Blue Sentry

MAY 17, 2021

The post Kubernetes and Artificial Intelligence/Machine Learning (AI/ML) — Four Things to Understand Today appeared first on Blue Sentry. All three solutions are relatively complex, driven by cutting-edge technology, and highly dependent on digital transformation and tech-forward business models.

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DevOps.com

MAY 3, 2022

vFunction today added the ability to employ artificial intelligence (AI) to automatically assess the level of effort required to convert a monolithic Java application into a set of microservices.

Tools 111

Tools Artificial Intelligence Artificial Inteligence Microservices 111

TechBeacon

DECEMBER 2, 2020

In fact, the opposite is true, as organizations deepen their use of cloud computing, containers, and microservices. Faced with mounting IT complexity and legacy monitoring tools that fall short, IT leaders are turning toward AIOps — the application of artificial intelligence to IT operations.

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Artificial Intelligence Artificial Inteligence Trends Enterprise 138

TechCrunch

NOVEMBER 18, 2020

. “What really makes Instana stand out is its ability to automatically discover and monitor the ever-changing infrastructure that makes up a modern application, especially when it comes to running containerized microservices.” ” That would seem to be precisely the type of solution that IBM would be looking for.

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DevOps.com

SEPTEMBER 24, 2019

The Rise of Microservices Enterprise adoption of microservices is continuing to rise. Its popularity is so strong that 86% of development professionals internationally expect microservices to become the default application architecture within the next five years. At its core, a […].

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Microservices Enterprise Architecture Applications 99

CIO

FEBRUARY 14, 2023

Investments in artificial intelligence are helping businesses to reduce costs, better serve customers, and gain competitive advantage in rapidly evolving markets. Cloud-native apps, microservices and mobile apps drive revenue with their real-time customer interactions. Artificial Intelligence, IT Leadership

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Artificial Inteligence Strategy Data Machine Learning 290

CIO

JULY 11, 2023

In a relatively brief time span, technologies like cloud, edge computing, artificial intelligence, and IoT have taken center stage, and new innovative technologies keep emerging. Software ranges from large, one-piece mainframe programs to the small microservices of today’s native cloud environments. Granularity. Convergence.

IoT 189

IoT Artificial Intelligence Artificial Inteligence Retail 189

Perficient

NOVEMBER 28, 2023

At the center of digital transformation, we face the exciting challenge of creating an ecosystem driven by high-performance, interconnected microservices developed in diverse languages such as Java, C#, JavaScript, and Python. At Perficient we extract the best of each language to shape an agile and efficient ecosystem.

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Innovation Technology Artificial Inteligence Artificial Intelligence 52

CIO

JUNE 21, 2023

Sysco’s key ingredient: IT At its core, Recipe for Growth “relies heavily on Sysco being a great technology shop, getting rid of technical debt, migration to the cloud, delivering microservices and using artificial intelligence,” Peck says.

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Artificial Inteligence Technical Review B2C B2B 235

OTS Solutions

AUGUST 16, 2023

Artificial Intelligence (AI) and Machine Learning (ML) have been at the forefront of app modernization, helping businesses to streamline workflows, enhance user experience, and improve app security measures. Some examples of application modernization: Leveraging microservices Improving automation 3. A Comprehensive Guide.

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CIO

FEBRUARY 7, 2024

She considers the increasing adoption of cloud computing and microservice architectures to be top drivers of formalized API-first approaches. He also points to microservices and low-code/no-code platforms, which often leverage APIs as communication gateways.

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Technical Review Government Artificial Inteligence Software Review 312

CIO

AUGUST 22, 2023

It is driven by changes in customer expectations, opportunities to evolve employee experiences, and building differentiating capabilities with data, analytics, and artificial intelligence — all of which have no clear end point, nor are exclusively technology-focused.

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Technical Review Agile Artificial Intelligence Artificial Inteligence 246

Altexsoft

JUNE 6, 2019

Fast checkout, personalized recommendations, or instant access to customer care at any time are a few services that can be implemented with the help of artificial intelligence. The way to keep up with the market speed is to use microservices that can be changed, tested, and moved to production at the drop of a hat, according to Katie.

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TechBeacon

NOVEMBER 26, 2018

Developing applications for the cloud today means building containerized microservices. And increasingly, artificial intelligence (AI)—grounded in machine-learning (ML) models—is at the core of those cloud applications.

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Artificial Inteligence Artificial Intelligence Microservices Machine Learning 93

OTS Solutions

AUGUST 16, 2023

Artificial Intelligence (AI) and Machine Learning (ML) have been at the forefront of app modernization, helping businesses to streamline workflows, enhance user experience, and improve app security measures. Some examples of application modernization: Leveraging microservices Improving automation 3. A Comprehensive Guide.

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Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

AWS Machine Learning - AI

APRIL 11, 2024

AWS was delighted to present to and connect with over 18,000 in-person and 267,000 virtual attendees at NVIDIA GTC, a global artificial intelligence (AI) conference that took place March 2024 in San Jose, California, returning to a hybrid, in-person experience for the first time since 2019.

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d2iq

OCTOBER 12, 2022

The leading-edge digital technologies that CIO Jimi would have at his disposal today would include cloud-native containers, microservices, Kubernetes, CI/CD, GitOps, artificial intelligence (AI), machine learning (ML), edge computing, and the Internet of Things (IoT).These

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DevOps.com

JANUARY 11, 2019

trillion in 2018 on digital transformation technologies such as public cloud platforms, microservices and containers, edge computing, machine learning and artificial intelligence to improve […]. Enterprises spent $1.3 The post 5 Trends Transforming Digital and IT Operations Management appeared first on DevOps.com.

