBER 17, 2023

During the coding and testing phases, AI algorithms can detect vulnerabilities that human developers might miss. Below, I am listing several ways in which AI can assist developers in creating secure apps. Automated Code Review and Analysis AI can review and analyze code for potential vulnerabilities.

Artificial Intelligence 299

Artificial Intelligence Artificial Intelligence Automation DevOps 299

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

Becoming Human

MAY 11, 2023

Machine learning operations, or MLOps, are the set of practices and tools that aim to streamline and automate the machine learning lifecycle. MLOps projects are projects that focus on implementing machine learning operations best practices into a company’s existing software development and deployment process.

Machine Learning 78

Machine Learning DevOps Software Development Automation 78

IBM Journey to AI blog

AUGUST 11, 2023

MLOps, which stands for machine learning operations, uses automation, continuous integration and continuous delivery/deployment (CI/CD) , and machine learning models to streamline the deployment, monitoring and maintenance of the overall machine learning system. How to use ML to automate the refining process into a cyclical ML process.

Data Science 144

Data Science DevOps Machine Learning Data Scientist 144

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

Pickl AI

JANUARY 30, 2023

Data Automation: Automate data processing pipelines and workflows using Python scripting and libraries such as PyAutoGUI and Task Scheduler. A Software Developer Uses Python: Backend Development : Python finds applications in developing server-side applications and APIs. How to Make a Career in Python?

Python 97

Python DevOps Machine Learning Automation 97

Heartbeat

FEBRUARY 1, 2023

MLOps is a highly collaborative effort that aims to manipulate, automate, and generate knowledge through machine learning. We also have software engineers who are in charge of creating and maintaining the facilities and tools required to deploy and operate machine learning models. Learn more lessons from the field with Comet experts.

DevOps 96

DevOps Machine Learning Data Scientist Software Engineer 96

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

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 88

DevOps Generative AI Automation Software Development 88

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

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

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. Automating data labeling Data labeling is an inherently labor-intensive task that involves humans (labelers) to label the data. Let’s look at how to automate model building next!

Automation 92

Automation DevOps Machine Learning Metadata 92

AWS Machine Learning Blog

OCTOBER 2, 2023

In this post, we focus on how to automate the edge deployment part of the end-to-end MLOps pipeline. We show you how to use AWS IoT Greengrass to manage model inference at the edge and how to automate the process using AWS Step Functions and other AWS services. If you haven’t read it yet, we recommend checking out Part 1.

Automation 89

Automation DevOps ML Machine Learning 89

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

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

IBM Journey to AI blog

NOVEMBER 13, 2023

Developed internally at Google and released to the public in 2014, Kubernetes has enabled organizations to move away from traditional IT infrastructure and toward the automation of operational tasks tied to the deployment, scaling and managing of containerized applications (or microservices ).

DevOps 291

DevOps Automation Software Development Large Language Models 291

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

AWS Machine Learning Blog

DECEMBER 13, 2023

To deliver value, they must integrate into existing production systems and infrastructure, which necessitates considering the entire ML lifecycle during design and development. ML operations, known as MLOps, focus on streamlining, automating, and monitoring ML models throughout their lifecycle.

ML 100

ML Automation Metadata Software Development 100

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

AWS Machine Learning Blog

OCTOBER 18, 2023

Purina used artificial intelligence (AI) and machine learning (ML) to automate animal breed detection at scale. 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.

Auto-complete 94

Auto-complete Auto-classification Automation ML 94

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 206

Automation DevOps IDP Software Development 206

AWS Machine Learning Blog

FEBRUARY 13, 2023

Toolkits to automate the infrastructure become essential for horizontal scaling of AI/ML efforts within a corporation. In the past, AWS CloudFormation templates have been created to automate the creation of these services. The AWS CDK is an open-source software development framework to define your cloud application resources.

ML 73

ML Automation Machine Learning Artificial Intelligence 73

Marktechpost

JULY 4, 2023

Regex generation Regular expression generation is time-consuming for developers; however, Autoregex.xyz leverages GPT-3 to automate the process. Automated code reviews & code quality improvement Codiga provides automatic code reviews, and Mutable AI has industrialized Jupyter notebooks.

