From Machine Learning to DevSecOps: Six DevOps Trends for 2024
DevOps.com
DECEMBER 19, 2023
Here are six distinct technology trends that are poised to be particularly influential for DevOps and software development in the new year.
6 Top DevOps Technology Trends to Watch
DevOps.com
JANUARY 6, 2022
Technology trends simply cannot be ignored in today’s dynamic environment. As the world enters a post-digital era, organizations are exploring disruptive technology trends. The post 6 Top DevOps Technology Trends to Watch appeared first on DevOps.com. According to a survey by Accenture, 94% of IT and […].
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The Role of Machine Learning in DevOps
Kovair - DevOps
MARCH 20, 2020
Artificial intelligence (AI) and machine learning (ML) are advanced technologies in the IT world. It is a perfect combination and helps in both the private.
MLOps: Methods and Tools of DevOps for Machine Learning
Altexsoft
JULY 23, 2020
When speaking of machine learning, we typically discuss data preparation or model building. Much less often the technology is mentioned in terms of deployment. MLOps lies at the confluence of ML, data engineering, and DevOps. I/CD ) practices for deploying and updating machine learning pipelines.
How AI and ML Can Accelerate and Optimize Software Development and Testing
Speaker: Eran Kinsbruner, Best-Selling Author, TechBeacon Top 30 Test Automation Leader & the Chief Evangelist and Senior Director at Perforce Software
Though DevOps is a relatively new role, it’s one that allows visibility across the whole operation, making it important to senior tech positions. In this session, Eran Kinsbruner will cover recommended areas where artificial intelligence and machine learning can be leveraged.
Machine Learning in Predictive Testing for DevOps Environments
DevOps.com
MARCH 12, 2024
The integration of AI and ML in testing is a fundamental shift in how we approach software quality and reliability in DevOps environments.
Preparing for Machine Learning Readiness to Unlock its Full Potential
DevOps.com
APRIL 21, 2023
With the rapid advancement of artificial intelligence (AI) and machine learning (ML), companies need to understand and evaluate their readiness to adopt these technologies and drive material business outcomes.
Rethinking DevOps in 2024: Adapting to a New Era of Technology
Dzone - DevOps
MARCH 18, 2024
As we advance into 2024, the landscape of DevOps is undergoing a transformative shift. Emerging technologies, evolving methodologies, and changing business needs are redefining what it means to implement DevOps practices effectively.
Containerization and AI: Streamlining the Deployment of Machine Learning Models
Dzone - DevOps
JANUARY 5, 2024
Artificial Intelligence (AI) and Machine Learning (ML) have revolutionized the way we approach problem-solving and data analysis. These technologies are powering a wide range of applications, from recommendation systems and autonomous vehicles to healthcare diagnostics and fraud detection.
5 Things a Data Scientist Can Do to Stay Current
Advertiser: Data Robot
And more is being asked of data scientists as companies look to implement artificial intelligence (AI) and machine learning technologies into key operations. Fostering collaboration between DevOps and machine learning operations (MLOps) teams. Collecting and accessing data from outside sources.
How Serverless Technologies Can Achieve Optimal DevOps Practices
DevOps.com
AUGUST 23, 2020
Adopting DevOps, meanwhile, can be a challenge, as it includes adjusting practices and new infrastructure. However, although engineering resources may be slim, serverless offers new solutions to tackle the DevOps challenge. From improved IoT devices to cost-effective machine learning applications, the serverless ecosystem is […].
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Understanding the Role of DevOps in Digital Engineering
OTS Solutions
JULY 18, 2023
To meet this demand, enterprises have turned to DevOps and digital engineering practices to streamline their software development and delivery processes. What are DevOps and Digital Engineering? Why are DevOps and Digital Engineering Important? The Key Principles and Importance of DevOps in Enterprise Applications 1.
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Leveraging Standardization and Automation to Facilitate DevOps Testing in Multi-Code Environments
CIO
OCTOBER 25, 2022
To remain resilient to change and deliver innovative experiences and offerings fast, organizations have introduced DevOps testing into their infrastructures. However, introducing DevOps to mainframe infrastructure can be nearly impossible for companies that do not adequately standardize and automate testing processes before implementation.
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Understanding the Role of DevOps in Digital Engineering
OTS Solutions
JULY 18, 2023
To meet this demand, enterprises have turned to DevOps and digital engineering practices to streamline their software development and delivery processes. What are DevOps and Digital Engineering? Why are DevOps and Digital Engineering Important? The Key Principles and Importance of DevOps in Enterprise Applications 1.
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How is Digital Technology Transforming the Accessibility of Mental Health Services and Therapy?
