Artificial intelligence adoption is accelerating demand for data storage globally and contributing to supply delays for enterprise hard drives, Tosh NXT Tech Ventures Managing Director Santosh Varghese said at the GITEX Kenya forum held in Nairobi last week.

Varghese, whose firm is a commercial partner for Toshiba Europe managing the company’s data storage business across the Middle East and Africa, told the forum that growing use of AI in business and government is increasing pressure on organisations to expand data centre capacity and enterprise storage systems.

“Today, data is a currency. Because there’s an AI revolution happening, and for AI engines to work, you need to have data,” Varghese said.

The company cited research indicating that nearly 166 zettabytes of data will be generated globally within the next few years, a trend it said is pushing institutions to invest in reliable storage systems. Tosh NXT did not name the source of the research in its statement.

Varghese said AI systems require large volumes of stored information for training, analytics and automation, putting data centres and enterprise storage infrastructure at the centre of digital transformation programmes. He added that demand has tightened supply in some markets. “There’s a massive demand for Hard Disk Drives across all categories, mainly Enterprise HDD because businesses and hyperscalers are implementing large AI solutions,” he said.

He said some customers are experiencing delivery delays, with certain businesses waiting up to four months to acquire hard drives for major projects, attributing the situation to global shortages of storage devices.

At the event, the company showcased Toshiba’s MG Series enterprise hard disk drives and related technologies, including high-capacity models starting from 24 terabytes. Tosh NXT also pointed to Toshiba’s roadmap that includes a 32TB hard drive designed for data centres and AI applications, according to the statement.

Varghese said some enterprise hard drives use helium-filled technology intended to reduce heat generation and power consumption in large-scale data centres. The company said enterprise hard drives remain among the most in-demand products globally, particularly among banks, hospitals, universities and large technology firms operating data centres.

Beyond enterprise infrastructure, Toshiba also supplies storage products for surveillance systems, small businesses and consumers, Tosh NXT said. Varghese noted that surveillance storage demand is rising alongside AI-enabled security systems and smart monitoring technologies.

According to the company, Toshiba launched the S300 AI Surveillance Hard Drive last year, which it said can support up to 64 CCTV cameras and handle 32 AI video feeds continuously throughout the year.

The statement positions Kenya and other African markets as growth areas as organisations invest in cloud infrastructure, AI and broader digital transformation. For Kenya’s business landscape, increased demand for data storage has implications for data centre investment, IT procurement cycles and the cost of deploying AI workloads, especially for regulated sectors such as banking and healthcare that must retain and protect large datasets.

Varghese said organisations are also changing how they use stored information, shifting from long-term retention to more active analytics aimed at improving efficiency. “Businesses are not just storing data and keeping it for seven or ten years. They are analyzing the data and using it for business applications,” he said.

Looking ahead, continued AI uptake is likely to keep demand elevated for enterprise storage and surveillance-grade drives, potentially sustaining longer lead times for hardware procurement as Kenyan firms expand data centre capacity and modernise digital infrastructure.

Mitsumi Distribution has announced a KES 258 million (US$2 million) investment to build an artificial intelligence (AI) cloud platform intended to give Kenyan university graduates, software developers and early-stage tech entrepreneurs access to affordable computing infrastructure.

The company said the initiative was announced last week in Nairobi during the AI Everything Kenya X GITEX Kenya Summit. According to Mitsumi, the platform is designed to reduce the cost barriers that can limit local developers’ ability to build, test and scale AI-enabled products on cloud infrastructure.

Mitesh Shah, Co-founder and Managing Director at Mitsumi Distribution, said the company is funding the project largely as a corporate social responsibility (CSR) initiative. “The AI cloud we are putting up is around $2 million. This is mostly CSR from Mitsumi’s side so that most of our educated youths can utilize it for different things,” Shah said.

Mitsumi said the platform will enable local developers to build and test software, experiment with AI solutions and connect to international technology markets without incurring the costs typically associated with global cloud services. The company added that access to advanced tools and computing power remains a key constraint for many young innovators.

Jagat Shah, Chairman and CEO of Mitsumi Distribution, linked the investment to affordability challenges faced by young professionals. “So many youths are well educated to do something good, but because of cost and affordability, they are not getting good exposure,” he said.

