CIO

DECEMBER 20, 2022

Furthermore, supporting Epic Honor Roll requirements, purchasing cycles, and disaster recovery places heavy demands on staff time, and recruiting, training, and retaining IT professionals can prove difficult. Implementing, maintaining, and scaling the solution can be slow, complicated, and costly.

Healthcare 202

Healthcare Disaster Recovery Organization Artificial Inteligence 202

CIO

APRIL 30, 2025

One agent supports daily operations while another helps our disaster recovery team quickly align products with crisis-response organizations, says CTO Stephane Moulec. High-volume, repetitive tasks are ideal for AI.

Technical Review 209

Technical Review Software Review Technical Advisors Systems Review 209

CIO

NOVEMBER 14, 2024

Schwartz is an adjunct research advisor with IDC’s IT Executive Programs (IEP), focusing on IT business, digital business, disaster recovery, and data management. She often writes about cybersecurity, disaster recovery, storage, unified communications, and wireless technology.

Retail 97

Retail Disaster Recovery Technical Review Sustainability 97

John Snow Labs

APRIL 29, 2025

In the era of large language models (LLMs)where generative AI can write, summarize, translate, and even reason across complex documentsthe function of data annotation has shifted dramatically. For an LLM, these labeled segments serve as the reference points from which it learns whats important and how to reason about it.

Artificial Inteligence 52

Artificial Inteligence Training Tools Generative AI 52

CIO

MAY 6, 2024

The Data and Cloud Computing Center is the first center for analyzing and processing big data and artificial intelligence in Egypt and North Africa, saving time, effort and money, thus enhancing new investment opportunities.

Data Center 146

Data Center Government Disaster Recovery Artificial Inteligence 146

CIO

APRIL 9, 2025

Applications can be connected to powerful artificial intelligence (AI) and analytics cloud services, and, in some cases, putting workloads in the cloud moves them closer to the data they need in order to run, improving performance. Disaster recovery. R elocating workloads.

Cloud 88

Cloud Google Cloud Disaster Recovery Data Center 88

CIO

MARCH 18, 2024

Every business in some form or another is looking to adopt and integrate emerging technologies—whether that’s artificial intelligence, hybrid cloud architectures, or advanced data analytics—to help achieve a competitive edge and reach key operational goals. We’re at a critical time for digital transformation.

Disaster Recovery 181

Disaster Recovery Technical Review Systems Review Software Review 181

AWS Machine Learning - AI

FEBRUARY 1, 2024

Full stack generative AI Although a lot of the excitement around generative AI focuses on the models, a complete solution involves people, skills, and tools from several domains. Consider the following picture, which is an AWS view of the a16z emerging application stack for large language models (LLMs).

Generative AI 137

Generative AI Disaster Recovery Artificial Inteligence AWS 137

CIO

FEBRUARY 4, 2025

This surge is driven by the rapid expansion of cloud computing and artificial intelligence, both of which are reshaping industries and enabling unprecedented scalability and innovation. Global IT spending is expected to soar in 2025, gaining 9% according to recent estimates. The result was a compromised availability architecture.

Sustainability 156

Sustainability Technical Review Architecture Fractional CTO 156

TechCrunch

DECEMBER 13, 2022

Prior to co-launching Vic.ai, Hagerup founded the Online Backup Company, a European backup and disaster recovery service provider. This “live usage” helped to train Vic.ai’s machine learning algorithms over time, according to Hagerup, enabling it to provide nearly “complete autonomy” for transaction processing.

Disaster Recovery 246

Disaster Recovery Backup Technical Review Wireless 246

CIO

NOVEMBER 17, 2023

This is achieved through efficiencies of scale, as an MSP can often hire specialists that smaller enterprises may not be able to justify, and through automation, artificial intelligence, and machine learning — technologies that client companies may not have the expertise to implement themselves.

Technical Review 195

Technical Review Artificial Inteligence Systems Review Disaster Recovery 195

TechCrunch

APRIL 11, 2022

This time, he’s back with a piece on how vision and language combined could be the key to better artificial intelligence. And, finally, if you didn’t believe us when we say the cyber industry was hot, then maybe Kaseya’s acquisition of Datto , a disaster recovery company, for $6.2 The Kindbody TC-1.

