Cloud Infrastructure Archives

Beyond the Hype: Approaching Gen AI in BFSI Enterprises with the Generative AI-EXCEL Framework | Blog

March 19, 2024

To successfully adopt Gen AI in BFSI, enterprises need to consider four fundamental aspects that can lead to responsible and effective deployment. Carefully evaluating each framework component is essential to ensure a positive Gen AI journey. Read on to learn about the Generative AI-EXCEL Framework and the importance of each element, or get in touch.

As there is urgency to embrace Generative Artificial Intelligence (Gen AI) across all industries – the BFSI industry is no exception given its prevalence. However, a thoughtful approach is required to fully reap the benefits of Gen AI.

Before immersing themselves in various use cases and integrating Gen AI into their operating structure, BFSI enterprises should strategically examine four fundamental components along the Gen AI value chain:

Generative AI-EXCEL framework

Enable AI
Execute AI
Champion AI Operations
Lead AI Change Management and Governance

These elements can guide enterprises toward harnessing the full potential of Gen AI in BFSI while ensuring responsible and effective deployment.

Enable AI

Embarking on AI initiatives demands the expertise of AI experts to define a clear vision and strategy. Seeking guidance from Gen AI experts is essential in laying a solid foundation for successful implementation. Assessing organizational readiness through an AI maturity and readiness assessment is recommended as this can provide insights into preparedness levels and potential challenges.

Developing a Gen AI roadmap and conducting a Return on Investment (ROI) analysis further ensures a well-structured approach, allowing organizations to navigate the complexities of integrating Gen AI effectively in their operations. A thoughtful approach is essential for consulting and enabling generative AI across the value chain before delving into specific use cases, relying on AI technology partners, and tool selection advisory services to ensure that organizations secure the right resources for success.

Adequate resources are crucial to ensure scalability, allowing Gen AI systems to manage increasing workloads efficiently. There is a lot of demand for talent, skills, and domain expertise, especially in Gen AI that needs to be plugged.

Moreover, hardware and infrastructure compatibility and version compatibility among different Gen AI models and frameworks are essential for seamless operations. Massive datasets play a pivotal role in training large-scale AI models, demanding significant computational power from specialized hardware such as graphics processing units (GPUs) and tensor processing units (TPUs). Balancing these elements is vital to harness the potential of Generative AI effectively.

Execute AI

When developing AI systems, some essential steps include preparing the data, refining features, utilizing and fine-tuning pre-built models, integrating AI with existing systems, creating custom models as needed, and conducting thorough testing to ensure reliability.

The increasing complexity of Gen AI models has led to the emergence of Machine Learning Operations (MLOps) and Large Language Model Operations (LLMOps) as services. These can play a pivotal role in easing the efficient deployment, orchestration, and monitoring of AI models.

Given the possibility of potential biases introduced by Gen AI, it becomes imperative for BFSI enterprises to ensure fairness. Vigilant model monitoring and drift analysis are some ways to achieve this. In addition, optimized performance can be achieved by incorporating accelerators.

Champion AI Operations

A robust change management strategy is essential for navigating a smooth transition. Leadership communication about AI’s benefits can set a positive tone for adoption. Equipping workforce with the necessary skills through comprehensive training and upskilling is essential. Developing a streamlined process for Gen AI adoption can enhance its acceptance rate. Recognizing and reinforcing Gen AI’s contributions can motivate the workforce, ensuring effective and sustainable AI integration.

Lead AI Change Management and Governance

Strong data governance can help address some of the concerns related to source attribution and confidence levels in data and foster trust in Gen AI outcomes.

Gen AI can generate content that is low in authenticity. Model explainability can help make AI decisions more understandable and traceable, boosting user confidence. Furthermore, enforcing compliance, validation, and auditing mechanisms can reinforce AI solutions’ reliability and ethical deployment.

The Gen AI model can potentially produce biased or dangerous results. Other AI models can be used to test results for risky outputs. Enterprises can also use data loss prevention and other security tools to prevent users from inputting sensitive data into prompts in the first place. Maintaining control over data is essential, and multiple levels of security are required.

In an industry where data security and privacy are paramount, governance becomes a linchpin for safeguarding sensitive information. Beyond regulatory compliance, governance can address critical aspects such as risk management, fairness, transparency, and accountability. With ongoing regulatory uncertainty and evolving laws, it is critically important to exercise caution about data breaches, privacy violations, or biased or discriminatory decisions that can create regulatory liabilities.

By following this Generative AI-EXCEL framework, BFSI enterprises can ensure they have addressed all essential aspects of enabling Gen AI. From identifying the right infrastructure and resources to developing and testing models and ensuring proper change management and governance, thoroughly evaluating each component guarantees a smooth AI transition. This approach will allow BFSI enterprises to harness Gen AI’s power fully.

To discuss Gen AI in BFSI, please reach out to [email protected], [email protected], and [email protected]. Learn more about how we can help your enterprise to leverage Gen AI, or read our report on revolutionizing BFSI workflows with Gen AI.

Broadcom’s Acquisition of VMware Sparks Unprecedented Chaos in the Virtualization World | Blog

February 8, 2024

Broadcom’s staggering US$61 billion acquisition of VMware in January marked one of the largest technology deals ever. Broadcom’s reputation for radical cost-cutting and focus on short-term shareholder value following acquisitions has raised concerns about VMware’s future direction. Read on for recommendations for enterprises, service providers, and competitors to deal with the aftermath of the acquisition of VMware.

Connect with us to discuss this acquisition further.

Broadcom’s acquisition of VMware has ignited worries that Broadcom’s aggressive cost-slashing and financial optimization measures will harm VMware’s reputation as a trusted partner and hinder its ability to innovate.