The announcement comes amid increased public and private sector focus on digital infrastructure and AI skills as Kenya positions its digital economy for growth. For the local market, access to compute is a practical constraint for AI development, given that training and running modern AI models can be expensive and often requires specialised hardware capacity.

Mitsumi also disclosed that it has hired more than 50 young people within its AI division, where it said they are working on research, product development and digital solutions. The company argued that Kenya’s talent base could support a stronger role in regional AI and software development if infrastructure constraints are addressed. “Kenyan youth possess exceptional technical talent and a strong understanding of software development. What has been missing is greater access to platforms and infrastructure that can help them innovate, scale and compete globally,” Jagat Shah said.

The firm welcomed the government’s ongoing efforts to develop an AI policy framework, stating that clear regulation and ethical standards could support responsible innovation. While the company did not provide timelines for the cloud platform’s rollout or details on how developers will access the infrastructure, it indicated the initiative is intended to broaden participation in AI development.

Looking ahead, Mitsumi said locally developed AI solutions could be applied to improve healthcare, education and access to essential services, particularly in underserved and remote communities. The next milestones likely to be watched by the sector include the platform’s launch date, eligibility and pricing structure for users, and how the initiative aligns with Kenya’s emerging AI policy direction.

TECNO on May 15, 2026 launched a suite of smartphone-based artificial intelligence (AI) tools in Nairobi that it says can operate without an internet connection, positioning the move as a response to high data costs and patchy connectivity that limit technology use for many Kenyans.

The company said the tools were launched at the University of Nairobi and are designed for everyday use cases including schoolwork support, basic health information searches and small business record-keeping performed directly on a user’s handset.

“AI should not be only for expensive devices. It should help a student revise, a trader track sales, a parent translate information, or a creator make better content,” said Elvis Ndekwe, TECNO AI Product Operations Officer. “Our goal is to make AI simple, useful, and available to more Kenyans”.

TECNO cited findings from research firm Omdia, saying high data costs and weak network signals often prevent Kenyans from adopting new technology. In response, the firm said it has built its AI features to run “on-device”, meaning processing is done locally on the phone rather than sending data to remote servers over the internet.

According to TECNO, running these functions on the handset is intended to allow users to access tools even when they have no airtime or data bundles, a common constraint for households and micro-businesses that rely on prepaid mobile services.

Tools aimed at informal trade, learning and health information

TECNO said the release focuses on three practical areas: small business support, education and healthcare information.

For small businesses, the company said the AI can act as a “Virtual Consultant” by reading payment messages and SMS to generate automatic record-keeping and M-PESA-linked money summaries. The firm said this is meant to help traders track sales and manage cash flow offline, potentially lowering reliance on third-party bookkeeping apps that require connectivity.

In education, TECNO said students can use its “Ella AI assistant” to summarise long documents and YouTube videos into shorter study notes. The company characterised the tool as an always-available study aid that continues to function while offline.

For healthcare, TECNO said its system provides voice-guided health tips and support in local languages, with the aim of helping families access wellness information without travelling long distances to clinics. The firm did not provide clinical validation details, and it did not specify whether the content is reviewed by medical professionals.

Local language support and camera features

TECNO also said a key part of the rollout is local language recognition. The company said the system has been trained on local data to recognise Swahili and Sheng’, and to interpret code-switching—mixing local languages with English within the same sentence.

In addition, TECNO said its “Universal Tone” camera feature is intended to capture natural skin tones for people with darker complexions in varied lighting conditions such as markets and streets. The firm said the feature addresses a longstanding issue where camera software can misrepresent darker skin tones.

Why it matters for Kenya’s mobile and digital economy

Kenya’s digital economy is heavily mobile-led, with smartphones serving as the primary computing device for many consumers and micro-enterprises. Features that function without internet connectivity could appeal to users facing intermittent network coverage or seeking to reduce spending on data bundles, particularly in the informal sector where day-to-day cash management is critical.

The emphasis on SMS and payment message parsing also reflects how deeply mobile money is embedded in Kenyan commerce. If widely adopted, offline tools that structure transaction information could increase basic financial record-keeping among micro and small enterprises—an area often cited as a barrier to accessing formal credit.

