AI is reshaping the tech infrastructure landscape, demanding a fundamental rethinking of organisational infrastructure strategies. Traditional infrastructure, once sufficient, now struggles to keep pace with the immense scale and complexity of AI workloads. To meet these demands, organisations are turning to high-performance computing (HPC) solutions, leveraging powerful GPUs and specialised accelerators to handle the computationally intensive nature of AI algorithms.
Real-time AI applications, from fraud detection to autonomous vehicles, require lightning-fast processing speeds and low latency. This is driving the adoption of high-speed networks and edge computing, enabling data processing closer to the source and reducing response times. AI-driven automation is also streamlining infrastructure management, automating tasks like network provisioning, security monitoring, and capacity planning. This not only reduces operational overhead but also improves efficiency and frees up valuable resources.
Ecosystm analysts Darian Bird, Peter Carr, Simona Dimovski, and Tim Sheedy present the key trends shaping the tech infrastructure market in 2025.
Click here to download ‘Building the AI Future: Top 5 Infra Trends for 2025’ as a PDF
1. The AI Buildout Will Accelerate; China Will Emerge as a Winner
In 2025, the race for AI dominance will intensify, with Nvidia emerging as the big winner despite an impending AI crash. Many over-invested companies will fold, flooding the market with high-quality gear at bargain prices. Meanwhile, surging demand for AI infrastructure – spanning storage, servers, GPUs, networking, and software like observability, hybrid cloud tools, and cybersecurity – will make it a strong year for the tech infrastructure sector.
Ironically, China’s exclusion from US tech deals has spurred its rise as a global tech giant. Forced to develop its own solutions, China is now exporting its technologies to friendly nations worldwide.
By 2025, Chinese chipmakers are expected to rival international peers, with some reaching parity.
2. AI-Optimised Cloud Platforms Will Dominate Infrastructure Investments
AI-optimised cloud platforms will become the go-to infrastructure for organisations, enabling seamless integration of machine learning capabilities, scalable compute power, and efficient deployment tools.
As regulatory demands grow and AI workloads become more complex, these platforms will provide localised, compliant solutions that meet data privacy laws while delivering superior performance.
This shift will allow businesses to overcome the limitations of traditional infrastructure, democratising access to high-performance AI resources and lowering entry barriers for smaller organisations. AI-optimised cloud platforms will drive operational efficiencies, foster innovation, and help businesses maintain compliance, particularly in highly regulated industries.
3. PaaS Architecture, Not Data Cleanup, Will Define AI Success
By 2025, as AI adoption reaches new heights, organisations will face an urgent need for AI-ready data, spurring significant investments in data infrastructure. However, the approach taken will be pivotal.
A stark divide will arise between businesses fixated on isolated data-cleaning initiatives and those embracing a Platform-as-a-Service (PaaS) architecture.
The former will struggle, often unintentionally creating more fragmented systems that increase complexity and cybersecurity risks. While data cleansing is important, focusing exclusively on it without a broader architectural vision leads to diminishing returns. On the other hand, organisations adopting PaaS architectures from the start will gain a distinct advantage through seamless integration, centralised data management, and large-scale automation, all critical for AI.
4. Small Language Models Will Push AI to the Edge
While LLMs have captured most of the headlines, small language models (SLMs) will soon help to drive AI use at the edge. These compact but powerful models are designed to operate efficiently on limited hardware, like AI PCs, wearables, vehicles, and robots. Their small size translates into energy efficiency, making them particularly useful in mobile applications. They also help to mitigate the alarming electricity consumption forecasts that could make widespread AI adoption unsustainable.
Self-contained SMLs can function independently of the cloud, allowing them to perform tasks that require low latency or without Internet access.
Connected machines in factories, warehouses, and other industrial environments will have the benefit of AI without the burden of a continuous link to the cloud.
5. The Impact of AI PCs Will Remain Limited
AI PCs have been a key trend in 2024, with most brands launching AI-enabled laptops. However, enterprise feedback has been tepid as user experiences remain unchanged. Most AI use cases still rely on the public cloud, and applications have yet to be re-architected to fully leverage NPUs. Where optimisation exists, it mainly improves graphics efficiency, not smarter capabilities. Currently, the main benefit is extended battery life, explaining the absence of AI in desktop PCs, which don’t rely on batteries.
The market for AI PCs will grow as organisations and consumers adopt them, creating incentives for developers to re-architect software to leverage NPUs.
This evolution will enable better data access, storage, security, and new user-centric capabilities. However, meaningful AI benefits from these devices are still several years away.
It is an incredible time of change for the city and regional governments where every strategic activity – especially in these globally challenging times – presents a significant opportunity for transformation. To continue to meet the changing needs of the communities they serve, every modern city government’s technology story is a work in progress. While this is the mantra for successful continuous improvement it also describes the best strategic approach for how municipalities should manage their corporate application replacement programs.