Let’s look at Broadcom’s troubling past track record of taking over companies and then selling off non-core assets:

Broadcom acquires CA Technologies: After Broadcom bought CA Technologies for US$18.9 billion in 2018, it sold the software company’s Veracode platform the following year for US $950 million and intermittently laid off CA Technologies employees. Moreover, CA Technologies’ mainframe business customers regularly expressed dissatisfaction post-acquisition, citing a lack of client focus, with many looking for a way out. Everest Group followed the acquisition of CA Technologies in detail in our blog, Broadcom, CA Technologies, and the Infrastructure Stack Collapse
Broadcom buys Symantec’s enterprise software business: Following its purchase of Symantec’s enterprise software business for US$10.7 billion in 2019, Broadcom sold Symantec’s cybersecurity services business to Accenture and the enterprise consulting group to HCL Technologies in 2020

Broadcom might be treading a similar path with VMware. As its acquisition history suggests, Broadcom’s actions will likely be drastic and swift. Within only a month, Broadcom has already created worrying disruptions, posing serious concerns for VMware clients and partners as outlined below:

A brief history of VMware and Broadcom

Founded in 1998, VMware pioneered virtualization technology, allowing multiple virtual machines to run on a single server, eventually creating the multi-billion cloud market. Over the years, VMware grew its product offerings, such as vSphere, ESXi, and Workstation, to become a dominant cloud and infrastructure player. VMware created multiple software solutions for data center management, networking, security, and the digital workplace. The company has maintained a reputation for innovation, working closely with its service partners and creating a positive client experience.

Established in 1991, Broadcom initially specialized in developing semiconductors, focusing on communication and networking chips. The company expanded over the years into many other areas, including security, infrastructure storage and management, and industrial solutions. In recent years, Broadcom consolidated its portfolio and now reports revenue in two areas – semiconductor solutions and infrastructure software. Broadcom is known for its aggressive acquisition strategy and focus on financial returns, often raising concerns about its commitment to product innovation and long-term support.

VMware and Broadcom merger leaves enterprise CIOs flummoxed

Since its launch over a decade ago, VMware has held massive dominance in cloud computing, with nearly all enterprises licensing its virtualization technology. Its slowdown started when the giant hyperscalers, such as Amazon Web Services, Microsoft Azure, and Google Cloud Platform, developed public cloud offerings with multiple advantages beyond VMware’s in private cloud settings.

However, most enterprises eventually realized that both public and private clouds had their advantages and drawbacks and settled for a hybrid environment to leverage the strengths of each cloud type.

Enterprise recommendations

CIOs who had settled on hybrid cloud strategies have been left with pressing questions by Broadcom’s acquisition of VMware. They must decide whether to stay with VMware, immediately look for alternatives, or wait and watch what peers do. This also allows organizations to reevaluate service providers’ innovative problem-solving abilities or rebalance hybrid cloud portfolios.

While the answers to these critical questions will depend on their specific situations, all enterprises should take the following steps:

- Reexamine the hybrid cloud portfolio mix – Most enterprises today have an ineffective blend of workloads on public and private clouds, leading to low-value realization. Enterprises should first reevaluate workloads and create a strategic migration and modernization plan
- Assess the Virtual Desktop Infrastructure (VDI) need – VMware and Citrix have been the leading VDI vendors despite the technology’s performance challenges. Fortunately, managing the VMware disruption in the VDI space should be relatively straightforward given the low penetration of VDIs among employees and a flurry of VDI-as-a-service offerings from BigTechs such as Azure Virtual Desktop, AWS WorkSpaces, Citrix DaaS, and specialist players like Anunta, Dizzion, and Parallels
- Evaluate the implications of staying with or leaving VMware – While each organization should undertake a thorough cost-benefit-impact analysis, they should consider the following factors:
  - Expect an increase in total cost of ownership (TOC): Broadcom’s move from perpetual licenses to membership-based pricing will likely result in higher TOC
  - Consider the impact on customers engaged with Dell: Organizations engaged with Dell as the VMware reseller will see an even higher price impact since Broadcom eliminated Dell’s preferred pricing with VMware
  - Recognize the cost of change: Most enterprises have been using VMware software for a long time. Shifting away will require a significant transformation with upfront investment, talent management, and business continuity planning
- Engage actively with service provider partners – Most enterprises have adopted VMware solutions through third-party service providers. Clients should accept their help to understand the alternatives, advantages, limitations, and integration risks and engage them to create innovative options.

Service provider recommendations

Service providers play a critical role as the conduit between technology providers and enterprises in helping provide guidance and the next steps to navigate this uncertainty.

While service provider partners are also grappling with sudden, unexpected terminations of partner agreements with VMware, they must act quickly to determine the best step for their enterprise customers. Delaying and watching is not an option, and we recommend the following actions:

- Understand and evaluate all alternatives – A thorough understanding of all available alternatives to VMware is the first step to retaining credibility with enterprises. Nutanix, Microsoft, Citrix, Scale Computing, and ComputerVault are options for virtualization, while Microsoft Azure virtual desktop, Amazon workspaces, and Citrix workspace are contenders for VDI. Not to be forgotten, hyperscalers, including AWS, Azure, GCP, Oracle, and IBM, also offer virtual private cloud and full-stack solutions
- Refine and accelerate hybrid cloud go-to-market – Every cloud has a silver lining, and the VMware uncertainty has created an opportunity to add new energy to a stabilized cloud go-to-market and messaging. Many enterprises claim a lack of service provider cloud innovation over the last two or three years, and this is an opportunity to start new conversations and deepen relationships
- Push Desktop-as-a-Service (DaaS) offerings – DaaS or VDI-as-a-service offerings have been available from vendors, including hyperscalers, BigTechs, service providers, and specialists, but haven’t taken off. Despite the many DaaS benefits, enterprises have shown interest spikes but lacked an external stimulus to kickstart large-scale transition. The VMware frenzy could be a catalyst for the transition to DaaS
- Collaborate with Broadcom without biases – The sudden and shocking actions by Broadcom have led to many preconceived negative perceptions. However, service providers should be open to what Broadcom will offer as it aims to set a level playing field for VMware’s partners. Keeping an open mind will allow providers to leap ahead of their peers on VMware partner status. VMware’s huge client base cannot be ignored despite the current upheaval

Competitor recommendations

Since VMware has shown its belly to competition, it’s now a mad rush. VMware’s competitors have a rare opportunity to grab its clients, potentially giving them considerable future revenue. Competitors understand this and have launched a scathing attack on VMware through email and social media campaigns, as well as direct outreach. While the desire to capture a larger market share is understandable, competitors should take a more balanced and pointed approach for higher conversion rates. We recommend the following strategies:

- Create a structured attacker strategy – Going after as many clients as possible might sound attractive but is most likely inefficient. Identify a long list of accounts to target, prioritize them based on relevance, and create dedicated teams with established Objectives and Key Results (OKRs) and Key Performance Indicators (KPIs)
- Build deeper account intelligence to win more clients – Winning new clients requires a more nuanced approach beyond the marketing tactics to connect with distressed clients initially. Understanding the specific context of each potential client, including pain points, decision-making stakeholders, existing software, integration challenges, etc., can significantly increase deal conversion rates
- Maximize channel partner leverage – Develop joint attacker strategies in collaboration with service providers who often understand clients’ needs better. Aggressively expand partnerships with service providers

We will continue to follow this space and watch how Broadcom’s acquisition of VMware unfolds. If you would like to discuss this further, reach out to [email protected] or [email protected].

