Prepare for an Explosion in IT Services Spend

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2024 and 2025 are looking good for IT services providers – particularly in Asia Pacific. All types of providers – from IT consultants to managed services VARs and systems integrators – will benefit from a few converging events.

However, amidst increasing demand, service providers are also challenged with cost control measures imposed in organisations – and this is heightened by the challenge of finding and retaining their best people as competition for skills intensifies. Providers that service mid-market clients might find it hard to compete and grow without significant process automation to compensate for the higher employee costs.

Why Organisations are Opting for IT Service

Choosing the Right Cost Model for IT Services

Buyers of IT services must implement strict cost-control measures and consider various approaches to align costs with business and customer outcomes, including different cost models:

Fixed-Price Contracts. These contracts set a firm price for the entire project or specific deliverables. Ideal when project scope is clear, they offer budget certainty upfront but demand detailed specifications, potentially leading to higher initial quotes due to the provider assuming more risk.

Time and Materials (T&M) Contracts with Caps. Payment is based on actual time and materials used, with negotiated caps to prevent budget overruns. Combining flexibility with cost predictability, this model offers some control over total expenses.

Performance-Based Pricing. Fees are tied to service provider performance, incentivising achievement of specific KPIs or milestones. This aligns provider interests with client goals, potentially resulting in cost savings and improved service quality.

Retainer Agreements with Scope Limits. Recurring fees are paid for ongoing services, with defined limits on work scope or hours within a given period. This arrangement ensures resource availability while containing expenses, particularly suitable for ongoing support services.

Other Strategies for Cost Efficiency and Effective Management

Technology leaders should also consider implementing some of the following strategies:

Phased Payments. Structuring payments in phases, tied to the completion of project milestones, helps manage cash flow and provides a financial incentive for the service provider to meet deadlines and deliverables. It also allows for regular financial reviews and adjustments if the project scope changes.

Cost Transparency and Itemisation. Detailed billing that itemises the costs of labour, materials, and other expenses provides transparency to verify charges, track spending against the budget, and identify areas for potential savings.

Volume Discounts and Negotiated Rates. Negotiating volume discounts or preferential rates for long-term or large-scale engagements, makes providers to offer reduced rates for a commitment to a certain volume of work or an extended contract duration.

Utilisation of Shared Services or Cloud Solutions. Opting for shared or cloud-based solutions where feasible, offers economies of scale and reduces the need for expensive, dedicated infrastructure and resources.

Regular Review and Adjustment. Conducting regular reviews of the services and expenses with the provider to ensure alignment with the budget and objectives, prepares organisations to adjust the scope, renegotiate terms, or implement cost-saving measures as needed.

Exit Strategy. Planning an exit strategy that include provisions for contract termination, transition services, protects an organisation in case the partnership needs to be dissolved.

Conclusion

Many businesses swing between insourcing and outsourcing technology capabilities – with the recent trend moving towards insourcing development and outsourcing infrastructure to the public cloud. But 2024 will see demand for all types of IT services across nearly every geography and industry. Tech services providers can bring significant value to your business – but improved management, monitoring, and governance will ensure that this value is delivered at a fair cost.

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Building an Agile & Resilient Organisation: Top 5 Trends in 2024​

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While the discussions have centred around AI, particularly Generative AI in 2023, the influence of AI innovations is extensive. Organisations will urgently need to re-examine their risk strategies, particularly in cyber and resilience practices. They will also reassess their infrastructure needs, optimise applications for AI, and re-evaluate their skills requirements.​

Top 5 Resilience Trends in 2024: Shift in Technology Priorities 2024 vs. 2023

This impacts the entire tech market, including tech skills, market opportunities, and innovations. 

Ecosystm analysts Alea Fairchild, Darian Bird, Richard Wilkins, and Tim Sheedy present the top 5 trends in building an Agile & Resilient Organisation in 2024.  

