Technology
Lenovo Records Strong Double-Digit Growth in Quarterly Revenue
By Modupe Gbadeyanka
Lenovo Group has announced results for its first fiscal quarter ended June 30, 2018. For the second straight quarter, Lenovo achieved strong double-digit growth in revenue year-on-year.
Group revenue reached $11.91 billion, up 19% year-on-year. The company also reported strong pre-tax income during the quarter of $113 million, an improvement of $182 million year-on-year, as profitability improved across all businesses.
In the first fiscal quarter, Lenovo’s profit attributable to equity holders grew to $77 million, up $149 million year-over-year. Basic earnings per share in the first fiscal quarter was 0.65 US cents or 5.10 HK cents.
“As we persistently execute our 3-wave strategy, all our businesses made solid improvements in both revenue and profitability. Lenovo has passed the turning point and entered a phase of ‘acceleration’ – accelerating the execution of our transformation strategy and accelerating the rising momentum in business performance,” said Yang Yuanqing, Lenovo Chairman and CEO.
“In the future, we will maintain industry leading profitability and premium to market growth in PCs; return the smartphone business to health; build the data center business into a sustainable growth and profit engine, and continue to invest in ‘Smart IoT + Cloud’ and ‘Infrastructure + Cloud’ to drive long term sustainable return.”
With this Q1 FY2018/19 earnings report, Lenovo has turned a corner in its transformation and enters a new phase of growth, thanks to meaningful progress on its strategy and focus on “Intelligent Transformation” during the quarter. Lenovo’s decisive steps to consolidate key businesses into a streamlined, integrated enterprise, along with an emphasis on dynamic revenue generators, are quickly yielding significant returns.
Last quarter, Lenovo announced the creation of its new Intelligent Devices Group (IDG), combining its Personal Computer and Smart Devices Group with its Mobile Business Group. Rethinking the ways these units and their devices interact and impact customers led to IDG’s double-digit, quarterly revenue growth year-over-year, and PC unit market share gains in every geography.
At the same time, Lenovo is not only driving, but capitalizing on, global growth trends in both software and services.
Lenovo’s key business units each tallied significant growth and market strength during the quarter: The Intelligent Devices Group is energized by the synergy of shared platforms and resources, delivered a strong revenue growth of 14% year-on-year, amounting to $9.95 billion.
During the quarter, the PC and Smart Devices (PCSD) business under IDG delivered strong double digit revenue growth for the 2nd consecutive quarter, growing 19% year to year while maintaining industry leading profitability of 5%. Lenovo is the fastest growing player (by units) among the Top five global PC makers and returned to the global PC number one leading position according to Gartner. Outside of the core PC business Lenovo continues to invest in growing its portfolio of smart devices including smart home; smart office and AR/VR.
The Mobile Business Group (MBG) under IDG improved significantly during the quarter thanks to three key measures. Firstly, the group reduced operating expenses by more than US$100 million; secondly introduced a refined product portfolio and thirdly focused on selected markets where the company can compete profitably. With the refined product portfolio in place, the company focused on mainstream segments and successfully launched Moto G and E during the quarter. Revenue and volume continued to strengthen in Latin America in particular, outgrowing the market in both for seven quarters. In North America, Lenovo’s mobile volume nearly doubled year-on-year thanks to the right scaling strategy to expand to all four major carriers.
Building on a strong Q4, Lenovo’s Data Center Group (DCG) further accelerated its momentum, reporting another record revenue quarter of US$1.6 billion, the third consecutive quarter of double-digit revenue growth, and up 67.8% compared to the same quarter a year earlier. The record high revenue was driven by growth in Software Defined Infrastructure, High Performance Computing & A.I businesses and Hyperscale. Lenovo’s software-defined products, led by the new ThinkAgile brand, once again drove more than triple-digit growth year-on-year, and along with the announcement of the new ThinkAgile CP for next-generation composable cloud infrastructure. The Hyperscale business also grew by triple-digits year-on-year while improving gross profit and diversifying the customer base. Traditional infrastructure continued on a positive trend and flash-based storage solutions showed strong momentum at 42% YOY growth. This quarter also saw Lenovo surpassing HPE to become the #1 supercomputer provider on the TOP500 supercomputing list for the first time, with 117 systems.
With an eye to the future, Lenovo’s Capital and Incubator Group (LCIG) continues to invest and build the Group’s next-generation IT capabilities in AI, IoT, Big Data and VR/AR across various sectors such as manufacturing, healthcare and transportation.
The Rise of AI Face Swap Technology
AI face swap technology has evolved from a novelty into a powerful creative tool. What once required professional video editing software and hours of manual work can now be done in seconds with a single click. Fueled by advances in deep learning and generative AI, face swap tools have become remarkably realistic and accessible. By 2026, millions of content creators, marketers, filmmakers, and everyday users rely on these tools for entertainment, business, and personal projects. As the technology matures, choosing the right tool has never been more important — or more competitive.
