Category: #AI

Aceii One: The Carry-On Tennis Partner Powered by AI

Aceii is launching Aceii One, an intelligent tennis ball machine that feels like hitting with a live partner. Unlike traditional machines, Aceii One combines dual-camera vision to track every shot in real time, rapid baseline movement to reposition instantly, and a dual-stage serving system that delivers lifelike spin, speed, and placement at intervals as fast as 0.5 seconds. The result: unpredictable, human-like rallies that turn solo practice into real match play—while also keeping training engaging with global app challenges, personalized coach feedback, and a portable design that folds into the size of a 20-inch carry-on.

“Until now, tennis players had to choose between predictable ball machines and the challenge of live practice. Aceii One changes that balance by bringing AI-powered intelligence onto the court,” said Ricky Liu, Founder and CEO of Aceii. “Our vision is to empower players at all levels with professional-grade training that is realistic, accessible, and portable.”

What Makes Aceii One Different

Aceii One is built on the idea that real progress in tennis requires more than repetition. True growth comes from a balance of drills for consistency, match play for adaptability, and coaching for guided improvement. By uniting these three pillars into one system, Aceii One delivers a full-circle training experience that mirrors how athletes train with human partners. This structure ensures players build reliable fundamentals, sharpen competitive instincts, and receive personalized feedback — all in one portable carry-on device.

Drills｜Real Partner-Like Rally Flow

Aceii One delivers continuous, game-style rally training with real-time shot recognition and dynamic response — no robotic, predictable feeds. Every drill feels like hitting with a live partner.

Dynamic Tracking｜Power On & Play

  • Dual-Camera Vision: Tracks every movement and shot without external sensors.
  • Adaptive Exposure: Plays reliably indoors, outdoors, day or night.

Reads Your Shot, Gets There First

  • Instant AI Response: Adjusts ball speed, spin, and placement dynamically to match your skill level.
  • Pro-Level Agility: Accelerates at 3.5 m/s² with 10 cm tracking precision, covering the court in 1.2 seconds—comparable to professional athletes.

Smart Returns｜Max Out the Rhythm

  • Rapid-Fire Play: Patented dual-stage acceleration fires balls at 0.5-second intervals with lifelike spin.
  • Strategic Rallies: Trains anticipation, quick reactions, and tactical shot-making.

Multi-Function Integration

  • Customizable Training: Adjust drills for ball speed, spin, and placement.
  • Digital Social Hub: Auto-captures highlights for instant sharing.
  • Real-Time Feedback: Generates pro-grade data reports for every swing.

Intelligent Competition Modes

Match Play｜Turn Every Session Into a Game

With lightning-fast acceleration and 0.5-second intervals, Aceii One transforms practice into true match play. Players experience rallies with realistic pace, live scoring, and built-in challenges — making every session feel like competition.

Challenge Mode｜Level Up with Data-Driven Games

  • Unlock evolving drills with rewards and milestones.
  • Track progress through a dynamic power progression curve.

Battle Mode｜Human-Like Opponents

  • Simulates real player styles and rhythms.
  • Compete against friends or even pro player datasets.
  • Remote showdowns with identical parameters and detailed match reports.

Ranking Mode｜Smart Placement & Global Leaderboards

  • Start at your true skill level with NTRP-based ranking.
  • Progress through divisions by earning stars and victories.
  • Climb local and global leaderboards to showcase growth.

Coaching & Gamified Training

AI-Recommended Coaching
 Aceii’s AI analyzes every shot and integrates real coach lessons, creating a seamless improvement loop.

Smart 4-Step Training

  • Swing technique, positioning, rhythm control, and shot accuracy systematically covered.
  • Intelligent ball feeds + AI feedback = no wasted reps.
  • Custom paths accelerate breakthroughs.

Gamified Learning

  • Unlock checkpoints and challenges to keep training exciting.
  • Real-time performance reports visualize progress.
  • Achievement system promotes players from Bronze to Champion, unlocking new themes and training modes.

Portable Design | All-In-One Pack, Practice On-the-Go

  • Compact 20-Inch Frame: Fits in small cars and trunks.
  • 120-Ball Capacity: Extended training without interruption.
  • 3-in-1 Design: Machine, ball hopper, and racket slot combined.
  • Foldable Wheels: Deploy automatically for play, fold away for storage.

Effortless Operation | Easy to Use, Turn On & Play

  • Instant Setup: Vision technology requires no wearables or sensors. Start in 5 seconds.
  • Smart Interaction: Wave to start, clap to pause, or use touch-free app controls.
  • Progress Memory: Saves training progress for instant resumption.
  • All-Court Mobility: Adaptive wheels handle hard, clay, or grass courts.

Aceii App | Train, Compete, and Share

  • Custom Drills: Design training sessions for your goals.
  • Global Matches & Challenges: Join worldwide competitions and ranking ladders.
  • AI Coaching: Video lessons paired with personalized data analysis.
  • Smart Recording: Capture highlights and share to social media instantly.
  • Performance Tracking: Monitor accuracy, speed, and consistency after every session.

Solving the Pain Points of Traditional Machines

Predictable feeds and broken rhythm
 Traditional machines act like feeders. Aceii One varies pace, placement, spin, and depth—down to 0.5 s intervals—to create lifelike rallies instead of repetitive shots.

Limited patterns, no real progress
 Where others deliver the same ball each time, Aceii One offers one-click drill modes and fully customizable settings (speed, spin, placement, tempo), scaling from beginner to advanced play.

Slow and complicated setup
 Instead of long adjustments, the Aceii App provides ready-made templates and saved routines. Start practicing in seconds, not minutes.

Bulky and hard to move
 Aceii One folds into a 20-inch carry-on with wheels and a handle. Its ball bag doubles as a backpack, making transport effortless.

Poor adaptability and long downtime
 Compatible with hard, clay, and grass courts, it deploys quickly with minimal setup.

Battery anxiety
 Delivers up to 8 hours of stationary feeding or around 2 hours of intense rally play—enough for any practice session.

