Technology
The Role of Artificial Intelligence in Risk Assessment

In today’s rapidly evolving world, understanding and managing risks is more crucial than ever. Artificial Intelligence (AI) has emerged as a powerful tool that can revolutionize the way risk assessments are conducted. By combining advanced algorithms, machine learning, and big data analytics, AI has the potential to enhance accuracy, speed, and efficiency in identifying and addressing risks in various domains.
Understanding Artificial Intelligence and Risk Assessment
Before delving into the role of Artificial Intelligence in risk assessment, it is essential to have a clear understanding of what AI entails and the concept of risk assessment itself.
Artificial intelligence (AI) is a rapidly evolving field that encompasses a wide range of technologies aimed at mimicking human cognitive functions. These technologies include machine learning, natural language processing, computer vision, and more. AI systems are designed to perceive their environment, learn from data, and make decisions to achieve specific goals.
Defining Artificial Intelligence
Artificial intelligence refers to the simulation of human intelligence in machines that are programmed to learn, reason, and make decisions autonomously. These machines can analyze vast amounts of data, extract meaningful insights, and apply them to solve complex problems.
AI has the potential to revolutionize industries by automating tasks, improving efficiency, and enabling new capabilities. From self-driving cars to personalized medicine, AI applications are diverse and impactful.
The Concept of Risk Assessment
Risk assessment, on the other hand, involves the evaluation of potential risks and uncertainties associated with a particular activity, decision, or process. It plays a vital role in numerous fields, including finance, healthcare, and environmental management.
Effective risk assessment requires a systematic approach to identify, analyze, and prioritize risks. By understanding potential threats and their likelihood, organizations can implement strategies to mitigate risks and make informed decisions.
The Intersection of AI and Risk Assessment
As AI technologies continue to advance, they offer exciting opportunities to enhance risk assessment methodologies and practices.
With the rapid evolution of artificial intelligence (AI), the landscape of risk assessment is undergoing a transformative shift. AI is revolutionizing the way organizations evaluate and manage risks by leveraging cutting-edge algorithms and machine learning capabilities.
How AI Enhances Risk Assessment
AI brings several benefits to risk assessment, including increased efficiency, accuracy, and objectivity. Unlike humans, AI algorithms can quickly process vast amounts of data, identify patterns, and predict potential risks. This enables organizations to make well-informed decisions and take proactive measures to mitigate risks.
Moreover, AI empowers risk assessment processes by enabling real-time monitoring and analysis of dynamic risk factors. By continuously analyzing data streams and identifying emerging risks, AI systems provide organizations with a proactive approach to risk management, allowing for timely interventions and strategic decision-making.
Challenges at the Intersection of AI and Risk Assessment
However, there are challenges that need to be addressed when integrating AI into risk assessment processes. These include concerns about data privacy and security, potential biases in algorithms, and the necessary expertise to develop and maintain AI systems.
Ensuring the ethical use of AI in risk assessment is paramount to building trust and credibility in the outcomes generated by AI systems. In light of Quantum AI Global Trading Regulations, organizations must establish robust governance frameworks and compliance measures to uphold data privacy standards and mitigate the risks of algorithmic biases. Additionally, investing in continuous training and upskilling programs for employees is essential to foster a workforce equipped with the knowledge and skills to effectively leverage AI technologies in risk assessment, while adhering to new and evolving international standards.
AI in Different Risk Assessment Areas
The use of AI in risk assessment is not limited to a single domain. It has the potential to revolutionize risk management across various sectors.
AI technology continues to make significant strides in enhancing risk assessment practices, offering a wide range of benefits and applications in diverse fields. By leveraging advanced algorithms and machine learning capabilities, AI can provide valuable insights and predictions that empower decision-makers to proactively address potential risks.
Furthermore, the integration of AI in risk assessment processes is driving innovation and efficiency, enabling organizations to streamline operations, optimize resource allocation, and enhance overall performance.
AI in Financial Risk Assessment
In the financial industry, AI can analyze market trends, historical data, and economic indicators to predict potential risks and market fluctuations. This enables financial institutions to make informed investment decisions, manage credit risks, and prevent fraudulent activities.
The application of AI in financial risk assessment not only enhances risk mitigation strategies but also promotes market stability and fosters investor confidence. By harnessing AI-driven insights, financial institutions can navigate complex market dynamics with agility and precision, ultimately driving sustainable growth and profitability.
AI in Health Risk Assessment
In healthcare, AI can analyze patient data, medical records, and research findings to identify potential health risks or conditions. This can lead to early detection, personalized treatment plans, and improved patient outcomes.
The utilization of AI in health risk assessment is revolutionizing the healthcare landscape, empowering healthcare providers to deliver personalized and proactive care to patients. Through AI-powered risk assessment tools, medical professionals can optimize treatment strategies, improve diagnostic accuracy, and enhance patient well-being and quality of life.
AI in Environmental Risk Assessment
AI can also play a crucial role in environmental risk assessment. By analyzing environmental data, including air and water quality measurements, climate patterns, and species mapping, AI can help identify and mitigate potential risks to ecosystems and human health.