Outlook

TECNO did not disclose pricing, device models supported, or a rollout timeline beyond the launch event. Market uptake is likely to depend on which handsets receive the features, how well the tools perform across Kenya’s languages and usage patterns, and user confidence around how sensitive SMS and payment information is handled on-device.

Smart Applications International Ltd (Smart) has launched Smart Detect AI, a claims intelligence platform the company says will help insurers and healthcare providers detect fraud, waste and abuse (FWA), reduce preventable claim rejections and improve the efficiency of healthcare claims management.

The Nairobi-headquartered health technology firm said the solution was unveiled on May 11, 2026, during the 5th Smart Summit held at Safari Park Hotel in Nairobi. Smart said the platform analyses claims before and after submission using machine learning, behavioural analytics and clinical logic.

The launch comes as healthcare payers and providers in Kenya and across the region continue to contend with rising claim volumes, disputed bills and administrative errors that can strain cash flow for hospitals and increase payout pressure for insurers. In its statement, Smart said fraud schemes are often embedded in “normal-looking claims,” making them difficult to detect using traditional rule-based systems.

Smart also linked a significant share of claim rejections to preventable quality issues such as incomplete documentation, incorrect coding and inconsistencies identified only after submission. The company said these issues affect revenue predictability for providers and add operational cost across the ecosystem.

For insurers, Smart said Smart Detect AI supports post-submission risk detection by identifying “unusual billing patterns, potential member-provider collusion, abnormal visit frequencies, clinical inconsistencies, and location anomalies.” Smart said this is intended to enable earlier detection of hidden risks and more targeted investigations, reducing financial leakage.

For healthcare providers, Smart said the tool supports pre-submission claim validation by flagging errors such as missing documentation, incorrect coding, benefit mismatches, unjustified procedures and incomplete clinical rationale. Smart said improving claim quality at the source can increase first-pass approvals, lower rejection rates and protect cash flow.

Unlike traditional tools that may assess claims in isolation, Smart said Smart Detect AI evaluates patterns across providers, patients and time to generate what it described as “more accurate, explainable and actionable intelligence.” The company said this approach is aimed at generating deeper insights into billing behaviour and patient journeys.

“Healthcare systems today process claims at scale, but critical risks often remain hidden. Smart Detect AI introduces a new level of intelligence that enables stakeholders to move from reactive to proactive claims intelligence — strengthening transparency, improving efficiency, and ultimately protecting the integrity of healthcare systems,” said Barbara Simiyu, Head of Data Analytics at Smart Applications International, speaking at the launch.

In the Kenyan context, claims quality and fraud detection tools have become a growing area for investment as insurers tighten controls and providers seek faster reimbursement cycles. Claims analytics also supports wider efforts to improve financial integrity in health systems, particularly as digital health records and electronic claims processing expand in both public and private healthcare.

For the regional health technology market, the launch underscores how local firms are increasingly applying artificial intelligence and analytics to operational problems traditionally managed through manual audits and rules engines. If adopted at scale, such platforms could shift how payers and providers prioritise investigations, monitor provider performance and manage utilisation trends.

Smart said the next phase will be deployment among stakeholders across Kenya and Africa, targeting both insurers and healthcare providers. The company did not disclose pricing, rollout timelines or current customer uptake in its statement.

Smart Applications International said it is an ISO-certified healthcare technology company headquartered in Nairobi, delivering digital health, biometric identity and analytics platforms across Africa, and working with governments, healthcare providers, insurers and development organisations.

Google has expanded its Search Live feature globally, making it available in all languages and locations where its AI Mode is available, the company said on Thursday in a statement distributed to media. The expansion enables users in more than 200 countries and territories to hold real-time conversations with Search in AI Mode using both voice and camera.

The rollout is linked to the launch of Gemini 3.1 Flash Live, which Google described as a new voice and audio model designed to support multilingual, real-time interactions. Google also said it is expanding Google Translate’s “live interpreter headphone experience” to iOS devices—where it was previously available on Android—and to more countries.

The changes matter for Kenya and other African markets where Google products are widely used for consumer search, mobile-first information access and business discovery. Real-time, voice-led search and camera-assisted queries could shape how consumers research products and services, while broader live translation support may affect cross-border travel, customer service and multilingual commerce in a region with diverse languages.

