CIO

MAY 16, 2024

In the second business plan, things continued with implementing operational models into data-driven companies, and combining machine learning with decision-making intelligence from humans — another form of sustainability that addresses the ethical impact of work.

Sustainability 157

Sustainability Real Estate Artificial Inteligence Disaster Recovery 157

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

Datavail

JANUARY 11, 2024

Amazon Web Services (AWS) is a notable cloud platform that can provide your business with various tools and services to help you host your enterprise applications, data, and overall infrastructure. AWS offers numerous disaster recovery options, from simple backups to fully automated multi-site failovers.

AWS 74

AWS Disaster Recovery Artificial Inteligence Scalability 74

Firemon

MAY 5, 2025

Implement automated tools that use machine learning and behavioral analytics to detect deviations from expected patterns. Continuously refining your incident response plan ensures your team is equipped to handle new and evolving threats with confidence and precision.

Network 59

Network Enterprise Systems Review Software Review 59

Infinidat

JANUARY 18, 2024

Data disaster recovery. All will have a financial impact on enterprises amid continuing turbulent economic times. Tech Trend #2: Data disaster recovery amid a “hurricane” of cyberattacks Disaster recovery is not only about natural disasters. IT skills gap. Rethinking costs. Green IT/ESG.

Trends 73

Trends Disaster Recovery Storage Data Center 73

OTS Solutions

DECEMBER 4, 2023

Additionally, private cloud architecture offers scalability and flexibility, allowing businesses to easily expand their infrastructure as their needs evolve, without compromising performance. Can private cloud architecture be used for disaster recovery? Related Blogs: Which Is Better for Your Business Colocation or the Cloud?

Architecture 130

Architecture Cloud Disaster Recovery Scalability 130

ParkMyCloud

JULY 2, 2020

Improved disaster recovery/business continuity (40%) . Cloud providers’ unique capabilities – take advantage of offerings in AI, IOT, Machine Learning, and more. Here’s what they found: More than half (55%) of respondents use multiple public clouds: . 34% use two, 10% use three, and 11% use more than three.

Cloud 90

Cloud Disaster Recovery Budget Google Cloud 90

Apps Associates

JULY 14, 2023

Outcome highlights: Cost consolidation / reduction, business continuity, improved future state architecture with ability to leverage breadth of AWS services Pearson plc is the world’s learning company with more than 22,500 employees operating in 70 countries.

Disaster Recovery 52

Disaster Recovery Cloud AWS Backup 52

Tamnoon

MARCH 26, 2025

Greater operational resilience due to multiple disaster recovery and business continuity options. AI and machine learning are increasingly important not just for multi-cloud security but for the cybersecurity industry as a whole. Less risk of vendor lock-in. Increased uptime. Cost optimization.

Cloud 52

Cloud Company Systems Review Weak Development Team 52

Kaseya

JUNE 24, 2019

Cyber Hawk combines machine learning and intelligent tagging to identify anomalous activity, suspicious changes and threats caused by misconfigurations. Kaseya Unified Backup (KUB) brings together the world’s best backup, ransomware protection, cloud-based storage and business continuity and disaster recovery (BCDR) solutions.

Backup 87

Backup Authentication Disaster Recovery IoT 87

Perficient

AUGUST 23, 2024

With Unity Catalog, organizations can seamlessly govern both structured and unstructured data in any format, as well as machine learning models, notebooks, dashboards and files across any cloud or platform. A common use case for multi-cloud is business continuity and disaster recovery.

Government 52

Government Disaster Recovery Machine Learning Artificial Inteligence 52

CIO

APRIL 8, 2024

I processi mission-critical, invece, solitamente si lasciano on-prem: chi fa produzione ha bisogno di macchine locali per garantire la business continuity. Da questi difficilmente si torna indietro, perché non ci si deve preoccupare più di backup, disaster recovery, versioning e così via”.

Cloud 78

Cloud Disaster Recovery Data Center Software Review 78

Kaseya

FEBRUARY 5, 2019

It is critical to make certain your files, settings, applications, and structured data are available for instant and successful disaster recovery. Step 4 — Detect: Early ransomware detection means less data loss and downtime. Have a plan to identify and stop ransomware at the source, before it infiltrates your backup.

Disaster Recovery 40

Disaster Recovery Backup Data Malware 40

Kaseya

DECEMBER 28, 2021

Furthermore, to make it easier for companies to manage multiple security components from one place, EPP platforms come equipped with vulnerability and patch management, configuration management, disk and encryption facilities, and backup and disaster recovery features to name a few. What are the benefits of endpoint protection?