OTS Solutions
JANUARY 11, 2024
Introduction to Digital Technologies in Mental Health Therapy Digital technologies have rapidly transformed mental health therapy practices. These technologies offer innovative ways to improve treatment delivery, enhance patient engagement, and personalize care plans. billion AI and ML 2032 $22,384.27 million IoT 2028 $293.10
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Finding Value in AI-Augmented DevOps
DevOps.com
SEPTEMBER 16, 2022
While artificial intelligence (AI) and machine learning (ML) are emerging technologies, we know they can help an organization parse large data sets and glean actionable insights. But do AI-infused processes actually make a difference in organizations that employ DevOps?
10+ Biggest DevOps Mistakes You Must Need to Avoid in 2023
OTS Solutions
AUGUST 10, 2023
Most business owners talk about DevOps, but when it comes to implementing them, problems start. Having gone through the process with many companies, a DevOps engineer told me the five common DevOps mistakes organizations make when carrying out DevOps development for the first time.
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How Database DevOps Fuels Digital Transformation
DevOps.com
MARCH 17, 2023
User data is constantly gathered and shared across various technology backends and platforms—as is system performance data to inform engineers. Data is pivotal for everything, from generating machine learning models, refining user experiences and even supporting new data-centric services.
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3 key digital transformation priorities for 2024
CIO
DECEMBER 19, 2023
This year’s technology darling and other machine learning investments have already impacted digital transformation strategies in 2023 , and boards will expect CIOs to update their AI transformation strategies frequently. I wrote in Driving Digital , “Digital transformation is not just about technology and its implementation.
Is AI Taking Over DevOps Functions?
DevOps.com
SEPTEMBER 19, 2021
Today, almost every specialization demands the intervention of machine learning to develop AI technologies that help businesses do more with less time and resources. For DevOps, the answer is a […]. The post Is AI Taking Over DevOps Functions? appeared first on DevOps.com.
What is Machine Learning Engineer: Responsibilities, Skills, and Value Brought
Altexsoft
JUNE 29, 2021
In a world fueled by disruptive technologies, no wonder businesses heavily rely on machine learning. Google, in turn, uses the Google Neural Machine Translation (GNMT) system, powered by ML, reducing error rates by up to 60 percent. But no technology can work efficiently without human experts behind it.
OpenText Extends Tool for Auditing Source Code Using Machine Learning
DevOps.com
FEBRUARY 6, 2024
OpenText updated a static analysis code auditing tool using machine learning algorithms to provide deeper insights into on-premises IT environments.
Best GitHub-Like Alternatives for Machine Learning Projects
Dzone - DevOps
SEPTEMBER 22, 2023
In the rapidly advancing world of technology, the continuous search for efficient platforms to streamline Machine Learning Projects is ever-persistent. Hence, we bring to your notice the best GitHub-like alternatives that can revolutionize your approach to machine learning projects.
Role of AI and ML in DevOps Transformation
Dzone - DevOps
AUGUST 22, 2022
As advanced technologies like AI (Artificial Intelligence) and ML (Machine Learning) are gradually shaping the ways we live and work, DevOps teams are no exception. Artificial Intelligence has incredibly changed the way we approach DevOps and other IT operations.
The future of software testing: Machine learning to the rescue
TechBeacon
JANUARY 8, 2021
Automated testing has emerged as one of the most important technologies for scaling DevOps, companies are investing enormous time and effort to build end-to-end software delivery pipelines, and containers and their ecosystem are holding up on their early promise. The last decade has seen a relentless push to deliver software faster.
How Machine Learning is Powering the Next Era of DevOps?
Kovair - DevOps
SEPTEMBER 14, 2022
Views : 33 As the progressive movement of the world makes evolving DevOps too. It all started a decade ago. As every development has a.
How Lufthansa Uses Apache Kafka for Data Integration and Machine Learning
Dzone - DevOps
DECEMBER 19, 2023
This post explores how Lufthansa leverages data streaming powered by Apache Kafka as cloud-native middleware for mission-critical data integration projects and as data fabric for AI/machine learning scenarios such as real-time predictions in fleet management.
MLOps vs. DevOps: The Key Similarities and Differences
Dzone - DevOps
FEBRUARY 20, 2024
DevOps has been an integral part of software development for the last 15 years. With the rise of Artificial Intelligence in recent years, the structure of how enterprises are delivering and consuming AI has changed drastically with the proliferation of open-source technology.
AI Chihuahua! Part I: Why Machine Learning is Dogged by Failure and Delays
d2iq
FEBRUARY 19, 2021
Going from a prototype to production is perilous when it comes to machine learning: most initiatives fail , and for the few models that are ever deployed, it takes many months to do so. As little as 5% of the code of production machine learning systems is the model itself. Adapted from Sculley et al.
Arrikto raises $10M for its MLOps platform
TechCrunch
NOVEMBER 16, 2020
Arrikto , a startup that wants to speed up the machine learning development lifecycle by allowing engineers and data scientists to treat data like code, is coming out of stealth today and announcing a $10 million Series A round. “We make it super easy to set up end-to-end machine learning pipelines. .
