CIO

FEBRUARY 14, 2024

All of these additional machines, workloads, and services require trusted identities, which is amplifying the need for machine identity management.” Speed and agility are required for AI projects to be successful, so security needs to be built into the underlying cloud infrastructure of AI projects from the start,” he adds.

Artificial Inteligence 356

Artificial Inteligence Generative AI Software Review Development Team Review 356

Cloudera

DECEMBER 6, 2021

All three organizations have partnered with Cloudera, leveraging a hybrid or cloud-based architecture to improve the lives of the people who depend on their organizations’ data. The project demonstrates that meeting regulations and remaining agile are not objectives at odds with one another,” the company’s representative says.

Architecture 84

Architecture Cloud Data Chemicals 84

Perficient

NOVEMBER 28, 2023

At Perficient we extract the best of each language to shape an agile and efficient ecosystem. Capturing data in real time: IoT and Priority Security This dynamic environment is powered by microservices that capture data by integrating with devices through IoT (Internet of Things).

Innovation 52

Innovation Technology Artificial Inteligence Artificial Intelligence 52

Apiumhub

MARCH 12, 2024

The Evolution of Cloud Computing Trends Edge Computing Redefining Latency Edge computing is poised to revolutionize cloud architecture by decentralizing computing power. Technical Example : Edge Computing in IoT Scenario: In an IoT deployment, edge computing processes sensor data locally on edge devices, reducing latency and bandwidth usage.

Trends 52

Trends Innovation Cloud Serverless 52

OTS Solutions

JULY 18, 2023

By leveraging modern technologies and methodologies, they can streamline their operations, reduce costs, and improve agility. In recent years, the rise of cloud computing , the Internet of Things (IoT) , and big data analytics has transformed the way organizations approach digital engineering.

DevOps 130

DevOps Engineering Artificial Inteligence Software Review 130

IDC

APRIL 17, 2019

IDC has seen a rising buyer interest in cloud app-centric platforms and the agility that the cloud affords. The Benefits of Agile Cloud Content Apps. The new cloud content apps have an opportunity to leverage the elasticity and agility of the cloud to become future hyper-agile content apps. Maturity Matters.

Agile 61

Agile Innovation Artificial Inteligence Cloud 61

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. But first, solid foundations must be laid.

UI/UX 59

UI/UX Software Weak Development Team Artificial Inteligence 59

Gorilla Logic

MAY 19, 2021

Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. Create value from the Internet of Things (IoT) and connected enterprise. Ready to have a conversation about outsourcing your development to a top-ranked Agile development team?

Software Review 94

Software Review Technical Review Software Development Team Review 94

OTS Solutions

JULY 18, 2023

By leveraging modern technologies and methodologies, they can streamline their operations, reduce costs, and improve agility. In recent years, the rise of cloud computing , the Internet of Things (IoT) , and big data analytics has transformed the way organizations approach digital engineering.

DevOps 130

DevOps Engineering Artificial Inteligence Software Review 130

CIO

OCTOBER 13, 2022

Across industries, companies are modernizing IT infrastructure and wielding digital tools to increase organizational flexibility, agility, and resiliency in their efforts to stay abreast of the competition. AWS cloud infrastructure, in particular, has significant energy efficiency advantages. times more energy efficient than the average U.S.

Sustainability 147

Sustainability Artificial Inteligence AWS Data Center 147

Xicom

DECEMBER 26, 2018

An IoT development company is much in demand these days because Internet of Things (IoT) is slowly sprawling into the industrial sphere with each passing day. Any IoT developer that is able to create IoT apps for industries and large-scale businesses will be in much demand and will have the chance to become popular in the IT industry.

IoT 40

IoT Industry Artificial Inteligence Development 40

Gorilla Logic

JUNE 5, 2018

In this blog series, you will explore the rise of IoT and how Gorillas are adapting to the trend. In this post, I introduce IoT from an embedded software – or systems – perspective. On the other hand, if you don’t know what IoT is, then please make a quick search and we’ll wait for you. Some of the IoT Challenges.

