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Why businesses must move beyond cloud-first thinking

Africa News News African November 9, 2026 · Comments off

For more than a decade, cloud computing has been the cornerstone of digital transformation. Kenyan businesses embraced the cloud because it was faster and cheaper to get computing power, store data and launch apps without spending a lot of money on physical infrastructure.

Banks expanded digital banking services, retailers strengthened ecommerce platforms, schools moved learning resources online and government agencies digitised citizen services. The message was clear: move to the cloud to innovate faster.

That strategy has delivered significant value. However, as artificial intelligence (AI) becomes integrated into everyday business operations and organisations handle larger volumes of sensitive data, a more important question is emerging: where should different workloads run?

The answer is no longer as simple as putting everything in the cloud.

Kenya’s digital economy continues to grow rapidly, driven by mobile money, digital banking, ecommerce and online public services.

Businesses are generating and processing more data than ever before. At the same time, expectations around cybersecurity, privacy and data protection have intensified.

As AI adoption accelerates, these considerations become even more important. A bank using AI to detect fraud processes highly sensitive financial information. A hospital deploying AI-assisted diagnostic systems handles confidential patient records.

Manufacturers increasingly rely on AI and automation to analyse production data and optimise operations. Government agencies are digitising services while managing critical citizen information.

While these organisations may use similar technologies, their requirements for security, compliance and control differ significantly. This reality is driving a shift from a cloud-first mindset to what can best be described as a workload-first approach.

Rather than asking whether an application belongs in the cloud, organisations are asking where a particular workload can operate most effectively while meeting performance, security, regulatory and business requirements.

For some workloads, public cloud platforms remain the ideal environment. Customer-facing websites, collaboration platforms and analytics solutions often benefit from the scalability, flexibility and innovation offered by global cloud providers.

However, applications involving sensitive customer, citizen or operational data may require greater control. Some organisations may opt for private cloud environments, while others may process data closer to where it is generated through edge computing to improve performance and reduce latency.

For sectors such as financial services, healthcare, telecommunications and public administration, technology placement is increasingly becoming a strategic business consideration rather than just an infrastructure decision.

Kenya’s banking sector provides a clear example. Digital banking and mobile financial services have transformed customer experience, allowing millions of people to access services anytime and anywhere. These innovations rely heavily on cloud-enabled technologies. At the same time, banks must maintain rigorous controls around customer information, fraud management systems and regulatory compliance.

The challenge is not choosing between cloud and on-premises infrastructure. It is finding the right balance.

The same principle applies to Kenya’s manufacturing sector, where Industry 4.0 technologies are gaining traction. Businesses are using connected sensors, automation systems and AI-driven analytics to improve efficiency and reduce downtime. Some of this information can be processed in the cloud to get business insights, while other tasks may need to stay closer to the business where quick response is important.

The organisations deriving the greatest value from digital transformation are not treating cloud, edge and private infrastructure as competing options. Instead, they are combining them to support different business objectives.

This approach is increasingly relevant across Africa as digital transformation accelerates across financial services, healthcare, telecommunications, logistics and the public sector. As organisations generate larger volumes of data and embed AI into more business processes, decisions about where technology runs will directly influence operational resilience, customer trust and regulatory compliance.

Cost will always remain an important consideration, but it can no longer be the only one. Business leaders must also evaluate security, performance, data sensitivity, governance and long-term resilience.

The future of digital transformation will not be defined by cloud-only or on-premises-only strategies. It will be defined by an organisation’s ability to place the right workload in the right environment at the right time.

The writer an Automation Engineer at NTT DATA East Africa

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