As companies lean into data-first modernization to deliver best-in-class experiences and drive innovation, protecting and managing data at scale become core challenges. Given the diversity of data and range of data-inspired use cases, it’s important to align with a robust partner ecosystem. This can help IT teams map the right set of services to unique workflows and to ensure that data is securely managed and accessible regardless of location.

Data volume has become a challenge for organizations as the size and velocity of data increase. Yet there’s no singular, one-size-fits-all framework for secure data storage and management. According to IDC, global data creation and replication will experience a compound annual growth rate (CAGR) of 23% by 2025. This means that organizations need access to a range of solutions for storing sensitive data at scale, especially considering mounting regulations that vary by geography and industry. Two well-known examples: GDPR in Europe and HIPAA privacy rules for health information in the U.S.

With data well situated as the lifeblood of organizations and as a core competitive differentiator, data security becomes paramount. The rise in ransomware attacks and other cybersecurity breaches has raised awareness of the issue and made securing the IT estate a top C-suite priority. 

Upgrading IT and data security to reduce corporate risk was the No. 1 CEO priority for respondents to the IDG/Foundry “State of the CIO Study 2022” research, cited by a third of the respondents. Almost half (49%) called out increasing cybersecurity protections as the top business initiative driving IT investments this year, up from 34% in 2021. 

The push for elevated cybersecurity protections is also filtering down into storage and data management requirements. Gartner research shows that 60% of all enterprises will require storage products to have integrated ransomware defense and mitigation mechanisms by 2025, up from 10% in 2022.

As enterprises modernize with cloud, connectivity, and data, they are gravitating to technology-as-a-service models to refashion IT estates. Traditionally these IT ecosystems feature silos spread across multiple environments, including on-premises data centers and colocation facilities at the edge or across diverse cloud platforms. Compounding the complexity: the problem of multigenerational IT and the challenge of establishing resilience and cybersecurity across workloads. This considering the disparity of the environment and due to mounting cybersecurity, regulatory, and privacy challenges. 

Without an overall strategy for modernization, companies risk mismanaging their edge-to-cloud data efforts, either overprovisioning, which incurs unnecessary costs, or underprovisioning, which impedes their ability to fully deliver for customers or hit key business goals. They may also lack on-location staff expertise to design and manage robust cybersecurity protocols. 

“Customers want to be provided with integrated and optimized hardware and software platforms … to make sure there’s no disruption at all in the business,” says Valerie Da Fonseca, worldwide GreenLake and GTM senior director at HPE. “The key here is to shape the right data strategy, so you simplify data management and provide access controls in an as-a-service model.”

Partner Ecosystem at Work

A rich partner ecosystem is essential for delivering next-generation secure data management protection from edge to cloud. HPE GreenLake’s backup-and-recovery services help companies fulfill data protection service-level agreements (SLAs) without having to make upfront capital investments or take on overprovisioning risk. On-demand cloud backup and recovery services ensure resilience at scale and allow for an agile response to changing business needs. Preconfigured on-premises solutions provide extended options, and a rich ecosystem of third-party partners gives customers choice.

The HPE GreenLake data protection portfolio delivers next-generation data protection services, from design and implementation to delivery with no vendor lock-in. The life cycle starts with HPE’s Zerto ransomware protection and disaster recovery services and extends to hybrid cloud data protection with the HPE Backup and Recovery Service. Finally, HPE offers on-premises data protection with HPE StoreOnce, a modernized data management solution for hybrid cloud that simplifies operations and delivers data protection based on common SLAs. Additional backup-and-recovery options from ISV partners such as Veeam, Commvault, and Cohesity complete the picture, ensuring that HPE GreenLake for Data Protection Services provides a breadth of choice to make data backup-and-recovery operations seamless and automated.

“The partner ecosystem delivers a comprehensive, end-to-end suite of services that adds value to HPE’s data protection strategy,” Da Fonseca says. “We are integrating everything into our hardware and HPE GreenLake as-a-service platform, and the solutions can be located everywhere and anywhere and be fully managed if customers don’t have the staff.”

