CIO

SEPTEMBER 12, 2022

The chief information and digital officer for the transportation agency moved the stack in his data centers to a best-of-breed multicloud platform approach and has been on a mission to squeeze as much data out of that platform as possible to create the best possible business outcomes.

Data Engineering 290

Data Engineering Engineering Data Transportation 290

Cloudera

DECEMBER 20, 2022

In this respect, several studies project that a proper use of advanced analytics implies savings of between 5% and 7.5%. For example, predictive maintenance, based on machine learning, will enable utility companies to take preventative action that avoids large-scale power outages and costs.

Energy 79

Energy Analytics Data Machine Learning 79

O'Reilly Media - Data

SEPTEMBER 12, 2018

Watch highlights from expert talks covering data science, machine learning, algorithmic accountability, and more. People from across the data world are coming together in New York for the Strata Data Conference. The future of data warehousing. Watch " The future of data warehousing.". Watch " Wait.

Conference 141

Conference Machine Learning Artificial Inteligence Data 141

Hu's Place - HitachiVantara

JANUARY 10, 2019

I will cover our strategy for utilizing it in our products and provide some example of how it is utilized to enable the Smart Data Center. This gives us the opportunity to not only connect with other vendor’s management stacks, but also apply analytics and machine learning and automate deployment of resources through REST APIs.

Data Center 73

Data Center Strategy Data Storage 73

CIO

OCTOBER 13, 2022

As businesses and enterprises expand horizontally or vertically, they add to their IT estate whether that is through cloud or private data centers,” notes Nalini Manuru, Business Development Manager at IBM. “As In fact, self-owned data centers and IT equipment are a major source of energy usage and carbon emissions for enterprises.

Sustainability 147

Sustainability Artificial Inteligence AWS Data Center 147

TechCrunch

MARCH 30, 2021

built out a novel technology to collect weather data using wireless network infrastructure and IoT devices. Last year, the firm acquired 365 Data Centers , but it is also backing the Denver-based freight rail company Alpenglow Rail, for example. That’s also, at least in part, where the name change comes from.

Wireless 240

Wireless .Net IoT Data Center 240

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.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

Apiumhub

MARCH 12, 2024

Rather than relying solely on centralized data centers, edge computing distributes computational processes closer to the source of data generation. 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

CIO

APRIL 8, 2024

Nel 2019 ho valutato un importante progetto cloud per l’azienda in cui lavoravo in quel momento, e che aveva l’esigenza di cambiare il data center e avere più storage. Io chiedo al data center una potenza elaborativa con un certo servizio, ma non è cloud. Costa di più, ma non ho sorprese sui costi”, afferma il manager.

Cloud 130

Cloud Disaster Recovery Data Center Unified Communications 130

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

Ivanti

JUNE 15, 2021

I – Ivanti, Inventory, Images, InstallEase, IoT, Identity and Access Management, iOS, iPadOS. M – Modern Device Management (MDM), Monitoring, Multicast, Managed Systems, MobileIron, MacOS, Medical Devices, Machine Learning (ML). It has captured other IoT devices and even my house guests’ phones when they join my network.

IoT 52

IoT Linux Windows Virtualization 52

Cloudera

JANUARY 26, 2022

So private clouds, or on-premises data centers, became more suitable for sensitive data. As the latest technology—edge computing, machine learning, and IoT—continues to evolve along with cloud computing, analysts are expecting hybrid cloud adoption to accelerate. .

Cloud 83

Cloud Data Architecture Virtualization 83

Hu's Place - HitachiVantara

NOVEMBER 11, 2018

Private clouds are not simply existing data centers running virtualized, legacy workloads. REAN Cloud is a global cloud systems integrator, managed services provider and solutions developer of cloud-native applications across big data, machine learning and emerging internet of things (IoT) spaces.

Cloud 78

Cloud Google Cloud Azure AWS 78

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

APRIL 21, 2020

My recent blog posts have described the changing nature of IT infrastructure, the demise of the on-premises data center, and the effects on traditional IT and I&O organizations. There’s another interesting aspect to consider: How does the digital transformation era impact channels organizations serving traditional IT organizations?