Robotic feel, no real pressure
 A dual-stage serving system and fast repositioning create unpredictable rallies that demand real footwork and timing.

 

Solving the Pain Points of Players

No partner, no match-level training
 Aceii One plays back like a live opponent. Smart Rally uses dual cameras and AI to read your position and return shots across the court.

No feedback, unclear improvement path
 Every stroke and movement is tracked. With AI guidance plus real coach video lessons, players see progress and next steps clearly.

Private lessons are costly, limiting frequency
 High-frequency, low-cost training frees coach time for tactics and details while Aceii One handles repetition.

Boring, repetitive sessions reduce motivation
 Built-in challenges, ranking, and community sharing make practice engaging and goal-driven, sustaining consistency over time.

Specifications at a Glance

  • Ball Interval: 0.5 seconds
  • Agility: 3.5 m/s² acceleration, 10 cm tracking precision
  • Capacity: 120 balls
  • Frame: 20-inch carry-on size, foldable wheels
  • Modes: Drills, Match Play, Challenge, Battle, Ranking
  • Connectivity: iOS/Android app, global matches, AI coaching
  • Court Use: Hard, clay, and grass

Availability

The Aceii One is available via Kickstarter. Early backers can reserve the device at a special Super Early Bird price of $999 USD (Retail price: $1,999).

However, to stay tuned for all updates and special offers, visit the official Campaign page.

Meet Amazon Quick Suite: The agentic AI application reshaping how work gets done

Quick Suite helps you cut through the noise of fragmented information, siloed applications, and repetitive tasks to focus on what matters.

Key takeaways

  • Quick Suite is AWS’s agentic AI application that helps employees transform how they find insights, conduct deep research, automate tasks, visualize data, and take actions across apps.
  • Quick connects to your information across internal repositories like wikis and intranets, popular applications, AWS services like S3 and Redshift, and access integrations with MCP to connect to 1,000+ apps.
  • Ask any question and get insightful answers.
  • Battle-tested by tens of thousands of Amazon employees and dozens of customers, you can use Quick for tasks consumer AI shouldn’t handle.

Read more below

We’ve all experienced how AI can transform our personal lives, but this same experience hasn’t been unlocked at work—yet. Consumer AI solutions aren’t connected to all your business data. They don’t have access to the tools you need to get things done at work. And many organizations won’t even let you use consumer offerings, because they lack critical security and privacy features.

That’s why we invented Amazon Quick Suite. It’s the AI experience people love with the security and privacy enterprises trust. Quick is your AI teammate that collaborates with you to get work done. With Quick, you can ask questions and get detailed answers, conduct deep dive research, analyze and visualize data, and create automations for workflows to save time and let you focus on the big picture. And thanks to the enterprise-grade security and privacy standards, Quick can work across all your information, so you finally get the fully featured gen AI experience you want at work, while knowing your queries are never used to train a model.

With Quick, we are entering a new era of work. Interact with Quick through an intuitive, web-based experience or integrations across your browser, Office 365, and more. Working with an AI agent is now as simple as chatting with a teammate. Make a request, ask a question, or automate a task. Quick works with you to help you go from insight directly to action. To see these capabilities firsthand, watch my video overview of Amazon Quick Suite.

We’ve been testing Quick with employees across Amazon and key customers to ensure it’s up to the demands of today’s workplace, and the results speak for themselves. Amazon employees are turning tasks that used to take days into minutes, automating the development of critical reports, and building their own benches of personalized agents. Propulse Lab, a leading marketing automation company, used Quick to streamline their customer service workflows, reducing the average time spent handling tickets by 80%—with a planned expansion of this workflow, they predict they will save over 24,000 hours annually. Based on the results they’ve already seen with Quick, DXC Technology, a global provider of information technology services, is planning to deploy it across more than 120k users, while Vertiv, a provider of critical digital infrastructure, plans to scale their users by more than 25% in 2026.

So how does Quick Suite work?

Bring everything together with Quick Index and Spaces

Quick Index makes it simple for you to connect to the sources and applications that matter. With over 50 built-in connectors for applications like Adobe Analytics, SharePoint, Snowflake, Google Drive, OneDrive, Outlook, ServiceNow, Databricks, Amazon Redshift, and Amazon S3, Quick brings together all your data securely to ensure you have full context for every decision. Using integrations with OpenAPI or Model Context Protocol (MCP) customers can connect to custom resources and 1,000+ apps by taking advantage of popular MCP servers from Atlassian, Asana, Box, Canva, PagerDuty, Workato, Zapier, and many more. You can then add additional files, dashboards, and other information to dedicated Spaces for you and your team to collaborate.

Ask questions and build agents

Once you’ve connected your data to Quick, you can start interacting with the chat assistant. You can ask Quick to write and send communications for you, or if you want Quick to write in your style or for a particular task (like writing a case study), you can use natural language or point Quick at existing guides or documentation to create a custom agent able to communicate in your intended style.

Analyze and visualize data with Quick Sight

Quick Sight makes business intelligence accessible to everyone with a new agentic experience, helping you gain insights to make better decisions. Unlike traditional business intelligence tools that work only with databases and data warehouses, Quick Sight’s agentic experience analyzes all forms of data across all your systems and apps, including your documents.

For example, a marketer can now easily look at a dashboard of their campaign data with metrics and customer feedback and ask questions in natural language about how the campaign is performing. They get a crisp analysis of the data in seconds without hours of manual statistical analysis, compiling sentiment from feedback, and summarizing the findings into a narrative—no business intelligence or data science experience required.

Dive deep into complex questions with Quick Research

Quick Research is the most accurate and reliable research agent on the market, ready to answer your most in-depth questions. It’s like having your own personal Ph.D. to provide comprehensive answers and reports to questions that require extensive research. It uses sophisticated analysis capabilities and extended processing to dive into your company’s data, and the public internet, including real-time information from 200+ outlets like The Associated Press, The New York Times, Washington Post, and Forbes. Quick Research can turn weeks-long research projects into quick-turn results, all with fully cited sources you can trust.