Malware 75

Malware Disaster Recovery Backup Network 75

Infinidat

AUGUST 24, 2023

They exploit the vulnerabilities of enterprises that have left both their primary storage infrastructure and their secondary/backup/disaster recovery storage exposed. Every piece of an organization’s storage estate must be cyber resilient to ensure business continuity in the face of a cyberattack.

Security 52

Security Storage Enterprise Malware 52

Ivanti

OCTOBER 29, 2024

Business continuity Backup solutions: Cloud providers offer comprehensive disaster recovery solutions, ensuring business continuity in the event of infrastructure failures or other disruptions. Faster time-to-market: Cloud services can support faster application deployment, reducing time to market.

Cloud 40

Cloud Artificial Inteligence Disaster Recovery Compliance 40

CIO

APRIL 16, 2024

Nel secondo piano industriale il percorso di innovazione è proseguito “con la realizzazione di modelli operativi legati alla trasformazione in data-driven company” e alla combinazione del machine learning con l’intelligenza decisionale delle singole persone, un’altra forma di sostenibilità che guarda all’impatto “etico” nel lavoro. “Il

KPI 78

KPI Software Review Disaster Recovery Sustainability 78

Zensar

SEPTEMBER 13, 2019

Breaking bots are not common but one need not panic and fear such issues if your Business Continuity Plan and Disaster Recovery are in place. Deep Learning and Large Scale Machine Learning that help unearth several hidden layers of Sub-Models that serve as inputs to next layer and ability to handle large data sets.

Disaster Recovery 8

Disaster Recovery How To Survey Agile 8

Kaseya

DECEMBER 27, 2023

Compromising even a single endpoint can provide threat actors with easy access to a company’s private network and applications as well as workloads on the cloud, threatening business continuity. A robust endpoint security management process ensures security, business continuity, higher uptime and better end-user and customer service.

Disaster Recovery 52

Disaster Recovery Malware Policies Backup 52

Altexsoft

OCTOBER 24, 2022

Artificial intelligence (AI) and machine learning technologies enable CloudOps administrators to automate these tasks efficiently. Facilitates disaster recovery —CloudOps measures include disaster recovery to restore data and systems in the event of data loss, system failure, or other disasters.

Organization 40

Organization Disaster Recovery DevOps Artificial Inteligence 40

Daniel Bryant

DECEMBER 3, 2019

Most of the related conversations consisted of folks explaining how they run their website workloads in one cloud and their data pipelines or machine learning jobs in another.

Technical Review 10

Technical Review Microservices Software Review Cloud 10

CIO

AUGUST 7, 2024

To counter bad actors, TCS decided to deploy automation, artificial intelligence, and machine learning resulting in a more sophisticated, AI-assisted enterprise defense. Options included hosting a secondary data center, outsourcing business continuity to a vendor, and establishing private cloud solutions.

Artificial Inteligence 178

Artificial Inteligence Data Center Weak Development Team Fractional CTO 178

Cloudera

JULY 22, 2024

For more information on how Cloudera is designed for resilience, read the Cloudera blog on Disaster Recovery , and follow the Cloudera Reference Architecture for Disaster Recovery for guidance and best practices to further your own resilience and availability goals with Cloudera.

Disaster Recovery 85

Disaster Recovery Technical Review Data Systems Review 85

CIO

DECEMBER 2, 2024

Jitender notes that those include far more effective and robust disaster recovery and business continuity capabilities, greater flexibility and scalability, the ability to avoid vendor lock-in, and the ability to match the right workload to the right cloud.

Technology 156

Technology Disaster Recovery Data Center Cloud 156

Infinidat

JANUARY 30, 2025

Cyber resiliency is not only about withstanding attacks, but also ensuring rapid, verifiable recovery without compromising performance or scalability. To achieve these goals, organizations are increasingly leveraging solutions that provide enterprise-grade next generation data protection and disaster recovery.

Disaster Recovery 71

Disaster Recovery Storage Malware Backup 71

AWS Machine Learning - AI

JANUARY 7, 2025

Having a business continuity plan with a disaster recovery strategy is a must for any workload. Considerations and best practices should be implemented for vector databases, the application tier, and monitoring the use of resources through an observability layer.

Insurance 111

Insurance AWS Generative AI Artificial Inteligence 111