Name: Visite de la « data Factory » : de l'Edge au Core en passant par le Cloud
Start: 2024-03-28T10:30:00Z
End: 2024-03-28T10:30:29.000Z
Location: BrightTALK
Rating: 2

Quantum delivers end-to-end data management solutions designed for the AI era.  From high-performance ingest that powers AI applications and demanding data-intensive workloads, to massive, durable data lakes to fuel AI models, Quantum delivers the most comprehensive and cost-efficient solutions. Leading organizations in life sciences, government, media and entertainment, research, and industrial technology trust Quantum with their most valuable asset – their data. Quantum is listed on Nasdaq (QMCO). For more information visit www.quantum.com.

High performance computing and scientific research generate huge volumes of data – mostly unstructured files and objects that must be processed quickly, then preserved and protected for many years and even decades. Applications like AI model training, machine learning, deep learning, and other forms of data analytics are accelerating data growth; many organizations are dealing with billions of files and exabytes of capacity. This challenge is compounded because data must be moved, managed and protected across its lifecycle, often using different storage and cloud platforms for different stages in the data pipeline.

Quantum is helping many organizations in the HPC, AI and life sciences markets, to build and manage private clouds using a unique architecture designed to reduce costs, improve cost predictability, strengthen cybersecurity and reduce emissions.

Join us to learn more about how Quantum customers are leveraging our end-to-end data platform to accelerate AI pipelines, simplify data management, and cost-effectively archive and access inactive data for decades.

The ideal data platform for AI pipelines, research and scientific data and HPC

As video production demands soar, creative teams are juggling simultaneous projects and managing a growing content catalog. The need for a nimble and sophisticated asset management system is clear. Plamen Minev, VP of Engineering and GM AI, Cloud, Media Asset Management at Quantum, will showcase how CatDV, our modern AI-driven MAM solution, can elevate your content production and deliver faster results.

This overview will dissect key editing workflows, illustrate asset and production management best practices, and highlight strategies to accelerate project completion and safeguard assets for cost-effective reuse. You'll learn how these approaches and leveraging AI can keep your production competitive and flourishing.

What to Expect:

• Discover how AI integration can boost efficiency and reduce costs.
• Explore seamless collaborative workflows with Avid and Blackmagic DaVinci Resolve.
• Learn about our latest cloud and hybrid system enhancements.
• Get an overview of our current innovations and future CatDV developments.

The future of MAM: Leveraging AI for Next-Gen Collaboration

AI and other data-intensive business initiatives are driving the need for a simpler, easy-to-access data management platform that provides both high performance and cost efficiency at scale. By integrating flash-based systems – especially in combination with modern tape archives - customers can leverage outstanding scalability, simplicity, sustainability, performance, and cost efficiency, without compromising data availability and long-term durability. 

During this session, we'll explore the following topics:
1. Accelerating AI pipelines and data workflows: Enabling faster data-related processes is the basis for faster decision-making and boost overall productivity.
2. Ensuring Data Availability: Flash-based systems accelerate backup and recovery processes, minimizing downtime and ensuring your critical data is always accessible when you need it most.
3. Scaling with Confidence: The flash storage capabilities with regards to scalability and flexibility allow seamless and on-demand adaptation of your storage, while enabling you to build massive data lakes for all your unique data, necessary to train AI models.
4. Maximizing Energy Efficiency: Flash-based systems contribute to reducing energy consumption, optimizing resource utilization, and lowering operational costs for your organization.

Flash Forward: Fuel AI Pipelines, Power Data Lakes, Build Storage Clouds

As IT and Data Center teams take on more ownership and responsibility for physical security, it’s critical for Physical Security and IT teams to understand each other’s priorities and concerns to ensure the best possible outcomes.  In this webinar, we will explore some of the hot topics and trends that IT professionals work with every day -- and that we as security professionals need to understand to ensure strong collaboration.
 
Register here to join us:
Provide an overview of hot topics impacting IT professionals every day.
Explain key data center technologies, how they work, their benefits, and how IT teams leverage them in their operations.
Describe how these trends can positively impact your security budget, posture, and operations.
Explore IT trends including Virtualization, Consolidation, Failover, Data Protection, and Long Term Storage.
 
We look forward to having you join us!