We tested Quick Research on DeepResearch Bench, a comprehensive benchmark for evaluating research agents, using a collective jury, where it provided the most accurate and reliable research across a range of tasks. The Last Mile Delivery team at Amazon used Quick Research to assess the potential impact of new legislation on a particular country that had been previously enacted in other countries. In 30 minutes, Quick Research delivered an in-depth analysis of how this legislation impacted other countries and their associated partner organizations, while also providing details on references and research methodology. This sort of research previously took multiple team members two weeks to complete.

Streamline repetitive tasks with Quick Flows

We all have those routine tasks, like compiling weekly reports or preparing for a recurring meeting, that take up your time every week. Quick Flows helps you use simple prompts to create automated workflows that handle repetitive tasks, reducing errors and freeing you and your team from busy work. For example, a program manager at AWS created a Flow to report on new, in-progress, and closed Asana tickets from the past week, compare them against the previous week’s status and committed items, and generate an executive summary email for leadership, saving multiple hours of manual work each week.

Handle complex multi-system workflows with Quick Automate

When these processes get complex and require hundreds of steps to be securely executed across multiple enterprise systems, like insurance claims processing or onboarding a new employee, teams wish that these tasks could be streamlined, but they lack the sophisticated automation tools and expertise to do it. With natural language prompts or by simply using existing documentation for their standard operating procedure, Quick Automate coordinates even the most complex business workflows across multiple applications, systems, or departments.

For instance, the Amazon Finance team uses Quick Automate to reconcile thousands of invoices every month. Quick Automate pulls information across multiple external transportation management systems, cross referencing this content with internal data from Amazon systems to help teams forecast cashflow, identify payment blockers, and conduct root cause analysis. The team built this automation without a dev team in days instead of weeks, and Quick made it easy to scale across multiple teams. Customers, such as Kitsa, have found the computer use agent in Quick Automate to be the most accurate solution for browser automation, helping them reliably automate their most complex and sensitive workflows across applications at scale.

Quick works wherever you are. With an intuitive web application, extensions in popular browsers like Chrome and Firefox, and extensions in Microsoft Outlook, Teams, and Word, Quick helps you find answers and act immediately in your flow of work.

Quick Suite is already transforming work for Amazon employees and customers

Quick serves people across every department and role—from sales reps to marketers, to CEOs and CIOs, to engineers and IT. Employees across Amazon, along with customers like Vertiv, DXC, 3M, Jabil, dLocal, Propulse Lab, and Kitsa, are already seeing amazing results with Quick:

Research in high gear

Jessica Gibson, vice president and associate general counsel at Amazon, sees an enormous benefit using Quick Research to help the Legal, Public Policy, and Compliance departments keep up with shifting global requirements that impact their business. From a single prompt, Quick Research helps her team synthesize complex requirements for specific geographic regions and provide recommendations at remarkable speed. “This same task used to require many hours of outside counsel, research, and writing,” said Gibson. By using Quick Research to compile these reports, her team can “stay agile while optimizing both time and resources.”

Automations that work

Kitsa, a customer that builds software to help expedite clinical trials, used Quick Automate to pore through hundreds of webpages and found that they were able to analyze sites for clinical trials in days that previously took months—with a 91% cost savings. “Compared to similar offerings like Manus and ChatGPT Operator, we achieved the highest accuracy and data coverage for our use case,” said Rohit Banga, the company’s co-founder and CTO.

Data-driven business decisions

Robbie Wright, a senior product marketer at AWS, uses Quick Flows to build a repeatable workflow to draft monthly business reviews based on business metrics from Quick Sight, campaign performance reporting from Adobe Analytics, and content from emails, and other internal documents. This saves time and helps his team make more informed decisions about ongoing campaigns faster.

“The workflow makes it simple to combine multiple sources into a concise update for our leaders,” Wright said. “I can now complete these projects 90% faster, and the quality of my reports has improved dramatically because I spend less time chasing numbers and more time providing my own insights.”

An AI-driven transformation

Jabil, a global leader in engineering, supply chain, and manufacturing solutions, is embracing Quick so that employees can use natural language to research regulatory updates across key industries faster and to optimize account collections and request for quote (RFQ) submissions. The automations in account collections and RFQs alone are expected to save about $400,000 annually as a result!

“The multi-tier AI architecture powered by Quick consolidates chatbots and information sources, increasing our manufacturing speed and flexibility,” said May Yap, Jabil’s CIO. “As part of our AI-driven transformation, these unified capabilities are helping us drive efficiencies and operational excellence.”

Complex workflows made simple

Natalie Fischbeck works in business development on Amazon’s Workforce Staffing team, and in one week she built 39 customized AI agents using Quick to help her complete complex tasks in minutes.

“Quick has given me the opportunity to create an accessible hub of institutional knowledge that would otherwise be scattered,” she said. “We now have scalable, logic-based agents that track all our leads and solutions at a high level. Because they pull from all our most recent emails and documents, they can provide dynamic updates almost instantly.”

Beyond productivity: A whole new way of working

What strikes me about these examples isn’t just the time saved—it’s how Quick is fundamentally changing our relationship with work. It’s removing the busy work that used to consume valuable time and energy and gives us the time back to focus on what matters. It brings together all the data, metrics, and institutional knowledge you need to make decisions, and helps you act on these decisions to drive outcomes.

We’ve been blown away by all the creative ways people have used Quick so far, and we’re excited to see how others will use it in the future. There are so many possibilities to dig into with these tools, and our team is hard at work finding ways to make them even more useful for customers in the future.

Eirmersive Launches PRISM Immersive Technology Summit

Eirmersive, a leading voice in Ireland for the immersive technology sector, has announced that PRISM Immersive Technology Summit, will take place on Wednesday, October 29th, 2025 at Dundalk Institute of Technology (DkIT).

This groundbreaking all-island event will bring together up to 150 innovators, business leaders, and researchers to explore how the convergence of Extended Reality (XR), Artificial Intelligence (AI), and Digital Twins is delivering competitive advantage across Construction, Manufacturing, Health Tech, Energy, and other critical sectors.

