CIO

JUNE 7, 2024

based company, which claims to be the top-ranked supplier of renewable energy sales to corporations, turned to machine learning to help forecast renewable asset output, while establishing an automation framework for streamlining the company’s operations in servicing the renewable energy market. To achieve that, the Arlington, Va.-based

Energy 193

Energy Sustainability Artificial Inteligence Machine Learning 193

TechCrunch

DECEMBER 6, 2022

Aiming to overcome some of the blockers to success in IT, Lucas Roh co-founded MetalSoft , a startup that provides “ bare metal ” automation software for managing on-premises data centers and multi-vendor equipment. MetalSoft spun out from Hostway, a cloud hosting provider headquartered in Chicago. .

Infrastructure 184

Infrastructure Hardware Data Center Storage 184

CIO

SEPTEMBER 10, 2024

In September last year, the company started collocating its Oracle database hardware (including Oracle Exadata) and software in Microsoft Azure data centers , giving customers direct access to Oracle database services running on Oracle Cloud Infrastructure (OCI) via Azure.

AWS 218

AWS Azure Database Administration Google Cloud 218

CIO

MARCH 31, 2025

high-performance computing GPU), data centers, and energy. Talent shortages AI development requires specialized knowledge in machine learning, data science, and engineering. The user has full control of the input, output and the data that the model will train on.

Technical Review 117

Technical Review Artificial Inteligence Compliance Open Source 117

Mentormate

MAY 31, 2023

In this article, we will discuss how MentorMate and our partner eLumen leveraged natural language processing (NLP) and machine learning (ML) for data-driven decision-making to tame the curriculum beast in higher education. Here, we will primarily focus on drawing insights from structured and unstructured (text) data.

Artificial Inteligence 98

Artificial Inteligence Machine Learning Education Analytics 98

CIO

FEBRUARY 13, 2023

CIOs anticipate an increased focus on cybersecurity (70%), data analysis (55%), data privacy (55%), AI/machine learning (55%), and customer experience (53%). Dental company SmileDirectClub has invested in an AI and machine learning team to help transform the business and the customer experience, says CIO Justin Skinner.

Budget 218

Budget Artificial Inteligence Technical Review VR 218

CIO

JUNE 24, 2024

While direct liquid cooling (DLC) is being deployed in data centers today more than ever before, would you be surprised to learn that we’ve been deploying it in our data center designs at Digital Realty since 2015? Traditional workloads tend to be in the range of 5-8 kW per rack.

Data Center 166

Data Center Artificial Inteligence Case Study Sustainability 166

TechCrunch

DECEMBER 14, 2022

Flash memory and most magnetic storage devices, including hard disks and floppy disks, are examples of non-volatile memory. NeuroBlade last October raised $83 million for its in-memory inference chip for data centers and edge devices. Axelera and GigaSpaces are both developing in-memory hardware to accelerate AI workloads.

Hardware 216

Hardware Development Machine Learning Artificial Inteligence 216

Palo Alto Networks

MARCH 2, 2025

These networks are not only blazing fast, but they are also adaptive, using machine learning algorithms to continuously analyze network performance, predict traffic and optimize, so they can offer customers the best possible connectivity.

Business Transformation 102

Business Transformation Telecommunications WAN Chemicals 102

OTS Solutions

DECEMBER 5, 2019

The cloud service provider (CSP) charges a business for cloud computing space as an Infrastructure as a Service (IaaS) for networking, servers, and storage. Having said that, it’s still recommended that enterprises store and access truly confidential and sensitive data on a private cloud.

Enterprise 42

Enterprise Cloud Data Center Virtualization 42

Cloudera

OCTOBER 13, 2021

These companies have instead opted to leverage their existing data centre investment. Turning the data center into a private cloud would bring all the agility and flexibility of public cloud to the control of an on-premises infrastructure. Move to more Data Services. Next stop: hybrid data cloud.

Data Center 98

Data Center Cloud Data How To 98

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 232

Big Data Data Storage Software Review 232

TechCrunch

DECEMBER 6, 2022

From the start, NeuReality focused on bringing to market AI hardware for cloud data centers and “edge” computers, or machines that run on-premises and do most of their data processing offline. ” NeuReality, which currently has 40 employees, plans to hire 20 more over the next two fiscal quarters.

Marketing 239

Marketing Hardware Part-Time VPE Data Center 239

CIO

DECEMBER 10, 2024

NetApps first-party, cloud-native storage solutions enable our customers to quickly benefit from these AI investments. For example, NetApp BlueXP workload factory for AWS integrates data from Amazon FSx for NetApp ONTAP with Amazon Bedrocks foundational models, enabling the creation of customized retrieval-augmented generation (RAG) chatbots.

Strategy 158

Strategy Cloud Artificial Inteligence Azure 158

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. A REST API is built directly into our VSP storage controllers. Here are some examples of how this API strategy brings operational benefits to the Smart Data Center.

Data Center 73

Data Center Strategy Data Storage 73

CIO

DECEMBER 20, 2022

The benefits of hybrid multicloud in healthcare When it comes to cloud adoption, the healthcare industry has been slow to relinquish the traditional on-premises data center due to strict regulatory and security requirements and concerns around interoperability and data integration.

Healthcare 202

Healthcare Disaster Recovery Organization Artificial Inteligence 202

CIO

JUNE 24, 2024

But the effectiveness of genAI doesn’t only depend on the quality and quantity of its supporting data; ensuring genAI tools perform their best also requires adequate storage and compute space. Smart scale-out capabilities to maximize performance In an AI-driven environment, organizations should never be limited by storage.

