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5 Core Business Areas where AI can Drive Revenue

By Kehinde Ogundare, Country Manager, Zoho Nigeria.
According to the United Nations, artificial intelligence (AI) has the potential to contribute up to $15.7 trillion to the global economy by 2030 – of which $1.2 trillion could be generated by Africa. With the potential to unlock significant growth and development in key industries across the continent, AI is fundamentally changing how businesses operate, driving innovation, improving efficiencies, and transforming lives.

Kehinde Ogundare, Country Manager, Zoho Nigeria
Businesses of all sizes that have already invested in AI are reaping its benefits, from increasing business productivity and agility to improving customer experience and decision-making with McKinsey noting that AI leaders are outperforming their industry peers by a factor of 3.4.
But if businesses are to make the most of the opportunities offered by AI, it’s also important that it be deployed in the areas where it will have the greatest impact. Here are some areas and subsequent examples of how businesses can use AI within those areas to drive revenue.
1. Finance and billing
One of the most obvious places AI can help drive revenue in a business is in finances and billing. Having an accurate, up-to-date overview of finances can help an organisation know when to invest in growth, for example. And if a business wants a steady revenue flow, it must send out bills, invoices, and payment reminders on time.
Here, AI can help in several ways. When it comes to expense bills, for example, an AI tool with built-in image recognition would allow a business to scan its bills with the system, then auto-generate the amount, place, date, time, and category of expense, helping save loads of time and effort. For billing, meanwhile, AI can greatly speed up the onboarding process for new clients by automating large parts of it. AI-powered tools can also extract relevant information from invoices, including customer details and product descriptions, and automatically populate billing systems, creating further efficiency.
2. Lead prioritisation
Another key area is new business leads. More specifically, AI can help assess the calibre of leads that the sales team is bringing in. After all, two or three great leads can be more beneficial than 10 weak ones.
Using a points-based system, AI can help score leads according to their quality. That allows the sales team to better evaluate which leads are worth pursuing. In turn, that should allow them to make more sales at a more meaningful level.
3. Improved customer experience
Customer experience (CX), rather than product or price differences, has been the major differentiator for businesses for some time now. Customers are willing to spend more, are more likely to stay loyal, and recommend a business to friends and family if they have a good experience with it.
Businesses, therefore, need to pull out more stops than ever to ensure that their customer experience really stands out. Here again, AI can be helpful. Take sentiment analysis, for example. AI can help identify the most disgruntled customers, allowing customer success teams to focus on their needs and turn their experience of the business around.
4. Better targeted marketing
The most effective marketing today is highly personalised and targeted. AI can make it significantly easier to achieve the level of targeted personalisation necessary for marketing success today. Once integrated with a company’s data, an AI marketing tool can create and hone personalised marketing content based on each individual customer’s CRM data.
5. Enhanced employee productivity
There is a strong correlation between employee productivity and revenue. Employee productivity is in turn driven by positive employee experiences. The more productive your employees are, the higher your revenues and profit margins will be. AI can help improve both productivity and the overall employee experience by automating repetitive tasks, allowing employees to focus on the kind of meaningful work that drives increased revenues.
Embrace AI, but use the right providers
While AI can add immense value when it comes to driving revenue within organisations, it’s also critical that businesses know what they’re getting into when embracing AI. That means doing comprehensive background research and ensuring that they choose tools that meet their needs and adhere to privacy best practices.
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Global South Alliance Launches $72,000 Datafication and Democracy Fund to Support 2026 Research Projects

The Global South Alliance, a coalition of 26 digital rights organizations, launched today the second edition of the “Datafication and Democracy Fund” on December 9.

Global South Alliance
The Fund will provide more US$ 72,000 to support research and advocacy projects focused on datafication and democracy to be implemented in 2026.
The Datafication and Democracy Fund was launched during the fourth edition of the Data Privacy Global Conference, organized in São Paulo, Brazil. The Global South Alliance is jointly managed by Data Privacy Brasil, Aapti Institute, and Paradigm Initiative.
The members are Asociación por los Derechos Civiles, Bolo Bhi, Center for Communication and Governance, CIPESA, Derechos Digitales, Digital Rights Foundation, Dukingire Isi Yacu, Internet Bolivia, Pollicy, Research ICT Africa, Fundación Multitudes, InternetLab, Thraets, Jokkolabs Banjul, Aláfia Lab, Centre for Policy Alternatives, KICTANET, Tech Global Institute, Freedom Forum, TEDIC, Digital Access, Center for AI and Tech Innovation for Democracy and Masaar.
The call for proposals is open to non-profit, non-governmental organizations based in the Global South working on digital rights and related public policy issues. Previously supported organizations have addressed topics such as online child protection, data governance in electoral processes, biometric technologies in stadiums and large events, mandatory biometric data collection of migrants, and discriminatory surveillance and datafication practices.
According to the launch announcement, the Datafication and Democracy Fund “aims to finance research and public policy analysis projects that address critical questions arising from the impact of datafication on democracy.” The Alliance emphasizes that “datafication is a deep and complex process of social transformation: it shapes the provision of public services mediated by information technologies, the emergence of digital public infrastructures, the data-driven nature of elections, the reconfiguration of markets and platforms, and many aspects of civic life. Beyond deliberative processes and elections, datafication exacerbates democratic challenges such as transparency, due process, and respect for citizens’ autonomy.”
Selected applicants will receive grants of up to US$ 8,000 to support their research projects. Depending on the proposals submitted, between 8 and 12 projects will be funded. All funded projects must be carried out during 2026.
Applicants are required to submit:
A one-page cover letter outlining the organization’s background, experience, and motivation for participating in the research program;
A proposal of up to five pages detailing the topic, scope, methodology, expected results, and relevance of the project to digital rights and democracy in the Global South;
A detailed budget, not exceeding US$ 8,000, specifying how resources will be allocated across the proposed project’s components.
Applications must be submitted in English by January 30th 2026, through the designated online form.
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End of an Era as Multichoice Delists from JSE After Canal+ Takeover

South Africa’s leading pay-TV operator, Multichoice, owner of DStv and Showmax, will officially delist from the Johannesburg Stock Exchange (JSE) this week following its acquisition by French media giant Canal+.