Disaster Recovery 222

Disaster Recovery Artificial Inteligence Artificial Intelligence Insurance 222

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.

Course 111

Course Artificial Inteligence Training Blockchain 111

CIO

SEPTEMBER 2, 2024

Ora che l’ intelligenza artificiale è diventata una sorta di mantra aziendale, anche la valorizzazione dei Big Data entra nella sfera di applicazione del machine learning e della GenAI. Un piano solido di disaster recovery è, inoltre, fondamentale”, sottolinea il manager.

Artificial Inteligence 173

Artificial Inteligence Azure Machine Learning Generative AI 173

Datavail

AUGUST 3, 2021

3) Disaster Recovery. Reducing downtime and implementing effective disaster recovery is at the forefront of every IT manager’s mind. Azure’s disaster recovery solutions can be integrated with your existing on-premises solutions so you don’t necessarily need to reinvent the wheel once you migrate your Oracle applications.

Azure 98

Azure Disaster Recovery Applications Artificial Inteligence 98

CIO

JULY 12, 2022

They must also deliver the speed and low-latency great customer experiences require in an era marked by dramatic innovations in edge computing, artificial intelligence, machine learning, the Internet of Things, unified communications, and other singular computing trends now synonymous with business success.

Data Center 148

Data Center Enterprise Cloud Artificial Inteligence 148

CIO

JUNE 24, 2024

Zero trust has taken hold in a big way over the past five years, and for good reason, according to Rich Heimann , chief artificial intelligence officer at Tier4.ai. However, there is some debate about the best approach to protecting that data. Zero trust operates on the principle of ‘never trust, always verify,’” Heimann says.

Strategy 167

Strategy Data Disaster Recovery Artificial Inteligence 167

CIO

SEPTEMBER 14, 2022

Automation, artificial intelligence, and 5G require an open, flexible IT infrastructure. Working with Kyndryl, the City deployed a hybrid cloud IT architecture, including a new data center with backup and disaster recovery capabilities.

Infrastructure 145

Infrastructure Disaster Recovery Artificial Inteligence Artificial Intelligence 145

CIO

SEPTEMBER 27, 2024

AI has become a sort of corporate mantra, and machine learning (ML) and gen AI have become additions to the bigger conversation. The important thing in data management is having a solid disaster recovery plan,” says Macario. “In In fact, several steps have been taken in recent years to migrate some services to the cloud.

Data 192

Data Azure Artificial Inteligence Retail 192

CIO

JANUARY 7, 2025

To always keep the platform active, we moved to a dual cloud setup, which is backed up for disaster recovery and prepped for multi-region performance. Nikhil explains, When scaling both vertically and horizontally, we realized that we could not manage everything on-premises.

Technical Review 78

Technical Review Systems Review Disaster Recovery Firewall 78

CIO

AUGUST 7, 2023

By leveraging VMware Cloud on AWS along with VMware Cloud Disaster Recovery and VMware Carbon Black to enable a zero trust approach across the board, Softchoice made the customer’s architecture highly resilient and secure. “We On top of that, it also faced penalties if it failed to meet demands.

Strategy 146

Strategy Cloud Disaster Recovery Machine Learning 146

CIO

JANUARY 24, 2024

Similar to disaster recovery, business continuity, and information security, data strategy needs to be well thought out and defined to inform the rest, while providing a foundation from which to build a strong business.” Their large language models have poor or dirty data.

Strategy 204

Strategy Weak Development Team Data CTO Coach 204

InfoWorld

JULY 1, 2024

The 2024 InfoWorld Technology of the Year Awards will recognize the best and most innovative products across 26 categories in software development, cloud computing, data analytics, and AI and machine learning. Nominations for the 2024 awards are now open.

Disaster Recovery 78

Disaster Recovery Technology Machine Learning Artificial Inteligence 78

CIO

FEBRUARY 27, 2023

Traditional benefits of duplicating IT infrastructure were least important, with greater resiliency or performance cited by 23% of respondents, and redundancy or disaster recovery capabilities by just 21%. But there are still many factors holding back multicloud adoption in the enterprise.

Study 215

Study Disaster Recovery Real Estate Cloud 215

Kaseya

NOVEMBER 9, 2020

Backup and Disaster Recovery. If you are an IT professional, you know how important it is to backup your critical systems so that data can be recovered in the event of a system failure due to a natural disaster, bad update, malicious cyberattack or other issues. Security Orchestration, Automation and Response (SOAR).