Click here to download ‘Ecosystm Predicts: Top 5 Resilience Trends in 2024’ as a PDF.​

#1 Gen AI Will See Spike in Infrastructure Innovation​​

Enterprises considering the adoption of Generative AI are evaluating cloud-based solutions versus on-premises solutions. Cloud-based options present an advantage in terms of simplified integration, but raise concerns over the management of training data, potentially resulting in AI-generated hallucinations. On-premises alternatives offer enhanced control and data security but encounter obstacles due to the unexpectedly high demands of GPU computing needed for inferencing, impeding widespread implementation. To overcome this, there’s a need for hardware innovation to meet Generative AI demands, ensuring scalable on-premises deployments. ​

The collaboration between hardware development and AI innovation is crucial to unleash the full potential of Generative AI and drive enterprise adoption in the AI ecosystem. ​

Striking the right balance between cloud-based flexibility and on-premises control is pivotal, with considerations like data control, privacy, scalability, compliance, and operational requirements. 

Top 5 Resilience Trends in 2024: Gen AI Will See Spike in Infrastructure Innovation

#2 Cloud Migrations Will Make Way for Cloud Transformations

The steady move to the public cloud has slowed down. Organisations – particularly those in mature economies – now prioritise cloud efficiencies, having largely completed most of their application migration. The “easy” workloads have moved to the cloud – either through lift-and-shift, SaaS, or simple replatforming.​

New skills will be needed as organisations adopt public and hybrid cloud for their entire application and workload portfolio.​

  • Cloud-native development frameworks like Spring Boot and ASP.NET Core make it easier to develop cloud-native applications​
  • Cloud-native databases like MongoDB and Cassandra are designed for the cloud and offer scalability, performance, and reliability​
  • Cloud-native storage like Snowflake, Amazon S3 and Google Cloud Storage provides secure and scalable storage​
  • Cloud-native messaging like Amazon SNS and Google Cloud Pub/Sub provide reliable and scalable communication between different parts of the cloud-native application 
Top 5 Resilience Trends in 2024: Cloud Migrations Will Make Way for Cloud Transformations

#3 2024 Will be a Good Year for Technology Services Providers 

Several changes are set to fuel the growth of tech services providers (systems integrators, consultants, and managed services providers). ​

There will be a return of “big apps” projects in 2024

Companies are embarking on significant updates for their SAP, Oracle, and other large ERP, CRM, SCM, and HRM platforms. Whether moving to the cloud or staying on-premises, these upgrades will generate substantial activity for tech services providers.​

The migration of complex apps to the cloud involves significant refactoring and rearchitecting, presenting substantial opportunities for managed services providers to transform and modernise these applications beyond traditional “lift-and-shift” activities.​

The dynamic tech landscape, marked by AI growth, evolving security threats, and constant releases of new cloud services, has led to a shortage of modern tech skills. Despite a more relaxed job market, organisations will increasingly turn to their tech services partners, whether onshore or offshore, to fill crucial skill gaps.​

Top 5 Resilience Trends in 2024: A Good Year for Technology Services Providers

#4 Gen AI and Maturing Deepfakes Will Democratise Phishing

As with any emerging technology, malicious actors will be among the fastest to exploit Generative AI for their own purposes. The most immediate application will be employing widely available LLMs to generate convincing text and images for their phishing schemes. For many potential victims, misspellings and strangely worded appeals are the only hints that an email from their bank, courier, or colleague is not what it seems. The ability to create professional-sounding prose in any language and a variety of tones will unfortunately democratise phishing. ​

The emergence of Generative AI combined with the maturing of deepfake technology will make it possible for malicious agents to create personalised voice and video attacks. Digital channels for communication and entertainment will be stretched to differentiate between real and fake.​

Security training that underscores the threat of more polished and personalised phishing is a must. 

Top 5 Resilience Trends in 2024: Gen AI and Maturing Deepfakes Will Democratise Phishing

#5 A Holistic Approach to Risk and Operational Resilience Will Drive Adoption of VMaaS

Vulnerability management is a continuous, proactive approach to managing system security. It not only involves vulnerability assessments but also includes developing and implementing strategies to address these vulnerabilities. This is where Vulnerability Management Platforms (VMPs) become table stakes for small and medium enterprises (SMEs) as they are often perceived as “easier targets” by cybercriminals due to potentially lesser investments in security measures. ​

Vulnerability Management as a Service (VMaaS) – a third-party service that manages and controls threats to automate vulnerability response to remediate faster – can improve the asset cybersecurity management and let SMEs focus on their core activities.  ​

In-house security teams will particularly value the flexibility and customisation of dashboards and reports that give them enhanced visibility over all assets and vulnerabilities.

