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Gartner Highlights 10 Uses for AI-Powered Smartphones

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Artificial intelligence (AI) features will become a critical product differentiator for smartphone vendors that will help them to acquire new customers while retaining current users, according to Gartner, Inc. As the smartphone market shifts from selling technology products to delivering compelling and personalized experiences, AI solutions running on the smartphone will become an essential part of vendor roadmaps over the next two years.

Gartner predicts that by 2022, 80 percent of smartphones shipped will have on-device AI capabilities, up from 10 percent in 2017. On-device AI is currently limited to premium devices and provides better data protection and power management than full cloud-based AI, since data is processed and stored locally.

“With smartphones increasingly becoming a commodity device, vendors are looking for ways to differentiate their products,” said CK Lu, research director at Gartner. “Future AI capabilities will allow smartphones to learn, plan and solve problems for users. This isn’t just about making the smartphone smarter, but augmenting people by reducing their cognitive load. However, AI capabilities on smartphones are still in very early stages.”

10 Uses for AI-Powered Smartphones

“Over the next two years, most use cases will still exploit a single AI capability and technology,” said Roberta Cozza, research director at Gartner. “Going forward, smartphones will combine two or more AI capabilities and technologies to provide more advanced user experiences.”

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Gartner has identified 10 high-impact uses for AI-powered smartphones to enable vendors to provide more value to their customers.

“Digital Me” Sitting on the Device

Smartphones will be an extension of the user, capable of recognizing them and predicting their next move. They will understand who you are, what you want, when you want it, how you want it done and execute tasks upon your authority.

“Your smartphone will track you throughout the day to learn, plan and solve problems for you,” said Angie Wang, principle research analyst at Gartner. “It will leverage its sensors, cameras and data to accomplish these tasks automatically. For example, in the connected home, it could order a vacuum bot to clean when the house is empty, or turn a rice cooker on 20 minutes before you arrive.”

User Authentication

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Password-based, simple authentication is becoming too complex and less effective, resulting in weak security, poor user experience, and a high cost of ownership. Security technology combined with machine learning, biometrics and user behavior will improve usability and self-service capabilities. For example, smartphones can capture and learn a user’s behavior, such as patterns when they walk, swipe, apply pressure to the phone, scroll and type, without the need for passwords or active authentications.

Emotion Recognition

Emotion sensing systems and affective computing allow smartphones to detect, analyze, process and respond to people’s emotional states and moods. The proliferation of virtual personal assistants and other AI-based technology for conversational systems is driving the need to add emotional intelligence for better context and an enhanced service experience. Car manufacturers, for example, can use a smartphone’s front camera to understand a driver’s physical condition or gauge fatigue levels to increase safety.

Natural-Language Understanding

Continuous training and deep learning on smartphones will improve the accuracy of speech recognition, while better understanding the user’s specific intentions. For instance, when a user says “the weather is cold,” depending on the context, his or her real intention could be “please order a jacket online” or “please turn up the heat.” As an example, natural-language understanding could be used as a near real-time voice translator on smartphones when traveling abroad.

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Augmented Reality (AR) and AI Vision

With the release of iOS 11, Apple included an ARKit feature that provides new tools to developers to make adding AR to apps easier. Similarly, Google announced its ARCore AR developer tool for Android and plans to enable AR on about 100 million Android devices by the end of next year. Google expects almost every new Android phone will be AR-ready out of the box next year. One example of how AR can be used is in apps that help to collect user data and detect illnesses such as skin cancer or pancreatic cancer.

Device Management

Machine learning will improve device performance and standby time. For example, with many sensors, smartphones can better understand and learn user’s behavior, such as when to use which app. The smartphone will be able to keep frequently used apps running in the background for quick re-launch, or to shut down unused apps to save memory and battery.

Personal Profiling

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Smartphones are able to collect data for behavioral and personal profiling. Users can receive protection and assistance dynamically, depending on the activity that is being carried out and the environments they are in (e.g., home, vehicle, office, or leisure activities). Service providers such as insurance companies can now focus on users, rather than the assets. For example, they will be able to adjust the car insurance rate based on driving behavior.

Content Censorship/Detection

Restricted content can be automatically detected. Objectionable images, videos or text can be flagged and various notification alarms can be enabled. Computer recognition software can detect any content that violates any laws or policies. For example, taking photos in high security facilities or storing highly classified data on company-paid smartphones will notify IT.

