TechCrunch

DECEMBER 6, 2022

But the competition, while fierce, hasn’t scared away firms like NeuReality , which occupy the AI chip inferencing market but aim to differentiate themselves by offering a suite of software and services to support their hardware.

Marketing 239

Marketing Hardware Part-Time VPE Data Center 239

CIO

FEBRUARY 10, 2023

Deploying new data types for machine learning Mai-Lan Tomsen-Bukovec, vice president of foundational data services at AWS, sees the cloud giant’s enterprise customers deploying more unstructured data, as well as wider varieties of data sets, to inform the accuracy and training of ML models of late.

Technical Advisors 261

Technical Advisors Cloud Technical Review AWS 261

CIO

JANUARY 4, 2023

As leaders in the HPC industry, we are worried about how to cool these data centers. Many are looking at innovative data center designs including modular centers and colocation. Deployed successfully around the globe, liquid cooling is becoming essential to future proofing data centers.

Artificial Inteligence 144

Artificial Inteligence Data Center Artificial Intelligence Analytics 144

Altexsoft

MARCH 30, 2020

Major cons: the need for organizational changes, large investments in hardware, software, expertise, and staff training. 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.

Artificial Inteligence 72

Artificial Inteligence Machine Learning Technical Review IoT 72

OTS Solutions

DECEMBER 4, 2023

It provides all the benefits of a public cloud, such as scalability, virtualization, and self-service, but with enhanced security and control as it is operated on-premises or within a third-party data center. It abstracts the underlying hardware, allowing administrators to define and control the entire infrastructure through code.

Architecture 130

Architecture Cloud Disaster Recovery Scalability 130

CIO

JANUARY 26, 2023

That way the group that added too many fancy features that need too much storage and server time will have to account for their profligacy. AppDynamics also offers a proprietary machine learning engine to turn historical data into a plan for efficient deployment.

Tools 284

Tools Cloud Artificial Inteligence Artificial Intelligence 284

Palo Alto Networks

NOVEMBER 30, 2022

They need to apply decryption and use the power of machine learning and inline deep learning to analyze vast amounts of data in order to block sophisticated attacks, which requires stopping zero-day attacks and preventing known threats across the many threat vectors. New Hardware Platform Releases.

Firewall 99

Firewall Data Center Hardware Malware 99

Dell EMC

OCTOBER 22, 2020

Applying machine learning to massive amounts of raw data requires a huge amount of computational power and storage. And, they were able to do it within the same footprint and with a public cloud experience delivered from their own on-premises data center.

Technology 78

Technology Data Center Machine Learning Artificial Inteligence 78

Kaseya

NOVEMBER 9, 2023

With the cloud, users and organizations can access the same files and applications from almost any device since the computing and storage take place on servers in a data center instead of locally on the user device or in-house servers.

Cloud 105

Cloud Disaster Recovery Artificial Inteligence Infrastructure 105

Perficient

NOVEMBER 24, 2023

This creates a cohesive system with seamless data accessibility and usage. Announced at Build in May, Azure AI Studio – a comprehensive suite of machine learning tools – integrates with Microsoft Fabric to build, train, and deploy machine learning (ML) models using data that’s readily accessible and reliable.

Artificial Inteligence 52

Artificial Inteligence Azure Machine Learning ChatGPT 52

Hu's Place - HitachiVantara

JANUARY 15, 2019

For lack of similar capabilities, some of our competitors began implying that we would no longer be focused on the innovative data infrastructure, storage and compute solutions that were the hallmark of Hitachi Data Systems. A REST API is built directly into our VSP storage controllers.

Systems Review 72

Systems Review Storage System Software Review 72

Kentik

MARCH 13, 2018

Hyperscale data centers are true marvels of the age of analytics, enabling a new era of cloud-scale computing that leverages Big Data, machine learning, cognitive computing and artificial intelligence. the compute capacity of these data centers is staggering.

Data Center 40

Data Center Artificial Inteligence Data Load Balancer 40

Cloudera

NOVEMBER 28, 2023

Cloudera Private Cloud Data Services is a comprehensive platform that empowers organizations to deliver trusted enterprise data at scale in order to deliver fast, actionable insights and trusted AI. This means you can expect simpler data management and drastically improved productivity for your business users.

Data 82

Data Scalability Analytics Quality Assurance 82

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

Cloudera

FEBRUARY 14, 2022

It’s no longer driven by data volumes, but containerization, separation of storage and compute, and democratization of analytics. The same key tenants powering DE in the public clouds are now available in the data center. Auto scaling workloads on the fly leading to better hardware utilization.

Data Engineering 112

Data Engineering Engineering Data Storage 112

Kaseya

MAY 13, 2021

As the name suggests, a cloud service provider is essentially a third-party company that offers a cloud-based platform for application, infrastructure or storage services. In a public cloud, all of the hardware, software, networking and storage infrastructure is owned and managed by the cloud service provider. Cost-Efficient.

Google Cloud 122

Google Cloud Azure AWS Cloud 122

Hu's Place - HitachiVantara

OCTOBER 9, 2018

Among the many announcements that were made at Hitachi Vantara’s NEXT 2018 event last month in San Diego, was the announcement of an enhanced converged and hyperconverged portfolio to help customers modernize their data centers as part of their digital transformation strategies.

3D 61

3D Scalability Storage Technology 61

OTS Solutions

FEBRUARY 16, 2023

Cloud computing can be defined as storing and accessing data over the internet and not on a personal computer. It is a shared pool that is made up of two words cloud and computing where cloud is a vast storage space and computing means the use of computers. These clouds can be of several types.