Unfortunately, significant systems upgrade and replacement programs are regularly approached as complex, multi-tasking activities that have a hard start, a defined program, and a date-stamped end. In taking this traditional project implementation approach, intuitively, many organisations believe that doing as much as possible, in as quick a time as possible, ultimately helps to achieve twice as much within the same time. The result is more likely to be half as much, and at lower levels of quality and enjoyment for all involved. This manifests as project scope creep and budget overruns.
Aside from these big bang approaches, thanks to large implementation costs and stringent regulatory oversight, local governments are also forced to think upfront about the potential future value created by a significant core system technology change. The pressure of moving at high speed, and with a dominant technology focus, can obscure both the true organisational cost and ultimate value of the program. This mentality prevails even when it is acknowledged that activities associated with a transformation program will eventually usher in a period of significant change – that is not limited to the changing core corporate applications environment itself.
The 4-Part ERP Transformation Trap is All Too Common in City Government
An over-reliance on technology to deliver business transformation outcomes. Local governments everywhere continue to pursue strategic plans that are either wholly defined or implicitly reliant on world-class customer experience (CX), employee experience (EX), and digital transformation (DX) capabilities. Despite these being business-oriented strategies, organisations then pursue an over-reliance on technology – usually winner-take-all ERP led procurements – to achieve them.
Choosing an industry solution focused on the wrong business model. The chance of achieving these digital transformation outcomes is further obscured when the customer is not central to the data model. The core corporate application technology underpinning the sector’s leading ERP programs is largely based on a property-centric model – where the customer is a subordinate attribute of a property, and the property asset defines the business process and individual. It is a challenge for any council to deliver contemporary customer-first digital transformation with a property-centric approach. To realise customer and employee-centric outcomes, councils must therefore rethink their project’s business methodology and ask themselves, “what is our primary focus here?”. This is never more important than when replacing legacy systems.
Inability to realise that a winner-take-all ERP solution is not an architectural choice. ERP is important but it is not everything. The traditional council ERP is just one important part of an overall capability that allows authorities to longitudinally manage the impacts and opportunities of change across their organisation, communities, and stakeholder ecosystems. Having chosen a sector specific ERP solution, city governments realise too late that no single technology vendor has a best-of-breed solution to achieve the desired DX outcomes. That requires a more sophisticated architectural approach.
Failure to acknowledge there is no finish line to transformation. Like many worthwhile activities, the prize in DX is in the journey, not in the cup. While there can be an end to “project scope”, there should be no “end point” for an ERP transformation program. Only once these challenges are acknowledged and accepted, can transformation be assimilated into the organisation to ensure the council is technically capable of delivering the implicit outcome for the organisation. This could simply be defined as ‘a contemporary business approach to managing the money, the assets, the community, the customers, and the staff of regional government.’
A Better Way: Re-Architecting for Project Success
Where opportunities to meet increasing CX and EX demands arise, especially through ERP and corporate application renewal programs, successful projects in contemporary councils require a service-oriented architecture not found in contemporary or legacy ERP systems alone.
Beyond the property-centric challenges already outlined, even contemporary systems and suppliers can be among the least flexible to the changing data management requirements of many organisations which call for significantly more robust data, integration and application friendly infrastructure management environments.
Customer centricity, data management, integration and software infrastructure capabilities must take precedent over an aging view of single-vendor dominance in the city government sector, especially in middle- and back-office functions, which are typically void of true differentiation opportunities and prone to confining organisations to technology-led and locked projects.
Rather than tendering for a single software provider or platform, contemporary city governments must ditch the old approach to procuring a winning ERP vendor and take steps to establish the following Big 5 platform capabilities (Figure 1). And then foster the contemporary workforce to support them.
For several decades now many organisations have attempted to short-circuit the city government ERP challenge. Fundamentally, technology transformation is not possible without technology change. A non-negotiable part of that change is a shift away from the psychology of brand-based procurement towards a new architectural approach which, like all businesses, is adaptable to change over a long period of time.
Verint has announced the intention to acquire Conversocial, a US-based social media management system provider for USD 50 million to integrate social messaging capabilities across Verint’s cloud platform. The deal is expected to be closed in Verint’s third quarter subject to customary closing conditions and regulatory clearances.
Verint has been expanding their digital engagement capabilities through acquisitions. In June, Verint expanded their Workforce Management (WFM) offerings to include AI-driven insights for better hiring decisions through the acquisition of HireIQ. To extend Verint’s omnichannel cloud Voice of the Customer (VoC) portfolio, Verint acquired Foresee. Verint is also building IVA capabilities and recently launched a low code version of their IVA solution to make it easier for brands to build the solution without the need for technical knowledge.