Catch our upcoming webinar, Engineering Services in 2024: The Market Outlook and Commercial Trends, for insights into the pricing outlook, commercial dynamics, market attractiveness, and evolving buyer expectations for engineering services.

Striking the Right Balance: The Dynamics of Cloud Discounts in Enterprise Software Agreements | Blog

December 12, 2023

To prevent the pitfall of aggressively pursuing discounts on cloud platforms without other considerations, enterprises should implement a holistic procurement and negotiation strategy that takes into account four key factors. In this blog, we share our analysis of a Salesforce contract for a major customer. Continue reading to uncover tactics for negotiating enterprise software agreements.

The webinar, Adapting to Change: Boost Value in Outsourcing and Software Contracts When Uncertainty Persists, also explores how enterprises can drive more savings from their outsourcing contracts.

In the intricate landscape of negotiating enterprise software agreements, securing the best possible discounts often requires a delicate balancing act. We recently witnessed the interplay of aggressive discounting and product portfolio when helping a multi-billion-dollar brand optimize its contract with Salesforce. The process of obtaining discounts on different Salesforce Cloud platforms (Core Cloud, Marketing Cloud, and Commerce Cloud) proved to be both intriguing and complex. It led us to consider: Does achieving best-in-class discounts on one cloud come at the expense of suboptimal discounts on others?

Assessing the large Salesforce customer’s existing contract with Salesforce presented a fascinating dichotomy. Price benchmarking of their contract for two Salesforce cloud platforms revealed their current prices were very competitive, and the discounts on most of the products were in the highest tier Salesforce offers. It seemed like a sweet victory for the client, securing substantial savings that underscore the power of negotiation and the value Salesforce attributes to retaining a significant customer.

However, as we progressed with our analysis, the third Salesforce cloud platform revealed a huge gap in their existing prices and the prices offered to organizations of a similar size and total spend with Salesforce. Through our rigorous normalization and benchmarking process, we identified a savings potential of up to 35% on their current annual spend on the platform.

Our analysis presented a very interesting and intriguing scenario. The best-in-class discounts Salesforce offered to the client for two cloud platforms indicated that their spend with Salesforce was optimized. But closer inspection indicated they might not be getting the best deal from Salesforce after all.

Is this a tactic used by large SaaS companies to ensure that the overall revenue from an account remains intact? While this is an important question that enterprises must strive to answer, the scenario also prompts a critical reflection on the intricate dance of negotiation within enterprise software agreements. Does the pursuit of extraordinary discounts in one arena inadvertently lead to less favorable terms in others? The answer, it seems, lies in the complex interplay of perceived value, strategic importance, and Salesforce’s bottom line.

Salesforce, like many enterprise software providers, employs a nuanced strategy where discounts are tailored based on the perceived value of each cloud service. In this approach, a particular cloud platform becomes the focal point for driving loyalty and retaining major clients, justifying the high discount percentages. Meanwhile, other cloud platforms, though integral, might be subject to a different calculus.

Adopting a holistic approach

To avoid the pitfalls of a purely discount-centric approach, organizations should adopt a holistic procurement and negotiation strategy that considers the following factors:

Overall spend: Evaluate the total spend across all Salesforce cloud platforms and benchmark it against similar deal sizes to identify areas for potential optimization. A larger deal size might result in better negotiation power for the enterprise customer
Business needs and priorities: Prioritize cloud services and usage patterns that align with the organization’s strategic goals and operational requirements
Negotiation expertise: Leverage benchmarks provided by a specialist firm to elevate negotiation strategy and secure favorable terms across all Salesforce order forms and contracts
Strategic timing: Acknowledge that certain months, especially year- or quarter-end, may present higher chances of securing extra discounts as sales teams aim to meet targets. Additionally, negotiating yearly or upfront payments can potentially result in additional discounts

The above case on enterprise software negotiations often echoes a cautionary sentiment – the importance of a holistic approach. Striking a balance between the immediate gains in one segment and the long-term relationship across the entire suite of services is paramount. It prompts organizations to assess not just the magnitude of discounts but the overall value proposition, ensuring each SaaS cloud or module’s role and strategic importance are properly valued.

Achieving best-in-class discounts in one domain may indeed come with trade-offs in others, emphasizing the need for a comprehensive understanding of the software landscape and strategic collaboration between enterprises and their software providers. The dance of discounts is delicate, requiring astute negotiation skills and a keen awareness of the broader software ecosystem.

To discuss software contract negotiation and for a detailed analysis of your software contracts, please reach out to [email protected]. Explore more about Everest Group’s contract benchmarking offerings.

A Delicate Balancing Act: Maximizing Cloud Value from AWS | Blog

November 23, 2023

With cloud spending under scrutiny, generating the most value from AWS investments while still delivering the innovation enterprises demand is crucial. To achieve their goals through AWS, enterprises need to consider strategic alignment, cost optimization, technical implementation, organizational readiness, and continuous improvement. Learn the key questions stakeholders should ask when evaluating their AWS cloud strategy in this blog.

As AWS re:Invent 2023 rapidly nears, cautious optimism has replaced the blissful ignorance that once characterized enterprise cloud spending. Enterprises, for justifiable reasons, are scrutinizing every dollar allocated to the cloud, and cost optimization is leading conversations across the board.

This muted atmosphere has slowed AWS’ revenue growth in recent quarters, reflecting the broader enterprise cloud adoption slowdown. In the third quarter of 2023, AWS reported US$23.1 billion in revenue, up 12% year-on-year, but the growth rate was below the company’s typical historical increases in the mid-20 to low-30% range.

Despite these cloud spending challenges, Everest Group research shows that enterprises still understand the need to innovate and expand their operations through cloud-driven digital transformation. Amidst prevailing economic and geopolitical uncertainties, enterprises are seeking to innovate and grow by carefully evaluating their cloud strategy.

The duality of cautious spending sentiment and continuously evolving customer expectations facing digital businesses has brought AWS to a crucial juncture. As Amazon’s Chief Financial Officer Brian Olsavsky pointed out during the third quarter 2023 earnings call, this has put the division in “a delicate situation.” Let’s explore how AWS is managing this.

