E-Business
Nigeria to Tap into $19tr IoT Market through OBUNO Engine

By peter oluka
‘OBUNO IoT Engine’, a wholly made-in-Nigeria IoT board with sea of possibilities, has been unwrapped by an NGO – Innovation Habitat Initiative for Indigenous Technology, as a launchpad for the nation into the emerging technology economy.
The Board adopts a modular and scalable architecture that addresses challenges facing the IoT adoption, adaptation and deployment in Africa, especially in Nigeria; in diverse areas such as e-Government, eHealth, fleet management, telematics, banking & financial services, utilities & service providers, eAgric, eLearning, amongst others.
Dr Agu Collins Agu, mentor at Innovation Habitat Initiative for Indigenous Technology, who midwifed the OBUNO IoT Engine highlighted, in a document obtained by Nigeria CommunicationsWeek, said that there is the increasing need to fast track capacity development in emerging technologies such as IoT through hands-on training and workshops.
This, he said is to demystify the underlying technology and building blocks which translates to skills acquisition that will transition Africa into an outsourcing destination and manufacturing economy.
Agu, who doubles as director of Corporate Planning & Strategy Department of the National Information Technology Development Agency (NITDA), said, as the world enters into the 4th Industrial age, the Internet of Things (IoT) is identified to be a key enabler with an estimation of more than 24 billion IoT devices on Earth by 2020 translating into approximately four devices per person; “As we approach that point, $6 billion is predicted to flow into IoT solutions, including application development, device hardware, system integration, data storage, security, and connectivity and these investments will generate at least $13 trillion by 2025”.
“The fact remains that the market share of IoT by 2020 will be 19 trillion USD with over 50 billion devices connected. Now the question is: Do we engage the usual Adoption Model or get innovative and engage the Adaptation Model.
“I would recommend the later; underscoring the need for scarce skills development & acquisition to enable us achieve Technology Adaptation and Customization (TAC), which will be a big shift from the traditional Technology Adoption that has kept us as consumers with no digital sovereignty”.
He also argues that the introduction of local content policy was a bold step by Nigeria to leapfrog technological developments.
“Nigeria has woken up to these challenges by the introduction of the Local Content Policy in ICT and The Executive Order, mandating the patronage of indigenous products and services with NITDA as the Watchdog. I must say that the countdown has commenced for massive explosion in hardware development such as the OBUNO IoT Engine to drive the penetration and application of IoT. Enforcement of the laws will be a major catalyst in materializing start-ups to drive the knowledge economy”, Agu said.
He further described OBUNO® IoT Engine as the perfect platform that brings both professionals and students (industry and academia) to explore the possibility of talking to the cloud, creating great opportunities to assimilate smart technologies, design the next big thing and solve unique problems.
“It is maker friendly and fully compatible with Arduino IDE and peripheral modules. OBUNO® IoT Engine, an end-to-end platform helps IoT developers avoid tunnel vision and its consequences by providing a comprehensive set of hardware and software components that easily combine into complete IoT applications, providing developers with a head start on their custom designs”.
E-Business
Cyber Resilience a Critical Priority for Manufacturing Amid Rapid Digitalization – Report Shows

As 60% of manufacturers race toward full digitalisation, cyber risk is increasingly manifesting as a business risk, according to a new global report by Kaspersky and VDC Strategy.

