Southeast Asia’s banking sector is poised for significant digital transformation. With projected Net Interest Income reaching USD 148 billion by 2024, the market is ripe for continued growth. While traditional banks still hold a dominant position, digital players are making significant inroads. To thrive in this evolving landscape, financial institutions must adapt to rising customer expectations, stringent regulations, and the imperative for resilience. This will require a seamless collaboration between technology and business teams.
To uncover how banks in Southeast Asia are navigating this complex landscape and what it takes to succeed, Ecosystm engaged in in-depth conversations with senior banking executives and technology leaders as part of our research initiatives. Here are the highlights of the discussions with leaders across the region.
#1 Achieving Hyper-Personalisation Through AI
As banks strive to deliver highly personalised financial services, AI-driven models are becoming increasingly essential. These models analyse customer behaviour to anticipate needs, predict future behaviour, and offer relevant services at the right time. AI-powered tools like chatbots and virtual assistants further enhance real-time customer support.
Hyper-personalisation, while promising, comes with its challenges – particularly around data privacy and security. To deliver deeply tailored services, banks must collect extensive customer information, which raises the question: how can they ensure this sensitive data remains protected?
AI projects require a delicate balance between innovation and regulatory compliance. Regulations often serve as the right set of guardrails within which banks can innovate. However, banks – especially those with cross-border operations – must establish internal guidelines that consider the regulatory landscape of multiple jurisdictions.
#2 Beyond AI: Other Emerging Technologies
AI isn’t the only emerging technology reshaping Southeast Asian banking. Banks are increasingly adopting technologies like Robotic Process Automation (RPA) and blockchain to boost efficiency and engagement. RPA is automating repetitive tasks, such as data entry and compliance checks, freeing up staff for higher-value work. CIMB in Malaysia reports seeing a 35-50% productivity increase thanks to RPA. Blockchain is being explored for secure, transparent transactions, especially cross-border payments. The Asian Development Bank successfully trialled blockchain for faster, safer bond settlements. While AR and VR are still emerging in banking, they offer potential for enhanced customer engagement. Banks are experimenting with immersive experiences like virtual branch visits and interactive financial education tools.
The convergence of these emerging technologies will drive innovation and meet the rising demand for seamless, secure, and personalised banking services in the digital age. This is particularly true for banks that have the foresight to future-proof their tech foundation as part of their ongoing modernisation efforts. Emerging technologies offer exciting opportunities to enhance customer engagement, but they shouldn’t be used merely as marketing gimmicks. The focus must be on delivering tangible benefits that improve customer outcomes.
#3 Greater Banking-Fintech Collaboration
The digital payments landscape in Southeast Asia is experiencing rapid growth, with a projected 10% increase between 2024-2028. Digital wallets and contactless payments are becoming the norm, and platforms like GrabPay, GoPay, and ShopeePay are dominating the market. These platforms not only offer convenience but also enhance financial inclusion by reaching underbanked populations in remote areas.
The rise of digital payments has significantly impacted traditional banks. To remain relevant in this increasingly cashless society, banks are collaborating with fintech companies to integrate digital payment solutions into their services. For instance, Indonesia’s Bank Mandiri collaborated with digital credit services provider Kredivo to provide customers with access to affordable and convenient credit options.
Partnerships between traditional banks and fintechs are essential for staying competitive in the digital age, especially in areas like digital payments, data analytics, and customer experience.
While these collaborations offer opportunities, they also pose challenges. Banks must invest in advanced fraud detection, AI monitoring, and robust authentication to secure digital payments. Once banks adopt a mindset of collaboration with innovators, they can leverage numerous innovations in the cybersecurity space to address these challenges.
#4 Agile Infrastructure for an Agile Business
While the banking industry is considered a pioneer in implementing digital technologies, its approach to cloud has been more cautious. While interest remained high, balancing security and regulatory concerns with cloud agility impacted the pace. Hybrid multi-cloud environments has accelerated banking cloud adoption.
Leveraging public and private clouds optimises IT costs, offering flexibility and scalability for changing business needs. Hybrid cloud allows resource adjustments for peak demand or cost reductions off-peak. Access to cloud-native services accelerates innovation, enabling rapid application development and improved competitiveness. As the industry adopts GenAI, it requires infrastructure capable of handling vast data, massive computing power, advanced security, and rapid scalability – all strengths of hybrid cloud.