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Unravelling the Best Practices For DevOps Testing Strategy
Dzone - DevOps
JULY 25, 2021
With time progressing, technology is transforming at a lightning speed to make the software development process much simpler, faster, qualitative, and convenient. Technologies like machine learning and AI are being utilized in several ways, not only to process qualitative and faster data but also to process predictive data.
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How to Launch Your AI Projects from Pilot to Production – and Ensure Success
CIO
NOVEMBER 7, 2022
CIOs seeking big wins in high business-impacting areas where there’s significant room to improve performance should review their data science, machine learning (ML), and AI projects. Are they ready to transform business processes with machine learning capabilities, or will they slow down investments at the first speed bump?
Lessons from the field: How Generative AI is shaping software development in 2023
CIO
SEPTEMBER 6, 2023
Members of VMware’s Tanzu Vanguard community, who are expert practitioners at companies across different industries, provided their perspectives on how technologies such as Generative AI are impacting software development and technology decisions. Therefore, the technology will only be as good as the data provided.
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Machine Learning Pipeline: Architecture of ML Platform in Production
Altexsoft
MAY 27, 2020
Machine learning (ML) history can be traced back to the 1950s, when the first neural networks and ML algorithms appeared. Analysis of more than 16.000 papers on data science by MIT technologies shows the exponential growth of machine learning during the last 20 years pumped by big data and deep learning advancements.
Intelligent Cloud: Machine Learning Integration in the Cloud
Dzone - DevOps
DECEMBER 6, 2021
Today, artificial intelligence-powered machine learning (ML) and data analytics solutions are high in demand by companies in almost every area, whether it’s the financial sector, power industry, retail, healthcare, technology, or telecommunications. to leverage ML technologies and solutions in the business infrastructure.
How to get started with AI to speed software delivery
CIO
OCTOBER 16, 2023
But with gen AI and technologies like ChatGPT tangibly transforming how developers and people work, it has understandably prompted age-old anxieties around its potential to replace human tasks and jobs. From a DevOps perspective, operators face some of the same issues as developers when it comes to accessing the right information.
When ML Meets DevOps: How To Understand MLOps
Dzone - DevOps
DECEMBER 13, 2023
Artificial Intelligence ( AI ) and Machine Learning ( ML ) have taken over the world in recent years, becoming crucial components of practically any industry, from retail and entertainment to healthcare and banking. It follows DevOps-like techniques for rapid and dependable software development in the ML sector. What Is MLOps?
The Scope of DevOps
Dzone - DevOps
MARCH 23, 2021
DevOps is the unification of software development and software operations; it has given a cultural twist to the otherwise technology-oriented industry. Undergoing a DevOps Certification Training will be incredibly beneficial to tech professionals as well as freshers of the IT industry. The Future of DevOps.
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How to Measure Your MLOps Performance
Xebia
NOVEMBER 30, 2023
In the last few years, the discipline of Machine Learning Operations (MLOps) has been received a lot of traction to get more Machine Learning (ML) solutions into productions, reduce iteration cycles, and reduce costs for engineering and maintenance. What are indicators for immature and mature stages across these areas?
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What DevOps Needs to Know About ChatGPT
DevOps.com
JANUARY 24, 2023
GPT also has the potential to shake up the DevOps and DevSecOps communities. This article will provide an overview of GPT, its history, current status and future […] The post What DevOps Needs to Know About ChatGPT appeared first on DevOps.com.
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Here’s where MLOps is accelerating enterprise AI adoption
TechCrunch
NOVEMBER 18, 2021
DevOps fueled this shift to the cloud, as it gave decision-makers a sense of control over business-critical applications hosted outside their own data centers. But with time, enterprises overcame their skepticism and moved critical applications to the cloud.
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American Airlines takes flight with analytics transformation
CIO
SEPTEMBER 10, 2022
But because we had laid the foundation in 2019 for a product-oriented DevOps culture, we were able to pivot and reprioritize our work to quickly address pandemic-related customer issues, such as making it easier for customers to use travel credits from canceled flights.”. This was a huge change for our teams. American Airlines. “We
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The 10 most in-demand IT jobs in finance
CIO
SEPTEMBER 2, 2022
New technologies, such as cryptocurrency and digital banking, have the potential to bridge opportunity gaps in financial services that have existed for decades. But financial services companies need skilled IT professionals to help manage the integration of new and emerging technology, while modernizing legacy finance tech.
The 10 most in-demand IT jobs in finance
CIO
AUGUST 31, 2022
New technologies, such as cryptocurrency and digital banking, have the potential to bridge opportunity gaps in financial services that have existed for decades. But financial services companies need skilled IT professionals to help manage the integration of new and emerging technology, while modernizing legacy finance tech.
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