In its overview of the announcement, Google said: “Search Live has launched globally, for all languages and locations where AI Mode is available.” The company added that “people in more than 200 countries & territories can have real-time conversations with Search in AI Mode, using both voice and camera.”

Google also introduced the underlying model it says enables the rollout. “Introducing Gemini 3.1 Flash Live, Google’s latest voice and audio model,” the company said, adding that the model is “inherently multilingual” and supports the global expansion of Search Live.

According to the statement, Gemini 3.1 Flash Live will be available through multiple channels: developers can access it via the Gemini Live API in AI Studio in preview, enterprises can use it through Gemini Enterprise for Customer Experience, and consumers can use it through Search Live and Gemini Live globally.

For Kenyan developers and technology firms building voice-driven applications, Google’s decision to make a “Live API” available in preview could lower the barrier to prototyping conversational interfaces for sectors such as fintech support, retail, health and logistics. For enterprises, the inclusion of the model in customer experience tools indicates increased competition among cloud and AI providers targeting contact centres and customer engagement workflows across Africa.

The iOS expansion of Google Translate’s live interpreter headphone experience may also be relevant in markets with high iPhone usage in business settings and among international travellers. If rolled out locally, the feature could support meetings, hospitality and other service industries that rely on rapid, accurate interpretation.

Google did not provide rollout timelines for specific countries beyond stating the global availability parameters tied to AI Mode, nor did it disclose pricing for developer or enterprise access. The company directed readers to product blog posts and a press kit for additional details.

Next, the pace of adoption in Kenya is likely to depend on AI Mode availability, user awareness, data costs and enterprise readiness to integrate live voice and translation tools into customer-facing operations. Developers will also watch for changes as the Gemini Live API moves from preview to broader release.

Safaricom Plc and Indonesia’s Indosat Ooredoo Hutchison (IOH) have signed a partnership to collaborate on artificial intelligence (AI) use cases spanning customer experience, digital financial services and network investment planning, the companies said in a joint statement issued on March 17, 2026 in Barcelona.

Under the agreement, the two telcos said they will work on “advanced AI-driven decisioning” to support more proactive customer engagement, including predictive care to detect and resolve network issues before customers are affected, more relevant product recommendations for prepaid users, and conversational AI tools for customer support.

The partnership also includes collaboration around mobile money and broader digital financial services. IOH said it will draw on Safaricom’s operational experience in mobile financial services—built around M-PESA—to strengthen “resilience, security, and personalization” of digital financial journeys, including AI-powered fraud and risk management and improving payment reliability during peak periods.

The announcement comes as telecom operators increasingly deploy AI to manage network complexity, improve service quality and protect digital payments from fraud. For Kenya, where mobile money infrastructure is deeply embedded in everyday commerce, AI-driven fraud detection and reliability initiatives are closely watched by banks, merchants and regulators seeking to reduce losses and maintain customer trust in digital transactions.

In addition to customer and fintech-related initiatives, the companies said they will explore AI-led insights to improve how IOH plans and invests in its network. The statement referenced “CNX-based Smart CAPEX” and the use of AI to make capital expenditure decisions more demand-driven, with a focus on “high-growth and underserved areas.” No financial terms of the partnership were disclosed, and no monetary figures were provided to convert into Kenyan shillings.

Vikram Sinha, President Director and Chief Executive Officer of Indosat Ooredoo Hutchison, said the collaboration is intended to translate strategy into deployable outcomes. “This partnership with Safaricom is about moving from aspiration to action,” Sinha said. He added that the companies are focused on “delivering innovations that customers can genuinely feel from smarter networks and safer digital transactions to more personal and intuitive experiences,” according to the statement.

Peter Ndegwa, Chief Executive Officer of Safaricom PLC, said the partnership brings together the firms’ respective strengths. “Our partnership with Indosat is built on our respective strengths, their bold AI‑native transformation and our deep experience in building Africa’s most trusted digital and financial ecosystem,” Ndegwa said. He added that the collaboration aims to support “smarter networks and safer transactions” and contribute to “inclusive digital economies,” according to the statement.