The Need to Enhance Digital Engagement
Using self-service and messaging as the first point of connection to engage with a brand is growing rapidly. It accelerated during the pandemic, and it is common now for individuals to engage with their financial institution, airlines, retail and others through social media. Now that customers are demanding it, brands are lifting their game and engaging with customers on the platform of their choices. This acquisition will allow Verint to deepen their digital engagement with customers across Marketing, Contact Centres and digital functions – it follows the pulse of today’s customers.
Digital discussions are accelerating and having a platform that can orchestrate as well as understand all the data from each digital and social messaging channel is important. Verint is taking the data discussion seriously and earlier this year they launched Engagement Data Management Solution (EDM). The ‘’data’’ piece is huge and cuts across functions – from back-office communications to gathering data across all channels and touchpoints. However, where this is going wrong for some enterprises is that all the data they collect sits in multiple repositories; in some instances the data has not been analysed for years! Managing the multiple social experiences, including data management and insights from these multiple sources, will be key to delivering proactive customer experience.
The data discussion is particularly significant for a vendor such as Verint – they are well known for their speech analytics and compliance management capabilities. These are all critical to managing multiple channels of conversation. They help agents to be accurate, efficient, and compliant; allow organisations to use asynchronous channels and social messaging and digital channels; immediately rectified errors through monitoring the data on the channels and so on. More importantly, they allow organisations to pick up points from conversations that can be passed on to Marketing to gauge the effectiveness of the messaging and campaigns. Organisations can ‘’identify and fix” problems by truly listening to customers.
Why Conversocial
If we look at the Conversocial customer stories, we realise how relevant their offerings are to industry requirements. They offer brands the ability to engage through an automated channel and chatbots. Whirlpool appears to have benefited by integrating channels to deliver better customer care as well as communicating with field engineers through WhatsApp. Another customer, Freshly – a meals delivery company – saw a spike in incoming queries at the start of the pandemic. They were able to use automation to ease of the load and say that 50% of the conversations were handled in-channel through automation without the need for human agent intervention. They were also able to use Facebook Messenger as a preferred contact channel and decreased their cost-per-contact.
This acquisition demonstrates how Verint is taking the digital and the data discussion seriously. CX Vendors that do not move fast in building end-to-end digital capabilities will find it hard to compete in a highly competitive CX market.
The past twelve months have been tough. Most businesses in Singapore (68%) still haven’t seen revenue recover to pre-pandemic levels. Many budgets are down and you are likely to have a long list of spending options that might help you grow revenue and pull your business out of the pandemic-induced slump. Even if your business is doing well, the pressure on budgets is real.
Increasing your CX Spend
Despite the pressure on budgets Ecosystm data makes a strong case to not cut your customer experience (CX) spend! Businesses in Singapore that are cutting their CX spend are less likely to return to growth, more likely to be competing on price (hence cutting margins), not focused on their digital and omnichannel customers, and have lower levels of innovation. Funnily enough, these are also the businesses with complex, legacy systems which need more focus to provide an improved CX! To be quite frank, businesses in Singapore who are cutting CX spend are setting themselves up for failure. With other businesses increasing CX spend, the gap between the customer experiences will grow to a point where customers will leave and it will be hard to catch up.
Prioritising your CX Spend
So now that you have secured your CX spend, where will you get the biggest bang for your buck? Let’s look at where businesses in Singapore are focusing their CX initiatives in 2021.
Offering an omnichannel experience. Your customers expect more than just a great digital experience – they want the right experience at the right touchpoint. The CX leaders in Singapore (who, unsurprisingly are often the market leaders) are already offering great omnichannel experiences, so this is quickly becoming about catching up – and not about getting ahead. Providing a consistent, personalised, and optimised experience across your digital touchpoints needs to be a top priority for your business today. If you are not offering conversational commerce solutions, start that strategy as soon as possible – you need to be where your customers are today. Extending this to physical channels and broader ecosystem partners should also be on your agenda.
Improving knowledge systems. Your knowledge systems don’t do what they say on the box. They don’t provide answers to questions – for employees or customers. In fact, if your customer service agents get asked a question they don’t know the answer to, their number one source for answers is actually their colleagues or team leaders – NOT the knowledge management system! Start investing in systems – or ideally a single system – that help your employees get better, faster answers to questions. Make sure that the system is providing the same answers to both your employees and your customers across all touchpoints – physical and digital.
Migrating customer service platforms to the cloud. Over half the businesses in Singapore that we assessed have this as a top CX priority. Cloud solutions offer faster time to value, lower management costs, give access to more regular improvements and often provide the ability to easily integrate with partners who offer product extensions and customisations. This trend will continue in 2021 and 2022 as more businesses realise that their legacy customer service or contact centre platform is inhibiting their ability to innovate their customer experience. These systems also help businesses to stay compliant and reduce the reliance on internal IT – which has traditionally struggled to keep up with the fast-changing nature of the contact centre and customer service teams.