The integration of AI in environmental risk assessment represents a significant milestone in environmental conservation and sustainability efforts. By leveraging AI technologies, environmental experts can gain deeper insights into complex ecological systems, develop targeted risk mitigation strategies, and drive initiatives aimed at preserving biodiversity and safeguarding natural resources for future generations.
The Future of AI in Risk Assessment
As AI continues to advance, so does its potential in transforming the risk assessment landscape.
Predicting Trends in AI and Risk Assessment
Experts predict that AI will continue to evolve, becoming more intelligent and capable of handling complex risk assessment tasks. Machine learning algorithms will become even more accurate and efficient, enabling organizations to make smarter decisions based on real-time data.
Potential Impacts on Various Industries
The integration of AI into risk assessment will have far-reaching impacts on different industries. It will lead to improved risk management strategies, better resource allocation, and enhanced decision-making processes. However, these developments also raise ethical considerations that need to be carefully addressed.
Ethical Considerations in AI Risk Assessment
While AI brings significant benefits to risk assessment, it is vital to navigate potential ethical challenges.
Balancing AI Efficiency with Privacy Concerns
As AI relies heavily on data, privacy concerns emerge regarding the collection, storage, and usage of personal information. Striking a balance between the efficiency of AI systems and individuals’ privacy rights is crucial.
Ensuring Fairness and Transparency in AI Risk Assessment
Another important consideration is the potential biases that AI algorithms can inherit from the data they are trained on. Ensuring transparency and fairness in AI risk assessments is essential to avoid discrimination and promote trust in these systems.
Conclusion
Artificial Intelligence is revolutionizing the field of risk assessment, providing organizations with enhanced capabilities to identify, evaluate, and manage risks effectively. While challenges and ethical considerations exist, the ongoing development and responsible integration of AI into risk assessment processes hold great promise for a more secure and resilient future.
Technology
Data Depletion, Nigerian Consumers and the FCCPC’s Silent Intervention

By Edwin Uhara
The various telecommunication companies in the country have come under intense pressure from the Nigerian consumers over rapid depletion of mobile data services despite the high cost of purchasing mobile data; with some accusing some of the regulatory agencies of not doing their jobs properly.
Apart from Nigerians, I have personally experienced such unsatisfactory service in recent times until I came across various online campaign materials against telecom service providers and some regulatory agencies like the Nigerian Communications Commission and the Federal Competition and Consumer Protection Commission who have all been accused of doing nothing while the unhealthy practices continued in the telecoms industry.
“According to report, telecom subscribers are sending emails and direct messages to the Nigerian Communications Commission and the Federal Competition and Consumer Protection Commission, demanding an investigation into what they describe as unexplained data consumption.”
In the midst of such accusation, operators insist that there is no mechanism for reducing customers’ data, arguing instead that rising consumption is due to users behaviour, particularly the shift from 3G and 4G to 5G and increased video streaming habit.
Such controversy comes on the hills of the recent intervention by the Nigerian Senate urging the Federal Ministry of Communications, Innovation, and Digital Economy to engage operators on reviewing data and internet-related service costs.
While data consumption issues have remained a pressing concern in recent times, the situation became more pronounced since the implementation of new tariff by service providers.
“The report however added that many subscribers who shared screenshots of emails sent to regulators on social media remained unconvinced, arguing that the problem lies in the operators’ billing systems rather than their usage habits.”
“It added that data prices are too high these days. Every Nigerian should report the operators to NCC, FCCPC, and send them thousands of emails; otherwise, this price hike won’t stop,” one of the customers said.”
“Not only has data become more expensive, but it also seemed to deplete faster than before. This is unacceptable,” another user complained.”
Nigeria’s internet consumption crossed the one million terabyte mark for the first time in January 2025, highlighting the surging demand for internet services and Nigeria’s increasing dependence on digital connectivity.
To be very honest, I have followed the activities of the FCCPC for a very long time now, and I have also written extensively about the commission’s activities to place me in a better position to know what the agency is doing to stop exploitative practices in the country.
During the nationwide food crisis last year, the commission was in the forefront of the war against exploitative practices with many raids against some manufacturers who were caught in the shabby practice.
We also remember the open confrontation between the commission and a minister last year over some unhealthy practices involving a popular airline operator in the country.
And most recently, the commission is in court over some issues involving MultiChoice company, the parent company of DStv and Gotv over some of it’s billing systems.
Like the situation in the telecoms industry, the price hike by MultiChoice saw DStv Compact move from N15,700 to N19,000. Compact Plus from N25,000 to N30,000. Premium from N37,000 to N44,500, and GOtv Supa Plus from N15,700 to N16,800.
Following the new price regime, the FCCPC directed MultiChoice to suspend the increase pending regulatory review, but the company went ahead with the price adjustment, leading to the legal dispute now before Justice James Omotosho.
I can go on to name many of the battles against exploitative practices the FCCPC addressed last year, but will not do so because I don’t want this article to be viewed as a public relations material by my readers.