AWS helps enterprises differentiate through innovation and partnership

AWS continues to be the leading cloud service provider, with a strong record of innovation, a large and loyal customer base, and a vast and active developer community.

In our research, enterprises have highlighted these key AWS differentiations:

Continued investments in strengthening IaaS offerings: Since its inception, enterprises have chosen AWS IaaS offerings for their comprehensiveness and reliability across foundational infrastructure components such as compute, network, and storage. Its secure, scalable, and global infrastructure services, along with its comprehensive capacity management tools, have made it a strong enterprise choice. Additionally, AWS’ continued innovations in building next-gen silicon chips help it support enterprises with critical Artificial Intelligence/Machine Learning (AI/ML) and high-performance computing (HPC) workloads
End-to-end data on cloud capabilities: With the renewed focus on data to drive AI’s future, enterprises are looking for data integration, governance, and analytics capabilities to address data privacy challenges, improve customer experience, and drive business growth. With offerings such as Amazon Aurora, DynamoDB, and RedShift, AWS dominates enterprise adoption trends for cloud-native data platforms and data analytics. Further, AWS has also become relevant for enterprises seeking to accurately address data regulation and compliance demands
Comprehensive partner ecosystem and AWS Marketplace popularity: The AWS partner ecosystem is a comprehensive and ever-evolving network of system integrators (SIs) and technology vendors. As a result of its strong partnerships with technology vendors and tiered classification of SIs, enterprises find AWS beneficial for identifying and enabling successful integrations across different platforms and tools through a tripartite engagement model. AWS also provides an alternate way to engage with multiple system integrators and independent software vendors (ISV) through its extremely popular AWS Marketplace to enable cost savings and procurement efficiencies, reduce licensing costs, and fulfill enterprise AWS commit

Enterprises need AWS to solve for transparency and empower cloud value

AWS’ revenue growth decline can be attributed to several factors, including the economic slowdown, cloud computing market maturation, and increased cloud provider competition.

Enterprises have highlighted the following challenges in their AWS engagements:

Commitment to consumption gap: Enterprises continue to get caught in the vicious cycle of overcommitment and underutilization. This has led to a significant waste of money and has made it difficult for enterprises to control cloud costs
Complex contracts and commercials: Enterprises have often struggled with inflexible AWS cost structures with complex caveats that lead to potential budget overruns
Cost management and visibility concerns: AWS’ current cost optimization offerings do not completely offer a solution for inefficient resource allocation and underutilization. This creates strong concerns about return on investments (RoI) among enterprises
Standalone professional services: AWS ProServe teams lack cohesiveness with SI teams during collaborative engagements, preventing enterprises from realizing the maximum potential value. This disconnect has led to inefficiencies, delays, and communication breakdowns, ultimately hindering project objectives

In addition to the above challenges, enterprises have underscored common cloud service provider challenges around integrating with legacy systems, talent shortage, vendor lock-in, and offerings complexity.

Deriving the desired value from AWS requires careful enterprise planning

Enterprises must adopt a right-fit approach for cloud engagements and workloads present on AWS. Choosing a strategic cloud service provider by mapping key business and technical requirements with the strengths of various providers is highly likely to prevail as the next differentiating factor for mature enterprises in the future.

To develop a clear understanding of how AWS can help them achieve their goals, enterprises need to consider strategic alignment, cost optimization, technical implementation, organizational readiness, and continuous improvement.

For instance, enterprise stakeholders considering how AWS can help achieve the desired value from generative AI (Gen AI) should ask:

Strategic alignment:

How do AWS’ Gen AI capabilities align with the overall IT strategy and business goals?
How can AWS’ Gen AI services help achieve desired outcomes such as increased automation, improved decision-making, or enhanced customer experiences?

Cost optimization:

How can the cost of Gen AI workloads on AWS be effectively managed?
What are the different pricing models for AWS services related to AI and Gen AI, such as Amazon Bedrock, Amazon SageMaker, Amazon Rekognition, and Amazon Comprehend?

Technical implementation:

What is the optimal approach to deploy and manage Gen AI models on AWS?
How can the security and compliance of Gen AI applications be ensured on AWS?
How can AI and Gen AI applications be integrated with other AWS services such as Amazon S3, Amazon DynamoDB, and Amazon CloudWatch?

Organizational readiness:

What skills and training are required to develop, deploy, and manage Gen AI applications on AWS?
How can clear governance policies and guidelines for Gen AI usage on AWS be established?

Continuous improvement:

What is the best method to continuously monitor, evaluate, and refine the performance of AWS Gen AI workloads?
How can the ROI in AWS’ Gen AI solutions be maximized?

By addressing these specific questions, enterprises can comprehensively understand how AWS can empower them to achieve their strategic objectives, optimize their cloud investments, and derive the most value from AWS.

To discuss maximizing the value from AWS and cloud spending, contact [email protected] and [email protected].

Learn more about the AWS services market, including trends, demand drivers, and key considerations for enterprises.

Googling Growth: How the Google Cloud Specialization Strategy Enables Enterprises to Innovate and Differentiate | Blog

May 31, 2023

Google Cloud continues to differentiate itself from other cloud providers by emphasizing specialized services, tools, and a partner-oriented strategy that enables businesses to achieve better flexibility, scalability, and security. Learn how the Google Cloud specialization strategy can help enterprises large to small generate greater value from cloud implementation.

To learn more about this topic, reach out to us directly with questions and for more information.

How have enterprise cloud adoption trends evolved post-pandemic?

The pandemic years profoundly impacted enterprises worldwide, and hyperscalers are no exception. A shift began when cloud gained popularity as a go-to tool to transform the enterprise landscape. As more enterprises moved online, the demand for cloud services skyrocketed, and cloud adoption topped enterprises’ digital transformation agendas.

Fast forward to the present day, when enterprises are still exploring cloud services but with a different agenda. The enterprise cloud adoption strategy has transitioned from “leap and observe” to “assess and stride.” Thus, cloud technology has transitioned from being a support tool to an enabler for enterprises’ long-term business growth, with new trends emerging to meet the changing needs of businesses and consumers alike.

How does Google Cloud meet the current enterprise preferences?

Google Cloud has evolved its value proposition to respond to market disruption by catering to use cases that provide such benefits as improved customer experience, better cost optimization options, increased security, the industry cloud, and many others.

