Actian

OCTOBER 19, 2018

Whether we’re talking about traditional data center applications or mobile and IoT applications at the Edge, we know that developers are crucial recommenders if not final decision makers about which software is selected on any given project.

IoT 40

IoT Mobile Development Cloud 40

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

Cloudera

JANUARY 26, 2022

Modern, real-time businesses require accelerated cycles of innovation that are expensive and difficult to maintain with legacy data platforms. 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. .

Cloud 84

Cloud Data Architecture Operating System 84

Hu's Place - HitachiVantara

JANUARY 3, 2019

Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. ” Deployments of large data hubs have only resulted in more data silos that are not easily understood, related, or shared. Happy New Year and welcome to 2019, a year full of possibilities.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

Datavail

MARCH 4, 2020

They’re finding it almost impossible to co-opt their legacy database technology for use with cutting-edge data sources like Artificial Intelligence (AI) and the Internet of Things (IoT). For years, companies have invested in data centers (and, more recently, cloud services) to store and manage their growing data lakes.

Artificial Inteligence 52

Artificial Inteligence Data Artificial Intelligence IoT 52

Capgemini

MAY 20, 2020

The e merging need to deploy data-centered decision is an opportunity to accelerate modernization initiatives with current cloud technology. . It is high time to treat data and analytics infrastructure s as enterprise engine s of value creation and fast-track their data modernization efforts.? .

Infrastructure 64

Infrastructure Data Retail Analytics 64

Cloudera

AUGUST 22, 2021

And yet, we are only barely scratching the surface of what we can do with newer spaces like Internet of Things (IoT), 5G and Machine Learning (ML)/Artificial Intelligence (AI) which are enabled by cloud. Cloud-enabled use cases like IoT and ML/AI are being used at scale by customers across APAC. . That sounds painful!

Cloud 103

Cloud Artificial Inteligence CTO Coach Strategy 103

Perficient

MARCH 3, 2023

AEM Platform Overview A standard AEM architecture consists of three environments: author, publish, and dispatcher. Also, AEM can be used to augment or create headless commerce architectures seamlessly. Each of these environments consists of one or more instances. You can download it here.

AWS 64

AWS Technical Review Load Balancer Cloud 64

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

Altexsoft

AUGUST 12, 2020

IoT solutions have become a regular part of our lives. A door automatically opens, a coffee machine starts grounding beans to make a perfect cup of espresso while you receive analytical reports based on fresh data from sensors miles away. This article describes IoT through its architecture, layer to layer.

IoT 140

IoT Architecture Wireless Transportation 140

Kentik

MARCH 7, 2018

However, in this post and the next, I’d like to take a closer look at the unique challenges of managing network performance inside the new generation of hyperscale data centers supporting the delivery of cloud-scale applications. applications. McKinsey offers a typical definition: “We define Industry 4.0 Industry 4.0 Industry 4.0

Industry 40

Industry Data Center WAN Big Data 40

Altexsoft

JANUARY 22, 2020

With the uprise of internet-of-things (IoT) devices, overall data volume increase, and engineering advancements in this field led to new ways of collecting, processing, and analysing data. As a result, it became possible to provide real-time analytics by processing streamed data.

Analytics 20

Analytics Data IoT Analysis 20

Trigent

APRIL 14, 2022

With upcoming 5G rollouts, massive IoT networks, mmWave, and network slicing requirements, their cloud and edge capabilities will be of an entirely different scale. When Ducati, a global automotive giant, undertook a data center modernization project, they expected gains, but that was not how it turned out. Do give us a call.

Enterprise 52

Enterprise Technology Artificial Inteligence IoT 52

Actian

FEBRUARY 13, 2020

Does your company have a real-time connected data warehouse where you can aggregate data flowing in from all of your IT systems together with streaming data from IoT, mobile, and SaaS services? Can you easily connect your on-premise, cloud, and multi-cloud systems to enable centralized analytics?