To ensure the right data management/protection mix, HPE works with customers to understand their business needs and IT management challenges, creating a holistic strategy that encompasses the right partners and operating model. That level of comprehensive planning is crucial to safeguarding data and ensuring an end-to-end data management strategy that truly mitigates risk and meets the needs of the business. At the same time, making data protection available as a service streamlines the customer experience, providing time-to-market and cost advantages.

For more information, visit https://www.hpe.com/us/en/solutions/edge-to-cloud.html

Data Management

GSMA’s Mobile World Congress (MWC) 2023 in Barcelona—the largest and most influential event for connectivity—is expected to attract over 80,000 attendees from 200 countries and over 2,000 exhibitors. This year’s event will explore themes of 5G acceleration, immersive technology, open networks, fintech, and ‘Digital Everything’, encompassing intelligent solutions, Internet-of-Things, Industry 4.0, and how every industry and enterprise stand to benefit from these immense opportunities in the digital space within a global digital ecosystem.

At MWC 2023, Huawei Cloud will showcase its goal of unleashing new digital value through Everything-as-a-Service, a framework designed to enable and connect diverse local and global partners—whether individual developers, small enterprises, or multinational corporations—to maximize the potential of the cloud. Everything-as-a-Service brings together Infrastructure-as-a-Service, Technology-as-a-Service, and Expertise-as-a-Service in a unified approach to provide a complete range of digital solutions within a comprehensive ecosystem of partnerships.

“Huawei Cloud delivers everything-as-a-service to help carriers accelerate their application modernisation and jointly develop the enterprise market to unleash digital productivity,” says Jacqueline Shi, President of Global Marketing and Sales Services, Huawei Cloud.

Visitors can also expect new key releases such as:

Pangu AI Models – pre-trained foundation models with billions of parameters, which have been used in over 100 scenarios across more than 10 industries such as healthcare and energyLanding Zone – an end-to-end solution that provides cloud resource management, and access control capabilities, which mapped to the business architecture of large enterprises Cloud on Cloud – a digital solution that enables carriers to quickly obtain Huawei Cloud capabilities through resale, dual brands, or self-build brands, and allows businesses to build and operate their own cloud services

When combined, the offerings allow partners to leverage Huawei’s deep know-how stemming from 30 years of experience in ICT innovation, recognised by Gartner’s 2022 Magic Quadrant for Cloud Infrastructure and Platform Services for its Ability to Execute and Completeness of Vision.

Unleashing the Potential of the Cloud through Ecosystem Building

Cloud adoption is booming as enterprises identify technology as a key driver of business success. AI-enabled services and powerful scalability options are among the benefits being leveraged by organizations as they drive digital transformation projects. IDC forecasts global cloud spending to exceed US$1.3 trillion by 2025, and by 2027, experts predict that cloud adoption will have become mainstream, with nearly 90% of organizations implementing some degree of cloud strategy.

However, for many enterprises, particularly start-ups and Small-Medium Enterprises (SMEs), the infrastructure investment, technological know-how, and specialised skillsets required for the transition to the cloud are potentially prohibitive.

Huawei Cloud addresses this by focusing on building shared excellence and developing the cloud ecosystem, with aims of building a partner network, empowering developers, and providing an application distribution platform for developers and customers in an ecosystem that is accessible to all.

Guided by the principle “to go fast, it is best to go alone; but to go far, we must go together”, Huawei launched its new partner network in June 2022 in its effort to go and grow with partners. This comprises two cooperation frameworks, GoCloud and GrowCloud.

GoCloud aims to broaden partner competencies on Huawei Cloud. Supported by Huawei’s developers and solutions architects, partners can re-engineer their applications and architecture to cloud-native, as well as build new products, solutions, and services on Huawei Cloud. On the other hand, GrowCloud focuses on driving depth, helping existing partners expand their customer base and grow revenue streams, premised on the idea of shared success.