Replicating critical applications and data across multiple locations ensures disaster recovery and business continuity. A multi-cloud strategy also helps avoid vendor lock-in, diversifies cloud providers, and reduces exposure to outages.
Hybrid cloud adoption offers benefits but also presents challenges for banks. Managing the environment is complex, needing coordination across platforms and skilled personnel. Ensuring data security and compliance across on-prem and public cloud infrastructure is demanding, requiring robust measures. Network latency and performance issues can arise, making careful design and optimisation crucial. Integrating on-prem systems with public cloud services is time-consuming and needs investment in tools and expertise.
#5 Cyber Measures to Promote Customer & Stakeholder Trust
The banking sector is undergoing rapid AI-driven digital transformation, focusing on areas like digital customer experiences, fraud detection, and risk assessment. However, this shift also increases cybersecurity risks, with the majority of banking technology leaders anticipate inevitable data breaches and outages.
Key challenges include expanding technology use, such as cloud adoption and AI integration, and employee-related vulnerabilities like phishing. Banks in Southeast Asia are investing heavily in modernising infrastructure, software, and cybersecurity.
Banks must update cybersecurity strategies to detect threats early, minimise damage, and prevent lateral movement within networks.
Employee training, clear security policies, and a culture of security consciousness are critical in preventing breaches.
Regulatory compliance remains a significant concern, but banks are encouraged to move beyond compliance checklists and adopt risk-based, intelligence-led strategies. AI will play a key role in automating compliance and enhancing Security Operations Centres (SOCs), allowing for faster threat detection and response. Ultimately, the BFSI sector must prioritise cybersecurity continuously based on risk, rather than solely on regulatory demands.
Breaking Down Barriers: The Role of Collaboration in Banking Transformation
Successful banking transformation hinges on a seamless collaboration between technology and business teams. By aligning strategies, fostering open communication, and encouraging cross-functional cooperation, banks can effectively leverage emerging technologies to drive innovation, enhance customer experience, and improve efficiency.
A prime example of the power of collaboration is the success of AI initiatives in addressing specific business challenges.
This user-centric approach ensures that technology addresses real business needs.
By fostering a culture of collaboration, banks can promote continuous learning, idea sharing, and innovation, ultimately driving successful transformation and long-term growth in the competitive digital landscape.
At a recently held Ecosystm roundtable, in partnership with Qlik and 121Connects, Ecosystm Principal Advisor Manoj Chugh, moderated a conversation where Indian tech and data leaders discussed building trust in data strategies. They explored ways to automate data pipelines and improve governance to drive better decisions and business outcomes. Here are the key takeaways from the session.
Data isn’t just a byproduct anymore; it’s the lifeblood of modern businesses, fuelling informed decisions and strategic growth. But with vast amounts of data, the challenge isn’t just managing it; it’s building trust. AI, once a beacon of hope, is now at risk without a reliable data foundation. Ecosystm research reveals that a staggering 66% of Indian tech leaders doubt their organisation’s data quality, and the problem of data silos is exacerbating this trust crisis.
At the Leaders Roundtable in Mumbai, I had the opportunity to moderate a discussion among data and digital leaders on the critical components of building trust in data and leveraging it to drive business value. The consensus was that building trust requires a comprehensive strategy that addresses the complexities of data management and positions the organisation for future success. Here are the key strategies that are essential for achieving these goals.
1. Adopting a Unified Data Approach
Organisations are facing a growing wave of complex workloads and business initiatives. To manage this expansion, IT teams are turning to multi-cloud, SaaS, and hybrid environments. However, this diverse landscape introduces new challenges, such as data silos, security vulnerabilities, and difficulties in ensuring interoperability between systems.
A unified data strategy is crucial to overcome these challenges. By ensuring platform consistency, robust security, and seamless data integration, organisations can simplify data management, enhance security, and align with business goals – driving informed decisions, innovation, and long-term success.
Real-time data integration is essential for timely data availability, enabling organisations to make data-driven decisions quickly and effectively. By integrating data from various sources in real-time, businesses can gain valuable insights into their operations, identify trends, and respond to changing market conditions.
Organisations that are able to integrate their IT and operational technology (OT) systems find their data accuracy increasing. By combining IT’s digital data management expertise with OT’s real-time operational insights, organisations can ensure more accurate, timely, and actionable data. This integration enables continuous monitoring and analysis of operational data, leading to faster identification of errors, more precise decision-making, and optimised processes.