Disaster Recovery 110

Disaster Recovery Backup Artificial Inteligence Technical Review 110

CIO

MAY 16, 2024

We’ve also adopted new digital management methodologies, including artificial intelligence tools, in areas such as compliance and organization.” In fact, ICS Maugeri’s IT department has activated a disaster recovery system for medical records that allows complete patient management in the event of a network outage.

Sustainability 158

Sustainability Real Estate Artificial Inteligence Disaster Recovery 158

The Crazy Programmer

SEPTEMBER 25, 2021

On-premises data warehouse with built-in machine learning, massively parallel processing, and in-database analytics that is maintained by the client. It includes IBM Watson Studio software for an integrated, collaborative development experience that includes support for machine learning models. DB2 Editions.

Disaster Recovery 113

Disaster Recovery Backup Linux Storage 113

Kaseya

MAY 13, 2021

A cloud service provider generally establishes public cloud platforms, manages private cloud platforms and/or offers on-demand cloud computing services such as: Infrastructure-as-a-Service (IaaS) Software-as-a-Service (SaaS) Platform-as-a-Service (PaaS) Disaster Recovery-as-a-Service (DRaaS). Compliance, Security and Disaster Recovery.

Google Cloud 122

Google Cloud Azure AWS Cloud 122

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 88

Course Artificial Inteligence Training Blockchain 88

Datavail

JANUARY 11, 2024

By migrating Oracle EBS to AWS, you can unlock numerous benefits such as cost savings, better security, enhanced disaster recovery solutions, and more. AWS offers numerous disaster recovery options, from simple backups to fully automated multi-site failovers.

AWS 74

AWS Disaster Recovery Artificial Inteligence Scalability 74

Datavail

APRIL 6, 2021

The term XaaS (“anything as a service”) is shorthand for the proliferation of cloud services in recent years—everything from databases and artificial intelligence to unified communications and disaster recovery is now available from your choice of cloud provider.

Cloud 97

Cloud Disaster Recovery Off-The-Shelf Artificial Inteligence 97

Kaseya

NOVEMBER 9, 2023

AI-as-a-Service (AIaaS) and Machine Learning-as-a-Service (MLaaS) : AIaaS and MLaaS empower organizations with access to artificial intelligence and machine learning capabilities, allowing them to leverage advanced analytics without any extensive in-house expertise.

Cloud 105

Cloud Disaster Recovery Infrastructure Artificial Inteligence 105

CIO

DECEMBER 26, 2023

(The lesson of the massive Optus outage , we suppose, is to have a disaster plan for all different kinds of disasters, and also to configure your routers correctly.) Business Continuity, Disaster Recovery, Generative AI, IT Strategy

Airlines 207

Airlines Backup Technical Review ChatGPT 207

Cloudera

JANUARY 27, 2021

Data backup and disaster recovery. CDP Public Cloud consists of a set of best-of-breed analytic services covering streaming, data engineering, data warehouse, operational database, and machine learning, all secured and governed by Cloudera SDX. Encryption controls that meet or exceed best practices. What’s Next?

Cloud 104

Cloud Disaster Recovery Software Review Technical Review 104

OTS Solutions

DECEMBER 4, 2023

With reduced downtime risks, enhanced disaster recovery capabilities, and cost-effective IT resource allocation, private cloud architecture proves to be an indispensable tool for manufacturers looking to streamline their operations and boost productivity. Can private cloud architecture be used for disaster recovery?

Architecture 130

Architecture Cloud Disaster Recovery Scalability 130

CIO

JUNE 8, 2023

Building new business aligned cost models, setting up disaster recovery and BCP platforms, allowing remote-working, rearchitecting the enterprise network from the ground up, and migrating to cloud should be some of the prime focus areas for CIOs as they set about their operations in the new-era.”

Innovation 147

Innovation Technical Review Disaster Recovery Budget 147

CTOvision

DECEMBER 15, 2014

Artificial Intelligence. AI (pronounced AYE-EYE) or artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. This field overlaps with electronics, computer science, artificial intelligence, mechatronics, nanotechnology, and bioengineering.

Security 120

Security Government Technology Artificial Inteligence 120