Established enterprise leaders like IBM, Microsoft, and Google continue to make progress in quantum computing. As a result, quantum computers are getting bigger and achieving advantages over traditional tech in limited circumstances.
Sandeep Pattathil, a Senior Analyst at IT advisory firm, Everest Group, told VentureBeat that IBM has a clear-cut roadmap for achieving large-scale, practical quantum computing with plans to have a 1,000-qubit computer in place by 2023 and has so far met all their milestones.
Today’s tech industry must always stay a step ahead of attackers. Confidential computing is part of that conversation, but as with the edge, there is some confusion over what it actually means.
“While the adoption of confidential computing is in the relatively nascent stage, our research reveals growth potential not only for enterprises consuming it but also for the technology and service providers enabling it,” said Abhishek Mundra, Practice Director at Everest Group.
With so many industry cloud platforms available from different technology players, selecting the right solution for your enterprise is not simple. Learn the important characteristics to look for from providers in this latest blog in our industry cloud series.
As cloud technology matures, industry-specific solutions are emerging as a leading preference over generic options to deliver efficiency, experience, innovation, and business-enabled growth. According to Everest Group’s latest survey, a staggering 87% of enterprises rate industry cloud as one of their top three investment priorities.
The supply landscape is heating up with technology providers leading with an industry cloud-focused go-to-market narrative, investing in multiple offerings for target verticals, initiating industry cloud-dedicated partner launch programs, and announcing large enterprise engagements.
Read on for a deep dive into suppliers’ industry cloud offerings and our recommendations to equip enterprises to select the best-suited industry cloud solution for them.
The industry cloud solution marketplace is proliferating
The following three broad categories of industry-specific cloud solutions are emerging in the market:
Cloud infrastructure providers such as Microsoft Cloud for Manufacturing, AWS for Health, and Google Cloud for Telecommunications focus on providing an industrialized set of cloud solutions and services tailor-made for specific industries. Industry-specific configurations, interfaces, use cases, and blueprints are embedded into existing functionalities and bundled with partner solutions
Enterprise platform providers such as Salesforce Financial Services Cloud, SAP Digital Manufacturing Cloud, and Oracle Retail Cloud embed industry-specific processes, solutions, and frameworks into their horizontal applications and functions to enable industry specificity
Business solution providers such as Veeva Systems Life Sciences Cloud, Temenos Banking Cloud, and Guidewire Cloud for Insurance deliver true and heavily nuanced vertical solutions by providing niche industry-specific functionalities covering the breadth and depth of the value chain, targeting industry pain points
Though the objectives appear similar, technology providers take different routes for portfolio development based on their heritage and core strengths and provide varying degrees of industry specificity, adaptability, and improvisation.
For instance, cloud infrastructure providers offer flexible and ecosystem-driven industry cloud, while business solution providers have a more exhaustive use case coverage.
How to select the right industry cloud for your firm?
Enterprises need to make informed decisions when selecting providers of choice and carefully consider their business objectives, existing technology landscape, level of industry-specificity and enterprise-contextualization required, and preferred consumption model (off-the-shelf solution versus customized offerings).
Below, we detail the key characteristics of each solution type to assist enterprises in selection.
Industry cloud solutions by cloud infrastructure providers
Cloud infrastructure players provide a basic level of industry-specific functionalities and configurations powered by advanced cloud computing and next-generation technology capabilities in data analytics, Artificial Intelligence and Machine Learning (AI/ML), and the Internet of Things (IoT).
These most benefit existing consumers of cloud infrastructure providers’ technology stack that intend to digitize their platforms and services by co-creating or co-developing solutions with ecosystem players, instead of preferring directly consumable end-to-end industry cloud offerings.
Level of industry-specificity: Low-medium
Degree of customization: High
Industry cloud solutions by enterprise platform providers
Enterprise consumers of Customer Relationship Management (CRM), Enterprise Resource Planning (ERP), and other horizontal applications focused on achieving unified customer relationships, and employee experience can leverage industry cloud solutions by these providers.
Enterprise platform providers provide out-of-the-box industry solution workflows, built on core horizontal enterprise platform functionalities consisting of purpose-built functionalities, pre-built data models, and automation and AI/ML capabilities for particular industries.
Their focus is on digitizing vertical systems across the front, middle, and back offices, powered by customer data-related insights and integration between the sales and operations teams. These offerings have a limited level of customization and are usually available as different editions of off-the-shelf offerings.
Level of industry-specificity: Medium
Degree of customization: Medium
Industry cloud solutions by business solution providers
Enterprises requiring extensive value chain coverage and high-grade industry-specific cloud solutions that are looking to digitize their industry platforms can consider offerings by business solution providers.
These solutions are delivered in a pre-packaged and composable format. Enterprises can consume these solutions and services in a modular form and augment functionalities by developing vertical-specific solutions and services on top of these platforms.
Level of industry-specificity: High
Degree of customization: Low
Interdependence of technology providers and the role of System Integrators (SIs)
These providers cannot independently provide end-to-end expertise across all layers of an industry cloud stack – infrastructure and platform layer, application layer, differentiation layer, and customization layer.
While these players bring their own strengths to the table, they rely on each other to fill in the missing pieces.