It is slowly developing niche expertise to position itself as a strong competitor in the cloud provider ecosystem. With multi-cloud and hybrid-cloud adoption rapidly accelerating among enterprises, Google Cloud is emerging as a preferred secondary cloud option because of its flexibility and compatibility with existing enterprise infrastructure, simplicity of data analytics and Artificial Intelligence (AI)/Machine Learning (ML) products, robust security features, and cost-effectiveness.

With a targeted focus, its expertise echoes customers’ key adoption preferences, such as:

Gaining innovative insights from data streams: Data is the “key” that opens pathways that can help any enterprise build a competitive advantage through innovation. However, the typical characteristics of data, such as volume, veracity, and variety, have always posed challenges for enterprises in effectively analyzing and utilizing the data. This becomes even more concerning for firms operating in a multi- and hybrid-cloud environment. Google Cloud’s targeted focus on “an open, unified, and intelligent data ecosystem” can provide improved insights while managing each data lifecycle stage.

Enterprises seeking to harness their existing data’s full potential for business growth and innovation are taking advantage of Google Cloud’s AI-enabled data offerings. From natural language processing and computer vision to predictive analytics and personalized recommendations, enterprises are opting for Google Cloud’s AI/ML solutions to drive innovation, unlock new insights, and, thereby, improve business outcomes. Enterprises are widely adopting BigQuery for scalable data analysis. Moreover, Google Cloud’s investments in expanding data center coverage and rising computing and storage capabilities are aligned with meeting rising enterprise demand for seamless data-driven innovation

Embracing open-source cloud for flexibility and control: A few years into their cloud journey, enterprises are experiencing visible cloud challenges, including inefficient scalability, limited agility, and rising cost pressures. To create a flexible, interoperable, and reliable cloud infrastructure, they are gradually transitioning to an open-source ecosystem. Enterprises are using Google Cloud’s latest products and services to create an open-source portable application architecture, which can provide ease and flexibility for developers to remain in a lock-in-free environment.

As enterprises strive to maintain ownership and control over their data and applications, Google Cloud’s open-cloud approach provides them with the necessary transparency and control to address security and compliance concerns. With its key contribution to various open-source projects such as Kubernetes, Istio, and TensorFlow, Google Cloud has fortified its position as a cost-friendly cloud that offers enterprises the ability to maintain ownership and control over their data and applications

Creating secure cloud infrastructure: Security has become a top priority for enterprises as they deal with massive amounts of data and essential workloads on cloud platforms. They are more concerned than ever about keeping complete control over their IT infrastructure and guaranteeing the security of their cloud-based infrastructure, owing to the soaring need for resilience and reliability post-pandemic. Traditionally, Google’s security focus spanned its product suite, including encryption of data at rest and in transit, and AI-enabled threat detection. Its recent acquisitions, Mandiant and Chronicle, are steps towards creating an end-to-end secure cloud security suite focused on preventing threats and providing reliable and secure cloud services. Enterprises are choosing Google Cloud for secure cloud infrastructure due to its security features, private global network, and comprehensive compliance framework and certifications

How can enterprises continue to grow with Google Cloud?

Enterprises are increasingly appreciating Google Cloud’s specialized offerings, and their adoption journey remains centered around selected technology workloads. Twitter, Mayo Clinic, and Ford are some prominent examples of enterprises following this approach. Let’s take a further look at the Google Cloud specialization strategy.

Recognizing the paramount adoption shift, Google Cloud quickly organized its core specializations and processes into the following three strategic differentiators that enterprises could leverage for business growth:

Industry-centric ecosystem as a differentiator: During cloud transformation engagements, enterprises face multiple vertical-specific constraints, including data sovereignty, regulations, and governance of mission-critical applications. These constraints have become significant concerns, requiring effort-intensive operations to effectively mitigate the associated challenges. Providers and vendors have recognized the importance of industry-centricity, and Google Cloud has been no different. However, its focus on industries is aligned with its data and next-generation expertise, with a higher preference flowing in from verticals where this expertise can transform the entire value chain. Prominent examples are retail, distribution, and consumer packaged goods (CPG) verticals, where Google Cloud’s AI/ML products and models can be used to reinvent the entire supply chain. Enterprises in the healthcare domain can leverage solutions such as Healthcare Data Engine and AlphaFold for health analytics and drug discovery, respectively. Google Cloud’s industry-specificity can help enterprises improve the customer experience by accelerating time to market, introducing customized innovative solutions, and optimizing enterprise operations
Unified cloud ecosystem as a differentiator: Google Cloud’s approach of “open cloud, data cloud, and trusted cloud” is suited to provide enterprises with a well-defined unified ecosystem that can help them navigate the cloud, maintain required operational efficiencies, and enable business growth from Moreover, enterprises can benefit from this unified ecosystem by accessing the services and products that can help create a cost-efficient, agile, and resilient cloud transformation approach
Partner ecosystem as a differentiator: Inefficient strategy roadmaps have emerged as one of the top reasons cloud adoption fails within enterprises. While Google Cloud has strategically engineered its products and services, it relies on channel partners to deliver them. These partners approach each cloud engagement with the objectives of enablement and growth. Enterprises can align with partners through a Google Cloud conduit that acts as a matchmaker. These partners bring the required talent, tools, and experience to act as an extension of the team while being long-term strategic enablers during enterprises’ cloud journey. Moreover, Google Cloud’s technology vendor landscape has evolved to create a collaborative ecosystem for enterprises, which can allow them to innovate their product offerings

How can enterprises best adopt Google Cloud?

Overall, adopting Google Cloud requires careful planning, coordination, and management. Enterprises can ensure their cloud adoption is executed smoothly and efficiently by asking the following questions:

Contracting:
1. What measures can we take to establish accountability for meeting defined service commitments and objectives and key results? Have we considered contract termination scenarios?
2. How easy are the contract update, renewal, and termination processes?
3. How much flexibility do we have during contract change, renewal, and termination? Are we aware of the pricing and inclusion of products in enterprise discount plans such as Sustained Use Discounts (SUDs) and Committed Use Discounts (CUDs)?
Solutioning:
1. How can we ensure our cloud adoption strategy roadmap aligns with organizational goals and objectives?
2. Are we leveraging industry-centric products and services available in Google Cloud’s open ecosystem to enhance flexibility within the enterprise?
3. How can we effectively collaborate with Google Cloud and third-party vendors to accelerate and optimize solution delivery?
Talent management:
1. How ready is our talent pool to handle the operational and business complexities associated with the Google Cloud adoption?
2. How will we ensure change management while transitioning to Google Cloud ecosystem?
3. What measures should we take to guarantee ongoing training, support, and knowledge enhancement for all individuals involved in the Google Cloud adoption, while also considering the engagement of Google Cloud’s engineering and professional services teams?
Governance:
1. What is our governance framework to effectively manage the adoption of Google Cloud within our enterprise?
2. How can we ensure a controlled and accountable approach to Google Cloud adoption?
3. How will we actively monitor and address risks associated with Google Cloud adoption, and what are our mitigation strategies to minimize the potential impact?

