NITDA to Hold Stakeholders Engagement on Data Strategy November 11 – Business Post Nigeria

By Adedapo Adesanya
The National Information Technology Development Agency (NITDA) will hold a virtual stakeholders engagement on national data strategy on Friday, November 11.
This is happening as the rapid increase in the digital transformation of economic and social activities has resulted in an unprecedented expansion of data collection and usage.
In line with its mandate provided in section 6 of the NITDA Act 2007 to standardize, coordinate and develop regulatory frameworks for all Information Technology (IT) practices in Nigeria, the regulator has developed a draft National Data Strategy (NDS), in line with the National Digital Economy Policy and Strategy (NDEPS) for a digital Nigeria.
In accordance with the NDEPS, which provides a solid foundation for the Nigerian economy to be data-driven, the NDS aims to harness the potential of data for social and economic value creation towards achieving a robust digital economy and ensuring Nigeria becomes a top leader in the global data economy.
The NDS is developed to accelerate the adoption and use of digital technologies, especially emerging technologies, for data collection, validation, storage, analysis, transmission, and reporting.
NITDA noted that once put in place, this will enhance research and innovations, digital services, digital economy, job creation, improved quality of life, social and economic growth and prosperity, global competitiveness and sustainable development.
Additionally, in line with global best practices, the NDS was developed on principles that will ensure fairness in the digital space, stimulate a competitive data market, open opportunities for data-driven innovation and make data more accessible for all.
In view of the foregoing and as part of NITDA’s stakeholder approach to the development of policy documents, the Agency wishes to invite all critical stakeholders and interested parties to a stakeholder engagement for the review of the draft NDS.
The programme will commence by 10 am WAT, and interested parties can join via
The Draft National Data Strategy is available on the NITDA’s website
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Adedapo Adesanya is a journalist, polymath, and connoisseur of everything art. When he is not writing, he has his nose buried in one of the many books or articles he has bookmarked or simply listening to good music with a bottle of beer or wine. He supports the greatest club in the world, Manchester United F.C.
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By Aduragbemi Omiyale
On Tuesday, November 29, 2022, individuals and businesses will receive practical steps to check cyber-attacks at the annual cyber security conference of the Information Security Society of Africa, Nigeria (ISSAN) themed Cyber Security Imperatives for Business – Practical Considerations.
The hybrid programme, which starts at 9 am, is open to public and private sectors, including large corporates, small and medium-scale enterprises, educational institutions, government agencies and all stakeholders that are impacted by the cyber-ecosystem in any way.
According to the president of ISSAN, Dr David Isiavwe, the conference, which members of the public can be part of via Zoom, will be devoted to further exposing the new threats and trends in the cyber security space and also offer practical steps on what businesses and individuals need to know and do to check the rising tide of the activities of cyber-criminals.
He observed that cyber attackers are getting more sophisticated globally, which is an aftermath of the COVID-19 pandemic, stressing that greater awareness must be created to minimize attacks on businesses that may result in losses by various organisations.
“There is an urgent need to evolve a strengthened cyber-security system in Nigeria because of the growing digitalisation of the country’s economic and social interactions as people now work from home and anyone with a smartphone could hop into cyberspace from anywhere and attack nation-states, organisations, and individuals. This means that the threat landscape has just expanded significantly across the borders of any organization or country.
“The first thing that ISSAN is doing is advocacy. We are engaging all key stakeholders to ensure that there is adequate and constant collaboration. Everybody must work together because the entire cyberspace is as secure as its weakest link,” Mr Isiavwe said.
Further, the ISSAN leader, who is also a General Manager at Ecobank, disclosed that highly experienced subject matter specialists had been assembled to provide further insights on how the ecosystem can be better protected, noting that large sums of money are usually at risk in every successful attack.
The keynote address will be delivered by the Director of Payment Systems Management at the Central Bank of Nigeria (CBN), Mr Musa Itopa Jimoh and the Director of IT at the apex bank, Mrs Rakiya Mohammed.
The speakers include Managing Director/Chief Executive Officer, Digital Jewels Limited, Mrs Adedoyin Odunfa; Founder & CEO, Mint FT Innovative, Mr Similolu Akinnusi; Chief Information Security Officer, First Bank of Nigeria, Mr Harrison Nnaji and MD, Cybertech NX, Dr Austine Ohwobete.
Others are Managing Partner, Technology Advisors LLP, Basil Udotai, Esq; Group Head, Customer Fulfilment Centre, UBA, Mr Prince Ayewoh; Chief Executive, Stanbic IBTC Financial Services Limited, Mr Stanley Jacob; Sales Director (Africa), OneSpan Europe, Mr Nicholas Poire and Field CTO, OneSpan Europe, Mr Dan Mcloughin.
By Adedapo Adesanya
Flapmax, a data and Artificial Intelligence (AI) technology company, has announced the launch of AI Builders Garage, a global on- and offline platform designed to help young entrepreneurs and developers transform innovative ideas into sustainable business solutions.
The AI Builders Garage offers three critical pathways for young professionals into innovation and technology career paths: Youth Entrepreneurship, Sustainable AI Hackathon, and Flapmax Community, and is designed to attract and promote both conventional and unconventional talent from around the world.
Speaking on this, Mr Dave Ojika, founder and CEO of Flapmax, said, “Flapmax and our global partners are working together to create more opportunities for the next generation of innovators, developers, and entrepreneurs to advance their ideas in AI sustainability and build mission-driven businesses.
