NetApp (NASDAQ: NTAP) today announced that Brendon Howe, senior vice president, cloud services, will participate in a fireside chat at the Goldman Sachs Technology and Internet Conference on February 14, 2019 at 9:30 a.m. Pacific Time.
Kris Newton, vice president, corporate communications and investor relations, will participate in a fireside chat at the JMP Conference on February 25, 2019 at 1:30 p.m. Pacific Time.
George Kurian, chief executive officer, will participate in a fireside chat at the Morgan Stanley Technology, Media & Telecommunications Conference on February 26, 2019 at 9:30 a.m. Pacific Time.
About NetApp
NetApp is the data authority for hybrid cloud. We provide a full range of hybrid cloud data services that simplify management of applications and data across cloud and on-premises environments to accelerate digital transformation. Together with our partners, we empower global organizations to unleash the full potential of their data to expand customer touchpoints, foster greater innovation, and optimize their operations.
Success Secrets: How you can Pass NetApp Certification Exams in first attempt
Join us during HIMSS 2019 at the Orange County Convention Center in Orlando, FL to learn how NetApp is partnering with organizations to transform healthcare with data, allowing streamlined access to critical data, drastically reducing EHR latency and ultimately improving patient care.
Connect with the NetApp healthcare team for a full schedule of activities, and one-on-one VIP meetings. We’ve got so much to share with you and don’t want you to miss out on any of these valuable educational and networking activities:
Meet our NetApp Healthcare Team
The NetApp VIP Program is your opportunity to have a personal meeting with our healthcare business and technology experts to discuss private and hybrid cloud solutions for patient-centered care, including data security and management. We can arrange brief meetings to exchange thoughts and collaborate with you to solve your toughest healthcare environment challenges.
There is so much to do and see during the conference, so be sure to schedule your VIP today! Complete a meeting at HIMSS, and we’ll extend your NetApp experience with an exclusive invitation to visit to our VIP event on Tuesday, February 13, 2019.
Public Sector Healthcare Showcase
This year we are excited to host this showcase within the NetApp booth (#2779) on Tuesday, February 13th from 9:30AM to 12:30PM. During this showcase, we will feature presentations within our mini-theater specifically targeted for public sector.
Hear from NetApp healthcare leadership and technical experts, and government healthcare partners. Learn how our public sector customers are leveraging AI to advance research efforts and moving to cloud to simplify healthcare file management.
Be sure to stop in for customized coffee drinks courtesy of CDW-G and free giveaways for our public sector customers during this celebration of public sector healthcare.
Visit NetApp in Booth 2779
Come see why leading healthcare institutions count on innovative data management and storage solutions from NetApp to simply, reliably, and cost-efficiently share patient data across the continuum of care.
HCI solutions are built as clusters of commodity servers (x86) that provide an abstracted pool of capacity, memory, and CPU cores that are used as the foundation for server-centric workloads (the hypervisor, virtual machines, and applications), as well as storage-centric workloads (e.g., data persistence, data access and data management).
Although not yet widely realized, the hyperconverged market is entering a new phase of maturity. HCI solutions are now increasingly targeting mission-critical workloads, are larger in scale, and are used by a wide range of companies. Based on past IDC surveys, business applications (e.g., ERM, CRM, supply chain management, financial management, payroll/accounting) were the most common workloads running on HCI solutions. Other common applications running on HCI include collaborative and content applications, structured data analytics, and structured data management applications. IDC expects the use of HCI for mission-critical business applications to expand considerably.
While the types of workloads running on hyperconverged solutions are a good indication of how far the HCI market has quickly progressed, more must be offered to drive further market expansion. Modern HCI solutions must close important feature/capability gaps that exist with traditional datacenter infrastructure, enable an IT department’s shift towards public and private cloud infrastructures, and support an increasing need for organizational transformation within the datacenter.
The following are the most important attributes and capabilities a modern HCI solution must provide to ensure relevance as organizations push for expanded HCI use cases within their datacenters:
Application Performance Protection. With expanded use of hyperconverged infrastructure comes the need for HCI solutions that support an increased density of primary workloads. Thus, one of the most critical feature gaps that HCI solutions must address is support for predictable and guaranteed performance levels within such environments. With increased workload density comes the increased risk of resource contention. For hyperconverged solutions to thrive during this next phase of hyperconverged adoption, they must consistently deliver sub-millisecond response times and support hundreds of thousands to millions of IOPS. This is creating the need for a workload protection engine to address “noisy neighbor” issues and ensure that performance can be consistently delivered as required, no matter what else is going on in the system.