Large Language Models 102

Large Language Models BERT Natural Language Processing Categorization 102

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.

DevOps 138

DevOps Software Engineer Data Scientist ML 138

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 208

DevOps Software Development Automation Metadata 208

AWS Machine Learning Blog

MAY 1, 2024

This post demonstrates how to build a chatbot using Amazon Bedrock including Agents for Amazon Bedrock and Knowledge Bases for Amazon Bedrock , within an automated solution. Solution overview In this post, we use publicly available data, encompassing both unstructured and structured formats, to showcase our entirely automated chatbot system.

Chatbots 98

Chatbots Automation Machine Learning DevOps 98

AWS Machine Learning Blog

NOVEMBER 7, 2023

However, with the advent of generative AI, we can now automate the crafting of ads that truly resonate with local audiences, all while upholding stringent standards and guidelines. Cost-effective – By automating the creation of tailored ads, companies can significantly reduce costs associated with ad production and revisions.

Large Language Models 94

Large Language Models Generative AI LLM AI 94

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. The team sets up an automated pipeline for continuous integration and deployment.

Software Engineer 52

Software Engineer Software Development DevOps Algorithm 52

IBM Journey to AI blog

FEBRUARY 6, 2024

This unified view gives administrators and development teams centralized control over their infrastructure and apps, making it possible to optimize cost, security, availability and resource utilization. Automation Automation tools are a significant feature of cloud-based infrastructure. What is a public cloud?

DevOps 273

DevOps Automation Software Development Big Data 273

IBM Journey to AI blog

FEBRUARY 29, 2024

This is managed by the container runtime—a software solution interacting with the OS to make the necessary room to run container images. Further, Kubernetes is an open-source system and encourages the avid participation of contributors (who oversee the project now), with each software provider putting its own spin on Kubernetes.

DevOps 230

DevOps Software Development Artificial Intelligence Artificial Intelligence 230

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. We announced our action framework, where you can create new actions or reuse your existing automation (e.g.,

Automation 234

Automation DevOps Software Development Artificial Intelligence 234

AWS Machine Learning Blog

OCTOBER 2, 2023

An MLOps pipeline allows to automate the full ML lifecycle from data labeling to model training and deployment. Implementing an MLOps pipeline at the edge introduces additional complexities that make the automation, integration, and maintenance processes more challenging due to the increased operational overhead involved.

DevOps 91

DevOps Automation ML Computer Vision 91

Flipboard

NOVEMBER 24, 2023

This offering enables BMW ML engineers to perform code-centric data analytics and ML, increases developer productivity by providing self-service capability and infrastructure automation, and tightly integrates with BMW’s centralized IT tooling landscape. This results in faster experimentation and shorter idea validation cycles.

ML 95

ML DevOps Data Scientist ML Engineer 95

IBM Journey to AI blog

APRIL 4, 2024

cloud servers, data storage , networking capabilities, automation , software, data analytic tools)—with the security and control of on-premises IT infrastructure. SaaS, or Software-as-a-Service , is on-demand access to ready-to-use software apps (e.g., Adobe Creative Suite, Slack).

Automation 253

Automation DevOps Software Development Generative AI 253

Viso.ai

MARCH 29, 2024

MLflow is an open-source platform designed to manage the entire machine learning lifecycle, making it easier for ML Engineers, Data Scientists, Software Developers, and everyone involved in the process. MLflow can be seen as a tool that fits within the MLOps (synonymous with DevOps) framework.

Machine Learning 52

Machine Learning ML Automation Data Scientist 52

IBM Journey to AI blog

NOVEMBER 2, 2023

When it comes to modern IT infrastructure, the role of Kubernetes —the open-source container orchestration platform that automates the deployment, management and scaling of containerized software applications (apps) and services—can’t be underestimated.

Automation 274

Automation DevOps Software Development 274

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. We announced our action framework, where you can create new actions or reuse your existing automation (e.g.,

Automation 114

Automation DevOps Software Development Artificial Intelligence 114