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Artificial Inteligence Trends Artificial Intelligence Microservices 105

O'Reilly Media - Ideas

DECEMBER 9, 2020

And individual O’Reilly members are looking to build and expand on their technical skills in everything from software architecture and microservices to AI and programming languages. Companies are increasingly interested in understanding how to successfully adjust to remote work and effectively manage time.

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CIO

SEPTEMBER 8, 2023

Artificial Intelligence, CIO 100, Healthcare Industry Trauma and spine are key opportunity areas to leverage the algorithm and platform.”

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Artificial Inteligence Healthcare Weak Development Team Machine Learning 264

Invid Group

FEBRUARY 28, 2023

Artificial intelligence and machine learning Software development is already evolving due to artificial intelligence (AI) and machine learning (ML), and this trend is expected to continue. This post will look at some of the significant trends to monitor in the upcoming years.

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Software Review Software Development Trends Artificial Inteligence 52

The Crazy Programmer

FEBRUARY 3, 2024

Artificial intelligence, mHealth apps, wearables, blockchain, remote patient monitoring, and advanced data analytics are just some of the latest technologies making their mark by Empeek’s team opinion. React Native, MongoDB, and microservices foster flexibility to refresh apps via over-the-air updates.

Healthcare 130

Healthcare Software Off-The-Shelf Compliance 130

CIO

JULY 19, 2023

With CTV, we can build microservices once, use them many times, and launch new products very quickly.” Artificial Intelligence, CIO, Data Architecture, Digital Transformation, IoT Platforms, IT Leadership, IT Strategy, Software Deployment, Software Development The silos were inhibiting our velocity.

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CIO

JUNE 13, 2023

Some of the newer architectures such as microservices and serverless designs offer better protections but often come with troubles of their own. Developers are re-evaluating their microservice and massive monolayers with an eye toward understanding how and when they collapse.

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CIO

OCTOBER 24, 2023

Organizations who think they can leverage artificial intelligence as a bolt-on to their existing digital transformation strategies are doomed to failure,” says Kjell Carlsson, head of data science strategy and evangelism of Domino.

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Technical Advisors Technical Review Artificial Inteligence Generative AI 363

RapidValue

FEBRUARY 18, 2021

Integration of Artificial Intelligence. Thanks to its numerous benefits, the global Artificial Intelligence market is expected to reach $267 billion by 2027. In addition to this, IDC predicts that 95% of the new microservices will be deployed in the containers by 2021. Increasing Need for Data Security.

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Trends Cloud Artificial Intelligence Artificial Inteligence 98

Exadel

FEBRUARY 27, 2023

Solution The first step to integrating IT solutions for AI implementation includes replatforming older apps, breaking monoliths into microservices, and connecting systems via APIs and other middleware. When integrating AI algorithms into enterprise software, you should start small, selecting systems that require minimal changes.

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Artificial Inteligence Artificial Intelligence How To Technical Review 52

OTS Solutions

MAY 2, 2023

Artificial intelligence and machine learning: Artificial and machine learning are critical technologies in digital transformation. With AI (Artificial Intelligence) and ML (Machine Learning), businesses can optimize productivity, reduce costs, and deliver personalized customer experiences.

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O'Reilly Media - Ideas

DECEMBER 5, 2018

Artificial intelligence and machine learning. Artificial Intelligence for Robotics , January 24-25. Artificial Intelligence: Real-World Applications , January 31. Microservices Architecture and Design , January 16-17. Domain-Driven Design and Event-Driven Microservices , January 22-23.

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Tandem

APRIL 2, 2024

With the ever-expanding set of emerging technologies — big data, machine learning (ML), artificial intelligence (AI), next-gen user experiences (UI/UX), edge computing, the Internet-of-things (IoT), microservices, and Web3 — there is a huge surface area to address.

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Capgemini

APRIL 20, 2022

Business functions are exposed as pre-built REST APIs following microservice principles. Figure 4 – DCP business-function microservices. Then, appropriate microservices and resources will be deployed to the user’s AWS account through Amazon Elastic Container Registry (Amazon ECR) and AWS CloudFormation. Solution architecture.

Cloud 52

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OverOps

JULY 1, 2019

This includes insight into which deployment or microservice an error came from, historical context around when an issue was first or last seen, correlation with system metrics, insight into the source code and state of related variables and more.

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O'Reilly Media - Ideas

SEPTEMBER 1, 2020

A draft document from NIST describes Four Principles of Explainable Artificial Intelligence. Cloud and Microservices. Microsoft announces Open Service Mesh for managing communications between microservices. It’s currently an incomplete draft, available (free) online. Is this it?

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DevOps.com

JANUARY 15, 2019

Kong today announced today two offerings that rely on artificial intelligence (AI) to automate the management of application programming interfaces (APIs).

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Trigent

MARCH 24, 2021

The rapid acceleration of digital transformation initiatives in the modern business landscape has brought emerging technologies such as artificial intelligence, machine learning, and automation to the fore. Artificial intelligence, machine learning, big data have all been spoken about extensively and form the very backbone of AIOps.

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RapidValue

NOVEMBER 3, 2019

Is it Worth Investing in Machine Learning and Artificial Intelligence for DevOps Efficiency? It is very clear that the future of application development is about intelligent systems, utilizing data that is being created and letting the systems learn on their own. By, Nairita Goswami, Marcom Specialist, RapidValue. .

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Artificial Inteligence Artificial Intelligence Machine Learning DevOps 14

Data Virtualization

DECEMBER 3, 2020

By engaging in digital transformation, organizations can easily leverage digital technologies such as artificial intelligence, interactive applications, and bots, to strengthen their fundamental business models while streamlining interactions. Digital transformation is top-of-mind for executives in all of the major companies.

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