With maturing digital adoption, enterprises are changing their outlook towards utilizing the cloud as a key value generator. A successful strategy and a well-established roadmap are needed to realize cloud’s expected value. Choosing the right system integrator to partner with is also critical to get the most out of Google Cloud adoption.

Reach out to [email protected] and [email protected] to understand how to best leverage Google Cloud’s solution, industry, and partner ecosystem, the right metrics to effectively select a cloud transformation partner, and other cloud adoption trends.

IMC 2022 Highlights: India Mobile Conference Focuses on 5G Business Opportunities | Blog

November 17, 2022

With the launch of 5G in India last month, the 2022 Indian Mobile Congress (IMC) demonstrated many exciting possibilities for the high-speed network to deliver innovative use cases in India. Beyond the technology benefits, 5G can be leveraged to solve efficiency and optimization challenges and enable future growth for enterprises. To learn more about 5G business opportunities, read on.

India embarked on its “new digital universe” with the official unveiling of 5G technology by Prime Minister Narendra Modi at the sixth edition of the Indian Mobile Congress (IMC), Oct. 1-4 in Pragati Maidan in New Delhi. In this blog, we share some of our key takeaways from the event organized by the Cellular Operators Association of India (COAI) and India’s Department of Telecommunications (DoT).

The evolution of connectivity technologies with 5G as a platform for boosting productivity and innovation was among the key themes that emerged from this India mobile conference that drew an enthusiastic response from technology service and infrastructure providers, manufacturers, industry and government officials, academia, and the public.

Shifting narrative: from explaining technology to showcasing possibilities

While the 5G benefits of increased connectivity speed, low latency, and improved reliability are now well known, the India mobile conference highlighted several 5G-enabling technologies. These include carrier integrated 5G network (low- and mid-band); open-source technologies and architectures (O-RAN); network cloudification through Software-Defined Networking (SDN), Network Functions Virtualization (NFV), and Multi-Access Edge Computing (MEC); small cell 5G architecture, private 5G, network slicing, and Fixed Wireless Access (FWA).

An interesting highlight of the event was the increased emphasis on showcasing the applications of 5G. Among the possible use cases spotlighted were massive and critical Internet of Things (IoT), machine-to-machine communication, collaborative robotics, autonomous driving, vehicle edge computing, metaverse and Augmented Reality (AR) powered collaboration, predictive maintenance, remote surgery, real-time analytics and decision making, cloud-based gaming, smart cities solutions, intelligent supply chain and logistics, and smart retail.

With 5G resolving connectivity problems and other building blocks like cloud, Artificial Intelligence and Machine Learning (AI/ML), and IoT now mainstream, enterprises have all the needed elements to optimize and modernize their technology landscape and capture the next wave of growth opportunities.

5G for sustainability: an emerging conversation

While 5G network equipment and components are generally expected to consume more power than the previous generation, recent equipment and software innovations aim to make products as energy efficient as possible.

Some examples of the energy-efficient technology presented at IMC included lightweight massive Multiple-Input Multiple-Output (MIMO) radios and software solutions such as traffic-aware dynamic network management solutions for energy monitoring and management that provide 5G levels of expected network performance while consuming the same amount of energy as the traditional 4G network.

5G also is expected to power the next generation of sustainability applications around Greenhouse Gas (GHG) emissions monitoring and management, optimal resource management, smart transport, and other uses. Its higher bandwidth will make it possible to connect large numbers of IoT devices over the Internet and enable faster decisions through increased connectivity speeds and low latency.

Turning possibilities into practicalities: the need for building a contextualized business case

While 5G offers numerous benefits, from optimization and efficiency to unlocking new growth avenues, the strategic business value needs to be clearly communicated to enterprises.

Currently, the 5G ecosystem is a bit fragmented, with different types of players offering their own strengths. For example, OEMs are focusing on improving the equipment and hardware; communication service providers are focused on increased speed and low latency; and system integrators (SIs) bring data, AI/ML, IoT, and cloud expertise.

To move to the next level, industry players need to combine 5G’s benefits of connectivity, reliability, and low latency with AI/ML, IoT, and cloud to build business use cases that add value to enterprises beyond just showcasing the possibilities.

Ecosystem players need to help enterprises realize that 5G is not only an improved wireless network technology but also a solution to their long-standing efficiency and optimization challenges that can enable their next wave of growth.

To further discuss the India mobile conference and how to capture the most value from 5G business opportunities, please reach out to us at [email protected] and [email protected].

Watch our webinar, What’s Ahead After a Decade of Digital Transformation?, to hear our analysts share perspectives on what’s in store for the digital transformation industry in the next ten years.

Metaverse Adoption: How Cloud Can Add Reality in Virtuality | Blog

November 11, 2022

As the foundational technology for metaverse, a cloud infrastructure can unleash metaverse’s true promise and help it grow. To learn about the five critical elements cloud offers metaverse and how it is impacting enterprise strategies and the future, read on.

Metaverse holds the promise to transform the way we create, consume, and communicate information by integrating virtual, augmented, and physical realities in a world where users can engage and gather immersive experiences.

Technology pioneers are betting on this multi-billion-dollar industry that can offer experiential engagement to digital customers. With a potential growth rate of more than 50% by 2030, it is considered the technology of the future.

From redefining the hybrid work model to modernizing product payment systems and innovating experiences at speed and scale, metaverse has found applications most everywhere across all enterprises. It has evolved from only being accessible through Virtual Reality (VR) headsets to becoming directly available through smartphones.

“The metaverse is here, and it’s not only transforming how we see the world but how we participate in it – from the factory floor to the meeting room.”

