2019 The year of the edge-centric, cloud-enabled and data-driven enterprise - HP Certifications

In 2019, enterprises will focus on accelerating innovation and transformation — HPE experts provide new predictions

Our world has been fundamentally transformed by digital technology. What began with the mainframe and early supercomputers being used to solve isolated, complex functions, has since evolved to solve modern data-driven needs. Challenges that requires a new way of computing that is virtually instantaneous and intelligent, secure, and built for today’s “edge to cloud” requirements.

Today, digital transformation is creating countless possibilities in a world where everything computes and where everyone and billions of connected “things” – devices, cars and homes, workplaces, stadiums, hospitals, and factory floors – shares data. It’s what’s driving us to a faster, more intelligent world.

It’s a world where machine learning and artificial intelligence can help companies make decisions automatically and autonomously. The explosion of connected things creates a wealth of new mobile and IoT-based services and capabilities from edge to the cloud and across the enterprise.

According to IDC, “by 2022, more than 40% of organizations' cloud deployments will include edge computing to address bandwidth bottlenecks, reduce latency, and process data for decision support in real time.” [1]

In 2019, a more edge-centric, cloud-enabled and data-driven enterprise approach, coupled with flexible, consumption-based IT, will ease the burden of administration and enable organizations to focus on revenue generating priorities and new capabilities to accelerate customer innovation and enterprise transformation. HPE experts provide specific predictions for the New Year.

1. "In 2019, we see two dynamics at play in the Internet of Things (IoT) and at the edge. First, the deployment of enterprise-class IT for edge analytics, enabling the execution of unmodified data-center and cloud applications right at the edge. Second, the physical convergence of IT systems with operational technology (OT) functions -- control systems, data acquisition systems, and industrial networks -- like how the modern smartphone has converged many consumer functions all into a single device. These dynamics are material for realizing the promise of the IoT: to capitalize on the vast amounts of data created by the ‘things’ at the edge, driving automation and creating new customer experiences and business models." – Tom Bradicich, Vice President and General Manager, Converged Servers, Edge and IoT Systems, Hewlett Packard Enterprise
2. “In 2019, hybrid cloud will be the norm, with organizations using multiple public clouds, private clouds, containers and hypervisors. The only way to respond to this uber hybrid world is to offer an open approach to building solutions and managing environments—an approach anchored by composability. This will provide organizations with the integration and flexibility to address any workload. With increased cloud adoption, the pace of business has changed as well. In 2019, infrastructure automation, and machine learning and artificial intelligence for predictive and proactive operations will be required to achieve agility and keep pace with today’s data-driven businesses.” – Ric Lewis, Senior Vice President and General Manager, Software Defined & Cloud Group, Chief Technology Officer, Hybrid IT, Hewlett Packard Enterprise
3. “In 2019,mark the year of intelligent storage for businesses. IT decision makers at these companies will utilize intelligence to address their always-on, always-fast requirements, including: Full stack intelligence that predicts issues and resolves them before they become a problem in their data center; the need for a data browser that delivers global visibility to their data assets and enables intelligent placement of workloads and data; and end-to-end data lifecycle management that is context-aware and effortless. The new year will also mark the adoption of storage class memory that extends the acceleration and consolidation value of all-flash arrays to even the most demanding workloads that require ultra-low and predictable latency.” – Milan Shetti, General Manager, HPE Storage, Hewlett Packard Enterprise
4. “In 2019, the global race to exascale will be in full-swing and we’ll see multiple procurements announced, revealing a plethora of technologies, integrators and even sites for hosting exascale systems. Storage-class memory, flash-based filesystems, Field Programmable Gate Arrays (FPGAs), ARM microprocessors and even custom ASICs, will have a home in exascale solutions. While still in its infancy stage, software will be recognized as a key investment area to capitalize on the scale of exascale. As for more traditional vendors and technologies, we may see their support being scarce in addressing the drive for solving some of the world’s toughest problems, as we anticipate more use cases to emerge.”– Bill Mannel, Vice President and General Manager, HPC and AI, Hewlett Packard Enterprise
5. In addition to machine intelligence from modeling and simulation, based on rules and laws of physics, we will also see HPC cycles being increasingly dedicated to machine learning in 2019, based on consuming large amounts of data examples.” – Eng Lim Goh, Chief Technology Officer and Vice President, HPC and AI, Hewlett Packard Enterprise
6. “Reducing the risks caused by the massive introduction of IoT devices on the network will be a top priority for organizations in 2019. Securing and managing IoT devices to support business requirements is a top concern for business and technology leaders, along with stopping advanced threats, as hackers continue to get more sophisticated. The challenges will lie in effectively adopting these innovative new technologies, without putting corporate data at risk or burdening IT teams.” – Keerti Melkote, President, Intelligent Edge for HPE and Senior Vice President and General Manager, and Founder of Aruba Networks
7. “In today’s pay-as-you-go world, consumption-based IT is the single trend emerging that impacts the offices of the CEO, CFO, CIO, and the VP of Product Development. This economic model resonates broadly across the enterprise as the benefits are tangible with consumption-based IT on premises and managing cloud consumption. When businesses pay only for what they use – they achieve close to 100% economic utilization. Across their organizations, they can quickly deploy IT to support new projects, new businesses, and new customers. Consumption-based IT provides businesses with personalized attention, enables them to eliminate some of the ‘heavy lifting’ necessary to operate IT, and allows them to focus on growing their own enterprise.