Artificial Inteligence 141

Artificial Inteligence Storage Training Generative AI 141

CIO

JANUARY 20, 2023

2] Foundational considerations include compute power, memory architecture as well as data processing, storage, and security. It’s About the Data For companies that have succeeded in an AI and analytics deployment, data availability is a key performance indicator, according to a Harvard Business Review report. [3]

Analytics 205

Analytics Artificial Inteligence Artificial Intelligence Hardware 205

Infinidat

MARCH 10, 2021

Re-Thinking the Storage Infrastructure for Business Intelligence. With digital transformation under way at most enterprises, IT management is pondering how to optimize storage infrastructure to best support the new big data analytics focus. Adriana Andronescu. Wed, 03/10/2021 - 12:42.

Business Intelligence 98

Business Intelligence Storage Infrastructure Artificial Inteligence 98

CIO

JUNE 6, 2023

An increased demand for high-performance computing for cloud data centers AI workloads require specialized processors that can handle complex algorithms and large amounts of data. Solid-state drives (SSDs) and non-volatile memory express (NVMe) enable faster data access and processing.

Hardware 147

Hardware Artificial Inteligence Applications Wireless 147

Hu's Place - HitachiVantara

MAY 9, 2018

While the acronym IT stands for Information Technology and is synonymous with the data center, in reality the focus of IT has often been more on infrastructure since infrastructure represented the bulk of a data center’s capital and operational costs. The answer lies in a smart approach to data center modernization.

Data Center 56

Data Center Infrastructure Data Storage 56

CIO

JANUARY 17, 2023

And consider different types of storage for different classes of data: highly-available and responsive storage for transactional data, and higher-latency and lower-cost for data not needed immediately. Agile Development, Budgeting, CIO, Cloud Management, Data Center Management, IT Leadership.

Organization 207

Organization Artificial Inteligence Technical Review Budget 207

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

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.

Cloud 158

Cloud Technical Advisors Technical Review AWS 158

CIO

NOVEMBER 18, 2022

Recent studies indicate that data centers consume one percent of the world’s electricity , and The Royal Society estimates that digital technology contributes up to 5.9% Up to 25% of data center power is consumed by equipment that no longer performs useful work, [i] and only 10-30% of server capacity is used.

Sustainability 147

Sustainability Industry Artificial Inteligence Data Center 147

CIO

DECEMBER 5, 2024

Additionally, it should meet the requirements for responsible AI, including model and data versioning, data governance, and privacy. Unified data storage resembles a well-organized library. In the same way, intelligent data infrastructure brings together diverse data types under one cohesive umbrella.

Storage 78

Storage Generative AI Artificial Inteligence Data 78

CIO

JULY 1, 2024

La scelta del modello ibrido, ovvero diviso tra server on-premises, che gestiscono i dati e i servizi critici, e data center proprietari, ma esterni alla sede centrale, dove vengono gestiti altri servizi aziendali e quelli per i clienti, si deve a motivi di sicurezza, come spiega il CTO di Intred, Alessandro Ballestriero.

Artificial Inteligence 154

Artificial Inteligence Cloud Trends Data Center 154

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 96

Technology Machine Learning Artificial Inteligence Data Center 96

CIO

NOVEMBER 4, 2022

Rigid requirements to ensure the accuracy of data and veracity of scientific formulas as well as machine learning algorithms and data tools are common in modern laboratories. When Bob McCowan was promoted to CIO at Regeneron Pharmaceuticals in 2018, he had previously run the data center infrastructure for the $81.5

Pharmaceuticals 187

Pharmaceuticals Technical Review AWS Machine Learning 187

CIO

NOVEMBER 22, 2022

The chain is rolling out new hand-held devices that allow associates to easily check pricing and inventory availability in hand or from more than 40 feet away, which is helpful when serving customers and locating products in overhead storage. They can do this by using data to ensure that they match supply with demand.

Retail 217

Retail Minimum Viable Product Architecture Machine Learning 217

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. Building an AI or machine learning model is not a one-time effort.

Trends 86

Trends Artificial Inteligence Machine Learning Data Center 86

AWS Machine Learning - AI

MARCH 28, 2024

It provides a collection of pre-trained models that you can deploy quickly and with ease, accelerating the development and deployment of machine learning (ML) applications. Another challenge with RAG is that with retrieval, you aren’t aware of the specific queries that your document storage system will deal with upon ingestion.

Artificial Inteligence 135

Artificial Inteligence Generative AI AWS Load Balancer 135

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

CIO

APRIL 30, 2024

Enterprises are moving computing resources closer to where data is created, making edge locations ideal for not only collecting and aggregating local data but also for consuming it as input for generative processes. Dell’s edge storage solutions provide the necessary capacity and performance for local applications. over 2023 2.

Artificial Inteligence 158

Artificial Inteligence Storage Retail Artificial Intelligence 158

CIO

MARCH 31, 2023

And for AMD’s most critical engineering applications, the answer remains its own data centers — not the cloud. That’s because chipmakers like AMD require mega cores of compute power and memory, as well as petabytes of storage, to run their design applications. But that is changing. We are very current.

Engineering 173

Engineering Data Center AWS Cloud 173

CIO

AUGUST 21, 2024

data centers, creating obstacles for a globally dispersed user base. The solution is saving the company $21 million over five years thanks to massive reductions in paper, printing, and storage costs. The organization had some tactical document management systems, but they were siloed and based on slow, outdated technology.

Case Study 166

Case Study Study Enterprise Insurance 166

CIO

AUGUST 20, 2024

The cloud retrospective: A learning curve Cloud computing’s rise a decade ago ushered in Shadow IT, where teams and even individual employees swiped a credit card to gain instant access to vast compute and storage resources. AI is only as valuable as the data it connects with. But where does this data live?

Artificial Inteligence 208

Artificial Inteligence Cloud Generative AI Strategy 208