Investing in AI and machine learning. Many businesses are using AI to provide the personalised and optimised customer experiences they aspire to. AI and machine learning are allowing businesses to create personalised offers, offer a next-best action and automate services. Advanced banks in Singapore can create interest rate offers for each individual customer based on their credit profile and history. 46% of businesses in Singapore are already using AI to offer recommendations for customer service agents, 44% to optimise or test messaging and campaigns and 43% to provide faster, more accurate access to information and knowledge. 18 months ago, AI was a business differentiator – allowing your business to create a stand-out CX. Today AI is quickly becoming a standard practice – the battle now is around using AI to create personalised and optimised experiences.
A great customer experience will be the most important factor in lifting your business to pre-pandemic growth levels and helping your business remain competitive in today’s tough business conditions. When it comes to CX, there is no such thing as “saving your way to growth”.
Your opportunity to drive greater business success lies in your ability to better win, serve and retain your customers. Refresh your customer strategy and capability today to make 2021 an exceptional year for your business.
This week saw SAS and Microsoft announce a strategic partnership both in their technology offerings and go-to-market strategy. SAS analytical products and industry solutions will be migrated onto Microsoft Azure as the preferred cloud provider for the SAS Cloud. Microsoft hopes to leverage SAS’ industry expertise, especially in healthcare and financial services. This partnership builds on SAS integrations across Microsoft cloud solutions for Azure, Dynamics 365, Microsoft 365 and Power Platform.
Here is what our Analysts say:
“To date, the focus of cloud computing has been around providing customers with levels of agility, speed, and scalability that cannot be provided by on-premises solutions. Customers have benefitted from this cloud functionality by being able to provision new services rapidly, pivot swiftly when they need to change their business models and build resilience and flexibility into the ways in which they do business. Today, customers are asking for more. Microsoft has responded to this demand by forming or enhancing cloud partnerships with leading cloud vendors including Salesforce, SAP, Oracle, Workday, ServiceNow and Adobe, as part of an overall strategy to make it easier for customers to choose Azure as their key enterprise foundation, and to offer more functionality.
Across industries, from healthcare to financial services, businesses finally realise the potential value of data. They recognise that the most competitive businesses are those that fully leverage the data that they can access. Businesses want cloud services to offer AI and machine learning capabilities. They want to use these capabilities to become more innovative and more competitive. To do this, these cloud services need to be integrated more tightly with capabilities which Microsoft does not have.
SAS is the leader in data analytics and AI software for enterprises, so it makes perfect sense for Microsoft to partner with the company. Integrating SAS models with Microsoft’s cloud estate, in particular Azure will enable Microsoft to offer its customers more than the typical benefits of cloud services. They can offer their customers intelligent cloud services.
SAS can offer its customers a more comprehensive solution by integrating its AI and machine learning capabilities into the Microsoft cloud estate. SAS and Microsoft will combine their engineering resources to ensure that SAS’ analytics products work well on Azure. A key priority is building an Azure-optimised version of Viya, the cloud version of SAS’ core analytics toolkit. SAS will also look at ways in which it can integrate its software with the native analytics services provided in Azure.
Importantly, companies will create joint solutions across multiple verticals. An example of a joint solution is SAS’ IoT analytics and the Azure IoT platform being used to increase situational awareness of rising stream levels, to predict where flooding might occur, thus improving emergency response.
SAS software will continue to be cloud-agnostic. But, SAS itself will migrate its internal operation and its global cloud business to Azure. The expanded partnership with Microsoft does not impact SAS customers who run on AWS or GCP. But, Azure customers can expect to see benefits over time as SAS and Microsoft work closely on joint solutions.”
“The SAS and Microsoft relationship goes well beyond ‘Azure is our cloud hosting platform of choice’. It brings together Microsoft’s leading suite of AI tools and cloud infrastructure and platform capabilities and the leading analytics and intelligent applications provider. Through the combined toolset, every-day applications have the opportunity to become even more intelligent – and the industry-specific intelligent business processes that SAS is known for will be able to be hosted on the cloud, and more deeply integrated into existing solutions and PaaS services. The ability to embed SAS workloads into containers means that a broader user set can access and learn from the analytics that they provide – and automate an even greater number of business and customer processes using the AI and Analytics toolsets from both providers.
It also simplifies the management of SAS software and gives a clear and easy path to the public cloud for SAS customers who have not yet made that transition.
The partnership has the opportunity to further accelerate Microsoft’s transition towards even smarter applications. Microsoft has already been recognised in the market as having one of the better AI capabilities – mostly because of embedding intelligence into existing applications and processes. But Microsoft was never going to be able to provide the intelligence for every process in every industry. This partnership will accelerate Microsoft towards the automation of more processes that are used by customers across the spectrum of sectors and industries – and it obviously extends SAS’ reach beyond their traditional customer base.”