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how looking at the entire product lifecycle can help businesses achieve a more sustainable future

We have just one Earth.

But at our current rate of consumption, we need about 1.7 Earths in order to provide all of the resources we expend on an annual basis.

Given the challenges our planet faces today due to energy and resource consumption, further exacerbated by population growth, the concept of sustainability – in order to truly live up to its name – must be more comprehensive than perfunctory efforts. Indeed, we must bend the curve from a take-make-dispose model to a regenerative and restorative system that eliminates waste through the superior design of materials, products, and business models.

That approach is the foundation for the Circular Economy, a sustainability paradigm with the ultimate goal of creating net-zero impact by addressing every phase of the product lifecycle: from resource extraction to product design and use, through to end-of-use management.

When Circular Economy principles are embraced, it’s good for both business and our planet. While environmental disruption creates vulnerabilities from material scarcity or fluctuating commodity prices; actively managing our consumption creates infrastructure efficiencies, opportunities for innovation, and business resilience. We fully believe that at HPE– as we announced today with the release of our new Circular Economy Report – we can help organizations drive financial and business results with efficient solutions that maximize material, resource, and equipment efficiencies for IT infrastructure.

At HPE, we are following Circular Economy principles as we innovate the IT infrastructure of the future, not simply because of the environmental and societal benefits but because it is a strong driver for economic growth.

As we indicate in the Circular Economy Report, which is available to HPE Financial Services Lease Return and Asset Upcycling Services customers, HPE is able to provide IT and sustainability organizations with information about the carbon, energy, material, and landfill savings achieved by returning retired or end-of-use assets to us for processing through HPE Technology Renewal Centers.

Specifically, the report, based on sophistical life-cycle-analysis and economic assessment, shows a breakdown by category of the IT products that were refurbished, remarketed and reintroduced into the economy as products, and those that were recycled and put back into the economy as recycled materials.

This is important information for organizations to share, especially as investors and customers increasingly request the disclosure of a company’s environmental impacts. But even more important than the information is the message behind it:

That we have the capability to find new ways to manage the explosive demand for data by using far less space, materials, and energy.

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Intelligent storage: Unlocking your data’s potential - HP Certifications

Intelligent storage: Unlocking your data’s potential

Data creation is following an exponential growth curve, doubling each time it’s measured. It’s created in more places than ever and in amounts bigger than previously conceived. This explosion of data is bringing with it a mountain of challenges, but also a wealth of opportunities. With the right tools, analysis of this data can provide insights to drive business forward. Those who use AI and analyze big data correctly can become more efficient and more competitive. They can attain new customers, discover new sources of revenue, and find new business models. Those who don’t will get left behind; they’ll only get missed opportunities from their data.

In light of the dawn of big data, technology companies are offering vastly greater storage capacity coupled with improved servers. On top of this, there are open source programs with analytics and machine learning software available for all. Companies also have cloud services enabling an almost unlimited volume of data to be stored, so why isn’t IT thriving? IT is struggling under the weight and volume of such huge systems. The complex nature of the new capabilities is leading to insufficient operations, escalating costs and lost opportunity.

