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.

Artificial Inteligence 89

Artificial Inteligence Machine Learning Architecture Training 89

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.

Artificial Inteligence 103

Artificial Inteligence Machine Learning Technical Review Software Review 103

Blue Sentry

MAY 17, 2021

In particular, deep learning, machine learning, and AI tend to be the three trickiest to pin down. Despite machine learning and AI embedding into. The post Kubernetes and Artificial Intelligence/Machine Learning (AI/ML) — Four Things to Understand Today appeared first on Blue Sentry.

Artificial Inteligence 59

Artificial Inteligence Artificial Intelligence Machine Learning Technology 59

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 […].

Microservices 99

Microservices Enterprise Architecture Applications 99

CIO

SEPTEMBER 8, 2023

And, in late 2021, J&J introduced AI knee and hip implant machine-learning driven predictions specifically for TKA and THA implant sizing and patient surgical needs — a project that earned the company a 2023 CIO 100 Award for IT innovation and leadership.

Artificial Inteligence 264

Artificial Inteligence Healthcare Weak Development Team Machine Learning 264

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. Machine learning was about comparing a lot of inputs.

Artificial Inteligence 235

Artificial Inteligence Technical Review B2C B2B 235

Dzone - DevOps

MARCH 7, 2024

We moved from monolithic applications to microservices. We now have many databases, both SQL and NoSQL, and specific solutions for domains like machine learning. What We Have and What We Lack We went through a big transformation in recent decades. We deploy changes many times a day, and we use multiple platforms together.

DevOps 92

DevOps How To Microservices Machine Learning 92

TIBCO - Connected Intelligence

OCTOBER 19, 2020

One way to build this agility is by evolving to a microservices architecture. Microservices are very small units of executable code. Microservices can be used to break up monoliths into individual, highly cohesive business services that are deployed in containers and serverless environments. Click To Tweet.

Microservices 49

Microservices AWS Applications How To 49

OverOps

MAY 15, 2019

Technical debt is bound to accumulate at every company, whether it’s a mammoth Enterprise or a bright-eyed AI-Machine-Learning-Blockchain startup. Microservices to the rescue? Microservices allow us to redesign and rewrite critical elements within a codebase in parallel to the old methods and code that’s currently in use.

Microservices 273

Microservices Weak Development Team How To Architecture 273

Dzone - DevOps

MARCH 17, 2023

AWS Fargate works with Amazon Elastic Container Service (ECS) and Amazon Elastic Kubernetes Service (EKS) , supporting a range of container use cases such as machine learning applications, microservices architecture apps, on-premise app migration to the cloud, and batch processing tasks.

Lambda 94

Lambda Serverless AWS Microservices 94

CIO

APRIL 11, 2023

It begins at the development stage, in which the business service owner, the solution architect, and the technology team all work together to develop effective microservices. A cloud-native approach drives innovation in several ways. The second important characteristic of cloud-native applications is their flexibility.

Innovation 340

Innovation Cloud Fintech Azure 340

Netflix Tech

MARCH 7, 2024

Berg , Romain Cledat , Kayla Seeley , Shashank Srikanth , Chaoying Wang , Darin Yu Netflix uses data science and machine learning across all facets of the company, powering a wide range of business applications from our internal infrastructure and content demand modeling to media understanding.

System 90

System Machine Learning Artificial Inteligence Training 90

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.

Artificial Inteligence 130

Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

The Crazy Programmer

FEBRUARY 13, 2022

This launch will expand their current 20+ API-based products and bring seamless and effective microservices to more than one million developers. Another important thing is this marketplace brings ahead both paid and free versions in categories like Machine Learning , Natural Language Processing (NLP), and Security.

Microservices 173

Microservices Machine Learning Artificial Inteligence Scalability 173

AWS Machine Learning - AI

APRIL 11, 2024

The company is combining this expertise with the highly scalable, reliable, and secure AWS Cloud infrastructure to help customers run advanced graphics, machine learning, and generative AI workloads at an accelerated pace. NVIDIA is known for its cutting-edge accelerators and full-stack solutions that contribute to advancements in AI.

Generative AI 96

Generative AI Artificial Inteligence AWS Innovation 96

DevOps.com

MAY 7, 2021

The pace of change can be managed successfully by defining service level objectives and more in dev environments Mobile applications, data lakes, microservices, data visualizations, SaaS integrations, automations, IoT data streams, machine learning models—in proof of concepts, pilots and scaling production environments, for customer-facing capabilities (..)

Microservices 106

Microservices IoT Machine Learning Artificial Inteligence 106

TechCrunch

NOVEMBER 18, 2020

He believes Instana will help ease that load, while using machine learning to provide deeper insights. “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.”

Artificial Inteligence 292

Artificial Inteligence Cloud Artificial Intelligence Microservices 292

CIO

JUNE 13, 2023

Once wild and seemingly impossible notions such as large language models, machine learning, and natural language processing have gone from the labs to the front lines. Some of the newer architectures such as microservices and serverless designs offer better protections but often come with troubles of their own.

Innovation 363

Innovation Artificial Inteligence Weak Development Team Airlines 363

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.