2. Enhancing Data Quality with Automation and Collaboration
As the volume and complexity of data continue to grow, ensuring high data quality is essential for organisations to make accurate decisions and to drive trust in data-driven solutions. Automated data quality tools are useful for cleansing and standardising data to eliminate errors and inconsistencies.
As mentioned earlier, integrating IT and OT systems can help organisations improve operational efficiency and resilience. By leveraging data-driven insights, businesses can identify bottlenecks, optimise workflows, and proactively address potential issues before they escalate. This can lead to cost savings, increased productivity, and improved customer satisfaction.
However, while automation technologies can help, organisations must also invest in training employees in data management, data visualisation, and data governance.
3. Modernising Data Infrastructure for Agility and Innovation
In today’s fast-paced business landscape, agility is paramount. Modernising data infrastructure is essential to remain competitive – the right digital infrastructure focuses on optimising costs, boosting capacity and agility, and maximising data leverage, all while safeguarding the organisation from cyber threats. This involves migrating data lakes and warehouses to cloud platforms and adopting advanced analytics tools. However, modernisation efforts must be aligned with specific business goals, such as enhancing customer experiences, optimising operations, or driving innovation. A well-modernised data environment not only improves agility but also lays the foundation for future innovations.
Technology leaders must assess whether their data architecture supports the organisation’s evolving data requirements, considering factors such as data flows, necessary management systems, processing operations, and AI applications. The ideal data architecture should be tailored to the organisation’s specific needs, considering current and future data demands, available skills, costs, and scalability.
4. Strengthening Data Governance with a Structured Approach
Data governance is crucial for establishing trust in data, and providing a framework to manage its quality, integrity, and security throughout its lifecycle. By setting clear policies and processes, organisations can build confidence in their data, support informed decision-making, and foster stakeholder trust.
A key component of data governance is data lineage – the ability to trace the history and transformation of data from its source to its final use. Understanding this journey helps organisations verify data accuracy and integrity, ensure compliance with regulatory requirements and internal policies, improve data quality by proactively addressing issues, and enhance decision-making through context and transparency.
A tiered data governance structure, with strategic oversight at the executive level and operational tasks managed by dedicated data governance councils, ensures that data governance aligns with broader organisational goals and is implemented effectively.
Are You Ready for the Future of AI?
The ultimate goal of your data management and discovery mechanisms is to ensure that you are advancing at pace with the industry. The analytics landscape is undergoing a profound transformation, promising to revolutionise how organisations interact with data. A key innovation, the data fabric, is enabling organisations to analyse unstructured data, where the true value often lies, resulting in cleaner and more reliable data models.
GenAI has emerged as another game-changer, empowering employees across the organisation to become citizen data scientists. This democratisation of data analytics allows for a broader range of insights and fosters a more data-driven culture. Organisations can leverage GenAI to automate tasks, generate new ideas, and uncover hidden patterns in their data.
The shift from traditional dashboards to real-time conversational tools is also reshaping how data insights are delivered and acted upon. These tools enable users to ask questions in natural language, receiving immediate and relevant answers based on the underlying data. This conversational approach makes data more accessible and actionable, empowering employees to make data-driven decisions at all levels of the organisation.
To fully capitalise on these advancements, organisations need to reassess their AI/ML strategies. By ensuring that their tech initiatives align with their broader business objectives and deliver tangible returns on investment, organisations can unlock the full potential of data-driven insights and gain a competitive edge. It is equally important to build trust in AI initiatives, through a strong data foundation. This involves ensuring data quality, accuracy, and consistency, as well as implementing robust data governance practices. A solid data foundation provides the necessary groundwork for AI and GenAI models to deliver reliable and valuable insights.
Ecosystm research shows that customer engagement is emerging as the main beneficiary of AI implementations in Malaysia with 44% of AI investments being led by CX/Marketing/Sales teams.
Explore the key trends that are transforming the Malaysian technology landscape and stay tuned for more data-backed insights on Southeast Asia’s tech markets.
In November 2021 Ecosystm had said: “With their global expansion plans and targeted offerings to help enterprises achieve their transformation goals, Oracle is positioned well to claim a larger share of the cloud market. Their strength lies in the enterprise market, and their cloud offerings should see them firmly entrenched in that segment.”