This is complemented by KooVerse, Huawei Cloud’s global distributed cloud infrastructure designed on a unified architecture, provides partners with computation, storage, and networking as a service. The platform offers secure, stable, 50 m/s latency networking capabilities via more than 2,000 carrier networks, making it accessible to partners in over 170 countries in 78 Availability Zones, spanning 29 regions across the world.

The recent opening of a Centre of Excellence in Singapore, the European Cloud Hub in Ireland, and the launch of the Indonesia Region further attest to the rapid growth of Huawei Cloud’s global network while underscoring the emphasis Huawei places on the “In Local, For Local” principle which respects local business culture and supports local industry in every region they operate in.

Experts tout 2023 to be the year when new AI-powered tools and services make their presence felt across industries. Giving businesses a head start in the AI space is the cloud-native database GaussDB, which offers high-performance, high-availability, and secure real-time data lake capability to maximise enterprises’ data value.

Huawei Cloud also focuses on three core AI technologies, namely large pre-trained Pangu models that can be used to accelerate AI development and operationalisation, Opt Verse AI Solver designed to deeply integrate AI with operations research, and knowledge computing that uses AI to extract, express, and compute knowledge. Four DevCloud pipelines, comprising MetaStudio for digital content production, ModelArts for AI development, CodeArts for software development, and DataArts for data governance, offer developers, data scientists, and AI scientists the means to share, collaborate and work efficiently as a team from any location, within the same platform.

Beyond the technological aspect, SMEs and start-ups will need deep partnerships that can enrich their offerings to go further. With Huawei Cloud, they can connect with partners they need to thrive, such as system integrators and hardware providers, from among the developers and service providers within the ecosystem.

In turn, developers can connect with clients through the ecosystem while using the platform’s Technology-as-a-Service resources to streamline development and submit their offerings through the KooGallery, the Huawei Cloud marketplace.

The Right Partner to Build the Right Cloud Foundation

Jacqueline Shi delivering keynote speech at MWC 2023

Huawei

Since its launch, the Huawei Cloud ecosystem has grown in capability and offerings, with more than 4 million developers and 41,000 partners making up a rich and diversified ecosystem, and over 10,000 offerings released in KooGallery.

Huawei Cloud’s ecosystem continues to welcome global partners to share in its vision of a rich, diverse, and prosperous ecosystem that can unleash digital value through leveraging “Everything-as-a-Service.” The ecosystem offers enterprises and organizations, regardless of size and resources, the chance to realise the true potential of digital technology and the cloud. Huawei Cloud’s global infrastructure, innovative edge, and deep expertise make it the ideal partner for those who want to go far.

MWC 2023 will run from February 27 to March 2 in Barcelona, Spain. Huawei Cloud will launch a series of innovative product solutions to support digital transformation and enhance the cloud journey for enterprises.

For more details, please visit https://www.huaweicloud.com/intl/en-us/

Huawei

3M Health Information Systems (3M HIS), one of the world’s largest providers of software solutions for the healthcare industry, exemplifies 3M Co.’s legendary culture of innovation. By combining the power of a cloud-based data ecosystem with artificial intelligence (AI) and machine learning (ML), 3M HIS is transforming physician workflows and laborious “back office” processes to help healthcare organizations streamline clinical documentation and billing, enhance security and compliance, and redesign the physician-patient experience.

The cloud served as the foundation for this transformation. Migrating its 3MTM 360 EncompassTM System clients to Amazon Web Services (AWS) is helping 3M HIS improve the capture, management, and analysis of patient information across the continuum of care. 3M 360 Encompass is a collection of applications that work together to help hospitals streamline processes, receive accurate reimbursement, promote compliance, and make data-informed decisions. The cloud-based version of the platform has helped 3M HIS and its clients address three primary challenges: a disjointed patient care journey; the byzantine processes that often inhibit timely and accurate billing, reimbursement, and other record-keeping; and the ongoing need to protect and properly use patient data.