Infrastructure 40

Infrastructure Cloud Data Analytics 40

DataRobot

MARCH 10, 2022

This “revolution” stems from breakthrough advancements in artificial intelligence, robotics, and the Internet of Things (IoT). These initiatives utilize interconnected devices and automated machines that create a hyperbolic increase in data volumes. IoT Empowered Assembly Lines: Predictive Maintenance.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning IoT 52

Trigent

MARCH 24, 2021

AIOps are multi-layered technology platforms that collate data from multiple tools and devices within the IT environment to spot and resolve real-time issues while providing historical analytics. 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

AIOps are multi-layered technology platforms that collate data from multiple tools and devices within the IT environment to spot and resolve real-time issues while providing historical analytics. 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

OTS Solutions

JUNE 16, 2023

For example, cloud computing, artificial intelligence, and the Internet of Things (IoT) have the potential to transform how companies operate and deliver services to their applications, businesses can leverage these technologies to improve efficiency and stay competitive.

Artificial Inteligence 130

Artificial Inteligence How To Technical Review Software Review 130

Actian

FEBRUARY 3, 2020

The rapid growth and adoption of commercially available cloud services meant that companies could forgo expensive hardware upgrades and the overhead maintenance costs of data centers and instead pay for IT resources and capacity based on utilization. Are you ready to support data analysis augmented by Machine Learning and AI?

Marketing 40

Marketing Data Analytics Cloud 40

OTS Solutions

JUNE 16, 2023

For example, cloud computing, artificial intelligence, and the Internet of Things (IoT) have the potential to transform how companies operate and deliver services to their applications, businesses can leverage these technologies to improve efficiency and stay competitive.

Artificial Inteligence 130

Artificial Inteligence How To Technical Review Software Review 130

Cloudera

AUGUST 30, 2018

Consider the following practices that, until recently, were relegated to the R&D department: Data-driven decision making – the collection and analysis of data to guide decisions that improve success. Complicating matters is the increasing focus on data protection and the far-reaching implications of IoT (e.g.

Enterprise 40

Enterprise Machine Learning Artificial Inteligence Budget 40

TIBCO - Connected Intelligence

JANUARY 25, 2021

The difference between the two has gotten even less concrete with the rise of Industrial IoT (IIoT) and the big push with Industry 4.0 It’s time to start thinking about mass customization instead of mass production, enabled by cutting-edge cloud-based integration and architectures. methodologies. In short, IT and OT are converging.

IoT 32

IoT Industry Agile Cloud 32

Cloudera

SEPTEMBER 5, 2018

While the Internet of Things (IoT) represents a significant opportunity, IoT architectures are often rigid, complex to implement, costly, and create a multitude of challenges for organizations. An Open, Modular Architecture for IoT.

IoT 47

IoT Architecture Machine Learning Artificial Inteligence 47

Zayo

JANUARY 30, 2019

With the proliferation of new technology, including AI, IoT, 5G and blockchain, enterprises have more data and workloads to manage than ever before. Enterprises often use AWS for storage and computing large data sets, Azure for its open development platform and GCP for detailed data analytics, AI and machine learning applications.

Trends 40

Trends Cloud Wireless Azure 40

CIO

AUGUST 23, 2023

We’ve historically operated as independent companies, each operating with its own technology, architecture, and support models. What’s your target modernized architecture? With our decentralized structure, we had a lot of data centers and hosting providers. IoT in the production lines creates a lot of data.

Innovation 200

Innovation Architecture Strategy Backup 200

Mobilunity

MAY 20, 2021

For example, they can create custom applications, help with the migration of existing data, and manage and support cloud architectures. Such employees need to have wide coding experience, know particular languages and technology stack, and understand the cloud architecture. rate each year. Cloud Architect. Alibaba Cloud.