Personal Photographing

Personal photographing includes smartphones that are able to automatically produce beautified photos based on a user’s individual aesthetic preferences. For example, there are different aesthetic preferences between the East and West — most Chinese people prefer a pale complexion, whereas consumers in the West tend to prefer tan skin tones.

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Audio Analytic

The smartphone’s microphone is able to continuously listen to real-world sounds. AI capability on device is able to tell those sounds, and instruct users or trigger events. For example, a smartphone hears a user snoring, then triggers the user’s wristband to encourage a change in sleeping positions.

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Study Reveals How Moniepoint is Powering Nigeria’s $11Bn Food Service Sector

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A new case study by Moniepoint Inc., Africa’s all-in-one financial ecosystem platform for individuals, businesses and their customers, traces four decades of Nigeria’s food service industry and reveals how the sector’s most persistent payment problems, that include settlement delays, unreliable confirmation, unchecked theft and inaccessible credit have been resolved by real-time digital infrastructure, turning food commerce into an $11.09 billion market in 2025.

The sector has undergone a massive structural shift marked by food-delivery super-apps, as well as a new generation of cloud kitchens operating without a single dining chair, with the food service industry poised to experience unprecedented growth as the Nigerian market is projected to reach $19.31 billion by 2030, growing at 11.73% annually.

The study traces the industry’s roots from the UAC-owned Kingsway Rendezvous of 1973 and the 1986 launch of Mr Bigg’s, through the rise of Chicken Republic and other quick-service chains, to the present day, where food and drinks form the second-largest merchant sector on Moniepoint’s platform, trailing only retail.

Tosin Eniolorunda, group CEO of Moniepoint Inc., noted that “Moniepoint believes financial inclusion is not just about access. It’s about dignity, about enabling people to transact on their terms. What’s happening in the food service sector today is significant. The real competitive question today is how deeply that payment infrastructure is woven into the way the business actually runs day to day.

“Moniepoint is sitting right at the centre of that shift. We are ensuring that payments are connected to inventory, inventory to recipes, recipes to procurement, procurement to credit, and credit to growth plans. By building out tools like Moniebook and Orda that match the operational reality of these culinary entrepreneurs, who act as mini-factories converting perishable raw materials into time-sensitive output, we are providing the digital operating system that drives sustainable scale for Nigeria’s socio-economic development.”

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The report finds that for most of that history, Nigerian food businesses ran almost entirely on cash, with multi-location operators managing cash across a dozen or more outlets, facing constant exposure to loss, theft and human error. The rise of bank transfers in the 2010s introduced a new pain point around confirming that the payment had actually landed before releasing an order. At peak hours, the study notes, this manual verification could add two to five minutes to every transaction, with digital infrastructure most likely to falter precisely when demand and stakes were highest, especially during Christmas, New Year’s and Eid celebrations.

The study also documents how disconnected payment and inventory systems enabled operational leakage that was structurally difficult to detect, from unaccounted stock in the kitchen to under-ringing at the till and how Nigeria’s collateral-based lending system routinely locked thriving food businesses out of credit.

The International Finance Corporation estimates that the country’s unmet MSME credit demand was $32.2 billion in 2022, a gap that falls disproportionately on women, who, the report shows, own 86.8% of businesses in the accommodation and food services sector, the most female-dominated sector in the Nigerian economy.

To address these bottlenecks, Moniepoint introduced three structural interventions that reshaped the industry’s economics. Moving away from the traditional $T+1$ bank settlement cycle, it provided instant, same-day access to funds, allowing operators to finance the next morning’s inventory directly from the previous day’s sales.

This was paired with automated transfer confirmation at the terminal to eliminate manual verification queues and an embedded lending model that used verified transaction history instead of property collateral to unlock bulk purchasing power ahead of seasonal surges. Driven by these updates and the tightening of the cashless policy, Moniepoint witnessed a 2,823% surge in QSR terminal usage.

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Beyond payments, a unified business banking dashboard replaced month-end spreadsheets with real-time, role-based visibility to curb financial misconduct across multiple branches. With Moniepoint’s launch of Moniebook and the acquisition of Orda, analysts say that the business is transitioning from a payment provider to a complete operating system, in line with its ecosystem ambition.

This integration allows culinary businesses to track ingredient depletion against precise recipes to expose hidden theft or portioning errors, while simultaneously consolidating fragmented orders from delivery apps, social media, and walk-ins into a single inventory ledger.