How to Use AI Face Swap in Your Work and Daily Life
AI face swap tools are no longer just for fun — they’re reshaping how we work and communicate:
- Content Creation & Social Media: Swap faces to create viral memes, funny videos, or personalized content that drives engagement on TikTok, Instagram, and YouTube.
- Marketing & Advertising: Brands use face swap to localize ad campaigns by replacing models with regional faces, saving time and budget on reshoots.
- Film & Video Production: Indie filmmakers use AI face swap for de-aging effects, stunt doubles, or recreating scenes without expensive CGI.
- E-Commerce & Fashion: Virtual try-on experiences let shoppers see how they’d look in different outfits or hairstyles.
- Personal Fun: Swap your face onto movie characters, historical figures, or your favorite celebrities for entertaining social content.
- Education & Training: Create realistic training simulations or educational videos with customized faces.
How to Judge a Good AI Face Swap Tool
Not all face swap tools are created equal. Here’s what to look for:
- Realism & Quality: Smooth blending, accurate skin tone matching, and consistent lighting.
- Speed: Results in seconds, not minutes.
- Ease of Use: An intuitive interface for non-technical users.
- Privacy & Security: Clear data policy — no storing images without consent.
- Multi-Format Support: Handles photos, videos, and real-time swaps.
- Customization Options: Fine-tuning for expression, angle, and lighting.
- Pricing & Value: Transparent pricing with a free tier or trial.
Part 4: Top 5 AI Face Swap Tools in 2026
🥇 1. Easemate — Best Overall Pick
Website: https://www.easemate.ai/
🔑 Key Features: Supports photo & video face swapping with real-time preview, batch processing, automatic skin tone matching, intelligent lighting adjustment, and multi-face detection for group photos. Privacy-first design — images are never stored without consent.
✅ Pros: Exceptional realism with accurate edge detection and shadow rendering. Lightning-fast even for HD video. Beginner-friendly interface with zero technical knowledge required. Flexible, affordable pricing for individuals and teams. Strong privacy policy for peace of mind.
❌ Cons: Batch video processing and 4K export require a paid plan.
2. DeepFaceLab — Best for Advanced Users & Filmmakers
🔑 Key Features: Deep neural network-based swaps with full control over face alignment, blending modes, mask refinement, and custom model training on personal datasets.
✅ Pros: Completely free and open-source. Unmatched customization for experienced users. Huge active community with tutorials and pre-trained models. Ideal for long-form video and cinematic-quality projects.
❌ Cons: Steep learning curve, requires high-performance GPU, no cloud version.
3. Reface — Best for Fun & Social Media
🔑 Key Features: Mobile-first app with a massive library of celebrity clips, movie scenes, GIFs, and meme templates. Real-time facial landmark mapping and one-tap social sharing to Instagram, TikTok, and WhatsApp.
✅ Pros: Extremely easy to use — just take a selfie and pick a template. Library updated regularly with trending pop culture content. Perfect for casual entertainment and viral social content.
❌ Cons: Mobile only; not suitable for professional or high-resolution output.
4. FaceSwapper.ai — Best for Quick, No-Fuss Photo Swaps
🔑 Key Features: Browser-based, one-click photo face swap with no account required. Supports JPG, PNG, and WEBP formats. Developer-friendly API for app integration and automated workflows.
✅ Pros: Zero-signup experience — incredibly accessible for one-off tasks. Fast, straightforward, and frictionless. Robust API for developers needing programmatic access.
❌ Cons: Limited video support and fewer customization options. Best for simple, single-image use cases.
5. Vidnoz AI — Best All-in-One Video Platform
🔑 Key Features: Full video creation suite including face swap, AI avatar generation, text-to-video, voice cloning, lip-sync dubbing, and multilingual video translation. Face swap integrates seamlessly with the broader production workflow.
✅ Pros: Outstanding value as a multi-function platform. Solid video output quality with regular improvements. Generous free tier available. Great for businesses producing localized or multilingual video content at scale.
❌ Cons: Face swap is a secondary feature — lacks the depth and advanced controls of dedicated tools.
Part 5: Conclusion
AI face swap in 2026 is smarter and more accessible than ever. Among all options, Easemate stands out as the best all-around choice — combining professional-grade quality with an effortless experience and a privacy-first approach. Start with Easemate today.
Part 6: FAQ
Q1: Is AI face swap legal?
Yes, for personal and creative use. Using it for deception or non-consensual imagery is illegal in many jurisdictions.
Q2: Is Easemate free?
It offers a free tier; premium plans unlock batch processing and high-res video output.
Q3: Can these tools work on videos?
Yes — Easemate, DeepFaceLab, and Vidnoz AI all support video face swapping.
Q4: How do I protect my privacy?
Choose platforms with clear privacy policies. Easemate is known for its privacy-first approach.
Q5: Photo vs. video face swap — what’s the difference?
Photo swap is faster and simpler. Video requires frame-by-frame processing but delivers more impressive results.
Q6: Do I need technical skills?
Not at all! Tools like Easemate are designed for everyday users — just upload and let the AI handle the rest.