Data Center Hot Topics in Physical Security

Avid editors have long asked for an asset management and workflow orchestration tool that works the way they expect – and integrates with larger post-production tools and workflows.  CatDV elevates the art of working with Avid media files and is ready to earn the title of ‘the Best MAM for Avid editors' after adding a host of refined features including: 

-Smooth transcodes from the latest Avid codecs 
-Auto-conversion of clips to Avid-friendly formats 
-Auto-generated OP-Atom files for all assets and media tagging in CatDV or Avid 
And more! 

Join us for this live, interactive discussion and demonstration of the new features with special guest and noted Avid workflow architect Bob Spencer of VTG.

CatDV: The Best MAM Ever for Avid Editors?

There are so many burning questions for anyone responsible for building an efficient, performant storage workflow for creative and production teams. Like 'How do I provide enough performance for demanding, and growing teams? When content is locked and handed off, now what - how can I protect it economically yet retrieve it quickly when they need ’that shot from last season’? 

As they say, the road to ‘production hell’ is paved with good intentions - picking something cheap or ‘good enough’ now can become a nightmare later as the team grows, or you land an ambitious project where you want to show your best work. 

In this session, we’ll cover some of the pitfalls of many ‘cheap enough or good enough’ solutions, and show you a path to a system that delivers exactly the mix of performance, protection, and budget you need to help your organization grow, and limit the number of sleepless nights you spend worrying about your storage including:

- Hot: where does Flash fit in my workflow, when do I need it versus a ‘really nice to have?’ Can I get the same performance with HDD based systems? How do they compare?
- Cold: is Cloud a good choice to store archived projects and assets? Is ‘object storage’ on-site better and why? When should I consider on-site object storage instead of public cloud?

Running Hot & Cold: Building Efficient, Performant Storage Workflows for Growth

This rise of AI, deep learning, and modern demanding workflows has changed storage and infrastructure requirements. Organizations must have powerful solutions that can fuel demanding AI and data science workloads (hot data) on the front end, integrated with low-cost, secure private clouds to archive the massive amounts of data (cold data) to train these models on the back end—all while keeping data protected and secure. 

Data continually flows along the hot-to-cold continuum, and the infrastructure supporting this lifecycle must be flexible, automated, and simple to manage to keep up with the ever-changing nature of this data. 

Learn how AI is evolving the landscape of storage and infrastructure requirements, and the considerations for storing and managing hot and cold data to fuel AI initiatives.

Hot-to-Cold Data Management: Infrastructure Requirements in the Age of AI

In today's world, it is crucial that your unstructured data is not only stored securely and reliably, but is also always available when and where it is needed – in a cost-effective and energy-efficient way. 

From high-performance storage for “hot” data to backup appliances and object storage for data protection through to long-term archiving of “cold” inactive data - in this talk, we will present practical solutions for comprehensive data management across the entire lifecycle.

Our topics:
* Overcoming known challenges such as data growth, increasing complexity and budget restrictions
* Additional requirements driven by sustainability, AI applications, cyber threats and much more
* The “Data Factory” - from rapid data ingestion to long-term, cost-effective and secure data storage

Register now and explore the Data Factory with us!

A Tour of the Data Factory: From Edge to Core to Cloud

Exportez vos sauvegardes dans le cloud

Avec la croissance continue des données, l'augmentation de leur valeur et la menace constante des ransomwares, les entreprises doivent rester vigilantes et adhérer aux meilleures pratiques de sauvegarde et de restauration qui incluent des copies multiples des données et une protection hors site.
Les appliances Quantum DXi® peuvent être déployées sur des sites périphériques, des centres de données centraux et le cloud public, agissant comme un ensemble de ressources coopératives pour protéger les données où qu'elles se trouvent. 
Le stockage objets ActiveScale™ propose une nouvelle approche innovante pour créer un référentiel de données simple et « toujours actif » qui évolue quand et comment vous en avez besoin, avec la durabilité, l'accessibilité et la sécurité extrêmes des données requises pour une croissance à l'échelle du Pétaoctet. Vous pouvez désormais créer votre propre environnement de stockage cloud privé et faire passer vos magasins de données de téraoctets à exaoctets.

