E-Business
Gartner Explains Why CIOs Should Consider Advanced Analytics

Ahead of the annual Gartner Business Intelligence & Analytics (triple) Summits Alexander Linden, research director at Gartner, has explained the opportunities that advanced analytics and data science technologies present to business executives.
Speaking on why should CIOs consider advanced analytics and data science technologies, Linden, said that the overall amount of data and analytics is growing in every industry.
He said that CIOs need data science to extract nontrivial information.
“For example, it’s mission-critical to determine how to acquire new customers, do more cross-selling and predict demand and failures. Normal business intelligence and descriptive analytics, and even traditional software engineering, can’t handle those situations”, he said.
The Research Director added that, “Advanced analytics can surpass human capability in coping with significant volumes of data, and dealing with highly complex digital business settings”.
He added that digital businesses have to adopt data science methods in more use cases, by driving the availability of sensor data, expanding bandwidth and reducing storage costs.
Looking at the greater adoption of analytics and what changes such as process, skills etc, will a business need to make to incorporate advanced analytics, Linden said, “Many of our clients assume that once they have mastered analytics, they can then progress to the next level with simply some learning and additional software tools. The reality is that advanced analytics isn’t just a more complex form of normal analytics.
“Normal” analytics mainly reports what has happened (descriptive analytics), whereas advanced analytics solves problems using predictive analytics and prescriptive analytics. Predictive analytics predicts future outcomes and behavior, such as a customer’s shopping behavior or a machine’s failure. Prescriptive analytics goes further, suggesting actions to take based on the predictions.
“For example, predicting a machine breaks down after producing a certain number of parts, prescriptive analytics might suggest that the company conducts maintenance before that maximum number of parts is reached. This would prevent unscheduled and costly downtime.
“It is also important to mention that the technologies for advanced analytics are different from those for analytics, and require different skills. These skills typically include a solid understanding of statistics, machine learning and operations research”.
However, one of Gartner’s new predictions says that through 2017, the number of citizen data scientists will grow five times faster than the number of highly skilled data scientists.
Speaking on how these citizen data scientists would work with the chief data officer, and how will the data scientists fit in the business, he said “Extracting value out of data is not a trivial task, and one of the key elements of any such “making sense out of data” program is the people, who must have the right skills.
“Data scientists are not traditional business analysts, they are professionals with the rare capability to derive mathematical models from data to reap clear and hard-hitting business benefits. They need to network well across different business units and work at the intersection of business goals, constraints, processes, available data and analytical possibilities.
“Lots of our most advanced clients are experimenting with the notions of chief data officers (CDOs) or chief analytics officers (CAOs). Sometimes the CDO/CAO will directly command a (virtual) data science lab. We think that those labs must be orchestrated virtually, with the (citizen) data scientists distributed throughout the organization”.
Gartner believes in the definition of data science as the discipline of extracting nontrivial knowledge from often complex and voluminous data to improve decision making. It involves a variety of core steps, including business and data understanding and data modeling.
Descriptive analytics tools, on the other hand, answer the question, “What happened?” They do this by querying data and summarizing key performance metrics, such as a report of annual sales by region.
E-Business
Google Blocks 5.1Bn Harmful Ads in 2024, Suspends 39m Accounts

Google’s 2024 Ads Safety Report revealed how artificial intelligence is now a frontline defense against harmful online content, blocking 5.1 billion ads, restricting 9.1 billion more, and suspending over 39 million advertiser accounts, most before a single ad was shown.
The crackdown comes as scams become more sophisticated, with many leveraging AI-generated content or impersonating public figures.
Google’s advanced AI models, powered by Gemini, helped detect fraud faster than ever, spotting signs like stolen payment info, fake businesses, or coordinated scam networks.
In Africa, including Nigeria, the impact is especially important. Impersonation scams and misleading political ads remain a major concern.
In response, Google updated its Misrepresentation policy, deployed a team of 100+ global experts, and took down over 700,000 scam-related advertiser accounts, leading to a 90 percent drop in reported impersonation scams.
With nearly half the world voting in 2024, Google also removed over 10 million election-related ads for failing to meet transparency rules requiring verified identities and clear sponsorship disclosures.
In his reaction, Alex Rodriguez, general manager for Ads Safety at Google, said these numbers show what AI can do when it’s focused on safety.
“We rolled out more than 50 AI model upgrades in 2024, helping us act faster and smarter—stopping threats before users even saw them,” Rodriguez added.
While AI handles large-scale enforcement, human reviewers now focus on complex cases.
Google continues working with global regulators, industry partners, and organizations like the Global Anti-Scam Alliance to keep ahead of evolving threats.
E-Business
DG NITDA Tasks Africa to Lead the AI Revolution Through Strategic Leadership, Inclusive Innovation