– Satya Nadella, Chairman and CEO, Microsoft

The metaverse’s foundation

But what enables metaverse to create synced avatars that can interact in real-time with such ease? Which underlying technologies integrate to create the virtual existence of our physical realm?

Beneath this world of enhanced user experience and engagement lies the core of all the new-age order – the cloud. Metaverse seems to be a natural use case of cloud adoption. Its ever-expanding universe of existence demands resources that can support its growth.

Moreover, cloud can exhibit its true potential to be purpose-led with the expansion of metaverse. Thus, with the underlying requirements of accessibility and connectedness, a cloud-native infrastructure can unleash metaverse’s true promise.

Five critical elements that cloud offers metaverse

Cloud caters to the metaverse in the following ways:

Scalability: Metaverse requires a similar experience for several concurrent users. Distributed cloud computing allows easy interactivity and accessibility through on-demand computing power, storage, and networking capabilities. Underlying flexible architectures allow constant scaling and user expansion. Hyperscalers have already recognized their role and are creating technology stacks to enable metaverse
Efficiency: Creating an open metaverse system requires a powerful underlying infrastructure that can combine complicated virtual environments into a single ecosystem. Being complex and compute-intensive, more innovative ways to leverage infrastructure are needed. Hosting environments must not only store and immediately process huge data streams but also maintain similar operational levels at all times. With a hybrid and distributed cloud environment, metaverse applications can seamlessly access enormously powerful processing resources. Cloud services providers are continuously providing optimized cloud environments based on adopting metaverse applications
Interoperability: Metaverse provides an interconnected virtual environment where users can find new means to engage and access content. This opens new opportunities for monetization with virtual and physical synergy. Interoperability in metaverse requires standard protocols, homogenizing multiple data structures, and output streams to converge for a seamless experience. Cloud-enabled open metaverse architecture has embedded interoperability principles empowering users to port their identities into a shared digital ecosystem
Real-time experience: Providing real-time experiences to millions of concurrent users requires low latency levels. Latency is directly related to decision-making in the virtual environment. Also, latency reduction helps remove cyber-sickness (similar to motion sickness), which is prominent in VR usage. Cloud delivers believable experiences through dispersed points of presence, and with edge cloud, service providers can boost computing powers and improve response time. Edge computing thus plays a vital role in providing high-quality rendering in real-time
Cost-effectiveness: Consumers need Augmented Reality/Virtual Reality (AR/VR) glasses to have a truly immersive experience in metaverse. Even entry-level versions of these equipment pieces are relatively expensive because of inbuilt hardware. Offloading compute to edge cloud infrastructure can potentially lower the costs and increase the feasibility of the systems

Metaverse’s impact on cloud strategies

Industry players have recognized the cloud’s pivotal role in the metaverse space. Social media companies, game developers, and technology vendors have begun to meaningfully invest in strengthening their cloud infrastructure.

The race to embrace metaverse is changing future cloud adoption strategies in such ways as:

Increased hybrid cloud adoption – Adopting a hybrid cloud to host enterprises’ metaverse entities will improve the speed, availability, reliability, and scalability of metaverse environments
More secure cloud investments – Financing is essential for the operations and to build native applications to leverage the power and capacity that cloud offers
New edge computing appreciation – This architecture can help alleviate performance and connectivity challenges
Increased custom-built cloud solutions – Enterprises are favoring this approach, which can accelerate their metaverse adoption, such as AR cloud

Metaverse adoption outlook

We expect enterprise leadership to increasingly push for metaverse adoption to meet evolving internal objectives or changing environmental dynamics. Transforming the underlying infrastructure to be metaverse-ready is the first – and most critical step – for enterprises embarking on this journey.

For more details on metaverse adoption, see our Metaverse Primer: What Is It and Where Can It Be Used? To discuss leveraging the cloud to have a metaverse-ready infrastructure, contact [email protected] and [email protected].

You can also watch our LinkedIn Live session, Trust and Safety (T&S) in the Metaverse, to learn risk mitigation strategies for challenges that could arise when taking on metaverse initiatives, and implications for the third-party T&S services market.

How Enterprises Can Achieve Full Value from ServiceNow Investments | Blog

October 13, 2022

In response to changing market demands, ServiceNow has expanded its platform over the past two years, from primarily managing IT workflows to providing full enterprise solutions. Read on to learn the best practices from industry leaders to ensure your greatest return from ServiceNow investments.

Since our inaugural ServiceNow Services PEAK Matrix Assessment in 2020, the software company has significantly expanded its portfolio to go beyond IT Service Management (ITSM) to new offerings that help clients drive business growth, increase resilience, and enhance employee productivity.

Our recently published second edition of the assessment found about 65% of enterprises are exploring scaling up ServiceNow investments for end-to-end process modernization. CIOs who have upgraded their IT workflow on ServiceNow are now looking to transform business processes and integrate the platform with existing systems of record, engagement, and intelligence.

Based on our interactions with industry leaders, we recommend enterprises consider the following factors when seeking to modernize their business processes with ServiceNow:

Shift away from IT to business Key Performance Indicators (KPIs)

The watermelon effect of KPIs in ITSM is not new. Over the past two years, we have addressed several situations where ServiceNow clients struggled with having all the metrics look green on the outside but are red on the inside.

The reason often is two-fold – tracking irrelevant metrics and overreliance on IT metrics. Enterprises need to track relevant metrics closely tied to business outcomes while being aware of the pitfalls in measuring these metrics.

ServiceNow customers are tracking business KPIs such as customer experience, reduction in touchpoints, percentage of issues resolved by self-healing, and cost efficiency. Leading service partners are proactively collaborating with customers to course correct and update KPIs and tracking methods during quarterly and mid-year reviews.

Minimize customization

Early adopters leveraged ServiceNow to make custom applications and create a final product that mimicked organizational processes. These solutions were developed on the go to meet demand. As ServiceNow continues to push new and improved versions, it has become very difficult and costly for these customers to make updates due to the huge technical debt.

Clients that adopted ServiceNow largely out-of-box are more agile and tend to benefit from improved processes. Enterprises should modernize their processes to fit the standard offerings and minimize customization or wait for the offerings to sufficiently mature before investing.

Select the right transformation partner

We think Albert Einstein’s famous statement, “The definition of insanity is doing the same thing over and over and expecting different results,” unfortunately, applies here. Most enterprises need qualified staff to help guide and manage the project over multiple years. They also need to deal with unplanned turnover, the ServiceNow talent gap, inflexible contracts that don’t allow for strategy changes, ever-shrinking budgets, and, last but not least, the desire to have measurable outcomes. But often, enterprises end up using the same vendor selection and RFP processes without taking these factors into account.

