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Data Science Nigeria to Raise New Generation of Datapreneurs

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Bayo Adekanmbi.
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Young Nigerians in their hundreds participated in the maiden workshop for the Data Science Nigeria aimed at positioning the country to benefit from the growing global importance of data and data science in proffering solutions to the myriads of human challenges.
 
Speaking at the workshop in Lagos, the convener and moderator of the event, Bayo Adekanmbi, a C-Level Executive with MTN Nigeria, informed the capacity filled audience that the initiative, a professional-led approach is designed to train and mentor young Nigerians through face-to-face, virtual online classes, project-based support and holiday boot camps.

The ultimate intent of which is to raise a special breed of entrepreneurs who will set up data science based businesses and attract foreign exchange to the nation.

Adekanmbi disclosed that the initiative is a give-back project premised on what he has learnt across the world especially during his recent one-year PhD research sabbatical in the UK,  India and America said, “India is already tapping into the Data Science space and I believe Nigeria can become Africa’s data science outsourcing destination with our brilliant undergraduates, graduates and young analysts with degrees in Engineering/Sciences and other numerate subjects”.

According to him, data and data science will become the oil of the 21st century and Nigeria must join the league of countries that will be positioned for comparative advantage in data science. The workshop assembled leading lights in Data Science to mentor participants as panelists. These include Ngozi Dozie of OneFi Nigeria, Dr. Femi Oyenuga of Oracle, Seun Onigbinde of BudgIT and Iyinoluwa Aboyeji, Founder, Andela while a US-based Nigerian leading data scientist and IBM Distinguished Engineer/Chief Data Scientist,   Dr. Uyi Stewart inspired and motivated the audience with his presentation titled: Leveraging Data Science to enable Nigeria Leapfrog”

The panel analyzing the growing importance of data science submits that countries, organizations and individuals need to make smart and sharper decisions, to do these “they need data and data scientists”.  According to them, data science is the potpourri of information and insights intelligently brought together to add value to human life. This can be done by studying pattern over time in a bid to build intelligence.

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However, to become proficient in data science, both soft and technical skills are needed. These include natural curiousity, communication, romance with data and attention to details.

Attention to details is critical, emphasized the Aboyeji (Andela) unfortunately, not many Nigerians are good at this, he said, “the world is still a secret, you make money by identifying those secrets and proffering solutions to solve the challenges”.
 
Delivering his keynote, Dr. Uyi who currently holds 10 patents in the US, said: “Nigeria is at the tipping point with two choices open to her: investing in infrastructure or invest in data which is technology that will bring about transformational change through killer applications”.

“Investing in infrastructure will only bring about incremental change, this is where most of us are right now” said Dr. Uyi “If we decided to invest in infrastructure we choose to compete with the Chinese, we have to maintain the structure unfortunately, we do not have maintenance culture. We can achieve progress through data not infrastructure”, he submitted.

According to the IBM Chief Scientist, “Data is the new basis of comparative advantage”, he disclosed that we are surrounded by a sea of data with 2.5 Gigabytes of data generated every day.

Considering the scenarios, “Nigeria’s immediate and strategic opportunity is to leapfrog to the next wave of IT by leveraging technology and cognitive system”, Dr. Uyi advised, adding that there should be a sense of urgency for data and data science. To make progress, he said participants must innovate on how they collect data, curate data, run analysis and the custom ability of the insights generated.

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According to the data expert, Nigeria has a high potential for disruption through business model and technological innovation.

He cited models where data have been used as bedrock to bring about breakthrough developments in Agriculture (Kenya), Health –Ebola (Sierra Leone) and education. Other uses of data include e-government, smart city planning, security, tourism, to mention but a few.

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Cyber Resilience a Critical Priority for Manufacturing Amid Rapid Digitalization – Report Shows

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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?

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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.

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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.

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NDPC Probes UNILAG, Lotus Bank, Hackerbella over Alleged Students’ Data Misuse

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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.

NDPC Probes UNILAG, Lotus Bank, Hackerbella over Alleged Students’ Data Misuse

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.

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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.

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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.

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Microsoft to Unveil Next-generation AI Chip in September

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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.

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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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