Artificial Inteligence 130

Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

TechCrunch

FEBRUARY 17, 2021

And as enterprises move from on-premises software to the cloud and to microservices and DevOps, the need for better DevSecOps tools is only increasing. One interesting aspect of Spectral’s approach, which uses a machine learning model to detect these breaches across programming languages, is that it also scans public-facing systems.

Machine Learning 179

Machine Learning Artificial Inteligence DevOps Microservices 179

CIO

SEPTEMBER 2, 2022

You’ll be required to write code, troubleshoot systems, fix bugs, and assist with the development of microservices. In-demand skills for the role include programming languages such as Scala, Python, open-source RDBMS, NoSQL, as well as skills involving machine learning, data engineering, distributed microservices, and full stack systems.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

CIO

AUGUST 31, 2022

You’ll be required to write code, troubleshoot systems, fix bugs, and assist with the development of microservices. In-demand skills for the role include programming languages such as Scala, Python, open-source RDBMS, NoSQL, as well as skills involving machine learning, data engineering, distributed microservices, and full stack systems.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

Dzone - DevOps

DECEMBER 3, 2023

Companies are adopting modern architectures like microservices, serverless computing, and utilizing the latest AI and machine learning techniques. In an era defined by the relentless drive towards digital transformation, IT landscapes are continuously evolving.

System 59

System Analysis Serverless Microservices 59

TechCrunch

SEPTEMBER 15, 2021

So every time a new ETL pipeline is built or a machine learning model is receiving new source code, we do a compiler-like analysis of how personal sensitive data is flowing between internal microservices, data lakes and data warehouses, and then get a metadata analysis back to the privacy and compliance professionals [inside an organization].”

Compliance 226

Compliance Microservices Policies Machine Learning 226

O'Reilly Media - Ideas

JUNE 8, 2021

Libraries for linear algebra are still important ( LAPACK ), some modeling applications are still in use ( NEC4 , used to design antennas), and even some important libraries used primarily by other languages (the Python machine learning library scikit-learn is written in Fortran).

Infrastructure 145

Infrastructure Microservices Machine Learning Artificial Inteligence 145

Existek

MAY 8, 2023

With Azure, developers can host.NET applications in the cloud, use cloud-based storage and databases, and leverage a range of other cloud-based services, such as machine learning and analytics. Machine learning and AI: what is.NET used for? Microservices: what is.NET used for? IoT development: what is.NET used for?

Artificial Inteligence 52

Artificial Inteligence .Net Machine Learning Microservices 52

Existek

MAY 8, 2023

With Azure, developers can host.NET applications in the cloud, use cloud-based storage and databases, and leverage a range of other cloud-based services, such as machine learning and analytics. Machine learning and AI: what is.NET used for? Microservices: what is.NET used for? IoT development: what is.NET used for?

Artificial Inteligence 52

Artificial Inteligence .Net Machine Learning Microservices 52

TechCrunch

OCTOBER 7, 2021

Specifically, they saw an opportunity to address a particular gap: Uber built its own observability platform from the ground up to handle its particular mix of microservices and containers because, as Mao described it, the Googles of the world had built their own, “so we followed the same path.”

Cloud 209

Cloud Sport Open Source Machine Learning 209

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.

Course 107

Course Training Artificial Inteligence Microservices 107

CIO

AUGUST 7, 2023

of enterprises are willing to pay more for machine learning and AI functionality in their enterprise software, while 24% expect it to be included in the product price. Whether new features such as AI should cost extra is a divisive topic. In another recent piece of research, IDC found that 26.7%

Enterprise 130

Enterprise Applications Software Review Study 130

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

Artificial Inteligence 83

Artificial Inteligence Cloud Artificial Intelligence Microservices 83

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.

Artificial Inteligence 105

Artificial Inteligence Trends Artificial Intelligence Microservices 105

O'Reilly Media - Ideas

SEPTEMBER 1, 2020

There is serious talk of a “ Deep Learning recession ” due, among other things, to a collapse in job postings. An excellent analysis of participation in machine learning: how it is used, and how it could be used to build fair systems and mitigate power imbalances. Cloud and Microservices. Is this it?

Trends 134

Trends Artificial Inteligence Blockchain Software Review 134

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.

Artificial Inteligence 93

Artificial Inteligence Artificial Intelligence Microservices Machine Learning 93

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.

Software Review 52

Software Review Software Development Trends Artificial Inteligence 52

O'Reilly Media - Ideas

DECEMBER 5, 2018

Get hands-on training in Kubernetes, machine learning, blockchain, Python, management, and many other topics. Learn new topics and refine your skills with more than 120 new live online training courses we opened up for January and February on our online learning platform. Artificial intelligence and machine learning.

Artificial Inteligence 104

Artificial Inteligence Course Training Blockchain 104

CIO

OCTOBER 24, 2023

Over the past few years, CIOs have focused on enabling hybrid work, driving efficiencies through automation, modernizing applications, enabling machine learning predictions, and maturing the data-driven organization.

Technical Advisors 363

Technical Advisors Technical Review Artificial Inteligence Generative AI 363