Driven by Eirmersive’s commitment to collaboration and inclusivity, the PRISM Summit is designed to innovate while cultivating partnerships that deliver real-world impact. The programme will feature keynote presentations, live demonstrations, panel discussions, and strategic networking opportunities. 

Camille Donegan, CEO of Eirmersive, said:

“Immersive technologies offer transformative potential for industry, but adoption requires trusted guidance, community, and clarity around real-world use cases. That’s exactly what PRISM delivers. If you’re an innovator or researcher looking to explore how XR, AI, and digital twins can create real value, this summit is for you.”

Aidan Browne, Head of Innovation & Business Development at Dundalk Institute of Technology, added:

“Dundalk Institute of Technology is delighted to partner with Eirmersive to host PRISM, connecting industry leaders, researchers, and forward-thinking innovators. Through this collaboration, we are excited to showcase cutting-edge solutions to our students and the wider business community, demonstrating how immersive technology can address real industry challenges, unlock skilled talent, and drive greater efficiency.”

Attendees will experience a full day of programming built around ROI-driven case studies and high-impact demonstrations. The programme includes keynote presentations from thought leaders and pioneers at the forefront of immersive technology, alongside interactive demonstration booths offering hands-on access to cutting-edge tools and solutions from Eirmersive members. Delegates will participate in sector-specific deep dives addressing challenges and opportunities in key industries, whilst engaging in strategic networking with SME leaders, enterprise innovators, technology developers, researchers, educators, policy leaders, and innovation support agencies.

Confirmed speakers include Brian Cooney, CEO of KUKA Robotics Ireland, who will present on “How digital twin, XR and AI shorten lead-time, ensure safety and reduce the cost of automation for manufacturing,” and Timmy Ghiurău Innovation Leader at Volvo Cars. 

The summit has already received robust support across Ireland and Northern Ireland, with partners  including Dundalk Institute of Technology, Queen’s University Belfast, Digital Catapult, InterTradeIreland, Louth County Council and its Local Enterprise Office, Oriel Hub, Cultural & Creative Industries Skillnet, and Creative Ireland.

Registration: Available on Eventbrite at https://www.eventbrite.ie/e/prism-clarity-in-the-age-of-convergence-tickets-1533671686299

Gen Z is coaching older colleagues to use AI

A new global study from International Workplace Group (IWG), the world’s largest platform for work and provider of flexible workspace, reveals that Gen Z employees are playing a pivotal role in driving AI adoption across the workforce, coaching older colleagues to help unlock productivity and collaboration gains in hybrid working environments.
The study, based on a survey of over 2,000 professionals across the US and UK, shows that AI is becoming a cornerstone of how teams and in particular hybrid teams operate. 80% of workers have experimented with AI tools, and 78% say it has saved them time, averaging 55 minutes of saved time per day, equivalent to almost an extra full working day per week.
Workers report that this time is being reallocated to higher-value activities such as creative or strategic work (41%), learning and development (41%), in-person collaboration (40%), and networking (35%). An overwhelming 86% say AI has helped them complete tasks more efficiently, and 76% report that it is directly accelerating their career advancement, with this figure rising to 87% among Gen Z workers.
Cross-generational collaboration key to unlocking AI gains
Cross-generational collaboration is central to this transformation. Nearly two-thirds (59%) of younger employees are actively helping older, more tenured colleagues adopt and learn to use AI tools, with 80% of Senior Directors reporting that this support lets them focus on higher-value tasks, while 82% of Senior Directors report that AI innovations introduced by younger colleagues have unlocked new business opportunities.
Two-thirds of C-suite leaders say younger staff’s AI skills have improved their department’s productivity, and over 80% of senior directors believe AI innovations introduced by junior colleagues have opened up new business opportunities.
Overall, 86% of those surveyed report AI has made them more efficient, and 76% believe it is advancing their career, rising to 87% among Gen Z respondents. AI’s influence on collaboration is also clear: 69% of hybrid workers say it is making teamwork across locations easier, citing benefits such as improved meeting preparation (46%), access to shared insights (36%), and stronger post-meeting follow-ups (36%).
Workers are embracing AI’s potential to eliminate time-consuming administrative tasks. The most common areas where employees want AI to step in include drafting emails (43%), taking and summarising meeting notes (42%), organising files (36%), and completing data entry or forms (36%). With these tasks automated, employees are reallocating time to more meaningful work: 55% are now focusing on high-impact projects, 54% are pursuing professional development, and 40% are using the time to build stronger relationships with colleagues and clients or to invest in personal well-being.
Benefits for hybrid workers
The study also found that 69% of hybrid workers say AI is making it easier to collaborate with colleagues across locations. Improvements in meeting preparation (46%), access to shared insights (36%), and more effective follow-ups (36%) are streamlining teamwork, while 40% say AI has freed up time to invest in team-building and communication.
In the hybrid model, AI is also reshaping how office time is used. With automation handling routine work, hybrid professionals now prioritise strategic thinking (41%), learning and development (41%), face-to-face collaboration (40%), and networking (35%) during in-office days. More than half of workers (53%) say AI is helping them achieve better outcomes, and 64% believe it is making hybrid working smoother and more effective.
Workers are aware of the stakes. Two-thirds (63%) worry that not learning AI tools could slow their career progression, and 61% believe those who don’t adopt AI risk being left behind. Yet the trend is toward inclusive, shared upskilling: 51% of employees say AI is helping bridge generational divides, and over half regularly share AI knowledge with colleagues, rising to 66% among 25–34-year-olds.
Mark Dixon, Founder and CEO of IWG, said: “The world of work is evolving rapidly. Advances in technology, particularly in AI are boosting productivity, opening up new career opportunities, and connecting different generations of expertise.
These significant AI enabled productivity gains are helping to create more connected, agile teams ready for the future of work. Younger generations are playing a pivotal role by sharing their digital skills with their  colleagues, which enhances performance and uncovers new business opportunities.”