Top 5 Resilience Trends in 2024: A Holistic Approach to Risk and Operational Resilience Will Drive Adoption of VMaaS
Ecosystm Predicts 2024
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Ecosystm Snapshot: Kyndryl and Nokia Forge a Private 5G Partnership

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Since officially separating from IBM in November last year, Kyndryl has been busy cementing some heavyweight partnerships. The alliances with Microsoft, Google, and VMware demonstrate its intention to build hybrid cloud solutions with whoever it needs to, rather than favouring the Big Blue or Red Hat. The SAP tie-up hints at a future of migrating ERP workloads to the cloud and even an eye on moving up the application stack. Last week Kyndryl announced it is working with Nokia to provide private 5G and LTE networks to enable Industry 4.0 solutions. The first customer reference for the partnership is Dow, deploying both real-world and proof-of-concept applications for worker safety and collaboration and asset tracking.

The Partnership

Kyndryl has a competitive networking services unit, particularly in partnership with Cisco. Its focus has been on SD-WAN, campus networks, and network management as part of broader cloud services deals. This 5G partnership with Nokia is its first serious effort to work with one of the major carrier-grade vendors using cellular technology. It creates an opportunity for Kyndryl to position itself as a provider of services that underpin IoT and edge applications, rather than only cloud, which has until now been its main strength.

Prior to the Kyndryl announcement, Nokia was already developing private 5G solutions under the moniker Digital Automation Cloud (DAC). A key customer is Volkswagen, using the network to connect robots and wireless assembly tools. Over-the-air vehicle updates are also tested over the private network. Volkswagen operates in a dedicated 3.7-3.8 GHz band, which was allocated by the Federal Network Agency in Germany. This illustrates a third option for accessing spectrum, which will become an important consideration in private 5G rollouts.

Private 5G Use Cases

Private 5G has several benefits such as low latency, long-range, support for many users per access point, and provision for devices that are mobile due to handover. It is unlikely that it will completely replace other technologies, like wireless LAN, but it is very compelling for certain use cases.

Private 5G is useful on large sites, like mines, ports, farms, and warehouses where connected machines are moving about or some devices – like perimeter security cameras – are just out of reach. Utilities, like power, gas, and water, with infrastructure that needs to be monitored over long distances, will also start looking at it as a part of their predictive maintenance and resiliency systems. Low latency will become increasingly important as we see more and more customer-facing digital services delivered on-site and autonomous robots in the production environment.

Another major benefit of private 5G compared to operating on public service is that data can remain within the organisation’s own network for as long as possible, providing more security and control.

Private 5G Gaining Popularity

There has been a lot of activity over the last year in this space, with the hyperscalers, telecom providers and network equipment vendors developing private 5G offerings.

Last year, the AWS Private 5G was announced, a managed service that includes core network hardware, small-cell radio units, SIM cards, servers, and software. The service operates over a shared spectrum, like the Citizens Broadband Radio Service (CBRS) in the US, where the initial preview will be available. CBRS is considered a lightly licenced band. This builds on AWS’s private multi-access edge compute (MEC) solution, released in conjunction with Verizon to integrate AWS Outposts with private 5G operating in licenced spectrum. A customer reference highlighted was low latency, high throughput analysis of video feeds from manufacturing robots at Corning.

Similarly, Microsoft launched a private MEC offering last year, a cloud and software stack designed for operators, systems integrators, and ISVs to deploy private 5G solutions. The system is built up of components from Azure and its acquisition of Metaswitch. AT&T is an early partner bringing a solution to the market built on Microsoft’s technology and the operator’s licenced spectrum. Microsoft highlighted use cases such as asset tracking in logistics, factory operations in manufacturing, and experiments with AI-infused video analytics to improve worker safety.

The Future

Organisations are likely to begin testing private 5G this year for Industry 4.0 applications, either at single sites in the case of factories or in select geographic areas for Utilities. Early applications will mostly focus on simple connectivity for mobile machines or remote equipment. In the longer term, however, the benefits of private 5G will become more apparent as AI applications, such as video analysis and autonomous machines become more prevalent. This will require the full ecosystem of players, including telecom providers, network vendors, cloud hyperscalers, systems integrators, and IoT providers.