Integrate with Multiple Public Clouds. Modern HCI solutions must provide a private cloud platform that can be easily integrated with hyper-scale public cloud providers to create a seamless hybrid, multi-cloud experience. Features required to achieve this include:
Use of service catalogs that support on-premises resource and workload deployment
Support for highly portable workloads and automated bursting
Ability to seamlessly move data between on-premises, private clouds, and public clouds to support the ever-changing needs of a diverse workload portfolio
Seamlessly collapse management complexity to better support the lifting and shifting of applications from private clouds to trusted hyper-scalers and back again as business requires
Support for containers to accelerate development of new services
Support for chargeback of resource utilization
Provide a Common Data Fabric for Private & Public Clouds. IDC believes hyperconverged solutions have become an ideal platform for on-premises, private cloud deployments thanks to their scale-out, software-defined, highly automated architecture. But it’s important to recognize that the role of customers’ cloud-based IT solutions is to ingest, deliver, and exploit data no matter where that data is created or lives. Thus, a truly optimized hyperconverged-based private cloud should be considered a component of a broader, hybrid public/private cloud ecosystem that provides a “lingua franca” (or data fabric) that supports common data services for efficient placement, movement, and use of data across a true hybrid multi-cloud environment. Such a data fabric allows IT departments to incorporate newly deployed HCI solutions in their datacenters without creating additional management silos.
Enable Organizational Transformation. IDC notes that modern hyperconverged solutions are also increasingly looked upon to support organizational transformation within the datacenter. Therefore, modern HCI solutions must support consolidation of datacenter jobs/roles so that one administrator can take on the responsibility for virtualization, compute and storage. This consolidation of roles will help to free up time within the IT team for more innovative projects and ultimately help shift human capital to other critical parts of the datacenter that drive innovative, new revenue streams, and customer touchpoints rather than just maintaining status quo.
Scale Resources Independently. Many HCI solutions scale by requiring an additional node that would increase compute and storage resources together. This is commonly referred to as linear scaling. The problem with this is no datacenter grows in a linear way across all the pools. There are times when there is need for additional compute or additional capacity, but not both. To address these increasingly diverse needs, HCI solutions must evolve into a more elastic solution that grows with business requirements, not simply with IT vendor configuration requirements. If an environment becomes “storage intensive” or “compute intensive,” the infrastructure must be able to support this without stranding resources or requiring users to add a full node with more compute or capacity than is required.
Retailers use artificial intelligence (AI) to look at product images and information about what customers are browsing in real time, along with their previous buying patterns, to make accurate and personalized recommendations. AI also allows retailers to use dynamic pricing that is adjusted to make sales based on the customer’s location, characteristics, and habit. For example, even after a purchase is made, AI can offer accessories, warranties, and other logically related items. Al helps marketers understand the behaviors of their audience and analyze marketing placement to make certain that ads and campaigns are effective and are served appropriately.
AI is making online shopping even easier. Zalando (shoes and fashion), Pinterest (recipes and home ideas), and Omnious (fashion) speed up shopping with AI. Online retailer Zalando uses deep learning and GPUs in its extremely efficient Optimal Cart Pick algorithm. Pinterest uses AI to streamline its shoppers’ “pin” searches and identify best matches. Omnious has engineered an AI-driven, automated tagging engine that tags fashion images 100% faster than humans can.
Jet.com (e-commerce), Modiface (beauty apps), and Olay (skin care) use AI to empower savvy shopping. With AI optimizing suppliers, warehouses, and offers, Jet.com can fulfill orders at the best prices possible. Modiface combines AI and modeling technology to let customers experiment virtually with makeup before buying. Olay has created an AI-powered tool to help customers find the perfect products for their skin types.
Criteo (internet advertising), a British grocery giant, and KLM (airline) use AI to generate positive shopping experiences. With Criteo’s AI-based predictive data analytics, $55 billion is produced by online ads that target shoppers with products they want. A British grocery giant developed an AI-optimized warehouse that perfects and streamlines customer orders, and KLM engages in 15K weekly social media conversations with the help of DigitalGenius’ AI technology.
NetApp, the data authority for hybrid cloud, and NVIDIA, the leader in compute for AI, are enhancing the retail industry in innovative ways to transform shopping into a faster, smarter, and more rewarding experience. Learn how data visionaries and online merchants are joining forces with NetApp and NVIDIA to apply AI and deep learning to overcome countless business-critical retail shopping challenges.