It’s not just the volume of data that’s causing inefficiencies, it’s also a problem of place. Data is being stored in private on-premises clouds and in the public cloud. Furthermore, it’s increasingly being created at the edge. This data must be transferred, analyzed and readily available when and where it’s needed. Current solutions weren’t designed and aren’t prepared for this hybrid cloud environment. They can’t efficiently sort the data and move it between the hybrid cloud, edge and data centers while maintaining security and privacy. The plethora of variables disrupt and slow the process, resulting in downtime, displacement and a situation where administrators spend time trying to control the system failures, rather than planning and improving data storage and access.

Intelligent storage helps unlock data’s full potential

HPE intelligent storage is self-managing, self-healing and self-optimizing, offering as-a-service storage solutions which facilitate efficiency and drive business outcomes while reducing costs. The AI-driven HPE InfoSight learns from the data it can access globally, allowing it to make insights based on huge amounts of information. This benefits everyone using it as the insights are made in one place, but drive solutions that can be implemented anywhere. HPE Cloud Volumes is built for the cloud, allowing users to access their data when and where they need it, no matter where it lives. It delivers the data mobility that is now a necessity in the hybrid cloud reality. HPE GreenLake Flex Capacity is a consumption-based, pay-per-use solution, reducing costs while also providing for any unpredictable growth in data. It simplifies storage operations, allowing businesses to focus on their goals, knowing data and insights are there when they’re needed, no matter the size of data input.

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News Released - HP Appoints Kim Rivera as President, Strategy and Business Management

HP Inc. (NYSE: HPQ) announced today that Kim Rivera, Chief Legal Officer and General Counsel, has been named President, Strategy and Business Management, effective January 1. She succeeds Interim Chief Operating Officer Cathie Lesjak who previously announced she will retire in early 2019.  

Rivera is a proven leader who has spent her career working with Fortune 500 companies across multiple industries managing an array of business, strategy, risk and legal disciplines. She joined HP in 2015, responsible for all aspects of legal, government relations, compliance and ethics. In her expanded role, Rivera will now also lead the company’s Strategy and Business Management organization.

“Since joining HP, Kim has proven herself time and again not only as an expert in legal and policy areas, but as an essential advisor to our business and regional leadership team and Board of Directors. Her understanding of the entire organization combined with her ability to thoughtfully navigate highly complex issues have added tremendous value to our business,” said Dion Weisler, HP President and Chief Executive Officer.  

Prior to HP, Rivera held a variety of positions including: Chief Legal Officer and Corporate Secretary for DaVita HealthCare Partners; Chief Compliance Officer and Head of International Legal Services at The Clorox Company; and Chief Litigation Counsel for Rockwell Automation as well as General Counsel for its $2B Automation Controls and Information Group.

Rivera is a recent recipient of the Burton Legends in Law award as well as Harvard Law School’s Center on the Legal Profession Award for Professional Excellence. Her bio is available here.

About HP Inc.

HP Inc. creates technology that makes life better for everyone, everywhere. Through our product and service portfolio of personal systems, printers and 3D printing solutions, we engineer experiences that amaze.

Discover how to reap the benefits of AI at HPE Discover 2018 Madrid

Your organization's ability to reap the benefits of AI will largely depend on the technology you use, the data you analyze, the IT partner you choose, and the financing you tap to fund your projects.

If you have plans to implement AI in 2019, attending the HPE Discover 2018 Madrid conference will give you a clearer picture of how to realize the benefits of AI while enhancing your understanding of the technology and the IT expertise you'll need to achieve your AI goals. Sharing ideas with HPE executives can also help you define your AI priorities and justify your investments.

This conference provides you with an opportunity to network with experts and executives who have a firm understanding of exactly how AI can help your business thrive in a competitive environment. Additionally, you can attend several AI sessions that are geared toward educating you about our products, our services, and our customers' AI success stories.

Proven ROI gains and high adoption

AI investments are already paying off for companies that have embraced the technology. In 2018, Deloitte surveyed 1,100 U.S. executives from companies considered early adopters of AI to gauge the benefits of AI implementation projects. Eighty-two percent of respondents said they gained a positive return on their AI investment, with a median return of 17 percent.