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BHP’s Dual Cloud Digital Transformation Strategy

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BHP – the multinational mining giant – has signed agreements with AWS and Microsoft Azure as their long-term cloud providers to support their digital transformation journey. This move is expected to accelerate BHP’s cloud journey, helping them deploy and scale their digital operations to the workforce quickly while reducing the need for on-premises infrastructure.  

Ecosystm research has consistently shown that many large organisations are using the learnings from how the COVID-19 pandemic impacted their business to re-evaluate their Digital Transformation strategy – leveraging next generation cloud, machine learning and data analytics capabilities.

BHP’s Dual Cloud Strategy

BHP is set to use AWS’s analytics, machine learning, storage and compute platform to deploy digital services and improve operational performance. They will also launch an AWS Cloud Academy Program to train and upskill their employees on AWS cloud skills –  joining other Australian companies supporting their digital workforce by forming cloud guilds such as National Australia Bank, Telstra and Kmart Group.

Meanwhile, BHP will use Microsoft’s Azure cloud platform to host their global applications portfolio including SAP S/4 HANA environment. This is expected to enable BHP to reduce their reliance on regional data centres and leverage Microsoft’s cloud environment, licenses and SAP applications. The deal extends their existing relationship with Microsoft where BHP is using  Office 365, Dynamics 365 and HoloLens 2 platforms to support their productivity and remote operations.

Ecosystm principal Advisor, Alan Hesketh says, “This dual sourcing is likely to achieve cost benefits for BHP from a competitive negotiation stand-point, and positions BHP well to negotiate further improvements in the future. With their scale, BHP has negotiating power that most cloud service customers cannot achieve – although an effective competitive process is likely to offer tech buyers some improvements in pricing.”

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Can this Strategy Work for You?

Hesketh thinks that the split between Microsoft for Operations and AWS for Analytics will provide some interesting challenges for BHP. “It is likely that high volumes of data will need to be moved between the two platforms, particularly from Operations to Analytics and AI. The trend is to run time-critical analytics directly from the operational systems using the power of in-memory databases and the scalable cloud platform.”

“As BHP states, using the cloud reduces the need to put hardware on-premises, and allows the faster deployment of digital innovations from these cloud platforms. While achieving technical and cost improvements in their Operations and Analytics domains, it may compromise the user experience (UX). The UX delivered by the two clouds is quite different – so delivering an integrated experience is likely to require an additional layer that is capable of delivering a consistent UX. BHP already has a strong network infrastructure in place, so they are likely to achieve this within their existing platforms. If there is a need to build this UX layer, it is likely to reduce the speed of deployment that BHP is targeting with the dual cloud procurement approach.”

Many businesses that have previously preferred a single cloud vendor will find that they will increasingly evaluate multiple cloud environments, in the future. The adoption of modern development environments and architectures such as containers, microservices, open-source, and DevOps will help them run their applications and processes on the most suitable cloud option.

While this strategy may well work for BHP, Hesketh adds, “Tech buyers considering a hybrid approach to cloud deployment need to have robust enterprise and technology architectures in place to make sure the users get the experience they need to support their roles.”

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Ecosystm RNx: Top 10 Global AI & Automation Vendor Rankings

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Hitachi Acquires GlobalLogic

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Hitachi announced their plans to acquire US based software development company GlobalLogic for an estimated USD 9.6 billion, including debt repayment. The transaction is expected to close by end of July, after which GlobalLogic will function under Hitachi’s Global Digital Holdings.

GlobalLogic was founded in 2000, and the Canada Pension Plan Investment Board and Swiss investment firm Partners Group have 45% of ownership; with the remainder owned by the company’s management.

Hitachi’s Business Portfolio Expansion

The acquisition of GlobalLogic is a part of Hitachi’s move to focus and extend the range of Hitachi’s digital services business. As Hitachi aims to expand from electronics hardware to concentrate on digital services, they are looking to benefit from GlobalLogic’s range of expertise – from chips to cloud services. Silicon Valley-based GlobalLogic has a presence in 14 countries with more than 20,000 employees and 400 active clients in industries including telecommunications, healthcare, technology, finance and automotive. This will also expand Hitachi’s network outside Japan by providing them access to a global customer base and will boost their software and solutions platforms, including Hitachi IoT portfolio and data analytics.