Some other insights from the study:

  • Transaction volume across the industry peaks at lunch, between 1 pm and 2 pm, with a second evening peak at 7 pm reaching 10 to 15 times its level at 7 am – except online food delivery, which peaks and remains strong past 10 pm.
  • Card payment activity records its biggest month-on-month jump of the year between November and December, while April is the industry’s quietest month for payment activity, running 46.3% below December’s.

This food service case study joins Moniepoint’s expanding pool of definitive thought leadership materials curated for the benefit of stakeholders, including regulators, investors, and the general public, aimed at enhancing their understanding of how digital payment ecosystems are transforming Nigeria’s commercial landscape across diverse sectors and market structures.

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Flutterwave Secures Circle Ventures Investment to Deepen USDC Payment

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Flutterwave has secured a strategic investment from Circle Ventures, the venture capital arm of Circle Internet Group, to accelerate the expansion of its USDC payments and settlement infrastructure across Africa.

This comes as demand for faster and more efficient cross-border transactions grows.

The investment strengthens Flutterwave’s ambition to integrate USDC settlement into its existing payment ecosystem, allowing businesses to receive payments in local currencies while settling in the dollar-backed stablecoin.

The company said the move would reduce settlement delays and transaction costs while enabling near-instant settlements beyond traditional banking hours.

The announcement comes after Flutterwave participated in the launch of the Circle Payments Network in 2025, marking a deeper collaboration between the two companies in advancing digital payment infrastructure across the continent.

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Flutterwave said the investment aligns with its strategy of positioning stablecoins as a key component of Africa’s financial infrastructure, while ensuring blockchain-based payment services operate within existing regulatory and compliance frameworks.

Commenting on the development, Flutterwave Founder and Chief Executive Officer, Olugbenga Agboola, said the investment would help build the infrastructure required for the next phase of global money movement from Africa.

According to him, stablecoins have evolved beyond experimentation into core financial infrastructure capable of transforming how businesses move money across borders.

“This support from Circle Ventures is about backing the rails that will power the next era of global money movement from Africa. Stablecoins like USDC are no longer an experiment; they are becoming core financial infrastructure.

“By embedding USDC settlement into our current payments infrastructure, we are building a system that lets businesses move money at the speed of the internet. This fundamentally changes how payments from Africa connect to the world, and it positions Flutterwave as the default stablecoin gateway for the continent,” Agboola said.

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CJN Warns Judges: Reject Gifts or Risk Petitions and Ruined Careers

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Justice Kudirat Kekere-Ekun, Chief Justice of Nigeria (CJN), has cautioned newly appointed judges of the lower courts against accepting unsolicited gifts, warning that such actions could expose them to petitions and erode public confidence in the judiciary.

The CJN gave the warning at the opening of an induction course for newly appointed judges in Abuja on Tuesday.

Represented by the Administrator of the National Judicial Institute (NJI), Justice Babatunde Adejumo, Kekere-Ekun urged the judges to uphold the highest standards of integrity and ensure the speedy and fair dispensation of justice.

She said judicial officers must remain above reproach in both their official and personal conduct.

“Most importantly, do not allow unsolicited gifts. You must equally avoid throwing unnecessary birthday parties. People will seize the opportunity to bring unsolicited gifts that can lead to petitions,” she said.

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The CJN also advised the judges to work harmoniously with court officials, including registrars and exhibit keepers, while maintaining professionalism in the discharge of their duties.

She urged them to familiarise themselves with court rules to avoid being misled by legal practitioners and cautioned against the excessive use of contempt powers.

“You must work harmoniously with all the officials under you and ensure that you manage them diplomatically and technically. Read the rules of court so that lawyers will not take you for a ride,” she said.

Kekere-Ekun stressed that prompt and fair determination of cases was essential to sustaining public trust in the nation’s judicial system.

In his remarks, Justice Adejumo congratulated the new judges on their appointments, describing their elevation to the Bench as a significant responsibility in upholding constitutional supremacy, the rule of law and access to justice.

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He said the induction programme was designed to equip participants with knowledge of judicial ethics, courtroom management, substantive and procedural law, and the practical skills required for effective adjudication.

Adejumo noted that the lower courts remain the first point of contact for most Nigerians seeking justice and play a critical role in the effective administration of the country’s judicial system.

He urged the judges to make the most of the training as they prepare to assume their responsibilities on the Bench.

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