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Prateek Suri, Maser CEO, Unveils Bold AI Projections for 2024: Navigating the Future of Consumer Electronics

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Maser CEO, Prateek Suri, shares his predictions for the AI landscape in 2024.

Predictions for GenAI in Consumer Electronics: Navigating the  Landscape in 2024

2024 marks a significant milestone for the consumer electronics industry as GenAI, a transformative force in artificial intelligence, begins its journey into the mainstream. Here are the key trends and predictions for this groundbreaking year:

  1. Skyrocketing GenAI Investments and the Reshaping of Consumer Electronics

The focal point of the battleground will revolve around the competition between ‘Open Source vs. proprietary models,’ causing a shift in the competitive landscape and the dynamics of IP protection. This has the potential to influence OpenAI’s position by late 2024 and Q2 2025.

The consumer electronics industry is on the cusp of a paradigm shift, fueled by the continued high investments in Generative AI (GenAI) startups. These investments, projected to surpass $50 billion by 2025, are driven by the immense potential of AI to reinvent how we interact with our devices. At the heart of this revolution lies the battle between two key model types:

Large Language Models (LLMs): These versatile, open-source models like Jurassic-1 Jumbo and Megatron-Turing NLG can generate text, translate languages, and write different kinds of creative content. Their strengths lie in their adaptability and accessibility, fostering a vibrant ecosystem of innovation.

Limited Model Markets (LMMs): Developed and owned by individual companies, LMMs are hyper-focused on specific tasks like speech recognition or image generation. While less versatile, they offer superior performance and tighter integration with hardware, making them ideal for consumer electronics applications.

This “Open Source vs. Proprietary” model clash will significantly impact the competitive landscape. Open-source LLMs empower smaller players to compete with established giants, democratizing access to cutting-edge AI technology.

However, LMMs, backed by vast R&D resources of large corporations, can offer more refined and optimized experiences, potentially creating walled gardens of exclusive features.

This dynamic will play out in exciting ways. Imagine smart speakers powered by LLMs that can hold nuanced conversations, adapting to your unique preferences and evolving over time through community contributions. Conversely, picture personalized fitness trackers with LMM-powered coaches delivering real-time training plans tailored to your biometrics and preferences.

Ultimately, the winners will be the consumers. The influx of GenAI investments will not only drive down prices but also lead to a wider range of intelligent devices catering to diverse needs and budgets. Whether it’s open-source LLMs fostering collaboration or proprietary LMMs pushing the boundaries of performance, the future of consumer electronics is undeniably AI-powered, and the possibilities are as limitless as our imagination.

  1. Sustainable Tech Winners:

Companies that manage to achieve revenue growth outpacing energy consumption evolution by 5 or 6 times will emerge as the true winners in the GenAI landscape. Balancing the benefits of AI adoption with energy efficiency will be crucial for sustained success.

  1. Mass Adoption of GenAI in Workstations:

GenAI is expected to witness mass adoption in workstations, either through software packages or opt-in features, influencing how individuals interact with technology in their daily lives.

  1. Reinvention of the Consumer Marketplace:

A promising start to a GenAI-fueled reinvention of the consumer marketplace is anticipated. This transformation will likely lead to innovative and personalized consumer experiences driven by AI.

One of the big smartphone makers launched a new generative artificial intelligence platform directly aimed at challenging ChatGPT, setting the stage for global rivalry in the evolution and leadership in the GenAI space.

  1. Advancements in Specialized LLMs:

Specialized Open Source Large Language Models (LLMs) will make significant strides in conversational voice, speech, videos, and connectivity.  In 2024, it is foreseen that specialized Open Source Large Language Models (LLMs) will come to the forefront, demonstrating high-performance capabilities across diverse sectors such as Biology, Chemicals, Logistics, and Energy, acting as transformative catalysts.

Goldman Sachs, in an October report, revised its estimates, anticipating that generative artificial intelligence will make a more substantial contribution to the global gross domestic product in the next decade. The revised range is now expected to be between 10% and 15%, surpassing the previously estimated range of 7% to 13%.

Potential Threats:

  1. GenAI-Fueled Cybersecurity Attacks:

Voice of SecOps Report showed that 75% of security professionals witnessed an increase in attacks over the past 12 months, with 85% attributing this rise to bad actors using generative AI.  The looming threat of impactful GenAI-fueled cybersecurity attacks requires heightened vigilance and robust security measures to safeguard against potential risks.

  1. BYOAI (Bring Your Own AI) Threat:

Companies should embrace a bottom-up approach to AI adoption at the edge, guiding it instead of obstructing it. Establishing an AI Center of Excellence serves as a framework to ensure that Bring Your Own AI (BYOAI) aligns with organizational goals and ethical considerations. Given the widespread integration of AI into smartphones and devices, the implementation of responsible data governance becomes imperative.