How Irish Tech Companies Are Using AI to Slash Onboarding Time by 70%

The Hidden Cost Destroying Irish Tech Profitability

Every Monday, another cohort of developers joins Irish tech companies, beginning an onboarding journey costing €18,000 per person before they write production code. Across Dublin’s docklands, Cork’s tech clusters, and Galway’s medtech corridor, companies hemorrhage millions through inefficient training taking six months to produce productive employees—if they don’t quit first.

The mathematics are brutal. Ireland’s tech sector hires 15,000 new employees annually. With average onboarding costs of €18,000 and 29% leaving within their first year, the industry wastes €50 million annually on failed training investments. This excludes productivity losses, errors from undertrained staff, and competitive disadvantages from slow scaling.

The solution exists, deployed successfully from Belfast to Brussels. AI-powered corporate training platforms transform six-month onboarding into six-week sprints, reducing costs 60% whilst improving retention 40%. ProfileTree documents how Irish tech companies using AI training achieve full productivity 70% faster than traditional approaches.

https://www.youtube.com/watch?v=pZEI0fDyGno 

Why Traditional Tech Training Fails

The traditional model—senior developers mentoring juniors, documentation wikis, occasional workshops—worked when companies hired dozens annually. Today’s scaling companies hiring hundreds face different reality. Senior developers spending 30% of time training aren’t shipping features. Documentation becomes outdated before publication. Generic workshops ignore individual skill gaps.

Consider a mid-level developer joining Dublin fintech. Week one: reading outdated documentation. Week two: shadowing busy seniors. Weeks 3-12: trial-and-error learning with production mistakes. By month six, they’re productive—assuming they haven’t accepted better offers from faster-onboarding competitors.

Modern tech stacks compound complexity. Companies use dozens of technologies—microservices, cloud platforms, DevOps toolchains. New hires must understand interactions. A Limerick SaaS company discovered developers needed understanding of 47 different tools. Sequential traditional training would take years.

The 29% First-Year Exodus

Ireland’s talent shortage means new hires have options. When onboarding frustrates, they leave. The 29% first-year attrition represents recruitment costs, knowledge loss, team disruption, delayed development. Galway medical device companies report losing partially-trained developers sets projects back three months.

Exit interviews reveal patterns: information overload, struggling to find answers, preventable mistakes, feeling unproductive. One Cork developer summarised: “I spent four months feeling stupid before realising everyone was equally confused.”

Financial impact extends beyond direct costs. Delayed productivity means slower delivery, lost opportunities, reduced competitiveness. A Waterford analytics company calculated slow onboarding cost them €2.3 million—prospects chose competitors who scaled faster.

How AI Delivers 70% Faster Productivity

AI platforms revolutionise onboarding through personalisation and adaptation. Instead of one-size-fits-all, AI creates individual paths based on existing skills and role requirements. Senior Python developers skip basics, focusing on company-specific architectures.

Natural language processing enables conversational learning. Developers ask questions plainly, receiving contextual answers. Dublin blockchain companies report developers resolve 80% of questions through AI, reducing senior interruption 65%.

Machine learning identifies knowledge gaps before problems. Analysing code reviews and error logs, AI detects struggles and provides targeted training. This preemptive approach prevents production mistakes plaguing new hires.

The Technology Stack Revolutionising Onboarding

Modern platforms integrate multiple technologies. Virtual environments allow safe experimentation. Code analysis provides real-time feedback. Simulation platforms recreate production scenarios.

Adaptive algorithms adjust difficulty based on performance. Fast learners advance rapidly; struggling learners receive support. Knowledge graphs map technology relationships, showing how Docker containers interact with Kubernetes, how CI/CD triggers deployments.

Real Irish Tech Results

Stripe Dublin reduced time-to-productivity from 16 to 5 weeks. New developers ship production code within month one. The system saved €2.1 million through reduced training costs and faster scaling.

A Galway medtech company implemented AI training for regulatory compliance—traditionally their longest component. Six weeks of workshops now happens through adaptive AI sessions. Developers achieve certification 75% faster with 90% pass rates.

Cork’s Teamwork.com transformed onboarding using AI code review. Developers submit code to AI providing senior-level feedback without consuming senior time. Junior developers reach senior quality 60% faster.

Beyond Developers: AI Across Roles

AI transforms every tech role. Product managers learn methodologies through simulated planning. Designers explore guidelines through generative AI. SEO consultants master tool stacks through adaptive tutorials.

Sales teams practice with AI creating scenarios from actual customer profiles. Dublin cybersecurity firms reduced sales ramp-up from four months to six weeks using AI role-play.

Customer success benefits from AI trained on historical tickets. New members learn from thousands of resolved issues before handling live customers, reducing escalations and improving resolution.

The Psychology of Accelerated Learning

AI succeeds through psychological optimisation. Gamification maintains engagement without patronising. Progress visualisation provides motivation. Social features enable peer learning without public failure pressure.

Cognitive load theory informs information presentation. Spaced repetition ensures retention. Active recall strengthens memory. These techniques accelerate learning whilst reducing stress.

Psychological safety proves crucial. AI provides judgment-free environments for mistakes and “stupid” questions. This safety accelerates learning by encouraging experimentation and honest self-assessment.

Build vs Buy Decision

Companies face critical decisions: develop internal systems or adopt commercial platforms. Building offers customisation but requires €500,000-1,000,000 investment plus maintenance. Only largest companies hiring hundreds annually justify this.

Commercial platforms (€100-500 per user monthly) provide sophisticated capabilities without overhead. Leading solutions integrate with existing tools, import documentation, customise to tech stacks. Key lies in balancing sophistication with usability.

Implementation Roadmap

Successful implementation follows phases: Assessment identifies pain points. Pilots validate approaches. Gradual expansion allows refinement. Full deployment transforms learning culture.

Phase one documents existing knowledge. AI requires quality input for valuable output. Capturing tribal knowledge provides value regardless.

Phase two pilots with specific teams. Starting with developer onboarding demonstrates value whilst minimising risk. Metrics should include time-to-productivity and retention, not just completion.