IoT 47

IoT Software Serverless AWS 47

Cloudera

JANUARY 26, 2022

The hybrid cloud’s premise—two data architectures fused together—gives companies options to leverage those solutions and to address decision-making criteria, on a case-by-case basis. . At the time, the architecture typically included two tiers, where cloud providers hosted the backend and clients sent their requests via web applications. .

Cloud 88

Cloud Data Architecture Operating System 88

d2iq

JUNE 23, 2022

Like the AWS Summits in Atlanta and Washington DC, the big trends AWS is highlighting at the New York Summit are artificial intelligence (AI), machine learning (ML), analytics, business intelligence, modern applications based on containers, and the Internet of Things (IoT).These

AWS 78

AWS Artificial Inteligence DevOps Guidelines 78

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 105

Artificial Inteligence Course Training Blockchain 105

Apiumhub

MARCH 14, 2023

An architecture, a design philosophy, and a selection of elements like utility classes and helpers are frequently included in a software development framework. Artificial intelligence and machine learning integration : adoption of AI and machine learning in business applications is increasing.

Software Development 78

Software Development Software Artificial Inteligence Development 78

Trigent

MARCH 10, 2023

As supply chains and logistics become increasingly digitalized, organizations are looking to develop capabilities for a digital ecosystem to make their operations more resilient and agile. Discover how Hyperautomation can help you automate and optimize your processes for increased efficiency and agility.

Artificial Inteligence 52

Artificial Inteligence Transportation Analytics Artificial Intelligence 52

Cloudera

AUGUST 3, 2021

Toyota weathered the early chip shortage well with agile and robust supply chains, only to be caught with final assembly production shortages due to consumers rushing to their once robust availability. . Digital Transformation is not without Risk. Open source solutions reduce risk.

Analytics 109

Analytics Open Source Government Machine Learning 109

Hu's Place - HitachiVantara

JANUARY 3, 2019

Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. AI and machine learning are becoming widely adopted in home appliances, automobiles, plant automation, and smart cities. Building an AI or machine learning model is not a one-time effort.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

Apiumhub

JUNE 22, 2021

Same as last year, the event offers six workshops (crash-course) themes, each dedicated to a unique domain area: Data-driven Strategy, Analytics & Visualisation, Machine Learning, IoT Analytics & Data Management, Data Management and Data Engineering. Data Innovation Summit topics.

Innovation 84

Innovation Data Technical Review Artificial Inteligence 84

OTS Solutions

JUNE 16, 2023

Application modernization is the process of updating or replacing outdated software applications and infrastructure to improve performance, scalability, and business agility. The goal of rehosting is to provide an application with a more flexible, scalable, and cost-effective infrastructure, without changing its functionality or architecture.

Artificial Inteligence 130

Artificial Inteligence How To Technical Review Software Review 130

O'Reilly Media - Ideas

MAY 1, 2019

Get hands-on training in machine learning, blockchain, cloud native, PySpark, Kubernetes, and many other topics. Learn new topics and refine your skills with more than 160 new live online training courses we opened up for May and June on the O'Reilly online learning platform. AI and machine learning.

Course 46

Course Training Artificial Inteligence Machine Learning 46

O'Reilly Media - Ideas

APRIL 3, 2019

Learn new topics and refine your skills with more than 150 new live online training courses we opened up for April and May on the O'Reilly online learning platform. AI and machine learning. Deep Learning from Scratch , April 19. Beginning Machine Learning with Pytorch , May 1. Blockchain. Programming.

Course 48

Course Artificial Inteligence Training Google Cloud 48

OTS Solutions

JUNE 16, 2023

Application modernization is the process of updating or replacing outdated software applications and infrastructure to improve performance, scalability, and business agility. Refactored app applications are easier to maintain and modify than legacy systems, reducing the cost of operations, enhancing agility, and boosting productivity.