  1. Legal Challenges:

Legal battles over intellectual property rights would be on the increase, especially if GenAI systems incorporate patented technologies or if there are disputes regarding the ownership of algorithms, datasets, or specific functionalities. This may slow down GenAI deployment and could be worsened by politics with the 2024 US elections in sight.

At Maser, we are at the forefront of transformative programs aligned with these trends:

  1. Strategic Transformations: Unleashing the Business Impact of GenAI at Maser

We have chosen to cultivate proprietary generative AI models, driven by a strategic imperative to bolster security and privacy. Our decision is rooted in the intention to mitigate dependence on open-source models such as ChatGPT or Bard, aiming to safeguard sensitive information.

I expect this trend to persist among major corporations, conducting controlled experiments with internal generative AI platforms to enhance operational efficiency. These endeavors, though seemingly “small,” hold substantial value in shaping the trajectory of future generative AI applications.

  1. Maser’s GenAI Impact

In the cutthroat world of tech, I believe mere innovation isn’t enough. To truly dominate, we’re spearheading a silent revolution: building a proprietary AI platform fueled by curated datasets and governed by rigorous AI governance. This isn’t just about throwing money at algorithms; it’s about meticulous change management, ensuring every department embraces, understands, and utilizes this powerful tool. The result?

Unmatched quality and real-time reportage, empowering Maser to outmaneuver competitors at every turn. Imagine optimizing production lines with AI-powered predictive maintenance, crafting hyper-personalized marketing campaigns based on proprietary customer data, or even developing revolutionary new products, all within the secure confines of own AI ecosystem. This is the future Maser is building, brick by meticulously-governed brick, and it’s a future no competitor can afford to ignore.

  1. CorpGPT Innovation: Shaping Future Corporate AI

We aspire to deliver an all-encompassing mobile AI experience, merging on-device AI innovations from Maser and cloud-based AI through collaborative partnerships with industry leaders who share our vision. Our goal is to revolutionize users’ mobile interactions, providing a heightened sense of privacy assurance.

Maser is at the forefront of molding the GenAI enterprise platform, prioritizing privacy, interoperability, and maximizing value. Through the seamless integration of diverse datasets, adherence to transparent AI policies, and the establishment of a robust multi-cloud infrastructure, Maser is shaping the trajectory of AI evolution in the consumer electronics industry.


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E-Business

NDPC Warns of Offshore Data Risks as 90 Percent of Country’s Data is Hosted Abroad

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Nigeria Data Protection Commission (NDPC) has raised concerns over data sovereignty, national security as well as loss of economic value, as over 90 per cent of Nigeria’s data is hosted abroad.

NDPC Warns of Offshore Data Risks as 90 Percent of Country’s Data is Hosted Abroad

Pic credit…247digitize.com

Vincent Olatunji, national commissioner/CEO, NDPC, stressed the importance of safeguarding Nigeria’s digital economy through strong data protection and privacy frameworks.

He spoke while while delivering a keynote address at the IoT West Africa Conference, where he stated that the trend poses significant risks to Nigeria’s control over its digital assets.

He further described the situation as precarious for the nation’s sovereignty, and called for urgent investment in local data infrastructure.

Olatunji, highlighted data sovereignty, the growing role of data centres, and regulatory expectations under the Nigeria Data Protection Act, 2023, noting both the benefits of compliance and the risks of non-compliance. Olatunji underscored that data centres are now critical infrastructure for Nigeria’s digital transformation.

While decrying that over 90 percent of the Nigeria’s data is hosted abroad which is precarious for the nation’s sovereignty he encouraged for more investment in the sector as it is projected to reach $1.9 billion by 2031.

Also speaking, Kashifu Inuwa, the director-general of the National Information Technology Development Agency (NITDA), said policy is emerging as the key driver of Nigeria’s digital transformation, particularly in shaping the development of the Lagos-Abuja digital corridor.

“While infrastructure responds to demand, policy creates the enabling environment for sustainable growth,”

Inuwa who was represented by Aristotle Onumo, director, stakeholders management and partnership at the IoT West Africa Conference in Lagos, on the theme “The Lagos-Abuja Digital Corridor: Building Africa’s Next Data Centre and Cloud Hub.”

Inuwa emphasised that while infrastructure responds to demand, policy remains the critical driver that creates an enabling environment for sustainable digital growth.

He explained that Nigeria’s broadband policy, which stipulates minimum speeds of 10 Mbps for rural areas and 25 Mbps for urban centres, provides a strategic framework for prioritising infrastructure deployment along the Lagos-Abuja digital corridor.

He cautioned, however, that without deliberate collaboration and partnership between government, the private sector, and civil society, widespread infrastructure rollout would remain challenging. “Collaboration is the pathway that massifies impact, while partnership harnesses collective intelligence. No one can achieve this in isolation,” he said.

Inuwa also spoke on the Nigerian Sovereign Cloud Project; a flagship initiative aimed at strengthening indigenous cloud service providers and preventing the dominance of Nigeria’s digital infrastructure by foreign hyperscale operators.