The GlobalLogic deal follows another big acquisition of ABB’s power grid business by Hitachi in July 2020 to focus on clean energy and distributed energy frontiers. This makes Hitachi one of the largest global grid equipment and service providers in all regions.

Hitachi is also planning to divest parts of their portfolio such as Hitachi Metals, their chemical unit and their medical equipment business.

Ecosystm Comments

Hitachi’s move to acquire GlobalLogic is very interesting and is in line with the growing trend of global Operation Technology (OT) vendors riding the wave of Industry 4.0 and ‘Product as a Service’ models – essentially, to move up the margin ladder with more digital services added on to their already established equipment business. Siemens, Schneider Electric, Panasonic, ABB, Hitachi and Johnson Controls are some of the prominent vendors who have taken pole positions in their respective industry domains, in this race to digitally transform their businesses and business models. Last year, Panasonic made a very similar move, taking a 20% equity stake in Blue Yonder, a leading supply chain software provider.

With rapid advancements in computing and communications (5G), it is now possible to converge the IT (Information Technology supporting enterprise information flows), the OT (Operational Technology – machine level control of the physical equipment), and the ET (Engineering Technology in the Product Design and Development space such as CAD, CAM, PDM etc.) domains. Three worlds that were separate till now. The convergence of these three worlds enables high impact use cases in automation, product, process, and business model innovation in almost all sectors, such as autonomous vehicles, energy efficient buildings, asset tracking and monitoring, and predictive and prescriptive maintenance. For the OT vendors therefore, it becomes critical to acquire IT and ET capabilities to become successful in the new cyber physical world. Most OT vendors are choosing to acquire these capabilities through strategic partnerships (such as Siemens with Atos and SAP; Panasonic with Blue Yonder) or acquisitions (such as Hitachi and GlobalLogic) rather than develop such capabilities organically in completely new domains.


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Ecosystm Predicts: The Top 5 Cloud Trends for 2021

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As organisations stride towards digitalisation, re-evaluating their business continuity plans and defining how the Future of Work will look for them, cloud adoption is expected to surge. Almost all technologies being evaluated by organisations today have cloud as their pillar. Cloud will the key enabler for ease of doing business, real-time data access for productivity increase, and process automation.

Ecosystm Advisors Claus Mortensen, Darian Bird and Tim Sheedy present the top 5 Ecosystm predictions for Cloud Trends in 2021. This is a summary of our cloud predictions – the full report (including the implications) is available to download for free on the Ecosystm platform here.

 The Top 5 Cloud Trends for 2021

  1. 2021 Will be All About SaaS

2020 was a breakout year for SaaS providers – and a tough one for a lot of on-premises software vendors. SaaS (or mainly SaaS) providers like Salesforce, Zoom, Microsoft had record growth and some of the best quarters in their history, while other mainly on-premises software providers have had poor quarters. SAP is even accelerating the transition to a 100% cloud-based business as their revenue suffers. The race to deploy SaaS tools and platforms is well and truly happening. Many of the usual ROI models and business cases have been abandoned as the need for agility – to drive business change at pace trumps most other business needs. Ecosystm data validates this

This trend will continue in 2021 – in fact, we expect it to accelerate. Most SaaS solutions (such as CRM, ERP, SCM, HRM etc.) are implemented by less than 30% of businesses today – which means the upside for the SaaS providers is huge.

  1. Hybrid Cloud Will Finally Become Mainstream

The sudden move to remote working in 2020 forced most organisations to increase their use and reliance on cloud-based applications. Employees have relied on collaborative tools such as Zoom, Microsoft Teams and WebEx to conduct virtual meetings, call centre workers had to respond to calls from home – most if not all relying on cloud-based apps and platforms. This trend is set to continue going forward. Ecosystm research finds that 44% of organisations will spend more on cloud-based collaboration tools in the next 6-12 months.

But the forced adoption of these tools has also prompted many – especially larger organisations – to worry about losing control of their IT resources, including worries related to security and compliance, cost, and reliability. As for the latter, both Microsoft Azure and Zoom experienced outages after the pandemic hit and this has made many organisations wary of relying too much on a single public cloud platform. Ecosystm therefore expects a sharp increase in focus on hybrid cloud platforms in 2021 as IT Teams seek to regain control of the apps and services their employees rely the most upon.

