AWS Machine Learning - AI

FEBRUARY 1, 2024

That will safeguard your prompts in case of accidental loss or as part of your overall disaster recovery strategy. High availability and disaster recovery – Embedding vectors are valuable data, and recreating them can be expensive. Is your vector database highly available in a single AWS Region?

Generative AI 131

Generative AI Disaster Recovery Artificial Inteligence AWS 131

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 Artificial Inteligence 146

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 Artificial Inteligence Machine Learning 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

CIO

SEPTEMBER 9, 2024

These systems are crucial to DORA’s mandate, yet many organizations lag in disaster recovery, relying on outdated strategies. The renewed priority of mainframe operational resilience For financial services, mainframe operational resilience demands a new approach.

Artificial Inteligence 173

Artificial Inteligence Disaster Recovery Compliance Business Continuity 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

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. Managed Service Providers, Outsourcing

Technical Review 195

Technical Review Artificial Inteligence Systems Review Disaster Recovery 195

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

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

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

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

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 Artificial Inteligence Azure Retail 192

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

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

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

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

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

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

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

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. But is the role of the CIO itself still sustainable?

Sustainability 158

Sustainability Real Estate Artificial Inteligence Disaster Recovery 158

Infinidat

JANUARY 18, 2024

Data disaster recovery. Tech Trend #2: Data disaster recovery amid a “hurricane” of cyberattacks Disaster recovery is not only about natural disasters. Data disasters” have arisen with the potential to bring enterprises across all industries to their knees. IT skills gap. Rethinking costs.

Trends 75

Trends Disaster Recovery Storage Data Center 75

Kaseya

FEBRUARY 9, 2022

IoT devices are sort of mini-computers that use sensors to collect data and use machine learning to improve their functionality and performance. EDRs also come equipped with machine learning and built-in analytics features that can detect and neutralize threats at a very early stage. But that’s not all.

Technical Review 98

Technical Review Technology Disaster Recovery Malware 98

Linux Academy

OCTOBER 2, 2019

We also have a series of new practice exams: AWS Certified Machine Learning – Specialty (MLS-C01) Final Practice Exam. AWS Certified Machine Learning – Specialty. Here are some of the most recent quizzes you can use to check out the updates: Virtual Private Cloud (VPC) AWS . Advanced VPC AWS. New Courses.

Linux 13

Linux Disaster Recovery Azure Google Cloud 13

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

Cloudera

FEBRUARY 22, 2022

By optimizing the various CDP Data Services, including CDW, CDE, and Cloudera Machine Learning (CML) with Iceberg, Cloudera customers can define and manipulate datasets with SQL commands, build complex data pipelines using features like Time Travel operations, and deploy machine learning models built from Iceberg tables.

Data 110

Data Analytics Travel Disaster Recovery 110

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

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

Cloudera

MARCH 13, 2019

Tesco – Utilizing HDP and HDF to innovate, drive improvement, and increase efficiency for disaster recovery. ING – Utilizing HDP and HDF for machine learning models to make relevant engagements with customers. These finalists are being recognized for their outstanding leadership and innovation across all industries.

Artificial Inteligence 69

Artificial Inteligence Data Disaster Recovery Artificial Intelligence 69

Infinidat

MARCH 10, 2021

An extremely resilient architecture that leverages redundancies and transparent recovery both within a single system and across multi-system configurations to meet the need for disaster recovery.

Business Intelligence 98

Business Intelligence Storage Infrastructure Artificial Inteligence 98

OTS Solutions

FEBRUARY 16, 2023

Free Consultation Top Cloud Computing trends to look forward to: More artificial intelligence and machine learning-powered clouds: Cloud providers are using AI (Artificial Intelligence) and ML-based Algos to handle enormous networks in cloud computing. It results in better disaster recovery.

Cloud 130

Cloud Artificial Inteligence Disaster Recovery Internet 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

Cloudera

SEPTEMBER 1, 2022

COD enables enterprises to bring together and process more data of different types that can be used for a broad range of applications ranging from serving machine learning models to mobile applications. Replication manager also enables admins to enable disaster recovery as a use case. . Security, governance, and control.

Applications 84

Applications Cloud Disaster Recovery Government 84

Perficient

AUGUST 31, 2024

It goes even further into managing for data quality, designing for failure and, ultimately, designing and testing real-world disaster recovery scenarios. Its been my experience that enterprises are very weak in disaster recovery and are acutely aware of this weakness. Preferably automated.

Disaster Recovery 52

Disaster Recovery Artificial Inteligence Weak Development Team Machine Learning 52

Cloudera

APRIL 21, 2021

That downtime also allowed us to test the disaster recovery environment that our 24×7 users would interact with during the production upgrade. We took a pre-upgrade downtime in production to accomplish some of the prerequisite tasks like database upgrade and operating system upgrades on our master hosts.

Cloud 121

Cloud Weak Development Team Development Team Review Software Review 121

Datavail

JUNE 1, 2023

Takeaway 3: Adopting cloud analytics can lead to improved collaboration and cost efficiency, including flexible economic models, rapid deployment, reliability, high availability, and disaster recovery capabilities. The cloud allows for more innovation and rapid deployment of new ideas and models, such as AI and machine learning.

Analytics 52

Analytics Cloud Disaster Recovery Data 52

Cloudera

OCTOBER 8, 2024

High availability and disaster recovery capabilities help enable continuous operation and minimal downtime. Multiple AI Framework Support: Integrates seamlessly with popular machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, and Hugging Face Transformers, making it easy to deploy a wide variety of model types.

Applications 75

Applications Generative AI Disaster Recovery Artificial Inteligence 75

CIO

APRIL 8, 2024

Per me la soluzione migliore è avere un private cloud in casa con due-tre punti di disaster recovery per gestire le emergenze e cloud pubblici per servizi non business-critical”, afferma Ranieri. 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