Technical Review 52

Technical Review Innovation Software Review Development Team Review 52

Perficient

MARCH 3, 2023

Finally, you can further optimize the content experience with Adobe and AWS Solutions and service such as: Adobe Sensei, an industry-leading AI, machine learning solution to cut the time spent on tedious tasks like tagging, cropping, and adapting assets for each channel and device. For more information on this please read this article.

AWS 64

AWS Technical Review Load Balancer Cloud 64

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. High-level example of a common machine learning lifecycle.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning IoT 52

Kaseya

MAY 13, 2021

In addition, you can also take advantage of the reliability of multiple cloud data centers as well as responsive and customizable load balancing that evolves with your changing demands. Analytics and Intelligence Capabilities. According to Forbes, 63% of enterprises are currently running apps on Azure. Cost Efficiency.

Google Cloud 122

Google Cloud Azure AWS Cloud 122

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

d2iq

MARCH 13, 2023

Reinventing Retail as Entertainment Retailers are creating experiential shopping experiences using a host of leading-edge technologies, including AI, augmented reality, virtual reality, edge/IoT, streaming video, mobile apps, touchscreens, giant displays, robotics, 5G networks, holograms, and 3-D printing.

Retail 72

Retail Artificial Inteligence Virtualization Artificial Intelligence 72

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. . It keeps me going. .

Cloud 103

Cloud Artificial Inteligence CTO Coach Strategy 103

Palo Alto Networks

FEBRUARY 21, 2020

NTA is a category of technologies designed to provide visibility into things like traffic within the data center (east-west traffic), VPN traffic from mobile users or branch offices, and traffic from unmanaged IoT devices. The ability to connect network data to endpoint and cloud data is one of the core benefits of XDR.

Firewall 57

Firewall Analysis Network How To 57

Trigent

APRIL 14, 2022

The data was being processed remotely by a cloud server, and response time was slow. The solution came in the form of an Intelligent Edge solution from FogHorn that makes complex machine learning modules run on highly constrained devices. CSPs have blurred the line between enterprise and carrier cloud with their offerings.

Enterprise 52

Enterprise Technology Artificial Inteligence IoT 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.

Artificial Inteligence 13

Artificial Inteligence WAN Machine Learning Artificial Intelligence 13

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

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

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

Actian

FEBRUARY 24, 2020

Still, the underlying premise is the same – in a post-digital transformation environment, companies need the ability to leverage a wide variety of technology components to support their business: IoT, cloud services, mobile devices, SaaS software, and traditional IT systems.

Artificial Inteligence 40

Artificial Inteligence IoT Artificial Intelligence Mobile 40

Altexsoft

MARCH 30, 2020

the fourth industrial revolution driven by automation, machine learning, real-time data, and interconnectivity. Similar to preventive maintenance, PdM is a proactive approach to servicing of machines. It preprocesses and filters data from IIoT thus reducing its amount before feeding to the data center.

Artificial Inteligence 72

Artificial Inteligence Machine Learning Technical Review IoT 72

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. Why should you Choose OTS Solutions to Modernize your applications?

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

Cloudera

SEPTEMBER 4, 2020

The Future Of The Telco Industry And Impact Of 5G & IoT – Part 3. To continue where we left off, how are ML and IoT influencing the Telecom sector, and how is Cloudera supporting this industry evolution? Hi Vijay, thank you so much for joining us again.

IoT 92

IoT Industry Machine Learning Artificial Inteligence 92

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

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

Existek

JANUARY 11, 2022

The cloud computing market covers many areas like business processes, infrastructure, platform, security, management, analytics supported by cloud providers. Along with meeting customer needs for computing and storage, they continued extending services by presenting products dealing with analytics, Big Data, and IoT.

Azure 52

Azure AWS Cloud How To 52

Mobilunity

MAY 20, 2021

There are 175 different services available, and it also incorporates AI, machine learning, and 5G. The system is known for great data analysis tools, AI, machine learning, scalability, existing third-party services, and pre-made solutions. And it is partnering with Azure to combine data centers.

Engineering 52

Engineering Cloud Google Cloud Azure 52