DStv
The delisting, scheduled to take effect on Wednesday, Dec. 10, 2025, also applies to Multichoice’s ordinary shares on the A2X Markets.
The move comes after Canal+ completed a Squeeze-Out of remaining shareholders, securing full ownership of the company after nearly two years of acquisition efforts.
According to the company, the delisting remains subject to regulatory approvals from the JSE, the A2X, and the South African Reserve Bank. Canal+ has pledged to comply with conditions set by South Africa’s competition authorities and intends to proceed with a secondary inward listing on the JSE within nine months of the delisting.
Founded in 1985 with the launch of M-Net, Multichoice has been a household name across Africa for four decades. It introduced DStv in 1995, expanded into multiple African markets, and launched its streaming platform, Showmax, in 2015.
In 2019, Multichoice was spun out of Naspers, South Africa’s most valuable company, and later began secondary trading on A2X in 2020.
The acquisition by Canal+ marks a significant shift in South Africa’s media landscape. Local investors will no longer be able to hold direct stakes in Multichoice, but will only gain indirect exposure once Canal+ completes its planned inward listing.
Industry analysts say the takeover underscores the growing consolidation in global media markets, with Canal+ strengthening its footprint across Africa through Multichoice’s extensive subscriber base and sports broadcasting rights via Supersport.
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How Nigerian Companies are Leading a More Responsible Digital Transformation

By Kehinde Ogundare, Country Head, Zoho Nigeria
Artificial intelligence is everywhere–in polished social media posts, in the recommendations that guide our viewing habits, and in the bots that handle customer queries before a human agent steps in. On LinkedIn, AI-assisted writing has become standard practice. A year ago, more than half of English long-form posts that went viral were estimated to have been written by or assisted by AI. If that’s the norm on the world’s biggest business network, it’s no surprise that AI is driving conversations in Nigerian boardrooms as companies move from experimentation to embedding AI into their daily operations.

Kehinde Ogundare, Country Head, Zoho Nigeria
Part of the package
The Nigeria Data Protection Act (NDPA), modelled on the European Union’s General Data Protection Regulation, together with the Nigeria Data Protection Commission, requires companies to build privacy into their systems from the outset rather than adding it later. This clear regulatory framework has evolved alongside a rapid rise in AI adoption.
New research from Zoho on responsible AI adoption highlights the impact of the regulations. As per the report, 93% of Nigerian companies have already started using AI in their daily operations; 84% have tightened their privacy controls after adoption, and 94% now have a dedicated privacy officer or team, which is well above global averages.
The survey, conducted by Arion Research LLC among 386 senior executives, shows just how deeply embedded AI has become in Nigeria. One in four companies already uses it across several departments, and nearly a third report advanced integration. Financial services firms are pioneers in this sector, using AI to automate client interactions, streamline operations and sharpen their marketing, while staying compliant with data protection rules.
The NDPA has helped make privacy part of business planning. Four in ten companies now spend more than 30% of their IT budgets on privacy. Regular audits, privacy impact assessments and explainability checks are becoming standard practice.
Skills, compliance and capacity
Rapid adoption brings challenges. More than a third of businesses say that their biggest obstacle is a lack of technical skills, and another 35% cite privacy and security risks. Instead of outsourcing, most are building capacity in-house: nearly 70% of companies are training staff in data analysis, more than half are improving general AI literacy, and 40% are investing in prompt engineering for generative tools.
The understanding of the NDPA regulation, which came into force in 2023, has also improved. 65% of organisations see compliance as essential. Many voluntarily apply data-minimisation and transparency standards even when not required to do so, aligning more closely with international norms and easing collaboration with global partners.
Privacy is increasingly influencing business decisions — from investment priorities to system design. Companies are asking tougher questions: is specific data essential? How can exposure be limited? How can fairness and transparency be proven?
Trusted systems
As privacy becomes part of how technology is built, companies are being more cautious about the tools they use because they now want systems that protect customer data, with clear boundaries between data and model training, straightforward controls, and reliable records for compliance teams.
Demand for business software that balances productivity with privacy is also growing. Zoho, among others, has seen strong customer growth as more organisations are looking for platforms that support responsible data handling.
The study identifies three main reasons behind AI adoption: to make work more efficient by automating routine tasks, to support better decision-making by identifying patterns sooner, and to improve customer engagement through faster, more relevant interactions. But none of this can succeed without trust. Nigeria’s experience shows that privacy and innovation can reinforce each other when they’re built together.
There’s still work to do because some industries are moving faster than others, and smaller businesses often face the biggest hurdles in time, cost and skills. Enforcement is also patchy; while the law is clear, application across sectors and geographies is a work in progress.
The next steps are more practical, requiring investment in skills – from data analysis and AI literacy to sector-specific training – and for governance to be put in place, with clear responsibilities, written policies, and a plan for managing errors or breaches. Privacy impact assessments should become part of every new system rollout, enabled by technology.
As AI becomes fundamental to doing business, Nigerian companies that build it carefully and responsibly will be better able to compete at home and abroad.
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