“We are proud to launch a global platform to bring together industry leaders with fresh faces, along with new venture capital and training opportunities. The AI Builders Garage is the future of collaboration and advancement through technology as we break down global borders and support the next generation of innovators and founders.”
Beginning on December 1, an online AI Summit will kick-start the new AI Builders Garage, with a focus on digital transformation for emerging markets. Attendees will learn more about the new tools and technology launched to help young entrepreneurs connect and grow. Sustainability is a top priority for global leaders and Flapmax, with a focus at the event on how AI and other emerging technologies can be used to prevent and reverse environmental impacts.
At the Flapmax AI Summit, shortlisted AI Builders Garage candidates will present their AI sustainability solutions during a live hackathon, with prizes awarded to the top presenters.
To this end, Mr Bernard Irungu, Programme Manager, Flapmax, said developing talent in an economy with a high unemployment rate “is a challenge that is hampered by lack of resources and opportunities to pitch ideas, meet investors, and collect valuable feedback.”
“The launch of the AI Builders Garage is part of a global, continued effort to advance underserved communities through technology. We understand and value the collective contributions of developers, entrepreneurs, and professionals as we work together to solve the world’s most pressing problems,” he said.
Application to the AI Builders Garage and the upcoming summit is open until November 30, 2022. Youth Entrepreneurship track applicants must demonstrate how AI can be used to solve business challenges, especially in the areas of hospitality, education, health, financial services, agriculture, transportation, eCommerce, and manufacturing.
Those selected will have an opportunity to build their use cases and present it at the AI Summit to a panel of technology and business leaders. Sustainable AI Hackathon participants will build an AI model or solution addressing sustainability. The Flapmax Community is open to all developers, entrepreneurs, researchers, and professionals who are interested in collaborating on technology solutions. The community serves as a showcase for new projects, a hybrid accelerator for new entrepreneurs and developers, an industry networking platform, and a recruitment tool for technology leaders.
Both Youth Entrepreneurship and Sustainable AI Hackathon track participants will be introduced at the inaugural FAI Summit.
By Adedapo Adesanya
The exploration algorithms for stochastic multi-armed bandits (MABs)–sequential decision-making problems under uncertain environments–typically assume light-tailed distributions for reward noises.
However, real-world datasets often show heavy-tailed noise. In light of this, researchers from Korea propose an algorithm that can achieve minimax optimality (minimum loss under maximum loss scenario) with minimal prior information.
Superior to existing algorithms, the new algorithm has potential applications in autonomous trading and personalized recommendation systems.
In data science, researchers typically deal with data that contain noisy observations. An important problem explored by data scientists in this context is the problem of sequential decision-making. This is commonly known as a “stochastic multi-armed bandit” or (stochastic MAB).
Here, an intelligent agent sequentially explores and selects actions based on noisy rewards under an uncertain environment. Its goal is to minimize cumulative regret–the difference between the maximum reward and the expected reward of selected actions. A smaller regret implies more efficient decision-making.
Most existing studies on stochastic MABs have performed regret analysis under the assumption that the reward noise follows a light-tailed distribution. However, many real-world datasets, in fact, show a heavy-tailed noise distribution.
These include user behavioural pattern data used for developing personalized recommendation systems, stock price data for automatic transaction development, and sensor data for autonomous driving.
In a recent study, Assistant Professor Kyungjae Lee of Chung-Ang University and Assistant Professor Sungbin Lim of the Ulsan Institute of Science and Technology, both in Korea, addressed this issue. In their theoretical analysis, they proved that the existing algorithms for stochastic MABs were sub-optimal for heavy-tailed rewards.
More specifically, the methods employed in these algorithms–robust upper confidence bound (UCB) and adaptively perturbed exploration (APE) with unbounded perturbation–do not guarantee a minimax (minimization of maximum possible loss) optimality.
“Based on this analysis, minimax optimal robust (MR) UCB and APE methods have been proposed. MR-UCB utilizes a tighter confidence bound of robust mean estimators, and MR-APE is its randomized version. It employs bounded perturbation whose scale follows the modified confidence bound in MR-UCB,” explains Dr Lee, speaking of their work, which was published in the IEEE Transactions on Neural Networks and Learning Systems on 14 September 2022.
The researchers next derived gap-dependent and independent upper bounds of the cumulative regret. For both the proposed methods, the latter value matches the lower bound under the heavy-tailed noise assumption, thereby achieving minimax optimality.
Further, the new methods require minimal prior information and depend only on the maximum order of the bounded moment of rewards. In contrast, the existing algorithms require the upper bound of this moment a priori–information that may not be accessible in many real-world problems.
Having established their theoretical framework, the researchers tested their methods by performing simulations under Pareto and Fréchet noises. They found that MR-UCB consistently outperformed other exploration methods and was more robust with an increase in the number of actions under heavy-tailed noise.
Further, the duo verified their approach for real-world data using a cryptocurrency dataset, showing that MR-UCB and MR-APE were beneficial–minimax optimal regret bounds and minimal prior knowledge–in tackling heavy-tailed synthetic and real-world stochastic MAB problems.
“Being vulnerable to heavy-tailed noise, the existing MAB algorithms show poor performance in modelling stock data. They fail to predict big hikes or sudden drops in stock prices, causing huge losses. In contrast, MR-APE can be used in autonomous trading systems with stable expected returns through stock investment,” comments Dr Lee, discussing the potential applications of the present work.
“Additionally, it can be applied to personalized recommendation systems since behavioural data shows heavy-tailed noise. With better predictions of individual behaviour, it is possible to provide better recommendations than conventional methods, which can maximize the advertising revenue,” he concludes.
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