This means cybersecurity is not merely a compliance function, it is a cornerstone of production assurance, safeguarding uptime, quality, and operational continuity.
Manufacturers are modernising to deliver safer, more consistent and more cost-effective production and digitalization is moving fast: just 9% of organisations describe themselves as fully digital today, but 60% expect to get there within two years, according to the joint report by Kaspersky and VDC, titled ‘Cyber Resilience, Built for Manufacturing’.
That shift links shop-floor equipment, production lines and site operations to platforms such as Manufacturing execution systems (MES), Supervisory control and data acquisition (SCADA) and historians, turning many plants into cyber-physical systems (CPS), where a digital disruption doesn’t stay digital. It can slow production lines, quarantine work in progress, invalidate traceability records, or halt production outright.
What’s driving manufacturing digitalization?
Manufacturers are digitising for measurable operational gains, not novelty. Survey respondents identified the primary drivers of their digital transformation strategy as:
- Improving production output or efficiency (24%)
- Reducing operational or production expenses (15%)
- Enabling new strategic opportunities (14%)
- Improving cyber resilience (13%)
The same connected systems that unlock these gains, including MES, IIoT sensors, automated material handling, remote engineering access, also become the systems that determine whether production can be trusted to keep running.
Cyber risk is now a business risk
Cyber risk has evolved from a mere IT concern to a direct threat to revenue generation, as environments transform into cyber-physical systems. In these integrated settings, digital disruptions like malware no longer just affect data, they can cause unsafe operations, scrapped batches, and halted production on the plant floor. This shift highlights the urgent need to treat cybersecurity as a key part of operational resilience.
According to the report, nearly 60% of manufacturing organisations estimate that cyber incidents cause damages exceeding $1 million per event, with an average disruption of 15.3 hours. The most significant losses often result from production halts, missed delivery commitments, and penalties, rather than just forensic costs.
In this context, downtime links cybersecurity risks to overall business performance. Cyber incidents can reduce Overall Equipment Effectiveness (OEE), strain staffing, and disrupt supply chains. Recovery involves more than system restore, it requires re-establishing confidence in process parameters, quality records, and traceability before resuming operations.
Mature cybersecurity programs now incorporate OT security into governance, focusing on metrics valued by production leaders such as time to restore, backup confidence, legacy asset coverage, and safe degraded operation. This alignment ensures cybersecurity supports continuous production and resilience, not just IT compliance.
However, challenges remain due to split ownership. While 59% of organisations’ IT departments manage security policies, these often overlook plant realities. Managing many security tools (44%) and OT patching issues (38%) show that cybersecurity must be embedded into daily routines of production, engineering, and quality teams. Only through such integration can cybersecurity effectively enhance operational reliability and defend against evolving threats.
“As manufacturing environments become increasingly interconnected, cybersecurity shifts focus from merely adding protective layers to ensuring the availability, resilience, and integrity of production processes. The goal is to minimise operational impact and speed up recovery, rather than solely preventing intrusions.
“Kaspersky offers a unified ecosystem that integrates IT, OT, and IIoT security, empowering manufacturers to pursue digital transformation securely. This strategy helps maintain operational continuity and reduces long-term cybersecurity costs,” comments Andrey Strelkov, Head of Industrial Cybersecurity Product Line at Kaspersky.
To implement this strategy, manufacturing companies can leverage solutions from the Kaspersky OT Cybersecurity Ecosystem, centered around Kaspersky Industrial CyberSecurity (KICS), a native Extended Detection and Response platform designed for critical infrastructure protection. KICS enables centralised detection and response to complex attacks across the entire industrial network, ensuring comprehensive visibility and security.
E-Business
NDPC Probes UNILAG, Lotus Bank, Hackerbella over Alleged Students’ Data Misuse

Nigeria Data Protection Commission (NDPC) has commenced a forensic investigation into the University of Lagos (UNILAG), Lotus Bank and Hackerbella Ltd over alleged violations of data protection laws involving students’ personal information.

The investigation follows public complaints alleging that students’ personal data were used to open bank accounts without a lawful basis.
Dr Vincent Olatunji, national commissioner and chief executive officer of the NDPC, directed the investigation team to conduct a comprehensive assessment of the circumstances surrounding the collection, processing, use and disclosure of the affected students’ personal data.
The investigation will also determine the respective roles and responsibilities of UNILAG, Lotus Bank and Hackerbella in the alleged processing of the data.
According to the Commission, the investigation will assess the data protection compliance obligations of the parties under the Nigeria Data Protection Act, 2023 (NDP Act), as well as potential risks posed to the rights and freedoms of the affected data subjects.
The NDPC said the probe would cover several areas, including Data Protection Impact Assessments (DPIAs), the lawfulness and transparency of credit scoring or profiling activities, and the use of automated decision-making systems.
It will also examine the adequacy of privacy notices, data-sharing arrangements, lawful bases for processing, data minimisation and purpose limitation.
Other areas include data retention policies and the adequacy of technical and organisational measures put in place to safeguard the rights and personal data of affected students.
The Commission reiterated that institutions entrusted with the personal data of students, staff and other members of their communities have a heightened responsibility to ensure that such information is processed lawfully, fairly, transparently and securely.
The NDPC therefore warned educational institutions that are yet to comply with its existing data protection compliance directives to take immediate steps to achieve compliance.
The Commission said it would continue to exercise its regulatory mandate to protect the privacy rights of Nigerians and ensure that organisations processing personal data comply with the provisions of the Nigeria Data Protection Act, 2023.
E-Business
Microsoft to Unveil Next-generation AI Chip in September

Microsoft is planning to unveil its new Maia 300 AI chip this fall, potentially as soon as next month, The Information reported on Monday, citing people with direct knowledge of the plans.

The company introduced its Maia AI chip in November 2023 but has lagged rivals such as Alphabet and Amazon in scaling up its in-house chip efforts as it seeks to reduce its reliance on Nvidia’s costly processors.
Google began recognizing revenue from direct sales of its custom AI chips, called Tensor Processing Units, in the quarter ended June, while Amazon has also seen growing adoption of its processors, including its Trainium chips.
Microsoft has been in talks with chipmaker TSMC to secure manufacturing capacity for more than 300,000 units of the chip for delivery in 2027, according to the report. It is also looking to significantly ramp up production and persuade major cloud customers such as Anthropic to adopt the chip.
Microsoft ultimately aims to secure capacity for more than 1 million Maia 300 chips, though component supplies and ongoing capacity negotiations with TSMC could constrain its plans, according to the report.
It unveiled its second-generation Maia 200 in January, built by TSMC using 3-nanometer technology.
Microsoft packed the chip with a significant amount of SRAM, a type of memory that can provide speed advantages for AI systems handling large numbers of user requests.
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