Improving the patient care journey with data and the cloud

The broader objective of 3M HIS’s evolving cloud transformation strategy is to help caregivers improve patient outcomes and staff efficiencies by removing barriers to care and providing access to contextually relevant insights at the time of care, according to Detlef Koll, Vice President of Product Development with 3M HIS. Caregivers now work with consistent, reliable tools within 3M 360 Encompass that improve communication and reduce the types of errors and delays that cause patient anxiety and revenue cycle inefficiencies.

The journey a patient takes through the healthcare system can span years and touch multiple providers, from primary care to specialists, test labs, medical imaging, and pharmacies. During each step, multiple types of data are captured in the patient’s medical record, which serves as an ongoing “narrative” of the patient’s clinical condition and the care delivered. Physician notes from visits and procedures, test results, and prescriptions are captured and added to the patient’s chart and reviewed by medical coding specialists, who work with tens of thousands of codes used by insurance companies to authorize billing and reimbursement.

A complete, compliant, structured, and timely clinical note created in the electronic health record (EHR) empowers many downstream users and is essential for delivering collaborative care and driving appropriate reimbursement. Supporting physicians with cloud-based, speech-enabled documentation workflows, 3M HIS further creates time to care by delivering proactive, patient-specific, and in-workflow clinical insights as the note is being created.

The goal of this automated computer-assisted physician documentation (CAPD) technology is to reduce the cognitive overload on physicians regarding coding requirements while closing gaps in patient care and clinical documentation. Without CAPD closing that loop in real time, errors or ambiguities in the clinical note lead to what Koll describes as an “asynchronous” process, requiring physicians to review and correct the note on a patient seen days earlier, thus taking the physician’s time away from patient care and causing delays in the revenue cycle.

To address the issue, 3M HIS needed a way to semantically integrate information from multiple data sources based on the needs of various use cases, so it deployed AWS data management tools and services, including Amazon RDS, Amazon Redshift, and Amazon Athena, for what Koll calls “opportunistic aggregation of information.” For example, for billing coding, the platform extracts only the relevant billable elements such as an office visit for which a claim will be submitted. This type of flexible, cloud-based data management allows 3M HIS to aggregate different data sets for different purposes, ensuring both data integrity and faster processing. “This is a dynamic view on data that evolves over time,” said Koll.

Improving workflows through intelligent, automated processes

The process for gathering data about a patient’s care, then extracting the billable elements to submit to an insurance company for reimbursement, has long been handled by professional coders who can accurately tag each medical procedure with the correct code out of tens of thousands of possibilities. Errors in that process can lead to rejected claims and additional time required by caregivers to correct any gaps or inconsistencies in clinical documentation, which in turn delays cash flows across the complex network of physicians, hospitals, labs, pharmacies, suppliers, and insurers. 

3M HIS’s cloud transformation strategy addressed this challenge by giving clients access to a new suite of data management and AI/ML tools that deliver levels of processing power, functionality, and scale unthinkable in the former on-premises model.  

“If you had to build some of the capabilities yourself, you would probably never get there,”
said Michael Dolezal, Vice President of 3M  Digital Science Community.  With AWS tools such as Amazon QuickSight and Amazon SageMaker, 3M HIS’s clients can “get there” today: “Now our clients not only have a cloud-based instance for their data, but they gain access to tools they never had before and get the ability to do things they otherwise wouldn’t,” Dolezal said. By bringing 3M 360 Encompass to the AWS Cloud, 3M HIS has been able to scale natural language processing and automation capabilities and leverage tools such as Amazon Textract to improve data input and processing to more efficiently organize a patient’s chart.

Automatic speech recognition to capture the clinical narrative at the point of care, along with AWS AI/ML services, helps 3M HIS aggregate, structure, and contextualize data to enable the development of task-specific workflow applications. For instance, to mitigate the administrative burden on physicians, real-time dictation and transcription workflows can be enhanced with automated, closed-loop CAPD, whereby a physician dictating an admit note can be “nudged” that a certain condition is not fully specified in the note and can fix the gap in real time.