Artificial Inteligence 130

Artificial Inteligence How To Technical Review Software Review 130

Linux Academy

JANUARY 26, 2019

Big Data systems feeding machine learning and artificial intelligence are a prime example of why cloud computing is growing faster than any other segment of the computing infrastructure industry. Consumers will soon go beyond smartphones and tablets and start using wearables, connected cars, and other IoT devices more than ever before.

Cloud 60

Cloud Artificial Inteligence Data Center Artificial Intelligence 60

Cloudera

AUGUST 22, 2021

I studied Commerce majoring in Economics at university and when I first started in the software industry, cloud was a much less ubiquitous term than it is today but the economics of using cloud, reducing inefficient spend, removing the barrier for innovation and agility, and the flexibility it gives organisations made so much sense to me. .

Cloud 104

Cloud Artificial Inteligence CTO Coach Strategy 104

Capgemini

OCTOBER 2, 2019

It improves agility, streamlines development and deployment operations, increases scalability, and optimizes resources, but choosing the right container orchestration layer for applications can be a challenge. AKS supports common tools such as TensorFlow and Kubeflow to simplify the training of machine-learning models.

Azure 40

Azure IoT Microservices Load Balancer 40

O'Reilly Media - Ideas

JANUARY 2, 2019

Get hands-on training in Python, Java, machine learning, blockchain, and many other topics. Learn new topics and refine your skills with more than 250 new live online training courses we opened up for January, February, and March on our online learning platform. AI and machine learning.

Course 60

Course Artificial Inteligence Training Blockchain 60

OTS Solutions

DECEMBER 4, 2023

Private cloud architecture is an increasingly popular approach to cloud computing that offers organizations greater control, security, and customization over their cloud infrastructure. What is Private Cloud Architecture? Why is Private Cloud Architecture important for Businesses?

Architecture 130

Architecture Cloud Disaster Recovery Scalability 130

d2iq

JUNE 13, 2022

The surge in cloud services adoption during the lockdowns emphasized the need for organizations to make their business and technology models more agile. Also at the top of the list was the need to capture, transform, and deliver AI at scale, as well as the need to innovate with edge and IoT technologies.

Enterprise 81

Enterprise Cloud Artificial Inteligence Open Source 81

Trigent

APRIL 14, 2022

The solution came in the form of an Intelligent Edge solution from FogHorn that makes complex machine learning modules run on highly constrained devices. With upcoming 5G rollouts, massive IoT networks, mmWave, and network slicing requirements, their cloud and edge capabilities will be of an entirely different scale.

Enterprise 52

Enterprise Technology Artificial Inteligence IoT 52

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.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning Infrastructure 52

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.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning Technical Review 52

Altexsoft

AUGUST 9, 2019

Let’s examine one of the most cutting-edge technologies out there – machine learning – and how the need for reliable, cost-efficient processing power has facilitated the development of software-defined networking. Artificial Intelligence and Machine Learning. Why Machine Learning Needs SD-WAN.

Artificial Inteligence 13

Artificial Inteligence WAN Machine Learning Artificial Intelligence 13

Zensar

JUNE 28, 2019

Gaining agility and experience through digital tools. Connected Intelligence includes all emerging technologies such as Blockchain, IoT, Drones, Mobility, Apps, Cloud, Augmented Reality , Virtual Reality, and Analytics. Gain Machine learning insights to segment customers. Digital crossover across the business processes.

Industry 45

Industry Artificial Inteligence Insurance IoT 45

Cloudera

AUGUST 30, 2018

Cloud service architecture – storing and accessing data and services over the Internet instead of your data center or local computer’s hard drive. Machine learning driven business – A focus on the design of systems that can learn from and make decisions and predictions based on data.

Enterprise 40

Enterprise Machine Learning Artificial Inteligence Budget 40

Actian

MARCH 3, 2020

Over the past few years, IT organizations are increasingly being asked to automate the systems and processes involved in integrating and preparing their data for reporting, leveraging things like active metadata, artificial intelligence (AI) / machine learning (ML) algorithms, and knowledge graphs. What is a Data Fabric?

Data 40

Data Artificial Inteligence Artificial Intelligence IoT 40