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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.”

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

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.

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

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.

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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Trump Says He Made no Mistake Sharing Video Depicting Obamas as Apes

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United States President Donald Trump has said he made no mistake for a video briefly shared on his official Truth Social account that depicted former President Barack Obama and former First Lady Michelle Obama as apes.

Trump Says He Made no Mistake Sharing Video Depicting Obamas as Apes

Former President Barack Obama

Speaking late Friday to reporters accompanying him aboard Air Force One, Trump insisted he made no mistake by sharing the video and does not need to apologise.

“I didn’t make a mistake,” he said.

Trump explained that he did not watch the entire clip before it was posted.

“I didn’t see the whole thing. I looked at the first part, and it was really about voter fraud in the machines, how crooked it is, how disgusting it is.

“Then I gave it to the people. Generally, they look at the whole thing. But I guess somebody didn’t,” he said.

When asked directly whether he condemned the video’s content, Trump replied, “Of course I do.”

The video, which was posted late Thursday, pushed a conspiracy theory about voting machines used during the 2020 election and included a racist depiction of the Obamas.

It remained on Trump’s Truth Social account for about 12 hours before being deleted on Friday morning, following widespread bipartisan calls for its removal.

The White House initially defended the post in an emailed statement to reporters on Friday morning by Karoline Leavitt, Press Secretary,.

She said, “This is from an internet meme video depicting President Trump as the King of the Jungle and Democrats as characters from The Lion King.”

Leavitt added, “Please stop the fake outrage and report on something today that actually matters to the American public.”

Hours after the statement was issued, the video was removed from Trump’s official Truth Social account.


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Orya, Ex-NEXIM MD Jailed 490 Years for N2.4Bn Fraud

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Roberts Orya, MD, NEXIM Bank
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Robert Orya, former managing director, Nigerian Export-Import Bank, (NEXIM), has been sentenced to a cumulative 490 years’ imprisonment over a N2.4 billion fraud, following his conviction by a Federal Capital Territory (FCT) High Court in Abuja.

Orya, Ex-NEXIM MD Jailed 490 Years for N2.4Bn Fraud

The conviction was secured  by the Economic and Financial Crimes Commission (EFCC). Justice F. E. Messiri sentenced Orya to 10 years’ imprisonment on each of the 49 counts brought against him, with the sentences running cumulatively.

Orya, who headed NEXIM Bank between 2011 and 2016, was prosecuted by Samuel Ugwuegbulam, EFCC counsel.

The anti-graft agency accused him of fraudulently diverting funds belonging to the bank—charges the court held were proven beyond reasonable doubt.

Delivering judgment, Justice Messiri ruled that the prosecution successfully established its case, finding the former bank chief guilty on all 49 counts of fraud.

The conviction has been widely linked to the renewed momentum within the EFCC under Mr. Ola Olukoyede, its Chairman, whose leadership has seen a reinvigoration of the agency’s resolve to pursue high-profile corruption cases to their logical conclusion.

Since assuming office, Olukoyede has repeatedly vowed that no individual, regardless of status or past influence, would be shielded from accountability.

Under his stewardship, the EFCC has intensified the prosecution of complex financial crimes, particularly cases involving public institutions and large-scale diversion of funds.

Observers say the sentencing of a former chief executive of a government-owned bank underscores the EFCC’s determination to restore public confidence in the anti-corruption fight and sends a strong signal that financial misconduct will attract severe consequences.

The judgment is regarded as one of the most significant convictions secured against a former banking chief in recent years, reinforcing the agency’s resolve to clamp down on economic crimes within Nigeria’s financial sector.

During his tenure at NEXIM Bank, Orya was initially credited with efforts to reposition the institution to support non-oil exports and improve its financial standing after earlier setbacks.

However, his administration later became enmeshed in controversies, including allegations of loan disbursement irregularities and procedural abuses.

The case, which culminated in Thursday’s judgment, centred on findings that Orya diverted public funds estimated at N2.4 billion—offences that ultimately led to his conviction and lengthy prison sentence.


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NRS Chairman Outlines Ways Nigeria can Move from Potential to Economic Prosperity

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Zacch Adedeji, chairman of the Nigeria Revenue Service (NRS) has called for a paradigm shift in dependence on raw material exports to one that embrace ideas, innovation and the production of complex products as a pathway to sustainable economic growth and national prosperity.

Adedeji made the submission while delivering the maiden distinguished personality lecture of the Faculty of Administration, Obafemi Awolowo University (OAU), Ile-Ife, Osun State, on Thursday.

A statement by his Special Adviser on Media, Dare Adekanmbi, said Adedeji, in the lecture entitled, ‘From Potential to Prosperity: Export-led Economy’, stressed the need to rethink growth through the lens of complexity by not just producing more of the same stuff.

He lamented that Nigeria possesses a high-tech oil sector and low-productivity informal sector as well as lacking “the vibrant, labour-absorbing industrial base that serves as a bridge to higher complexity.”

The NRS boss stated that Nigeria witnessed stagnation in its exportation drive for three decades between 1998 to 2023, and only added six new products in its export basket list between 2008 and 2023.

“Because of our current position, the Harvard Atlas concluded that we are positioned to take advantage of very few opportunities to diversify using what we already know.”

Adedeji urged Nigeria to learn from the world by comparative study of success and failure like Vietnam, Bangladesh, Indonesia, South Africa and Brazil.

“We are not just looking at numbers in a vacuum; we are looking at the strategic choices made by nations like Vietnam, Indonesia, Bangladesh, Brazil, and South Africa over the same twenty-five-year period. While there are many ways to under perform, the path to success is remarkably consistent: it is defined by a clear strategy to build economic complexity.

“When we put these stories together, the divergence is clear. Vietnam used global trade to build a resilient, complex economy, while the others remained dependent on natural resources or a single low-tech niche.

“There are three big lessons here for us in Nigeria as we think about our roadmap. First, avoiding the resource curse is necessary, but it is not enough. You need a proactive strategy to build productive capabilities.

“Vietnam’s success came from integrating itself into Global Value Chains (GVCs). They positioned themselves as the assembly hub for the world’s electronics, importing high-tech parts and exporting finished products.

“This allowed them to “borrow” technology and management skills from abroad to build their own know-how.

“Nigeria, on the other hand, remains a supplier of raw materials to these chains, not an active participant within them. We must realise that productive capabilities are not permanent. The examples of South Africa and Brazil show us that you can actually lose your industrial edge if you are not careful. Over-reliance on the easy path of resource extraction creates economic and political incentives that crowd out the difficult, long-term work of building an industrial base.”

He added that for Nigeria, which is at an even earlier stage of development and even less diversified than these nations, the warning is stark.

“Relying solely on our natural endowments isn’t just a path to stagnation; it’s a path to regression. The global economy increasingly rewards knowledge and complexity, not just what you can dig out of the ground. If we want to move from potential to prosperity, we must stop being just a source of raw materials and start being a source of ideas, innovation, and complex products.

He added that President Bola Tinubu has already begun the difficult work of rebuilding the economy to ensure collective knowledge to innovate, produce and build a resilient economy.

“The journey from potential to prosperity is not a short one, but with the right map and the right resolve, it is a journey we can finally complete,’ he added.

 


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