Taking frontline physician-assistive solutions to the next level, embedded virtual assistant technology can automate everyday tasks like placing orders for medications and tests. Innovating incrementally toward smarter and more automated workstreams, the 3M HIS ambient clinical documentation solution makes documentation in the EHR a byproduct of the natural patient-physician conversation and not a separate, onerous task for the doctor. This frees the physician to focus completely on the patient during the visit, thereby transforming the experience of healthcare for all stakeholders.

“We want to reduce the inefficient steps in the old model by unifying and information-enabling workflows so that documentation of the procedure and the coding of that procedure are no longer separate work steps,” said Koll. “It has the potential to save hours of time per day for a doctor.”  

Enhancing the security of patient data

The security and governance of patient data is non-negotiable in healthcare, an industry subject to the most stringent data privacy regulations. Administrators are obligated to make sure patient data is consistently used only for its intended purpose, is processed only by the application it was collected for, and stored and retained according to the specific national regulations involved. The cloud gives 3M HIS more confidence that the data passing through its platform remains secure throughout its journey.

“Using a cloud-based solution means you can apply the same security practices and protocol monitoring across all of your data in a very consistent way,” said Dolezal. The platform ensures a shared responsibility for security across 3M HIS, its clients, and AWS.  

Securing patient data in an on-premises health information system puts the onus to protect that information on the client’s infosec team, with risks compounded by each client’s unique IT infrastructure and internal data access policies. Security by design is one of the underlying operating principles for AWS. With a single set of code to monitor, maintain, and patch, 3M HIS is able to keep its platform current, quickly respond to new threats, and vigorously protect patient data centrally, with more certainty that its clients are protected as well.

4 best practices for data-driven transformation

Dolezal and Koll advise anyone considering moving large sets of data to the cloud to follow some fundamental precepts in designing a new solution:

Start with the client and work backward to a solution:  Be clear on the problem you want to solve and the outcomes you want to deliver to the caregiver and patient and work backward from there to identify the right technology tools and services to help achieve those goals.Don’t over-engineer the solution: Many IT organizations are moving away from traditional point solutions for collecting, storing, and analyzing patient information. To reduce complexity, enhance security, and improve flexibility, consider an end-to-end solution that is easier to deploy and update than traditional on-premises solutions, and lets organizations add new functionality incrementally.Bake in security from the start: In highly regulated industries, such as healthcare and financial services, security regulations demand high levels of security and personal privacy protection. These capabilities must be built in as foundational components of any system used to collect, manage, and analyze that data.Don’t constrain native data: Create a data management strategy that accommodates all types of data and isn’t confined to a specific set of use cases today. With both structured and unstructured data flowing into the system, the future ability to analyze the past means having data schema that doesn’t need to be re-architected.

In an intense environment with a relentless focus on cost reduction and improved clinical outcomes in conjunction with greater patient and physician well-being, 3M HIS helps clients efficiently capture and access patient data, gain meaningful insights from all the data, and drive high-value action to meet complex goals.

Learn more about ways to put your data to work on the most scalable, trusted, and secure cloud.

Cloud Computing, Healthcare Industry

Did you know that Europe’s largest convenience chain isn’t British or German or French? It’s Polish! Founded in 1998, the chain, Zabka Polska (meaning “Little Frog” in Polish), operates more than 8,300 stores throughout Poland serving nearly 3 million customers every day. That translates to more than a billion customer interactions per year. Clearly, this “Little Frog” is quite popular.

A Little Frog with Big Ideas

Zabka describes itself as the “ultimate modern convenience ecosystem” and has seen incredible growth in recent years – thanks to a combination of ambition, vision, and the right technology to turn that vision into a sustainable reality.