At the recently held Oracle CloudWorld Tour in Singapore, Oracle showcased their momentum in the enterprise segment first-hand. There are a number of reasons for this, and the customer and partner testimonials made it clear that Oracle’s vision is firmly aligned to what their customers require in the Asia Pacific region.
Read on to find out what Ecosystm Advisors Darian Bird, Sash Mukherjee, Tim Sheedy and Ullrich Loeffler say about the announcements and messaging during the session.
Download “Ecosystm VendorSphere: Oracle CloudWorld Tour Singapore” as a PDF
Southeast Asia has evolved into an innovation hub with Singapore at the centre. The entrepreneurial and startup ecosystem has grown significantly across the region – for example, Indonesia now has the 5th largest number of startups in the world.
Organisations in the region are demonstrating a strong desire for tech-led innovation, innovation in experience delivery, and in evolving their business models to bring innovative products and services to market.
Here are 5 insights on the patterns of technology adoption in Southeast Asia, based on the findings of the Ecosystm Digital Enterprise Study, 2022.
- Data and AI investments are closely linked to business outcomes. There is a clear alignment between technology and business.
- Technology teams want better control of their infrastructure. Technology modernisation also focuses on data centre consolidation and cloud strategy
- Organisations are opting for a hybrid multicloud approach. They are not necessarily doing away with a ‘cloud first’ approach – but they have become more agnostic to where data is hosted.
- Cybersecurity underpins tech investments. Many organisations in the region do not have the maturity to handle the evolving threat landscape – and they are aware of it.
- Sustainability is an emerging focus area. While more effort needs to go in to formalise these initiatives, organisations are responding to market drivers.
More insights into the Southeast Asia tech market below.
Click here to download The Future of the Digital Enterprise – Southeast Asia as a PDF
Digital transformation has been a key company objective over the last two years – and more than a third of enterprises in ASEAN have it as their key business priority in 2022-23. They are aiming to be agile and digital organisations – with access to real-time data insights at their core.
Businesses have learned that their technology systems need to be scalable, accessible, easy to manage, fast to deploy and cost effective. Cloud infrastructure, platforms and software has become key enablers of business agility and innovation.
But the expansion of cloud applications has also seen an infrastructure and applications sprawl – which makes it essential for organisation to re-evaluate their cloud strategy.
Here are 5 insights that will help you shape your Cloud Strategy.
- Technology Change Management. Your cloud strategy must define the infrastructure and data architecture, security and resiliency measures, the technology environment management model, and IT operations.
- Building Scalable Enterprises. Focus on seamless access to all organisational data, irrespective of where they are generated (enterprise systems, IoT devices or AI solutions) and where they are stored (public cloud, on-premises, Edge, or co-location facilities).
- A Hybrid Multicloud Environment. For a successful hybrid multi cloud environment, keep a firm eye on hybrid cloud management, a suitable FinOps framework that balances performance and cost, and integration.
- A Technology-Neutral Approach. Partnering with a technology-neutral cloud services provider that leverages the entire tech ecosystem, will be critical.
- “Hybrid Cloud” Can Mean Many Things. Work with a cloud services partner, that has broad and deep capabilities across multiple hyperscalers and is able to address the unique requirements of your organisation.
Read on for more insights
Download 5 Key Insights to Shape Your Cloud Strategy – An ASEAN View as a PDF
The first impact of the pandemic and the disruption it caused, was organisations scrambling to empower their remote employees. Over the last 2 years, significant investments have been made on collaboration platforms and tools. Now organisations are having to work towards making these workplaces truly hybrid where organisations have to ensure that all employees get the same experience, irrespective of where they choose to work from.
In 2022, organisations will continue to invest in building the Digital Workplace and address the associated technology, people, and process challenges.
Read on to find out what Ecosystm Analysts, Audrey William, Tim Sheedy and Venu Reddy think will be the key trends for the Digital Workplace in 2022.
Click here to download Ecosystm Predicts: The Top 5 Trends for the Digital Workplace in 2022 as PDF
“Cloud is universal – everything is going to be on the cloud soon! If you are not moving to the cloud, you are going extinct! AWS, Microsoft and Google are going to rule the world!” This has been the hyped narrative for some time now. But watch out New World – the Old World is fighting back!