Industry-wide, the initiative signals growing cross-market collaboration between operators seeking to industrialise AI across core telecom functions—customer care, network operations and digital financial services—rather than limit AI deployments to pilots. In Kenya and the wider East African market, the emphasis on fraud and risk management reflects sustained pressure on mobile money providers to strengthen controls as transaction volumes grow and fraud techniques evolve.

The companies also said they will collaborate on talent and leadership development to support AI transformation. Planned initiatives include building “AI-fluent executives,” developing “Business–AI Translator roles,” and enabling cross-organisational learning and short-term secondments to speed up skills transfer.

Next steps and timelines for specific deployments were not provided. The firms said the partnership will focus on practical use cases, suggesting pilots and phased rollouts may follow as the parties identify areas where AI tools can be implemented across customer operations, digital finance and network planning.

Unilever and Google Cloud on February 18, 2026 announced a five-year partnership aimed at accelerating Unilever’s use of artificial intelligence by moving key data and enterprise applications onto Google Cloud, in a deal the companies said will reshape how the consumer goods group conducts marketing, brand discovery and internal workflows.

The companies said the partnership will see Unilever migrate its integrated data and cloud platform to Google Cloud to create an “enterprise-wide, AI-first digital backbone” and support “agentic workflows”—systems designed to execute complex tasks across business processes. The announcement was issued in a media release distributed in Kenya.

Unilever said the collaboration will use Google Cloud technologies including Vertex AI, its enterprise AI platform, to build new capabilities in brand discovery, measurement and AI-augmented marketing for brands such as Dove, Vaseline and Hellmann’s. According to the media release, the initiative responds to consumer journeys shifting “toward more conversational and agentic experiences,” including conversational shopping.

The partnership matters for Kenya’s business landscape because it signals continued acceleration of cloud migration and enterprise AI adoption among multinational fast-moving consumer goods (FMCG) companies operating in the region. While the media release did not provide country-level investment figures or deployment timelines for East Africa, the decision to route core data platforms to a hyperscale cloud provider is likely to influence how suppliers, agencies and retail partners integrate data, measure campaigns and manage demand forecasting across African markets where Unilever sells its products.

“Technology has moved to the core of value creation at Unilever,” said Willem Uijen, Chief Supply Chain and Operations Officer at Unilever. “As brands are increasingly discovered and chosen in environments shaped by AI, we must lead this shift. This collaboration with Google Cloud sets a new level in how technology can power commerce and growth in the fast-moving consumer goods industry, ensuring Unilever is agile, fit for the future, and equipped to unlock value at every level of the company.”

Tara Brady, President, EMEA at Google Cloud, said the partnership will include deployment of Google’s AI models, including Gemini, alongside modernization work. “In partnering with Unilever as it boldly reimagines its business processes, we are not just modernizing legacy systems; we are deploying our advanced models, such as Gemini, to create a system of intelligence that reasons, learns, and acts,” Brady said. “This will set a new standard for agility and consumer engagement in the CPG sector.”

According to the media release, the collaboration will be structured around three pillars: agentic commerce and marketing intelligence; an integrated data and cloud foundation; and advanced AI. Under the integrated foundation pillar, Unilever will “transition key enterprise applications and data platforms to Google Cloud,” creating what the companies described as a connected environment for scalable AI deployment across the value chain.

For the Kenyan and wider East African market, the move highlights a growing expectation that marketing performance, consumer insights and demand planning will increasingly be driven by centralized, cloud-based data architectures and AI tooling. As global consumer goods groups standardize data platforms, regional teams and local partners may face pressure to improve data quality, interoperability and compliance, while also developing skills in AI-enabled marketing measurement and automation.

Unilever reported sales of €50.5 billion in 2025, equivalent to about KES 7.1 trillion (€50.5 billion) at an assumed exchange rate of KES 140 per euro. The company said it operates in more than 190 countries with 96,000 employees, and that its products are used by 3.7 billion people daily, according to the media release.

Next steps and milestones, including the pace of application migrations and rollout of agentic workflows, were not detailed in the statement. However, the companies indicated the partnership is designed to fast-track adoption of AI across Unilever’s operations and marketing as consumer discovery and shopping continue shifting toward AI-mediated channels.