By Adedapo Adesanya
Nigeria has emerged as Africa’s highest-ranked country in the latest Global Index on Responsible AI (GIRAI), climbing 42 places globally in just two years.
Nigeria rose from 80th globally in 2024 to 38th in the world with a score of 45.93.
The GIRIA ranking boosts Nigeria’s appeal as a destination for AI talent, innovation and investment.
According to the Cape Town-based independent research and policy think tank, the ranking is one of the world’s most comprehensive assessments of responsible AI. It evaluates 135 countries across five pillars: inclusion and diversity, ethics and sustainability, labour and skills, trust and safety, and AI use in public services.
Despite that rapid adoption, the report found that public governance capacity remains weak. Average GIRAI scores stand at only about 35 out of 100 globally, while evidence of implementation exists in just 55 per cent of countries with responsible AI frameworks, dropping to 45% across the Global South.
Nigeria’s rise reflects deliberate policy efforts to strengthen its AI ecosystem.
According to the Minister of Communications, Innovation and Digital Economy, Mr Bosun Tijani, the government has accelerated work on its National Artificial Intelligence Strategy (NAIS), expanded digital public infrastructure, invested in digital skills, developed governance frameworks for emerging technologies, and strengthened international partnerships to ensure AI is deployed responsibly.
“This recognition is a testament to Nigeria’s deliberate efforts to build an AI ecosystem that is inclusive, responsible, and aligned with our development priorities,” he said.
“We believe that Africa must not only participate in the AI revolution but also contribute meaningfully to shaping how these technologies are governed and deployed globally.
“Our focus remains on creating the infrastructure, talent, and policy environment that will enable AI to deliver real value for our people and support President Bola Tinubu’s vision of building a $1 trillion economy,” he added.
The report identified Nigeria as a global “Bright Spot” for combining AI skills development with safeguards for children and vulnerable groups.
The index noted that Nigeria is among the few African countries that have attempted to simultaneously prepare citizens for an AI-driven future while strengthening protections against the risks posed by emerging technologies.
It highlighted the National Artificial Intelligence Strategy, which mandates AI literacy programmes, teacher training and broader capacity-building initiatives across the country.
The report also cited the Federal Government’s flagship 3 Million Technical Talent (3MTT) programme for delivering structured AI and machine learning training through a hybrid model designed to reach young people nationwide.
In terms of regulation, GIRAI recognised the Nigeria Data Protection Act and the General Application and Implementation Directive (GAID) 2025 for introducing enhanced safeguards for children’s personal data, including parental consent requirements and restrictions on decisions based solely on automated processing.
The report said these initiatives position Nigeria as an example of how governments can pursue AI adoption without overlooking digital rights and citizen protection.
By Modupe Gbadeyanka
The need for accessible, affordable and locally relevant Artificial Intelligence (AI) to drive Africa’s digital future has been emphasised by the Managing Director of ipNX, Mr Ejovi Aror.
Mr Aror, whose paper was presented by the company’s Director of Strategic Business Initiatives, Mr Olusola Teniola, at the West Africa Telecoms Infrastructure Summit and Exhibition (WATISE) on June 18, 2028, said AI is not a new concept, but has been in existence since 1955 and is an integral part of today’s digital ecosystem, with intelligent algorithms already embedded in so-called ‘traditional’ telecommunications networks and services.
At the event held in Lagos, Mr Aror, in his paper titled Next-G Telecoms Infrastructure and Ethical AI in Networking Management, stated that, “Artificial Intelligence already shapes how networks are managed, optimised, and secured. The conversation is not about whether AI will transform telecommunications, but how we can ensure that its benefits are responsibly deployed.”
He emphasised that while Africa may not have played a leading role during the earliest stages of AI development, the continent still has a significant opportunity to shape the next phase of innovation by developing technologies that address local challenges and realities.
“Africa does not need to be solely a consumer of AI technologies developed elsewhere. There is a unique opportunity to build solutions that reflect our local contexts, address our specific needs, and create value for our economies and communities,” he stated.
The presentation also highlighted the importance of ethical considerations in AI deployment, particularly as intelligent systems become increasingly involved in network operations, service delivery, decision-making processes, and customer interactions.
Mr Aror stressed that the development of AI must be guided by principles of transparency, accountability, privacy, and inclusivity to ensure that innovation delivers meaningful benefits to society.
He further noted that the success of AI across Africa will depend on continued investment in digital infrastructure, including broadband connectivity, data centres, cloud platforms, and reliable telecommunications networks capable of supporting advanced digital services.
The discussions at WATISE 2026 reinforced the strategic importance of the telecommunications industry as the foundation of Nigeria’s digital economy. While stakeholders highlighted the role of telecom infrastructure in enabling innovation across various sectors, participants underscored the need for improved digital literacy, public awareness, and responsible use of emerging technologies.
ipNX was recognised at the event as the Best Customer-centric Telecoms Operator. As Nigeria’s leading technology and connectivity provider, the brand remains committed to advancing the infrastructure, innovation, and collaborative partnerships required to unlock the full potential of AI and support Africa’s digital transformation.