Using modern technologies, Zabka tries to facilitate the purchases of customers and the work of franchisees at every step: automatic cash registers, price labels with an e-ink screen, kinetic floors generating electricity or robots preparing hot dogs. Yes, imagine that – robots slapping mustard on your hot dog!

At the same time, the technology provides an environmentally friendly approach to the functioning of the store: photovoltaic panels, energy storage, dust-absorbing paving stones and many others. The implementation of such a high-tech store can be admired at Lewadów street in Warsaw.

But there’s another tech story unfolding behind the scenes, which has to do with how Zabka functions as a business.

Keeping the “System” in Ecosystem

Zabka’s 8,300 stores are operated by 7,200 franchisees. The franchise model has enabled the company to grow quickly and cover a lot of territory – by one estimate, 15.5 m of the country’s population lives within 500 meters of a Zabka store location. But managing a business with 7,200 business partners presents some challenges, to say the least.

If you think about it, having thousands of franchisees means many different ways of communicating, keeping records, and sharing information. This meant limited insight into operations, limited quality control, and limited ability to ensure a consistent brand experience across locations.

The complex franchisee management ecosystem was fragmented across different technologies with no clear business ownership. This didn’t just create problems for Zabka and existing franchisees – it established a high entry threshold for potential new franchisees, which in turn hampered Zabka’s ambitious expansion goals.

From Complexity to Simplicity

Undaunted, the “Little Frog” decided to upgrade itsfranchisee relationship management processes by implementinga standardized suite of applications on a unified platform. The centerpiece of this new solution is SAP Integration Suite, which serves as the integration platform for a diverse set of cross-system business functions.

The new franchisee management infrastructure has allowed Zabka to evolve from complexity to simplicity, clearing the way for them to focus on essentials like recruitment, property management, and rapid response to the needs of individual franchisees.

Now, all of Zabka’s franchisee data, processes and communication are handled in a single portal and mobile app. A single candidate portal provides full 360º insight into the recruitment process. The new platform features a franchisee support desk.

Leapfrogging the Competition

Bottom line: this new system is capable of orchestrating huge volumes of data at large scale in a highly decentralized hybrid retail ecosystem – empowering Zabka to turn its ambitious vision into a reality.

Jakub Masłowski, Technology Director, observes, “Żabka as a company is based on innovative methods of operation, our stores are modern and connected by a vast IT net. The upgrade to the latest SAP version available in the market will enable us to use new functionalities, which were impossible to use before.”

And by the way, for all of these amazing achievements, Zabka Polska was named a finalist in this year’s SAP Innovation Awards. You can read about what this “Little Frog” did to earn this coveted position in their award’s pitch deck.

Digital Transformation

Whether the goal is elevating customer experiences, promoting operational efficiencies, or delivering new products and services, no one partner or platform can cover all the bases and serve as the central clearinghouse for fueling data insights that drive business success.

To fully capitalize on data-first modernization, organizations need secure access to data spread across the IT landscape. Data is in constant flux, due to exponential growth, varied formats and structure, and the velocity at which it is being generated. Data is also highly distributed across centralized on-premises data warehouses, cloud-based data lakes, and long-standing mission-critical business systems such as for enterprise resource planning (ERP). The breadth and depth of the enterprise data estate only increase management complexity and make it difficult to leverage the data estate’s true value.

Organizations must have seamless visibility and secure access to data wherever it might reside, whether on-premises or in the cloud. Given the current regulatory climate, some data must remain on-premises or be tied to specific systems. This puts the burden on companies to execute an approach that balances the need for frictionless visibility and secure access without infringing on compliance requirements.

That’s where an open platform with a large independent software vendor (ISV) ecosystem holds promise in the world of hybrid, multicloud IT. Access to a rich ISV ecosystem of applications and services can help enterprises unify and extract value from data wherever it resides and throughout its entire life cycle, whether that means delivering secure backup-and-recovery capabilities or serving up analytics capabilities aimed at improving both day-to-day and strategic decision-making. A platform that cultivates an open and active ISV ecosystem gives customers greater choice and flexibility in selecting the tools and services that cater to their specific requirements, making it possible to meet their intended business goals. By creating a collaborative environment, the customer also gains a simpler experience which speeds time to value.