The survey also showed that among early adopters, the most complex AI technologies have the highest adoption levels, with machine learning at 63 percent, natural language processing at 62 percent, computer vision at 57 percent, and deep learning neural networks at 50 percent.

As the pressure to meet business demands grows, the survey found that 63 percent of respondents are using AI to catch up to, keep up with, or move ahead of their competitors, and 37 percent say they are using AI to widen their lead against their competitors.

HPE: your one-stop partner for AI

As you seek to keep your organization competitive, you'll want to find an IT partner that can navigate the complexity of AI and design an end-to-end solution that unlocks the value of your business.

When it comes to planning and implementing an AI solution, teaming up with HPE can strengthen your organization's ability to achieve your AI goals while easing the overwhelming feeling you may have that an AI project is a daunting endeavor.

What you want in a partnership is the ability to tap IT skills that can help you, for example, identify data collection and pre-processing requirements for training readiness or create a self-sufficient data pipeline so your data scientists can spend more time applying analytics and optimizing their models. You'll also need a partner to help you access an established AI ecosystem of ISV and technology partners for strategic planning and performance optimization in your industry.

Your ability to define hardware and software design requirements for both proof of concept and scalable deployment, and access proven reference configurations with AI features built in, can be critical to your AI project's success. A partnership with our team at HPE can help you on your way.

Additionally, HPE can provide flexible alternative purchasing opportunities that help you avoid purchasing and infrastructure maintenance costs.

As you think about striking a partnership with HPE and consider the technology you'll need, the skills you'll require, and the resources (like the HPE Deep Learning for Dummies guide) that will guide your progress, I encourage you to attend a few specific events that will help you plan your 2019 AI strategy. I hope to see you at HPE Discover in Madrid. Even if you are unable to travel to Madrid, you can still experience the event and learn from our experts. Simply logon to Discover More for livestream and on-demand content.

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HP HPE0-S50 Exam Study Guide - Integrating HPE Synergy Solutions

HP HPE0-S50 Exam Dumps Pdf - 2018 HPE0-S50 Actual Exam Dumps

HP HPE0-S50 Exam Syllabus | HPE0-S50 Dumps Practice Exam Questions

This certification validates candidates’ ASE level skills integrating HPE Synergy solutions. Successful candidates will be able to demonstrate appropriate expertise with:

• Planning and designing Synergy solutions
• Installing, configuring, and setting up Synergy solutions  
• Troubleshooting Synergy solutions
• Managing, monitoring, and maintaining Synergy solutions

HP HPE0-S50 Exam Objectives

Plan and Design Synergy Solutions     17%

• Given an architect’s design, validate the solution is complete and the site is prepared for implementation.
• Given a scenario, validate the solution design for compatibility and workload requirements against the existing infrastructure
• Given a scenario, identify the required components for an implementation plan. 

Install, Configure, and Set Up Synergy Solutions     42%

• Describe the installation process and startup procedure for solution components.
• Describe how the advanced configuration of the solution components is performed.
• Describe how to validate proper solution functionality. 

Troubleshoot Synergy Solutions     23%

• Given a scenario, use the appropriate tools to analyze an identified issue.
• Given a scenario with an issue, explain appropriate steps for resolution. 
• Given a defined issue and action plan, explain the consequences and implications of the proposed actions. 
• Identify appropriate measures to limit reoccurrences of resolved issues. 

Manage, Monitor, and Maintain Synergy Solutions     18%

• Identify appropriate tools to gather performance data and establish a baseline.
• Given a customer environment, determine installation order of upgrades and the potential effect on the customer's environment. 
• Given a customer’s performance data and solution design, identify the bottleneck.
• Given performance analysis information, identify changes in customer workloads and determine the necessary steps to include in the action plan. 
• Using support matrices, evaluate software and firmware compatibility. 
• Describe methods for modifying configuration of components, including configuration templates, to meet changing customer requirements. 

HPE0-S50 Course Duration | HPE0-S50 Exam Questions | HPE0-S50 Exam Passing Score

• Exam ID: HPE0-S50
• Exam type: Proctored
• Exam duration: 1 hour 30 minutes
• Exam questions: 60 questions
• Passing score: 68%
• Delivery languages: English

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