Phase three scales successful approaches. Integration with HR automates enrolment. Analytics track effectiveness. Feedback enables improvement.

Measuring ROI

Time-to-productivity provides clearest ROI indicator. Irish companies report reductions from 24 to 8 weeks, saving €12,000 per hire.

Quality metrics prove important. Companies using AI report 30% fewer new-hire errors despite 70% faster onboarding, compounding savings through reduced debugging.

Retention improvements deliver highest value. Reducing attrition from 29% to 17% saves recruitment costs and preserves knowledge. Dublin software companies calculate retention improvements save €3.2 million annually across 200-person organisations.

https://www.youtube.com/watch?v=_c2c61VzUJ0 

Competitive Advantage Through Training

In Ireland’s talent-constrained market, superior onboarding becomes competitive weapon. Companies transforming hires fastest scale rapidly, deliver quicker, capture opportunities competitors miss. Reputation spreads—best talent gravitates toward excellent onboarding.

Customer impact follows. Faster scaling means quicker delivery and better support. Properly trained teams create better experiences, crucial in regulated industries where errors carry consequences.

Investment attraction improves with demonstrated scaling. VCs evaluate growth potential. Companies proving efficient scaling attract better terms. Training infrastructure becomes valuable beyond operational benefits.

Your Path to Transformation

Calculate true training costs including trainer time, lost productivity, errors, attrition. Most discover they’re spending 3-4 times estimated budgets. This baseline justifies investment.

Evaluate specific needs against solutions. High-complexity technical training differs from sales training. Consider integration, customisation, support. Request pilots before enterprise deployment.

Move decisively once selected. The 70% reduction isn’t theoretical—it’s achieved routinely by committed companies. Every delay month means continued waste and competitive disadvantage. In Ireland’s accelerating market, superior training determines who thrives versus survives.

Irish SMBs AI adoption: 80% set to embrace AI within a year

Ireland’s small and medium-sized businesses (SMBs) are set to double down on AI, but they’re doing so with a clear-eyed understanding of the challenges ahead. A new report from Viatel Technology Group and Amárach Research reveals a promising surge in adoption, alongside a sharp focus on planning, privacy and security.

The report, “AI Horizons: Insights into AI Adoption, Security and Risk in Irish SMBs”, paints a picture of a market poised for a significant shift. The survey conducted among 150 Irish business decision makers found that while 31% of Irish SMBs report that no AI adoption has taken place to date, 80% expect to be engaged with AI from early trials to extensive use within the next 12 months.

This shift isn’t just about trying the latest trend; it’s about real, impactful integration. The extensive use of fully integrated AI is set to more than double, rising from 7% to 17% in the same period, indicating a move beyond simple curiosity to genuine, strategic implementation.

Crucially, the report highlights that for businesses already using AI, the benefits are undeniable. 98% of those organisations using AI find it useful, underscoring its tangible value.

“This research offers a timely and comprehensive exploration of the current AI landscape, uniquely tailored to the Irish context,” says Lisa Hunt, Microsoft Practice Director at Viatel Technology Group.

“The report focused on Irish companies with up to 500 employees, who are well aware of the need to unlock the full potential of artificial intelligence but cannot afford failed experiments, and need to demonstrate a worthwhile return on investment. Trusted external support is critical in ensuring that every organisation is equipped to compete in the race to AI.”

While the appetite for AI is strong, 95% of Irish SMBs see significant barriers. Leading the charge are concerns over security (38%), a lack of technical expertise (35%), and a missing AI policy or framework (33%). Irish firms are keenly aware of the competitive disadvantage of not adopting AI, but they are also wary of the uncertain return on investment and the potential for financial loss from failed projects.

Policies and roadmaps are seen as crucial to avoid pitfalls, but a staggering 87% of businesses don’t have a formal AI policy in place, and only 5% have a detailed roadmap with a timeline and budget. The report also highlights a significant knowledge gap, revealing that 35% of SMBs simply don’t know where to start when it comes to implementing proper AI governance.

“There’s a lot of noise around AI, and a lot of people are talking about it,” said James Finglas, Managing Director of Digital Services at Viatel Technology Group. “Unfortunately, very few are actually doing it. At Viatel, we’re actively partnering with public and private sector organisations on their AI frameworks; getting the policies, people, and processes in place to roll out AI; to truly deliver return on investment and contribute to business goals.”

Dell Technologies Forum – AI and innovation drive peak performance

The Dell Technologies Forum took place at the RDS in Dublin with Peter O’Mahony, former Ireland rugby captain and Grand Slam winner, Lynne Cantwell, most capped Irish women’s rugby player and Head of Women’s Strategy at the IRFU, David Humphreys, former Ireland international and Performance Director at the IRFU headlining the event which showcased how AI can help organisations drive peak performance, increase productivity and spark innovation.

The Forum brought together approximately 600 of business and IT leaders to explore the latest developments in AI-powered transformation, the next generation of AI PCs, modern data centres and multicloud strategies. Conversations centred on how these advances can help strengthen competitiveness and unlock new growth opportunities.

Across the keynote, solutions expo, curated breakout sessions, insightful panels and more, decision makers heard from a range of exciting experts and speakers on the innovative solutions that can empower them to transform at speed and scale up their success.

 This comes as Dell’s Innovation Catalyst Study 2025 revealed that while 76% of Irish organisations view AI as a strategic driver of business growth, almost half (46%) are struggling to keep pace with rapid technological change and concerns around security, expertise and compliance.

Peter O’Mahony took to the stage to share lessons from elite sport on building a high-performance culture on and off the pitch, while Lynne Cantwell and David Humphreys discussed how teamwork, leadership and innovation can help organisations thrive in an era of technological transformation.

Other speakers included Jason Ward, EMEA North Vice-President and Managing Director of Dell Technologies Ireland; Alyssa Boyle, Head of Commercial Operations at Studio Ulster; and Gemma Leo, Head of Business Support & Projects at the Crann Centre.

