For your modern IT organization to be successful, you need to be more visible, expedite service delivery, and place more emphasis on enabling the business to extract value from data.

In this article we discuss the modern-day challenges IT organizations face and how HPE GreenLake with Nutanix can provide three key solutions.

Modern Enterprise Challenges

There is a disconnect between business objectives and business demands when it comes to IT organizations. According to ESG research, “nearly nine in ten organizations expect to run 50% or more of their workloads on-premises.” IT departments, however, are held to a different standard: the hybrid cloud infrastructure.

Does your IT department find itself spending too much time managing individual infrastructure components due to two systems you have to manage (on-premises and hybrid cloud)? With the lack of IT resources, this fuels the growing adoption of cloud services, and the high number of additional workloads stretches your IT departments too thin. On top of that there has been a limited amount of talent or budget to support your IT department which affects the scalability of an organization to meet the myriad of demands.

How HPE And Nutanix Meet Business Expectations

Modern organizations need to implement a cloud-like, consumption-based model for their IT departments. This is where HPE GreenLake and Nutanix Enterprise Cloud come into play for your business.

is a fully managed, scalable IT infrastructure service offering a cloud-like consumption model for on-premises infrastructures. Your organization can choose the most appropriate services based on your needs and have the option to pay as you go. HPE GreenLake is easily scaled with the added advantage of an onsite buffer when extra capacity is needed.

Nutanix delivers a complete IT infrastructure with the agility, scalability, and simplicity of the cloud, and the security, performance, and cost predictability of traditional on-premises infrastructures. It satisfies application workloads from end-user computing environments with VDI to mission-critical database applications that serve as the backbone of the business.

HPE GreenLake With Nutanix: 3 Key Solutions

Thankfully, your organization doesn’t have to choose between the two services as HPE and Nutanix have collaborated to better support customers. concentrates on three key solutions to address modern IT organization challenges:

1. End-User Computing Infrastructure: As an end-user, computing infrastructure releases your IT personnel from routine, labor-intensive tasks to instead work on value-added initiatives by providing you faster and easier deployment and management to your VDI and DaaS infrastructures. This enables your IT department to supply users with the applications they need with strengthened security.

2. Database Infrastructure: The consolidates disparate workloads into one efficient management platform by streamlining your database deployment, management, and operations. Your organization can rapidly provision, clone, patch, refresh, and perform backups, while the pay-as-you-go model drastically reduces expenses by eliminating upfront capital expenditures.

3. Private Cloud Infrastructure: Private cloud infrastructure provides IT organizations the ability to reliably deliver applications and data at any scale and provision, update, and perform disaster recovery with one click. It allows your organization to support business-critical workloads by bringing together the agility of on-premise with the security and flexibility of a private cloud.

For your modern IT organizations to thrive, you must embrace an as-a-service delivery model. HPE GreenLake with Nutanix supports your IT department in their journey to better align resources to your specific lines of business and has a wide variety of applications and infrastructure demands.

Interested In HPE and Nutanix’s Solutions?

To keep up with the demands of the digital world, enterprises must prioritize efficiency as the key focal point of their IT modernization strategy. HPE GreenLake with Nutanix enables your enterprise IT department to use the tools you need to be successful on your own terms. The strategic partnership between HPE and Nutanix has paved the way for improved operational efficiency, agility, and customer-centricity. If you’re ready to make the change now, contact WEI to find out how you can successfully implement HPE and Nutanix solutions to improve your organization’s end-user computing, database, or private cloud infrastructures.

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Regardless of the industry, all enterprises are looking for strategies to improve their organizations and stay competitive in the market. However, when it comes to technological innovation, there’s one piece in particular that often blocks the way forward: the human element. While computers may still lack the creativity that sets the human mind apart, artificial intelligence (AI) has become an increasingly important part of modern computing, especially when it comes to processing and managing data.

This has never been more apparent than over the last year and half. In the midst of a global pandemic, enterprises utilizing AI in ways that reduced in-person hours reported that repetitive, day-to-day tasks, especially within the data center architecture, faired the storm far better than other organizations. AI was also a critical component when it came to implementing and managing remote workforces.

A conducted by IBM shows that as a result of the global pandemic, many enterprises accelerated the adoption of AI in the workplace However, some have yet to implement AI in a significant way, citing barriers to adoption such as a lack of proper knowledge amongst the IT team and difficulties identifying where AI solutions will make the most impact within the digital environment.

If these challenges sound familiar, ‘s AI solutions can help. Keep reading to find out how!

Determine Your AI Strategy in 5 Steps

The first step to implementing any new technology is building your strategy. According to Dell, there are five steps that are essential to every artificial intelligence project.