  1. Carrier Investment in 5G Will Give Edge Computing a Boost

The gap between the hype around edge computing and the actual capabilities it offers will narrow in 2021 as 5G networks are built out. One of the most promising methods of deploying edge computing involves carriers embedding cloud capacity in their own data centres connected to their 5G networks. This ensures data does not unnecessarily leave the network, reducing latency and preserving bandwidth. This combination of 5G and the Edge will be of particular benefit to applications that until now have faced a trade-off between mobility and connectivity. Over the last twelve months, the major hyperscalers announced their 5G edge computing offerings, and some of the major global telecom providers have served as test cases by partnering with at least one hyperscaler and will likely add more over the next year. Expect this ecosystem to expand greatly in 2021.

Cloud environments can benefit from pushing computing-heavy workloads to the Edge in much the same way as IoT and provides a great platform for managing the edge computing endpoints. The flipside of pushing containers to the Edge will be the increased complexity and the fact that the number of attack surfaces will increase. Containerisation must therefore be deployed with security at its core.

  1. Stateful Applications Will Move to the Cloud with Containers and Orchestration

As organisations seek to migrate workloads and applications between platforms in an increasingly hybrid cloud environment, the need for “lifting and shifting”, refactoring and partitioning applications will increase. These approaches all have their shortcomings, however. Lifting and shifting an application may limit its functionality now or in the future; refactoring may take too long or be too costly; and partitioning is often not feasible or possible. A better approach to this task is to modernise the applications to make use of application containers like Docker, Windows Server Containers, Linux VServer and so on, to enable a faster and more seamless way to migrate applications between platforms. We also see container orchestration environments like Kubernetes and containerised development and deployment platforms like IBM’s Cloud Paks.

How these technologies are used to deploy stateful applications in multicloud environments will evolve. A raft of container management platforms, based on Kubernetes, are being released to simplify what was once a complex DIY process. New entrants will look to challenge the cloud hyperscalers, virtualisation giants, and Kubernetes specialists. The emerging features that previously required cobbling together third-party tools, like service mesh, data fabric, and machine learning, will speed up containerisation of stateful core applications. The deployment of containers on bare metal rather than in virtualised environments will also gather pace. The most challenging task will be delivering containerised applications at the Edge, forcing developers and platform providers to create inventive solutions.

  1. Serverless will take us a step closer to NoOps

As the application lifecycle speeds up and the distinction between development and operations shrinks, the motivation to adopt serverless computing will grow in 2021. While NoOps, the concept that operations could become so automated that it fades into the background, is still a distant goal, serverless computing will make a stride in that direction by abstracting the application from the infrastructure. Having seen the agility benefits of a microservices architecture, many DevOps teams will experiment with breaking services down further into functions. Moreover, the pay-as-you-go model of serverless will appeal to OpEx driven organisations. Expect stories of bill shock, however, as were seen in the early days of cloud adoption. While AWS Lambda is currently considered the serverless industry standard, it is likely that in 2021, Microsoft, Google, and IBM will ramp up efforts in this space. Each of these providers will build out their offering in terms of languages supported, event triggers, consumption plans, machine learning/AI options, observability, and user experience.


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Ecosystm Predicts: The Top 5 AI & Automation Trends for 2021

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Ecosystm had predicted that in 2020, AI and analytics would be a top priority for organisations as they embarked or continued on their Digital Transformation journeys. What we saw instead was organisations collecting the right data – but handling more pressing matters this year. They focused more on cybersecurity frameworks, enabling remote employees and the shifts in product and service delivery. In 2021, as organisations work their way to recovery, they will re-evaluate their AI and automation roadmaps, more actively. Ecosystm Advisors Alea Fairchild, Andrew Milroy and Tim Sheedy present the top 5 Ecosystm predictions for AI & Automation in 2021.

This is a summary of the AI & Automation predictions, the full report (including the implications) is available to download for free on the Ecosystm platform here.