Speaking at the Dell Technologies Forum, Mark Hopkins, General Manager of Dell Technologies Ireland said: “AI is no longer a question of “if” – it’s a question of how to make it work better, faster, and more securely to provide the right outcomes for your business. Leaders across Ireland are now looking to scale AI responsibly, modernise infrastructure and prepare their workforce for what’s next. Through this year’s Dell Technologies Forum, we’re bringing together the technologies, insights, and collaborations that help businesses turn ambition into action. Whether it’s scaling GenAI, modernising infrastructure, or empowering the workforce with AI-enabled devices, the Forum is where organisations see what’s possible – and how to make it real.

“The insights of Irish rugby legends, alongside leading voices from the technology and business sectors, highlighted how teams can achieve peak performance – whether on the field or in the boardroom. At Dell Technologies Ireland, we are committed to helping organisations across the country harness AI and emerging technologies to innovate with confidence and turn potential into tangible results.”

To find out more about the Dell Technologies Forum, visit: https://events.dell.com/event/31e5bc77-5cbf-427e-8dcb 262fcd187937/summary?dgc=ba&cid=dtf25_ba_EMEA_IE&lid=cal&RefID=ba_EMEA_IE_cal

Gemini Unleashes Limitless Creativity with Nano Banana Image Editing

Gemini image editing just got a major upgrade with Nano Banana, unlocking a world of creative possibilities. With Nano Banana, anyone can turn a single photo into countless new imaginative creations, allowing people to transform, remix, and elevate their images like never before.

Nano Banana introduces an array of advanced features designed to empower every user. These include the ability to keep people or pets consistent across edits, blend multiple photos together, selectively alter parts of an image, and seamlessly apply styles from one object to another- all while maintaining the original photo’s essential details. An enhanced understanding of prompts also ensures that bringing creative visions to life is easier and more intuitive than ever.

Nano Banana democratises image editing, empowering everyone, regardless of design background or technical expertise, to bring their ideas to life by simply typing a prompt and watching it materialise in seconds.

Get creative with Nano Banana and reimagine existing photos as far as your imagination will take you, some exciting trends to get started with are: 

  • Action-Figure Portraits: Transform yourself or your pet into a glossy custom miniature figurine

  • Retro Makeovers: Jump into the 70s,80s, 90s and beyond with everything from new hairstyles to fashion

  • Picture yourself anywhere: Transport yourself to different places, outfits, hairstyles or even decades

  • Career Swaps: Become a chef, pilot, or astronaut in seconds

You can try out Nano Banana now on the Gemini App or on gemini.google and transform your pictures instantly. 

How Belfast’s Educational Voice Is Pioneering AI-Enhanced Animation Production for Enterprise Learning

The intersection of animation technology and business transformation is creating unprecedented opportunities for Irish tech companies

The animation industry is undergoing a technological revolution that extends far beyond entertainment. Belfast-based Educational Voice is at the forefront of this transformation, leveraging cutting-edge animation technologies to solve complex business communication challenges for Ireland’s thriving tech sector. Their innovative approach combines traditional 2D animation expertise with emerging technologies like AI-assisted production, real-time rendering, and data-driven personalisation.

As Irish tech companies scale globally, they face increasing pressure to communicate complex technical concepts to diverse stakeholders—from investors and partners to end-users and internal teams. Educational Voice has positioned itself as the crucial bridge between technical complexity and visual clarity, developing animation workflows that integrate seamlessly with modern tech stacks whilst delivering exceptional creative output. Their Belfast studio has become a hub for animation innovation, attracting tech companies from across Ireland and the UK seeking to transform how they communicate.

The convergence of animation and technology represents more than aesthetic evolution—it’s fundamentally changing how businesses approach knowledge transfer, product demonstration, and user onboarding. Michelle Connolly, founder and director of Educational Voice, observes: “We’re not just animators; we’re communication technologists. Our role is to harness animation technology to solve real business problems, whether that’s explaining complex SaaS platforms, visualising data architectures, or creating interactive training systems that scale across global organisations.”

The Technical Architecture Behind Modern Animation Production

Modern animation production has evolved into a sophisticated technical discipline requiring expertise across multiple technology domains. Educational Voice’s production pipeline integrates cloud-based rendering farms, version control systems, and collaborative platforms that mirror the workflows used in software development. This technical infrastructure enables rapid iteration, parallel production streams, and seamless integration with client systems.

The studio employs JSON-based animation frameworks that allow for programmatic control of animation elements, enabling dynamic content generation based on real-time data inputs. This approach proves particularly valuable for tech companies requiring animations that adapt to user segments, product versions, or market conditions. API integration capabilities mean animations can pull live data from client systems, ensuring content remains current without manual updates.

Render optimisation technologies reduce production timeframes by up to 60% compared to traditional methods. GPU-accelerated rendering, distributed processing, and intelligent caching systems enable Educational Voice to deliver enterprise-scale animation projects within aggressive tech industry timelines. The studio’s technical team includes specialists in shader programming, particle systems, and procedural animation—skills typically associated with game development but increasingly vital for business animation.

Version control and asset management systems borrowed from software development ensure animation projects maintain consistency across large-scale deployments. Git-based workflows enable multiple animators to collaborate on complex projects whilst maintaining creative coherence. Automated testing frameworks verify animation compatibility across devices and platforms, crucial for tech companies deploying content globally.

AI and Machine Learning: Transforming Animation Workflows

Artificial intelligence is revolutionising animation production in ways that particularly benefit tech sector clients. Educational Voice’s advanced animation services incorporate AI tools that automate repetitive tasks, enhance creative possibilities, and dramatically reduce production costs. Machine learning algorithms analyse existing brand assets to generate style guides automatically, ensuring animation consistency with established visual identities.

Neural networks trained on motion capture data enable realistic character animation without expensive mocap sessions. This technology proves invaluable for tech companies creating avatar-based training systems or virtual presenters for product demonstrations. The AI-generated base animations maintain natural movement patterns whilst allowing for creative modification, striking the perfect balance between efficiency and artistic control.