However, I managed to get across to a staff of the FCCPC who do not want his name in print over data depletion which Nigerians are complaining about but he told me that the commission is already addressing the concerns raised by Nigerians and promised that the outcome of such investigation would soon be made public.
Therefore, I appeal to Nigerians to exercise more patience as the issue is been addressed.
Comrade Edwin Uhara is A Public Affairs Commentator and writes from Abuja
Technology
World Bank Backs Raxio With $100m for Data Centres in Africa

By Adedapo Adesanya
The World Bank, through its private investment arm, the International Finance Corporation (IFC), has injected $100 million investment in regional data centre developer and operator Raxio Group as it joins the rush into digital data in Africa.
Digital demand on the continent is surging, but infrastructure remains scarce as many still rely on Europe or South Africa for hosting.
Africa accounts for less than 1 per cent of the world’s data centre capacity even as mobile data usage grows by around 40 per cent annually.
Cloud computing and tech giants such as Amazon Web Services, Microsoft Azure, and Huawei are ramping up partnerships and presence on the continent.
Recall that Equinix launched its data centre in Lagos as part of efforts to boost digital economy on the continent.
The debt funding by IFC is its largest such investment to date in Africa – reflects rising interest from global institutions in the continent’s digital economy, where mobile money, AI-driven services and cloud-based platforms are rapidly expanding.
Hosting data locally reduces costs, improves speeds and gives governments more control over cybersecurity and regulation.
The IFC picked Raxio which is building a network of top standard data centres, including one in Ivory Coast with construction underway in Mozambique, Ethiopia and Democratic Republic of Congo. It launched its first facility in Uganda in 2021.
The expansion aligns with views that Africa is the next battleground for cloud services.
Speaking on this, Mr Sarvesh Suri, IFC regional industry director, infrastructure and natural resources in Africa, said improving digital connectivity and building the backbones of digital infrastructure are of key importance to support economic growth in Africa
“Data centres as such and overall digital connectivity is an important area of focus for the IFC,” he said.
Identify the challenges such as power supply, complex regulation and political instability can deter commercial players, Mr Suri noted that development finance institutions play a crucial role by de-risking early investments that can unlock long-term private capital.
“We bring in the right kind of instruments to help support investors to reduce the risk over all this, to make sure that these investments continue to be long-term, sustainable, and profitable, but also economically beneficial for the countries,” said Mr Suri.
“We see the interest, the support, the engagement, the collaboration we are getting from the governments where we operate, who really want this to happen,” added Mr Raxio Group CEO Robert Skjodt.
Technology
Nigerian Tech Firms Raise $100m in Q1 2025 Amid Funding Squeeze

By Adedapo Adesanya
Nigerian tech firms attracted just $100 million in funding in the first quarter of 2025, raising worries about investment crunch into Africa.
This is part of a wider slowdown in funding on the continent as funding into the African tech ecosystem dropped 5 per cent to $460 million in the first quarter of 2025, according to data by Africa: The Big Deal.
The decline shows the consistent drop in venture capital funding on the continent, which fell from $486 million raised in the same period of 2024,
The data insight firm, which tracks funding rounds of $100,000 and above, revealed that nearly $300 million was raised by start-ups in January, and fell to $119 million in February.
March saw one of the lowest monthly totals since late 2020, with just $50 million in funding announced.
The Big Deal noted that despite a steady number of start-ups securing funding, the lack of deals exceeding $10 million significantly impacted overall investment figures.
“Q1 2025 is the second-lowest quarter in terms of start-up funding since late 2020,” the insight company noted.
“However, things are looking more positive if we focus on the number of start-ups that announced at least $1 million in funding during the quarter, with 52 such deals aligning with the 2023-2024 average,” a post seen by Business Post showed.
Nigeria alongside Kenya, South Africa, and Egypt – referred to as the Big Four – got 83 per cent of funding during the period under review.
Nigeria attracted roughly over $100 million in funding (24 per cent), same as Kenya (24 per cent) and followed closely by South Africa with $100 million (22 per cent).
Egypt secured $61 million (14 per cent), while Togo emerged as a surprise entry in the top five, buoyed by Gozem’s $30 million Series B funding round.
Fintech remained the dominant sector, accounting for nearly half (46 per cent) of total investment, the report disclosed with deals including LemFi’s $53 million raise and Naked’s $38 million.
The energy sector followed with an 18 per cent share of the total funding, while logistics and transportation startups secured 10 per cent.
It raised eye brows over the disparity in gender based funding with just over 2 per cent ($10 million) of Q1 funding went to female CEOs.
The largest such deal being a $6.2 million grant awarded to South African biotech firm, African Biologics.
Excluding grant funding, female-led start-ups accounted for a mere 0.7 per cent of all investments while in contrast, Big Deal added that 79 per cent of total funding went to either solo male founders (11 per cent) or all-male founding teams (67 per cent).
It revealed that diverse founding teams attracted 20 per cent of the investment, this remains a modest improvement compared to previous quarters.
“A mere 1% was invested in solo female founders or female-only teams,” the report said.
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