Cloud 130

Cloud Artificial Inteligence Disaster Recovery Internet 130

CableLabs

NOVEMBER 18, 2021

Traditionally, telecommunications networks operate in siloes running specialized physical hardware functions for each domain (radio, access, transport, core, and data center), and they’re managed by proprietary element management systems.

Telecommunications 59

Telecommunications Hardware Virtualization Wireless 59

CableLabs

NOVEMBER 18, 2021

Traditionally, telecommunications networks operate in siloes running specialized physical hardware functions for each domain (radio, access, transport, core, and data center), and they’re managed by proprietary element management systems.

Telecommunications 52

Telecommunications Hardware Virtualization Wireless 52

CableLabs

NOVEMBER 18, 2021

Traditionally, telecommunications networks operate in siloes running specialized physical hardware functions for each domain (radio, access, transport, core, and data center), and they’re managed by proprietary element management systems.

Telecommunications 52

Telecommunications Hardware Virtualization Wireless 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

Artificial Inteligence 69

Artificial Inteligence Artificial Intelligence IoT Data Center 69

Altexsoft

JULY 18, 2023

Its flexibility allows it to operate on single-node machines and large clusters, serving as a multi-language platform for executing data engineering , data science , and machine learning tasks. How data engineering works in a nutshell. Machine learning.

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

Capgemini

JUNE 8, 2021

According to a new report from the Capgemini Research Institute (CRI), the rising demand for computing power and data storage poses “a significant environmental challenge.”. In the CRI report, we learned that many of the tech giants are making decarbonization and wider environmental impact pledges.

Sustainability 52

Sustainability Artificial Inteligence Data Center Energy 52

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. And, as is common, to transform it before loading to another storage system. But how do you move data? You need an efficient data pipeline. Destination.

Data 76

Data Storage Analytics Data Center 76

O'Reilly Media - Ideas

APRIL 13, 2023

Imagine application storage and compute as unstoppable as blockchain, but faster and cheaper than the cloud.) Serverless APIs are the culmination of the cloud commoditizing the old hardware-based paradigm. They run on any cloud or other data-center and reward service providers through fees they collect from users.

Technical Review 138

Technical Review Authentication Storage Serverless 138

Altexsoft

JULY 1, 2021

PaaS solutions support the development of virtually any type of system, including web applications, mobile applications, big data, AI, and even hardware based solutions like internet of things (IoT) devices. Microsoft Azure Machine Learning (Azure ML). Development capabilities. Management. AI as a Service. What Is AIaaS?

Artificial Inteligence 59

Artificial Inteligence Azure Software Review Google Cloud 59

Kentik

FEBRUARY 20, 2023

Gaining access to these vast cloud resources allows enterprises to engage in high-velocity development practices, develop highly reliable networks, and perform big data operations like artificial intelligence, machine learning, and observability.

Network 97

Network Infrastructure Cloud Artificial Inteligence 97

Datavail

JANUARY 11, 2024

By leveraging the ability to only pay for the resources you utilize, you can reduce costs related to infrastructure, hardware installation and maintenance, data center expenses, and much more. This provides your business with fewer direct expenses and allows you to reallocate resources to higher-level business processes.

AWS 74

AWS Disaster Recovery Artificial Inteligence Scalability 74

O'Reilly Media - Data

SEPTEMBER 11, 2018

First off, if your data is on a specialized storage appliance of some kind that lives in your data center, you have a boat anchor that is going to make it hard to move into the cloud. Even worse, none of the major cloud services will give you the same sort of storage, so your code isn’t portable any more.

Big Data 149

Big Data Data Storage Software Review 149

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. If translated to business terms, this means.

IoT 59

IoT Azure Hardware USP 59

Altexsoft

APRIL 26, 2022

Not long ago setting up a data warehouse — a central information repository enabling business intelligence and analytics — meant purchasing expensive, purpose-built hardware appliances and running a local data center. By the type of deployment, data warehouses can be categorized into. What is Snowflake?

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

Hu's Place - HitachiVantara

MARCH 4, 2019

Ten years ago, in 2009, Cisco introduced the Unified Computing System ( UCS ), a data center server computer product line composed of computing hardware, virtualization support, switching fabric, storage, and management software.

Infrastructure 49

Infrastructure Artificial Inteligence Storage Data Center 49

CircleCI

SEPTEMBER 7, 2021

One of the most obvious advantages of the cloud is that you do not need your own hardware for applications hosted in the cloud. You also save on overhead when you are not installing and maintaining your own hardware. While IaaS moves your hardware to the cloud, PaaS goes further by also moving most of your maintenance.

Cloud 52

Cloud Backup Disaster Recovery Serverless 52

Altexsoft

JUNE 7, 2021

Apache Hadoop is an open-source framework written in Java for distributed storage and processing of huge datasets. The keyword here is distributed since the data quantities in question are too large to be accommodated and analyzed by a single computer. Virtually, Hadoop puts no limits on the storage capacity. What is Hadoop.

Big Data 98

Big Data Tools Data Storage 98

ParkMyCloud

APRIL 23, 2019

This list is broken down by category, including Analytics, Blockchain, Compute, Database, Internet of Things, Machine Learning, and Security. AWS Lake Formation makes it easy to set up a secure data lake in days. While all are in preview right now, their release dates may vary. AWS Lake Formation. Blockchain. AWS Outposts.

AWS 52

AWS IoT Blockchain Machine Learning 52

O'Reilly Media - Ideas

OCTOBER 3, 2023

HuggingFace has developed a new machine learning framework for Rust called Candle. Hardware Humanity’s oldest writing is preserved on ceramics. That may be the future of data storage, too: a startup has developed ceramic-coated tape with storage of up to 1 Petabyte per tape. It is relatively small (1.6B

Artificial Inteligence 90

Artificial Inteligence Trends Open Source ChatGPT 90