Traditional vendors like HP Enterprise, Cisco, and Oracle are all deploying strategies to remain relevant in the new world. For these vendors – especially for HPE and Cisco that come from a predominantly hardware background – the future is hybrid. They picture a world in which the data centre – either on-prem or in a co-located facility – thrives on, in tandem with the cloud. This is a reasonably good bet. For most large enterprises with a huge repository of applications and data sitting in the data centre, migrating everything to the cloud is a nightmare – fraught with risk and very expensive.
Ecosystm research shows that 32% of organisations have deployed containerisation – and this percentage will only grow. The ability for firms to toggle between data centre bare metal based applications and completely on-the-cloud ones is becoming more manageable by the day. This enormous flexibility allows a firm that has large compute needs to keep some stable workloads in a data centre, whether on-prem or co-located, while simultaneously using cloud-based workloads, optimising spends and performance.
Here is a glimpse into the strategies of three key vendors.
HPE’s ‘as-a-service’ Messaging is Spot on
Two years ago, Antonio Neri boldly went where no HPE CEO had gone before, promising that HPE’s entire portfolio would be available ‘as-a-service’ within 3 years. At the recently concluded HPE Discover event, there were a flurry of announcements to showcase that GreenLake is indeed on its way to meet that ambitious goal in 2022.
HPE’s recent announcements show customers that GreenLake is an end-to-end solution for managing their IT infrastructure moving forward. It ticks all the boxes: providing flexibility and scalability; the advantage of using both data centre and cloud; and high manageability and security with a full suite of applications.
Examples are the partnership with Azure Stack HCI, to add to earlier ones with leading vendors like SAP, Citrix, and VMware. HPE is building a platform that provides customers with the comfort that they can adopt GreenLake and pretty much have access to any application they may choose to implement – offering full coverage from the Edge to the Cloud. It is extremely interesting that GreenLake allows the option of switching on and switching off processor cores as needed, and the customer pays based on usage. This is surely a first for the industry!
Another example is Lighthouse, which allows the customer to rapidly configure, and provision workloads based on dynamic needs. While all the hyperscalers provide similar services when the workload is on the cloud, Lighthouse allows the same flexibility and speed for cloud services which can be run in the data centre, on-prem, co-located, or even at the Edge.
A third example was the announcement of Project Aurora which will add an additional security layer from validating the input data all the way to verifying the workload at the start and then as it is running. It appears to use an AI/ML system that checks for unexpected behaviours to detect any kind of malware.
It makes good sense for HPE to push GreenLake and move to offering ‘everything-as-a-service’. As one of the incumbent enterprise hardware business leaders, this is a good response rather than to watch one’s business continue to shrink YoY. GreenLake is HPE’s way of futureproofing themselves and making sure they stay relevant in the new cloud world.
Cisco Secures the Hybrid Workplace
Cisco has been active launching Cisco Plus earlier this year, as their bridge to the as-a-service model with a network-as-a-service (NaaS) offering. Somewhat like GreenLake, Cisco Plus offers flexible consumption for compute, storage, and networking. They are committed to offering most of their portfolio as-a-service over time.
Cisco has shown some resilience in terms of revenue but has still been struggling to grow. After a steady growth since 2017, the revenues dropped by 7% in 2020 almost as a direct impact of COVID-19. The post-pandemic world has the potential of being a bigger threat for Cisco. Many estimates show the number of people working from home is likely to go up dramatically and Cisco’s key networking offering could rapidly become redundant. However, at Ecosystm we believe that the hybrid work model will be predominant.
Cisco is also betting on a hybrid world. No matter where one works from, there are networking needs. Cisco’s focus, therefore, is on security – this will be on the mind of virtually any enterprise as it chalks out its future strategy. With a hybrid environment, making everything secure becomes more complex while continuing to be vital. Cisco has a heavy emphasis on Secure Access Service Edge (SASE) – the idea that the security envelope now has to be a flexible form that has a presence everywhere that the enterprise needs to be. This will make a lot of sense to most enterprises as they tread the hybrid path.
Cisco will offer a portfolio of tools to make it increasingly easier for customers to use multi-cloud, multi-vendor environments, offering the best of both worlds.