Natural language processing capabilities transform script development and localisation. AI systems can analyse technical documentation and automatically generate animation scripts that maintain accuracy whilst improving accessibility. For Irish tech companies expanding internationally, automated translation and lip-sync adjustment reduce localisation costs by up to 70% whilst maintaining quality across language versions.

Predictive analytics inform creative decisions by analysing engagement data from previous animations. Machine learning models identify which visual styles, pacing patterns, and narrative structures resonate with specific audience segments. This data-driven approach ensures animations achieve maximum impact whilst minimising revision cycles—crucial advantages in fast-moving tech markets.

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Real-Time Rendering and Interactive Animation Technologies

The shift towards real-time rendering engines traditionally used in gaming is transforming business animation capabilities. Educational Voice leverages Unreal Engine and Unity to create interactive animations that respond to user input, enabling personalised learning experiences and dynamic product demonstrations. This technology particularly benefits software companies requiring interactive tutorials that adapt to user proficiency levels.

WebGL implementation enables browser-based interactive animations without plugins, crucial for SaaS companies prioritising frictionless user experiences. These animations can track user interactions, providing valuable analytics about engagement patterns and comprehension levels. Tech companies use this data to optimise onboarding flows and identify areas where users struggle with product features.

Real-time rendering also enables live animation streaming for virtual events and webinars. Instead of pre-recorded content, presenters can manipulate animation elements dynamically, responding to audience questions and adjusting explanations based on real-time feedback. This capability has proven invaluable for Irish tech companies conducting global product launches and training sessions.

The computational efficiency of modern real-time engines allows complex animations to run on mobile devices without performance degradation. This democratisation of access ensures enterprise training content reaches all employees regardless of device capabilities—particularly important for companies with distributed workforces across varying technological infrastructures.

Blockchain and NFT Integration in Corporate Animation

While consumer NFT markets have cooled, blockchain technology offers intriguing possibilities for enterprise animation applications. Educational Voice explores blockchain integration for animation asset verification, ensuring authenticity and preventing unauthorised modifications of critical training or compliance content. Smart contracts can automatically manage licensing and usage rights for animation assets across complex organisational structures.

Decentralised storage solutions provide redundancy and global accessibility for animation libraries, particularly valuable for multinational tech companies requiring consistent content delivery across regions. IPFS (InterPlanetary File System) integration ensures animations remain accessible even if centralised servers fail, crucial for mission-critical training materials.

Tokenisation mechanisms enable granular tracking of animation usage and engagement, providing unprecedented insights into content effectiveness. Tech companies can identify exactly which animation segments drive desired outcomes, informing future content strategies with precision previously impossible. This data granularity particularly benefits companies operating in regulated industries requiring detailed training compliance documentation.

The DevOps Approach to Animation Production

Educational Voice applies DevOps principles to animation production, creating continuous integration/continuous deployment (CI/CD) pipelines that accelerate delivery whilst maintaining quality. Automated build processes compile animation assets, run quality checks, and deploy to distribution platforms without manual intervention. This approach reduces human error whilst enabling rapid updates in response to product changes.

Infrastructure as Code (IaC) principles ensure animation production environments can be replicated instantly, enabling parallel production streams for large projects. Containerisation using Docker ensures consistent rendering regardless of underlying hardware, whilst Kubernetes orchestration manages resource allocation dynamically based on project demands.

Monitoring and logging systems track every aspect of production pipelines, from render times to asset utilisation. This telemetry data informs capacity planning and identifies optimisation opportunities. For tech clients accustomed to data-driven decision-making, this transparency provides confidence in production processes and timeline estimates.

Automated testing frameworks verify animation functionality across target platforms before deployment. Visual regression testing ensures frame consistency, whilst performance testing validates smooth playback across device specifications. This rigorous testing approach mirrors software QA processes, ensuring enterprise-grade reliability for business-critical animation content.

Measuring Animation ROI Through Advanced Analytics

Educational Voice implements sophisticated analytics frameworks that quantify animation impact with precision tech companies expect. Beyond basic view metrics, advanced analytics track micro-interactions, attention patterns, and completion funnels. Heat mapping reveals which animation elements capture attention, whilst session recording shows how users navigate interactive content.

A/B testing frameworks enable systematic optimisation of animation elements. Different versions can be served to user segments with automatic winner selection based on predefined success metrics. This scientific approach to creative optimisation ensures animations continuously improve based on real-world performance data rather than subjective preferences.

Attribution modelling connects animation engagement to business outcomes through integration with CRM and analytics platforms. Tech companies can trace how animation exposure influences conversion rates, support ticket volumes, and user retention. Multi-touch attribution reveals animation’s role throughout complex B2B sales cycles, justifying investment through clear ROI demonstration.

Predictive modelling uses historical animation performance data to forecast likely outcomes for new content. Machine learning algorithms identify patterns linking animation characteristics to engagement metrics, enabling data-informed creative decisions. This predictive capability particularly benefits tech companies planning large-scale animation investments requiring board-level approval.

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Future-Proofing Animation Strategy for Tech Evolution

As technology continues evolving at breakneck pace, Educational Voice helps tech companies develop animation strategies resilient to change. Modular animation architectures enable component reuse across projects, reducing costs whilst maintaining consistency. Parametric animation systems allow for easy updates when products evolve, avoiding complete reproduction requirements.

The studio anticipates emerging technologies like spatial computing and mixed reality becoming mainstream, preparing animation assets that translate across traditional screens to immersive environments. This forward-thinking approach ensures today’s animation investments remain valuable as consumption platforms evolve.

Michelle Connolly emphasises the importance of strategic planning: “Tech companies need animation partners who understand not just current requirements but anticipate future needs. We design animation systems that grow with organisations, adapting to new technologies whilst maintaining creative excellence.”

Educational Voice (https://educationalvoice.co.uk) continues pushing animation technology boundaries from their Belfast base, helping Irish tech companies communicate complex ideas with clarity and impact. As Ireland’s tech sector continues its remarkable growth trajectory, animation emerges as essential technology for maintaining competitive advantage in global markets. The future belongs to companies that harness animation’s power to transform how they communicate, educate, and engage.