Both cloud infrastructure players and enterprise platform providers depend on business solution providers for domain expertise and vertical-specific contextualization. Meanwhile, enterprise platform and business solution providers rely on cloud infrastructure providers for underlying compute and next-generation technology capabilities.
In this ecosystem-led play, SIs play the key role of ecosystem enablers. For an effective industry cloud implementation, enterprises should engage with SIs for enterprise contextualization, industry knowledge, implementation capabilities, and system integration expertise.
Industry cloud offerings in banking and financial services
To illustrate, we compare different industry cloud solutions in the banking and financial services space by these provider categories below:
The industry cloud outlook
Though this space is witnessing heightened investments and significant interest among enterprises, the market is still primitive, and the road to success is not straightforward.
To ensure optimum value from industry cloud adoption, enterprises need to clearly define their industry-specific cloud requirements, identify target use cases, choose the appropriate sourcing strategy, analyze available solutions, align the partner ecosystem, factor in technology-related dependencies, and consider industry-specific compliance regulations.
Cloud as a concept and then as a reality swept through businesses over the past ten years, and most companies moved a lot of their applications to public cloud platforms. AWS, Google Cloud Platform, and Microsoft’s Azure (the hyperscale service providers) are now powerful influencers in business today. They turned IT into a commodity and then put an as-a-service layer on it, thus influencing business thinking as well as IT. But companies are now competing in a different way.
With today’s business transformation led by cloud, migration frenzy remains at a fever pitch. Even though most cloud vendors are now witnessing slower growth, it will still be years before this juggernaut halts. But can you have too much cloud? The question of how far enterprises should go in their cloud transformation journey is rarely thought of. Read on to learn when it may be time for your enterprise to stop and reexamine its cloud strategy.
Enterprises believe cloud will continue to be critical but only one part of their landscape, according to our recently published Cloud State of the Market 2021. Once enterprises commit to the cloud, the next question is: How far should they go? This runs deeper and far beyond asking how much of their workloads should run on cloud, when is the opportune time to repatriate workloads from cloud, and whether workloads should be moved between clouds.
Unfortunately, most enterprises are too busy with migration to consider it. Cloud vendors certainly aren’t bringing this question up because they are driving consumption to their platform. Service partners are not talking about this either, as they have plenty of revenue to make from cloud migration.
When should enterprises rethink the cloud transformation strategy?
The challenge in cloud transformation can manifest in multiple ways depending on the enterprise context. However, our work with enterprises indicates three major common obstacles. It’s time to relook at your cloud journey if your enterprise experiences any of the following:
Cloud costs can’t be explained: Cloud cost has become a major issue as enterprises realize they did not plan their journeys well enough or account for the many unknowns to start. However, after that ship has sailed, the focus changes to micromanaging cloud costs and justifying the business case. It is not uncommon for enterprises to see the total cost of ownership going up by 20% post cloud migration and the rising costs are difficult for technology teams to defend
Cloud value is not being met: Our research indicates 67% of enterprises do not get value out of their cloud journey. When this occurs, it is a good point to reexamine cloud. Many times, the issue is poor understanding of cloud at the offset and the workloads chosen. During migration frenzy, shortcuts are often taken and modern debt gets created, diluting the impact cloud transformation can have for enterprises
Cloud makes your operations more complex: With the fundamental cloud journey and architectural input at the beginning more focused on finding the best technology fits, downstream operational issues are almost always ignored. Our research suggests 40-50% of cloud spend is on operations and yet enterprises do not think through this upfront. With the inherent complexity in cloud landscape, accountability may become a challenge. As teams collapse their operating structure, this problem is exacerbated
What should enterprises do when they’ve gone too far in the cloud?
This question may appear strange given enterprises are still scaling their cloud initiatives. However, some mature enterprises are also struggling with deciding the next steps in their cloud journey. Each enterprise and business unit within them should evaluate the extent of their cloud journey. If any of the points mentioned above are becoming red flags, they must act immediately.
Operating models also should be examined. Cloud value depends on the way of working and the internal structure of an enterprise. Centralization, federation, autonomy, talent, and sourcing models can influence cloud value. However, changing operating models in pursuit of cloud value should not become putting the cart before the horse.
Enterprises always struggle with the question of where to stop. This challenge is only made worse by the rapid pace of change in cloud. As enterprises go deeper into cloud stacks of different vendors, it will become increasingly difficult to tweak the cloud transformation journey.
Despite these pressures, enterprises should periodically evaluate their cloud journeys. Cloud vendors, system integrators, and other partners will keep pushing more cloud at enterprises. Strong enterprise leadership that can ask and understand the larger question from a commercial, technical, and strategic viewpoint is needed to determine when enough cloud is enough. Therefore, from journey to the cloud, to journey in the cloud, enterprises should now also focus on the journey’s relevance and value.
If you would like to talk about your cloud journey, please reach out to Yugal Joshi at [email protected].
For more insights, visit our Market Insights™ exploring the cloud infrastructure model. Learn more
Increasingly this year, we see many companies that aggressively migrated their work from on-premises clouds looking to move work back to on-premises and private clouds. The mindset that the public cloud saves money because a company only pays for what it uses is just theoretical and really an illusion. Realistically, companies tend to buy capacity rather than actual time used. Thus, companies are in a take-or-pay situation like the economics of a private cloud or on-premises solution.