The Director General of the National Information Technology Development Agency (NITDA), Kashifu Inuwa CCIE, has urged industry leaders across the continent to integrate Artificial Intelligence (AI) into their business, organisational, and operational models to unlock new opportunities, redefine leadership, and drive smarter decision-making toward making Africa deeply rooted in AI-driven innovation.
Inuwa made this call when he spoke on “Harnessing AI for Strategic Leadership” during a panel session at the Main State of the GITEX Africa 2025 held in Marrakech, Morocco.
The aim of the panel session was essentially to explore how data-driven and intelligence-led strategies can transform business models, optimise resources, and unlock new opportunities through AI-powered processes across various nations.
Speaking to an international audience of policymakers, technologists, and investors, the DG positioned Africa, particularly Nigeria as a rising force in the global AI landscape, championing a people-first and strategy-led approach to AI development and governance.
The DG argued that to be effective in today’s dynamic environment, leaders must evolve into AI-driven leaders and leverage technology not just as a tool, but as a partner in decision-making.
“AI is shifting the skills we value today, as well as the processes we use to do our daily work, so to drive strategic leadership, you need to be an AI-driven leader and find a way to use AI as a tool to create co-intelligence whereby you bring people and computers to work together to deliver your strategic vision as a leader,” he noted.
While urging leaders to combine AI with the unique strengths of their teams to deliver real business value, Inuwa stated that “Strategy must always come first, and technology second.”
He outlined four principles for effectively utilising generative AI which are inviting AI to the tale, maintaining human oversight, designing models with guardrails, and adopting a mindset of continuous improvement.
Inuwa explained that AI is invited to the table by giving it a role in organisational tasks, maintaining human oversight to correct bias and misjudgment, designing guardrails to ensure privacy ethics, and inclusivity, and adopting a mindset of continuous improvement by treating today’s AI as the least capable version that can be used.
He however warned against the risks of deploying AI systems built on data that fails to represent the diverse realities of global societies. Stressing the need for digital visibility of all cultures and citizens, he cautioned that if data doesn’t see a community, the system won’t see it either.
Introducing NITDA’s approach to governance in regulating AI through the Regulatory Intelligence Framework that is anchored on the 3 pillars of Awareness, Intelligence and Dynamism.
“In our approach to regulating AI in governance, we have a framework we call Regulatory Intelligence Framework, which as a regulator we need to be aware of the environment, we need to be dynamic because things change, and we also need to be intelligent. We need to know the data and make sense out of it,” he disclosed.
“Then we have 2 approaches, the first one is a rule-based where you can come up with certain guidelines and expect people to comply with them and we have a non-rule based, which allows them to build use cases, and based on those use cases, put the guard rails and agree on the best practices, which is always the best when it comes to AI governance,” he added.
Envisioning Africa’s AI future in the next 5 years, Inuwa painted a visionary picture where the continent will integrate AI into solving real-world challenges in every economic sector thereby leapfrogging development gaps.
Inuwa firmly averred that by augmenting human capability with AI, the continent can unlock unprecedented levels of innovation, efficiency, and inclusive growth.
“We missed the first, second, and third industrial revolutions, but this fourth one, we must lead it and not just follow.” He concluded.
Other industry leaders who shared their experiences and insightful ideas at the panel session were the Special Envoy on Technology, Republic of Kenya, Philip Thigo, CEO Pesalink, Gituku Kirika, and the Head of Africa, Open AI, Emmanuel Lubanzadio.
E-Business
NIPOST in Intensive Care, Needs Reforms Need to – Kekemeke

Nigerian Postal Service (NIPOST) is in Intensive Care Unit (ICU) and needs urgent reforms to revive it, according to Isaac Kekemeke, board chairman of the service.
Kekemeke, who spoke at a workshop organised for NIPOST staff in Abuja yesterday, added that it is now time to go the whole hog to reform and make NIPOST fulfill its destiny to compare and compete favourably with multinational postal agencies.
“The approach may not be palatable at all times but we need to take the tough but necessary decisions to exit the intensive care unit. We are either out of ICU in good health or head for the morgue. NIPOST either functions effectively now as a commercialised state operator or gets privatised, so that myself, the PMG, and a good number of you risk the loss of our jobs,” the chairman said.
No doubt, he added, “Change is not always easy as many loathe change because of the uncertainty it brings but it is in my place to urge you all to embrace the change we advocate.”
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