Rejoignez-nous pour discuter des technologies clés nécessaires à la mise en place d'une structure de protection des données simple et rentable au sein de votre infrastructure interne et des ressources résidant dans le cloud. Nous verrons comment : 
- Les appliances DXi et ActiveScale Cold Storage peuvent se combiner afin d'apporter une solution parfaite de cyberprotection
 -Les appliances virtuelles, les appliances physiques et les cloud de stockage fonctionnent ensemble pour protéger entièrement vos données
-La réplication et la hiérarchisation intégrées réduisent considérablement le coût de la mise en œuvre des meilleures pratiques de protection des données 3-2-1-1
-Les techniques intégrées de réduction des données permettent de multiplier par 70 l'efficacité du stockage et du réseau
-Les sauvegardes sécurisées hors ligne vous protègent contre les attaques de ransomwares.

Protection des données  de bout en bout,  Edge, Core et Cloud

Data is a company's most important asset. An effective and reliable retention strategy is essential. The requirements include immutability, easy access and simple data management - at the lowest possible cost. 

With the right combination of modern hardware and software resources, not only can these requirements be met, but also corporate ESG (environmental, social and governance) standards.

In this webinar, you will learn: 

- How the right long-term data retention strategy can help close the gap between data growth and infrastructure budgets and meet security and compliance requirements
- How the combination of object storage and robust tape storage is not only environmentally friendly but also eases the burden on the IT budget
- How to maintain sovereignty and control over data while utilising cloud archiving services  
- How to reduce data storage costs by around 80% and CO2 emissions by up to 95% by migrating inactive data
- How existing solutions can be easily integrated into the new cold storage infrastructure thanks to the flexible design of S3 APIs

The Ideal Storage Combination for Inactive Data

With continued data growth, the increasing value of data, and the constant threat of ransomware, organizations must be forever vigilant and adhere to backup and recovery best practices that include multiple data copies and offsite protection. Quantum DXi® appliances may be deployed across edge sites, central data centers, and the public cloud, acting as a co-operating set of resources to protect data wherever it lives. Join us to discuss the key technologies required to build a simple, cost-effective data protection fabric across both your in-house infrastructure and cloud-resident resources. Learn how to protect your data—and your business operations-- from harm. We will discuss how:

End-to-End Data Protection Across Edge, Core, and Cloud

Given the huge amounts of data that need to be stored, companies are utilising resources in both the public and private cloud - depending on their budget, the frequency of data access and their data protection requirements.
 
As technology and regulatory requirements evolve, organisations have to constantly reassess their data management strategies to stay ahead of the curve. As a result, they are increasingly looking to create flexible, hybrid cloud workflows that can be customised to their individual needs and goals.
 
In this talk, we will show you how to develop and implement an optimal hybrid cloud strategy, ensuring your unstructured data is always in the right place at the right time and saving storage and energy costs in the process. 
 
The topics include: 
• Assessing what data needs to be where
• Optimising data migration and repatriation to and from public and private clouds
• Increasing storage savings in a multi-cloud environment
• Configuring your hybrid cloud to meet your needs now and in the future 
• Strengthening security and compliance and gaining visibility into your data 
• Reducing CO2 emissions and power consumption by 80%

More flexibility, security and data sovereignty with the hybrid cloud

La puissance de l'innovation : notre stockage objet donnée froide, une solution avancée alliant sécurité, durabilité et économie

Le stockage à froid ActiveScale™ vous offre une solution sécurisée, évolutive et rentable : vous pouvez désormais créer votre propre environnement de stockage dans le cloud privé et voir vos données passer de téraoctets à exaoctets en toute transparence. ActiveScale est la seule plateforme de stockage d'objets conforme à S3 conçue pour les données actives et froides, idéale pour l'analyse des données, l'archivage actif et la conservation des données à long terme. ActiveScale propose une approche innovante pour créer un référentiel " toujours actif " facilement évolutif - avec la fiabilité, l'accessibilité et la sécurité des données requises pour une croissance mesurable en pétaoctets. 

L'équipe Quantum est à votre disposition pour vous aider à élaborer une stratégie de stockage de données froides permettant à vos clients de gérer et d'extraire davantage de valeur de leurs ressources numériques croissantes.

ActiveScale Cold Storage: l’innovation avec la simplicité du cloud

Supercloud is becoming a big deal, and not just because it combines the biggest clouds in the world.