Engineering 52

Engineering Cloud Google Cloud Azure 52

d2iq

JANUARY 23, 2023

We have entered the next phase of the digital revolution in which the data center has stretched to the edge of the network and where myriad Internet of Things (IoT) devices gather and process data with the aid of artificial intelligence (AI).As Gartner also sees the distributed enterprise driving computing to the edge.

Artificial Inteligence 69

Artificial Inteligence Artificial Intelligence IoT Data Center 69

CIO

JULY 11, 2022

The shift to the public cloud from private data centers has been swift and sweeping, and cloud-based applications are the new standard. Bringing computing and analytics closer to data sources allows for faster processing and opens new possibilities for IoT applications. Next-gen security architecture.

WAN 256

WAN Firewall Wireless LAN 256

Altexsoft

MARCH 30, 2020

But such improvements require significant investments in IT infrastructure and expertise — namely, in industrial IoT (IIOT) sensors, analytics software with machine learning capabilities, services of data scientists and IT specialists, staff training. Analytical solution with machine learning capabilities.

Artificial Inteligence 72

Artificial Inteligence Machine Learning Technical Review IoT 72

CIO

DECEMBER 13, 2022

Cassandra’s early days In the mid-2000s, engineers at young, fast-growing Facebook had a problem: how could they store and access the mushrooming data created by Messenger, the platform that enabled users of the social networking site to communicate with one another? By 2013, most of Netflix’s data was housed in Cassandra.

Disaster Recovery 148

Disaster Recovery Open Source Data Center Scalability 148

Altexsoft

MARCH 31, 2020

It means you must collect transactional data and move it from the database that supports transactions to another system that can handle large volumes of data. Only after these actions can you analyze data with dedicated software (a so-called online analytical processing or OLAP system). But how do you move data?

Data 76

Data Storage Analytics Data Center 76

OTS Solutions

FEBRUARY 16, 2023

The front end in the cloud computing architecture includes the connection between computer networks and applications. It is the section where users can communicate and access the data and information. The back end in cloud computing architecture consists of the important materials required to provide cloud computing services.

Cloud 130

Cloud Artificial Inteligence Disaster Recovery Internet 130

Altexsoft

JULY 9, 2021

manufacturing — generate so much data that it causes traffic jams on the route to the servers. The elegant solution to this challenge is shifting some tasks from powerful, but remote data centers to smaller processors at the edge, or in direct proximity to IoT devices. Edge computing architecture.

IoT 59

IoT Azure Hardware USP 59

Cloudera

SEPTEMBER 15, 2023

This information is essential for the management of the telco business, from fault resolution to making sure families have the right content package for their needs, to supply chain dashboards for businesses based on IoT data. Access and the exchange of data is critical for managing the operations in many industries.

Telecommunications 78

Telecommunications AWS Strategy Data 78

Cloudera

FEBRUARY 4, 2019

One of the most promising technology areas in this merger that already had a high growth potential and is poised for even more growth is the Data-in-Motion platform called Hortonworks DataFlow (HDF). CDF, as an end-to-end streaming data platform, emerges as a clear solution for managing data from the edge all the way to the enterprise.

IoT 73

IoT Open Source Analytics Retail 73

Altexsoft

AUGUST 9, 2019

Looking at it another way, SD-WANs provide a means of pooling network capacity between connected data centers (and often cloud providers) using centrally-defined rules to respond efficiently to software bandwidth demands. Any rule changes or updates can be immediately applied and will rapidly propagate across the network.

Artificial Inteligence 13

Artificial Inteligence WAN Machine Learning Artificial Intelligence 13

Cloudera

MAY 9, 2023

The company also provides a variety of solutions for enterprises, including data centers, cloud, security, global, artificial intelligence (AI), IoT, and digital marketing services. Supporting Data Access to Achieve Data-Driven Innovation Due to the spread of COVID-19, demand for digital services has increased at SoftBank.

Data 88

Data Telecommunications Technical Review Artificial Intelligence 88