Leading enterprises have not only updated their vendor selection methods but also have started planning for attrition, contractual flexibility, and outcome accountability right at the beginning of the engagement.

Large enterprises now are more open to engaging with specialist ServiceNow partners for module-specific requirements, especially for non-ITSM products such as Human Resources Service Delivery (HRSD), Customer Service Management (CSM), and Governance, Risk, and Compliance (GRC). This is mainly owing to the specialized focus and right mix of flexibility and agility that large Global System Integrators (GSIs) often fail to offer.

We are closely tracking demand and supply-side developments in ServiceNow. For more insights, see our report, ServiceNow Services PEAK Matrix Assessment 2022, which sheds light on the ServiceNow partner ecosystem.

We would like to hear your thoughts on your ServiceNow investments and the growing adoption of innovative operating models to achieve business outcomes. Please reach out to us at [email protected] and [email protected].

You ca also find out What’s Ahead After a Decade of Digital Transformation in this webinar as we share perspectives on what’s in store for the digital transformation industry.

3 Tips for Managing Perpetual Change from Software-defined Operating Platforms

October 4, 2022

Over the past seven years, almost all large companies made substantial progress in implementing digital transformation across a wide variety of functions. At the core of those enormous investments and efforts was building software-defined operating platforms, which put companies on a trajectory to fundamentally change how they operate their business. However, studies show many companies (70%) failed or underperformed against their digital transformation objectives. In this blog, I’ll discuss three tips for how to avoid that outcome and, instead, reap the significant benefits of software-defined operating platforms.

Read on in Forbes

Metaverse and ScienceTech: Will These Virtual and Real-world Markets Compete?

July 4, 2022

Metaverse is the buzz these days. While Metaverse provides an embodied virtual-reality experience, ScienceTech fuses technology and science to solve real problems of humanity. Who will win in the battle for relevance, investments, and talent? To learn more about these virtual and real-world market opportunities and what actions technology and service providers should take, read on.

While they once seemed far out, the Metaverse and ScienceTech are here now. As part of our continued Metaverse research, let’s explore these emerging technologies and whether they will collide or coexist.

ScienceTech brings together technology and science to improve the real world by enhancing living standards and improving equality. It combines technology with physical sciences, life sciences, earth sciences, anthropology, geography, history, mathematics, systems, logic, etc.

Meanwhile, the Metaverse is an emerging concept that uses next-generation advanced technologies such as Augmented Reality (AR)/Virtual Reality (VR), digital assets, spatial computing, and commerce to build an immersive, seamless experience.

Over the past few months, Metaverse has become a hot topic not only in technology circles but also among enterprises. As providers pump billions of dollars to create the landscape and value realization becomes clearer, Metaverse will grab increasing attention from enterprises, providers, and market influencers.

Its serious market potential can be seen by the collaboration of industry participants to define standards to interoperate Metaverse platforms and ecosystems. Everest Group is witnessing great interest in our Metaverse research and our recent webinar Web 3.0 and the Metaverse: Implications for Sourcing and Technology Leaders generated unprecedented client inquiries.

ScienceTech has been around for many years but has been mostly experimental with limited revenue and growth. Technology and service providers have been reluctant to meaningfully scale this business because of its complexity, significant investment requirements, and high risk of failure.

However, the pandemic has changed priorities for enterprises and individuals, making ScienceTech more critical to solving real-life problems. The cloud, an abundance of data, better manufacturing processes, and a plethora of affordable technologies have lowered the cost of enabling and building these offerings.

Competition between Metaverse and ScienceTech

Below are some of the areas where these two emerging fields could conflict:

Relevance

Many cynics have decried Metaverse as one more fantasy of BigTech trying to take people further away from reality. This cynicism has gained pace in light of the disruptive global pandemic. The make-believe happy world driven by a heavy dose of virtual reality takes the focus of humanity away from the pressing needs of our time.

While not well defined, ScienceTech is generally perceived as being different from pure play. Some of its ideas have been around for many years such as device miniaturization, autonomous systems, regenerative medicine, and biosimulation. The core defining principle of ScienceTech is that science researched, validated, and hypothesized themes are built through technology. The relevance of ScienceTech may appear far more pressing to many than the make-believe virtual world of Metaverse.

Investment

The interesting competition will be for investments. Last year, venture capitalists invested over US$30 billion in crypto-related start-ups. As the Web 3.0 and Metaverse tech landscape becomes more fragmented and crowded, investors may not want to put their money into sub-scaled businesses. This can help the ScienceTech space, which is not well understood by investors, but offers a compelling value proposition.

Talent

Technology talent is scarce and ScienceTech talent is even scarcer. Although Metaverse vendors will continue to attract talent because they can pay top dollar, ScienceTech vendors can offer more purpose and exciting technologies to niche talent. In the internet heydays, people bemoaned that bright minds were busy clicking links instead of solving world problems. Metaverse may have that challenge and ScienceTech can benefit from this perception. GenZ job seekers want to work in areas where they can impact and change the world, and ScienceTech can provide that forum.

What should technology and service providers do?

Both Metaverse providers and ScienceTech companies will thrive and share quite a few building blocks for technologies, namely, edge, cloud, Artificial Intelligence (AI), and data. Multiple technology and trends will not battle. Moreover, these two markets serve different purposes and Metaverse and ScienceTech will coexist. Technology and service providers will need to invest in both segments, and capture and shape the market demand.

Providers need to prioritize where to focus efforts, investments, partnerships, and leadership commitment. A different people strategy will be needed because skilling technology resources on science and vice-versa will not work. They will need to select specific focus areas and hire people from multiple science domains. The R&D group will have to change its constituents and focus on science-aligned technology rather than just Information and Communications Technology.

To be successful, providers also will have to find anchor clients to underwrite some offerings, collaborate to gain real-life industry knowledge, and engage with broader ecosystems such as academia, government, and industry bodies to build market-enabling forums.

To learn more about our Metaverse research and discuss your experiences in these emerging areas, contact [email protected] or contact us.

Visit our upcoming webinars and blogs to learn more about upcoming technologies and trends.

Announcing our inaugural conference: Everest Group Engage, The Pragmatic Edge: Designing Your Future. Learn more.

Category: Cloud Infrastructure