The Top 5 AI & Automation Trends for 2021

  1. AI Will Move from a Competitive Advantage to a Must-Have

The best practices and leading-edge technology-centric implementations, over the years gives a very good indication of market trends. In 2018 and 2019 AI-centric engagements were few and far between – they were still in the “innovation stage” as trials and small projects. In 2020, AI was mentioned in most applications, showcased as best practices. AI is currently a competitive advantage for businesses. CIOs and their businesses are using AI to get ahead of their competitors and highlighting these practices for external recognition.

That also means that it is a matter of time before AI becomes a standard practice – processes are smart “out-of-the-box”; intelligent applications are an expectation, not the exception; systems learn because that is how they were designed, not as an overlay. If your competitors are using AI today to get ahead of you, then you need to also use AI to catch up and keep up. In 2021, having a smart business will not get you ahead of the pack – it will move you into it.

  1. AI Will Thrive in Areas where the Cost of Failure is Low

While organisations will be forced to adopt AI to remain competitive, initial exploration of AI solutions will be in areas that they consider low risk. The Financial Services, Retail, and other transaction-oriented industries will use AI to drive improved personalisation, increase customer retention, and improve their ability to lower risk and combat fraud. These are process-driven areas, where manual processes are being enhanced and enriched by AI. Although machine learning and other AI technologies will help improve the speed and quality of services, they will not be a replacement for many of the more complex business practices that companies and their employees frequently overlook to automate. The ‘low hanging fruit’ to add AI to will come first, with various degrees of success.

There will be industries and processes where organisations will be more skeptical about adopting AI. If Google finds a wrong translation or gives a wrong link, it is not a big concern, unlike a wrong diagnosis or wrong medication. In areas that are crucial to our well-being – such as healthcare – AI does not yet have the trust for acceptance of society. There are still questions around ethics and algorithm concerns.

  1. Technology Providers Will Stop Talking about AI

Technology vendors highlight what they consider their key differentiators, that show that they are ahead of the game. When every piece of software and hardware is intelligent, vendors will stop talking about the fact that they are intelligent. This may not fully happen in 2021 – but ENOUGH technology will be intelligent for those who have not yet made their software smart to understand that they cannot talk about its intelligent capabilities as that just shows they are behind the market.

The good news is that the less we hear about AI, the more intelligent applications will become. AI is quickly becoming a core capability and a base expectation. Systems that learn and adapt will be standard very soon – but be wary, as significant market changes can break these systems! Many companies learned that the pandemic broke their algorithms as times were no longer “normal”.

  1. Enterprises Will Seek Hyperautomation Solutions

RPA will increasingly become part of large enterprise application implementations. Technology vendors are adding RPA functionality either organically or through acquisitions to their enterprise application suites. RPA often works in conjunction with major software products provided by companies such as Salesforce, SAP, Microsoft, and IBM. Rather than having an operative enter data into multiple systems, a bot can be created to do this. Large software vendors are taking advantage of this opportunity by trying to own entire workflows. They are increasingly integrating RPA into their offerings as well as competing directly in the RPA market with pureplay RPA vendors.

As the RPA offerings continue to mature, enterprises seek to scale implementations and to automate non-repetitive processes, which require more intelligence. They will seek to automate more processes at scale. They will demand solutions that process unstructured data, handle exceptions, and continuously learn, further increasing productivity. Intelligent automation typically incorporates AI, particularly voice and vision capabilities and uses machine learning to optimise processes. Hyperautomation turbo charges intelligent automation by automating multiple processes at scale – and will become core to digital transformation initiatives in 2021.

  1. Businesses Will Put “Automation Targets” in Place

2020 was the year that many businesses started seeing some broad and tangible benefits from their automation initiatives. Automation was one of the big winners of the year, as many businesses took extra steps to take humans out of processes – particularly those humans that had to be in a specific location, such as a warehouse, the finance team, the front desk and so on (because of the pandemic, they were often working at home instead). Senior management is seeing the benefits of automation, and they will start to ask their teams why more processes are not automated Therefore we will start to see managers put targets around a certain percentage of tasks automated in an area – e.g. 70% of contact centre processes will be automated, 90% of the digital customer experience for a certain outcome will be automated and so on. Achieving these numbers may not be easy, but the targets will change the mindset of people designing, implementing, and improving processes.


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