Organizations are invested in major cloud solutions, but they're facing some growing pains. Many IT departments support critical applications in different clouds, even as they spread their own infrastructure from the core to the edge.

Join this MegaCast to find interfaces to allocate, migrate and terminate resources through a homogenous network that ties the resources together, no matter which, or what type of, cloud they exist in.

Turn your disparate collection of different cloud subscriptions into a Supercloud!

Supercloud - The Cloud of Clouds Includes On-Prem and the Edge

Today, virtual production has come of age and the industry is now able to take advantage of the savings, flexibility and visual advances that the technology presents.

All the elements that go into virtual production  are advancing rapidly, from displays to lenses, cameras and graphics. Along with displays, the other main driver for making virtual production work is data, which is crucial in such media processes as asset creation, motion capture, real-time rendering, camera tracking and performance capture.

In a recent survey of the film and TV industry, 40% of respondents said they are using virtual production on current projects and half said they are likely to do so in the next 18 to 24 months.

Simply put, without advances in displays and data, virtual production would be impossible. In this EcoCast, we’ll explore how broadcasters can use these advances to streamline virtual production to save time and money.

AI in the Media： Is AI⧸ML Just Another Name for Automation?

Quantum lance Myriad qui combine toutes les innovations de ces dernières années autour du stockage fichier et objet pour proposer une architecture répartie, scale-out et full NVMe basée sur Kubernetes. Quantum répond à la prochaine ère de données avec une solution moderne et flexible conçue spécialement pour les données non structurées. 

Rejoignez-nous pour une présentation des principales fonctionnalités de Myriad, les meilleures cas d'utilisation, les Q&A et apprenez à : 
- Pérennisez votre infrastructure avec un logiciel natif pour le cloud qui ne nécessite pas de matériel spécialisé.
- Remplacez les racks de disques et réduisez l'empreinte de votre centre de données, les coûts d'énergie et les émissions.
- Protégez les données et assurez une restauration rapide grâce à des instantanés intégrés, des outils de restauration et des fonctionnalités de retour en arrière.  
- Libérez les ressources informatiques grâce à la gestion automatisée du stockage qui élimine le besoin de compétences informatiques avancées.

Tout sur Quantum Myriad : première plateforme de stockage 100% logicielle

Delve into the application of Artificial Intelligence (AI) and Machine Learning (ML) techniques to optimize and monetize large-scale content. The session explores how AI and ML can be leveraged to enhance the quality, relevance, and accessibility of digital content, making it more engaging for users.

Content Optimization: Discussion on how AI/ML algorithms can analyze and optimize various forms of content, such as text, images, and videos, to improve overall quality and user experience.

Personalization: Insights into how AI/ML technologies enable personalized content recommendations, tailoring the user experience based on individual preferences and behaviors.

Scalability: Exploration of strategies for implementing AI/ML solutions at a large scale, ensuring efficient processing and enhancement of vast amounts of content.

Monetization Strategies: Examination of how organizations can capitalize on AI-enhanced content through effective monetization strategies, including advertising, subscriptions, and other revenue streams.

AI/ML for Large-Scale Content Enhancement and Monetization

Dans le monde d'aujourd'hui, il est essentiel que vos données non structurées soient non seulement stockées de manière sûre et fiable, mais aussi qu'elles soient toujours disponibles au moment et à l'endroit où elles sont nécessaires, et ce de manière rentable et économe en énergie.
 
Du stockage haute performance pour les données "chaudes" à l'archivage à long terme des données inactives "froides", en passant par les appliances de sauvegarde et le stockage d'objets pour la protection des données. Lors de notre webinaire, nous présenterons des solutions pratiques pour une gestion complète des données tout au long de leur cycle de vie.
Nos thèmes :
- Surmonter les défis connus tels que la croissance des données, la complexité croissante et les restrictions budgétaires.
- Exigences supplémentaires induites par la durabilité, les applications de l'IA, les cybermenaces et bien plus encore.
- La "Data Factory" - de l'ingestion rapide des données au stockage des données à long terme, rentable et sécurisé.
 
Inscrivez-vous dès maintenant et explorez l'usine à données avec nous !

Visite de la « data Factory » : de l'Edge au Core en passant par le Cloud

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cold data

sauvegarde

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Visite de la « data Factory » : de l'Edge au Core en passant par le Cloud

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