Oracle Incentivises Cloud Migration
Oracle has a different approach because they are trying to solve a different problem. They are competing with the hyperscalers, while fully acknowledging a hybrid world. However, as a company with less legacy in hardware, it makes sense for them to focus on migrating to cloud rather than on hybridisation. Oracle has just announced that they will subsidise existing customers who add cloud workloads with them, by providing discounts on the existing licensing fees that the customer is paying Oracle. This discount appears to be around 25% to 33%. In essence, this means that if a customer spends about USD 100k with Oracle on licensing and decides to start moving workloads to the Oracle Cloud worth somewhere between USD 300-400k, they can potentially write off the entire license fees they are currently paying!
Conclusion
There is a strong effort from every vendor right now to retain and consolidate their customer share and build a vision that convinces the customer that they are the way to go. For the traditional hardware players that vision is of a hybrid world – attractive to today’s large enterprise. For the likes of AWS, Microsoft, Google, and Oracle it is all about moving the customer to their cloud. The assumption of course is that moving someone to your cloud will lead to more of your apps being used by the customer. For the hardware vendors like Cisco and HPE, it is all about moving the customer to their own platforms which empower hybridisation. In all cases, a necessary component is to offer ‘everything-as-a-service’ upending the traditional models of selling.
In my opinion, with time the IaaS portion of the cloud is likely to gradually devolve into something like a utility. There will be a lot of upheavals and market disruption before we get there, but eventually, software and other services are likely to stand separate from the infrastructure provider. All the vendors are therefore depending on capturing the customer at the platform-as-a-service (PaaS) level, but even this is likely to get commoditised over time. Eventually, the winners will be disparate providers of the best applications for different functions. Meanwhile, we are in for an extremely interesting ride as we see all the vendors jockeying for space!
Nutanix has emerged as a leading hyper converged infrastructure (HCI) provider and is partnering with public cloud infrastructure providers to bring greater value to its customers. Last week saw the partnership between Microsoft and Nutanix, aimed to evolve the hybrid offerings of both providers. As part of this collaboration, both companies will focus on extending Nutanix hybrid cloud infrastructure to Azure. The collaboration will include the development of Nutanix-ready nodes on Azure to support Nutanix Clusters and services. The benefits expected include improved cost, security, and efficiency. Clients will also be able to deploy Azure instances from Nutanix interface for a consistent experience across their cloud environment. The solution is aimed to eliminate re-tooling, re-architecting processes and other technical challenges of maintaining a hybrid environment.
Ecosystm Principal Advisor, Darian Bird says, “The announcement of Nutanix Clusters on Azure is another piece of the hybrid puzzle that will allow Nutanix clients to extend their private cloud environments into public infrastructure. Organisations want the control associated with a private cloud but with the flexibility to scale up and down in the public cloud. Key to hybrid cloud is an additional layer that enables applications to be shifted from one cloud to another, either to prevent lock-in or to choose the best environment depending on the circumstances.”
The deal will also broaden the sales and support experience for Microsoft and Nutanix. “Nutanix has emphasised licence portability as a key characteristic of its hybrid cloud strategy. Microsoft clients will be able to use Azure credits to pay for Nutanix software, while those already with Nutanix licences will be able to port those over to Clusters on Azure. Simplified cloud procurement will be critical for IT departments looking to optimise cloud expenditure across multiple providers.”
Bird adds, “Organisations will now be able to manage servers, containers, and data services on Nutanix HCI, on prem or in the cloud through a single control pane with Azure Arc. Microsoft has realised that producing a true hybrid cloud system requires it to manage as many types of infrastructure as possible, whether they come from niche partners or major competitors. IT departments want the choice of supplier without adding complexity to their systems.”
Nutanix Strengthening its Partner Ecosystem
“The partnership with Microsoft Azure comes only a month after Nutanix announced the general availability of Clusters on AWS. Considering Nutanix’s close connection to Google, it seems likely that it will also launch on the search giant’s cloud before long,” says Bird.
Last year, Nutanix partnered with HPE for the general availability of HPE’s integrated hybrid cloud as a service offering, HPE GreenLake for Nutanix, and the HPE ProLiant DX solution.
Earlier in the month, Nutanix launched its global partner multi-cloud program – Elevate – to bring Nutanix’s global partner ecosystem under one integrated architecture managed through consistent tools, resources and platforms, to accelerate their clients’ multi-product, multicloud roadmap in their transformation journeys.
“Nutanix has made great strides in its shift from hardware vendor to HCI provider and it’s now focused on delivering tools that enable the shift to cloud. These recent moves will help Nutanix catch up to VMware and become a viable alternative in a hybrid cloud environment,” says Bird.