By scaling local infrastructure to meet global standards, the project seeks to domesticate data hosting, reduce operational costs, and improve access to cloud services across the country.


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Opay Plans IPO in US, Targets $4Bn in Valuation

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Opay, a financial technology (fintech) firm, is working with Citigroup Inc., Deutsche Bank AG, and JPMorgan Chase & Co. for an initial public offering (IPO).

Opay Plans IPO in US, Targets $4Bn in Valuation

According to a report by Bloomberg on Friday,  sources said the platform, backed by SoftBank Group Corp., is considering a listing in the United States and is targeting a valuation of about $4 billion.

They added that the company could proceed with the share sale later this year, although the timing and size of the offering are yet to be finalised.

Opay is one of Africa’s fastest-growing fintech firms, offering mobile payments, transfers, and other financial services across Nigeria.

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The fintech company, Citi, Deutsche Bank, and JPMorgan have not publicly commented on the IPO plans.

Like Opay, Flutterwave, a major fintech company in Africa is planning an IPO.

 


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How Nigerians Search is Changing — and Why it Matters for Our Businesses

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By Olumide Balogun

There was a time when using a search engine felt like cracking a code. You typed two or three carefully chosen keywords, hoped the machine understood, and waited to see what came back. People had to learn the language of machines, shrinking complex needs into stilted phrases.

How Nigerians search is changing — and why it matters for our businesses

Olumide Balogun, Director, West and East Africa at Google.

That era is ending. Today, a person can ask a question the same way they would ask a colleague, and the technology is finally learning to respond in kind. Nowhere is this shift more visible than in Nigeria, where a young, mobile-first population expects tools to keep pace with how they actually think and speak.

This change carries weight far beyond convenience. It is reshaping how Nigerian businesses reach customers and how customers find what they need.

For years, marketing online meant wrestling with rigid keyword lists. A small business owner had to guess every possible phrase a customer might type. If you sold ankara dresses, you tried “ankara dress,” “Nigerian print fabric,” “traditional wear Lagos,” and a dozen variations, hoping you covered the gaps. Anything you missed was a missed customer

The new wave of conversational search makes those lists feel ancient. People now ask layered, specific questions: “Where can I find a sustainable tailor in Yaba who makes office wear?” Older systems would have stumbled on a query like that. Newer ones, powered by artificial intelligence, can read intent and stitch ideas together. They connect a question to a relevant local website that a basic keyword search might never have surfaced.

The shift is starting to show up in concrete tools. Google’s AI Max for Search ads, now a year old, is one of the more visible examples. In plain terms, it lets a business describe what it sells and who it serves in everyday language, and the system figures out which searches to match it to, instead of forcing the owner to write hundreds of keywords by hand. Early adopters report stronger revenue growth than peers, and users say results feel more useful because the technology connects ideas for them, often surfacing local sites that would not have appeared before.

There is a quieter benefit too. When advertising becomes more relevant, it stops feeling like an interruption. An ad that answers a real question is no longer noise; it is information. That changes the texture of the internet. The marketplace gets less cluttered, and people spend less time wading through results that do not fit what they were looking for.

None of this is automatic. The technology only works if it can understand human nuance, and human nuance in Nigeria is not the same as human nuance in California. A search for “owambe outfit” or “small chops for fifty people” demands cultural context, not just linguistic translation. Newer features try to bridge that gap. AI Brief, a part of the same Google toolkit, lets a business owner type plain instructions, like “focus on sustainable traditional wear, keep a premium tone,” and the system follows them. This is steering by intent, not by keyword bingo.

There are gains for businesses with deep catalogues too. A retailer with thousands of items no longer has to match every question to the right page by hand. Tools such as Google’s Final URL Expansion read the search and send the customer straight to the page that fits, in real time. In travel, finance, and healthcare, where compliance matters, the same systems can carry mandatory legal text into every ad automatically. Regulated industries can grow without cutting corners.

These are not abstract wins. They are the difference between a small business being found by a customer in Abuja at 9 p.m. and being lost in a sea of generic results, between a hospital reaching the right patient and a tailor in Surulere being discovered by a bride planning her wedding.

We should not pretend the transition is finished. AI is imperfect. It can misread context, amplify mistakes, and require careful oversight. Regulators, businesses, and users all have a role in shaping how it develops in our market. The broader direction, however, is clear, and it is one Nigeria should engage with rather than resist.

Nigeria is a nation of storytellers and traders. Our markets, physical and digital, have always been about conversation. The technology of search is finally beginning to mirror that. It is becoming less of a vending machine and more of a market stall, where you can ask a question, get a real answer, and discover something you did not know you needed.

That is the bigger story behind any single product launch. It is about how a country full of voices is finding new ways to be heard. For Nigerian businesses willing to adapt, the opportunity has never been clearer.


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