1. Define your use case. How are you going to utilize AI? What are your goals? How will you measure success? Are your goals and implementation strategy feasible?
2. Assess data. What data will be involved in your AI initiatives? Where does that data live? How will it be accessed and how does it need to be prepared for your project?
3. Identify model. Determine which AI model will work best for your use case. Which tools are needed to create, train, and prove this model?
4. Optimize software ecosystem. How will you move your model into production? What is your development process going to look like?
5. Determine IT environment. Your desired outcomes will determine the type of deployment that will work best, whether that’s private, public, edge, or hybrid cloud. You should also determine your latency and throughput requirements, as well as any other specifications.

By following these five steps, you can be sure that you will be properly prepared when it comes time to actually implement your AI strategy.

Dell’s AI Solutions Can Help You Find Success

Once your plan is in place, it’s time to begin your implementation journey. Finding the right vendor to partner with is just as important as planning your strategy, so it’s something that should be carefully considered.

that support digital transformation and innovation efforts, Dell can assist you in all your AI initiatives, from the implementation phase to ongoing maintenance and security efforts.

As a Dell customer, you’ll also have access to the , Dell’s dedicated group of computer scientists, data scientists, engineers, and subject matter experts, all of whom are constantly pushing the boundaries and exploring new ways of utilizing these technologies.

Dell’s portfolio of AI and data solutions is also available in either direct or as-a-service management models, letting you choose the option that best suits your needs and budget.

If you’re looking for a partner to join you on your journey to AI implementation, look no further than Dell Technologies.

Are You Interested In Dell’s AI Solutions?

is committed to helping enterprises transform the way they do business. To support this, innovation is at the forefront of all their solutions, enabling you to transform your infrastructure and accelerate the innovation you need to stay competitive. If you’re ready to make AI work for your business, contact WEI to learn more about how we can help architect the right solution to power your AI initiatives. We have expertise across all Dell systems and can help build the right solution to achieve your desired business outcomes.

NEXT STEPS: Many of our customers choose to run their business on Dell VxRail. Find out the TOP TEN reasons why in our tech brief about the benefits of VxRail below. 

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Software defined storage (SDS) has the potential to revolutionize your business processes and drive extraordinary value. However, storage isn’t just measured by capacity. In our previous blog post, we laid out the example of thinking of your organization’s storage infrastructure like a virtual city: there are specific places designated for each type of data, from highly-utilized information to archives. Because of this, there is a true need for segmenting your resources; today, SDS is finally allocating true Automated Storage Tiering (AST) for enterprises. AST has created a natural and timely partnership with flash storage to offer the speed and performance that personal computing devices have enjoyed for years and many organizations are now considering all-flash based arrays to meet the demands of server virtualization.

The Case for Tier Separation

The from $1,409.7 million in 2014 to $6,217.6 million by 2019, at an estimated compound annual growth rate of 34.6 percent from 2014 to 2019. Your organization creates and demands all types of data, and each of these data classes summons different demands from your storage infrastructure. To meet these needs, your data infrastructure should be separated into multiple tiers.

For example, one type of data may require (and justify) incredibly high performance, no matter the cost, while other data classes only require modest performance at a reasonable cost. On the other end of the spectrum, long-term retention data and archived information can settle for minimum levels of performance.

A possible example of an Automated Storage Tiering design could look like this:

• Tier 0: Flash Storage.
• Tier 1: Production storage (prior to Flash storage, this used to be the top tier). High value data that is regularly utilized should reside here.
• Tier 2: Intermittent storage. Low cost/performance disks can be implemented for data that is only accessed every so often.
• Tier 3: Tape storage, which is necessary for required archives with strict government and industry regulations.

The idea of Automated Storage Tiering in an SDS environment is nothing new; it has been around for decades, but has previously lacked the intelligence mechanism to optimally implement it. Up until now, storage was assigned by age or some similar determinate that provided a best guess at tier assignments. Today, SDS systems use sophisticated algorithms that calculate usage and relative demand of data chunks. Then, data can be elevated or demoted between the available tiers.

Cloud Computing Makes Automated Storage Tiering Possible

The cloud is creating even greater opportunities for AST as more organizations are employing cloud-based storage. Cloud service providers and vendors are now offering storage devices that serve as a front-end storage appliance for the cloud. Rather than moving data between different physical hardware, these appliances shuffle data between local direct attached storage (DAS) locations and the cloud. They can also provide large caching depositories for data that is being saved off-premise.

The decisions organizations make are only as good as the data that is used to formulate them. We are in an era where the value of a company can be directly attributed not only to the value of its data, but the ease of its accessibility, and the capability and aptitude to analyze and process it. The decoupling of software from hardware is opening the door for new innovations and is giving IT managers the levels of data management and cost control that up until recently was only imaginable.

The benefits and value of SDS is being recognized by top industry leaders and future tech disruptors. Do you think it’s time for your organization to embrace SDS as well?

Read the white paper, to learn more, then to discuss which SDS solution is right for your business.

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