“If you have your data in different tools, based on a private cloud or public cloud, you’re going to run into barriers,” notes Pat Reardon, director, HPE GreenLake ISV ecosystem. “Managing those environments separately is inefficient and creates data silos that make it hard to advance a singular data strategy. One of the benefits of a robust ISV ecosystem is that it’s scalable across hybrid and multicloud and delivers a seamless experience for customers.”

An ISV ecosystem at work

Most foundational IT platforms tout access to an ISV ecosystem, but they are not all the same. Platforms that deliver access to an array of core applications and services that have been vetted and certified to run optimally in that particular environment can eliminate a lot of the guesswork and heavy lifting for IT, making deployment far more seamless.

“Validating a solution eliminates the burden on customers to piecemeal their own approach,” Reardon explains. “They can always be customized, but certifying that these [ISV] solutions are enterprise-grade for what they are trying to accomplish and then standing behind it — that is key.”

Other things to consider when evaluating a platform and related ISV ecosystem:

Simplified customer experience. With core workloads and critical data distributed across a hybrid environment — some in cloud systems, in colocation facilities, and/or on-premises — it’s important to mask complexities to give users a seamless and holistic experience. The HPE GreenLake edge-to-cloud platform delivers the convenience and pay-as-you-go flexibility of the public cloud with the privacy, performance, and control of your own environment — which can span data centers, cloud, and edge for its entire ISV ecosystem. This ensures a cohesive and consistent cloud experience for users, no matter where data resides, while decreasing the time-to-insights required for a data-first advantage.

Access to common workflows. An expansive ISV ecosystem isn’t useful for a data-first business if the supported applications and services don’t address data management and analytics processes, among other critical workflows. HPE GreenLake opens the door to a rich ISV ecosystem that spans data protection, database, storage, mainstream business applications, and core enterprise platforms such as SAP ERP.

For example, on the data protection and disaster recovery front, the HPE GreenLake Marketplace encompasses leading solutions from Veeam, Qumulo, and Commvault, and in the database and analytics category, certified ISV partners include Nutanix, Splunk, and EDB Postgres, among others. There are also capabilities to seamlessly maximize and manage data in SAP ERP. Although the HPE GreenLake Marketplace currently serves up an ISV partner catalog, the plan is to deliver click-to-deploy functionality for all certified ISV solutions, enabling scalability and ease of consumption by directly delivering software without physical deployment of a new stack. “Whether it’s backup or AI, HPE GreenLake addresses common workloads as part of the ecosystem,” Reardon explains. “This helps customers considering the as-a-service model have the confidence that commonly needed workloads will run in a hybrid environment.”

Hardened SLAs and one venue for support. Beyond accessibility, ease of support and simplified service-level agreements (SLAs) are optimal when you’re considering an extensible platform as part of a data-first business strategy. HPE GreenLake enables you to easily deploy resources; view your costs; and forecast capacity, which extends to its certified ISV ecosystem. This ensures that costs are based on the actual usage of the selected services and are delivered to meet specified service-level targets and other relevant metrics. The HPE GreenLake IT ecosystem model also ensures that support services are integrated — another important salvo in reducing silos along with IT complexity. “Not all data can be in the public cloud, but customers want the experience of public cloud, just on their own terms,” Reardon says. “That’s where we come in. We can deliver an alternative means to accomplish the same thing when public cloud isn’t the best answer.”

In the end, the combination of a robust edge-to-cloud platform designed for your top workloads and an integrated ISV ecosystem translates into simplicity and accelerated deployment for customers. The result is that companies are free to tend to the needs of data-first business, not the complexities and challenges of IT.

For more information, visit https://www.hpe.com/us/en/greenlake/services.html.

Data Management