Zens announces a new collaboration with Lenovo as new EU regulations come into effect from 28 April 2026, requiring all laptops sold in the EU to support USB-C charging and allowing manufacturers to ship devices without a power adapter in the box. While this change is intended to reduce e-waste, it also shifts the responsibility for reliable, high-performance charging to consumers.
USB-C may be universal in name, but not all chargers deliver the same results. Underpowered or low-quality charging solutions can limit laptop performance, drain batteries during use and lead to frustration, returns and support issues. Zens and Lenovo will address this challenge with a future-ready solution that combines performance and simplicity while supporting sustainability regulation in the EU.
The collaboration introduces a single-cable solution that powers a Lenovo laptop at full performance while wirelessly charging a second device, such as a smartphone or earbuds. One cable replaces multiple chargers, reduces cable clutter and gives consumers a cleaner, more intuitive setup from day one.
At the heart of the collaboration is the Zens Charging Cable Pro 2, a Lenovo-recommended USB-C charging accessory optimised for Lenovo laptops and Lenovo USB-C power adapters. Supporting high-power USB-C charging from 65W up to 140W, the cable is designed for modern home offices and professional workspaces.
“The new EU rules make simplicity more important than ever,” says Johan Plasmans, CEO of Zens. We combine full-power laptop charging with wireless charging for a second device in a single cable. This reduces clutter and accessories while lowering environmental impact, without compromising performance.
Beyond home use, the collaboration also supports modern workspaces, where simplicity, flexibility and desk efficiency matter just as much. With one USB-C connection for laptop charging and integrated wireless charging for everyday devices, the solution helps create cleaner desks, reduces the need for multiple adapters and supports a more organised working environment. For IT teams, office managers and facility professionals, it offers a practical way to combine performance, convenience and a more future-ready office setup.
The Zens Charging Cable Pro 2 is now available as a Lenovo accessory for both professional and customer users via lenovo.com and zens.tech.
Pictured attending the Tech Rally at the Dell Technologies Innovate event at Royal Hospital Kilmainham recently were Mark Hopkins, Managing Director, Dell Technologies Ireland, and Alex Rice, Field Product Manager at Dell Technologies Ireland, alongside over 100 technology leaders, industry experts and IT decision-makers who explored how organisations across Ireland are preparing for the next phase of AI-driven transformation.
The event also featured Dell’s‘Tech Rally Anywhere’ showcase, bringing a hands-on experience of the latest devices and technologies shaping the future of work in Ireland. The showcase provided IT leaders with the opportunity to experience Dell’s latest AI PCs and latest devices and how they can empower employees in the workplace.
With AI continuing to move from concept to practical deployment, discussions throughout the day centred on the importance of building strong digital foundations from modern devices to resilient, secure and scalable infrastructure.
Attendees explored how modern devices and emerging technologies are evolving new ways of working. A dedicated showcase area gave audience the opportunity to experience the latest generation of Dell devices and workplace solutions first-hand, including newly launched AI PCs. The interactive setup demonstrated how advancements in device performance, collaboration tools and connectivity are enabling more flexible and productive ways of working across today’s hybrid work environment.
With technology decisions now more closely tied to business performance than ever before. Irish organisations are increasingly focused on how they can future-proof their operations, embrace AI responsibly and unlock new opportunities for growth in an increasingly complex digital economy.
Speaking at the event, Mark Hopkins, Managing Director at Dell Technologies Ireland said “AI is rapidly becoming a key driver of innovation and competitive advantage for organisations across Ireland. As businesses move from experimentation to real-world deployment, the focus is on building the right foundations, from modern devices at the edge to secure, scalable infrastructure, to fully realise its potential.
“At Dell Technologies Ireland, we are supporting customers to turn AI ambition into tangible outcomes, helping them innovate faster, operate more efficiently and move forward with confidence in an increasingly data-driven world.”
Doing business with systems and infrastructure can be demanding, and you’ll face plenty of obstacles along the way. Those obstacles are hard to escape without good information, tips, and tricks. Many people wonder how those dealing with big infrastructure challenges actually overcome them, especially when problems pile up and the project is large. With the right information, everything can change and improve. That’s why in this list, we’ll share useful info and show you how experts turn infrastructure challenges into smooth workflows and how you can bring that into your daily work.
General revision
You can not work on a problem if you don’t know where the problem is. That is why the first step in making your infrastructure challenges into smooth workflows must be to map all the problems and recognize them. For that, you will need to do a general revision, in which you will see all the problems that you have and also the potential ones that may arise. The general revision in those fields can also bring you many more benefits, and some of those are:
Identification of hidden costs
Setting up priorities
Dependency making
Discovering safety omission
Those are just a few examples of how general revision can contribute to your infrastructure work, and there are many more that can help you to continue your work more smoothly.
DevOps as a bridge between experts
The most present problem in the project world is mostly misunderstanding. There are a lot of misunderstandings that can happen between people, and especially between two types of experts in the IT industry. Setting up the right infrastructure can include the work of many people together, and that must be done precisely. The problem is that different sectors do not understand the needs of others, and they must be synchronized as much as possible in order to get a good product. The great thing is that MeteorOps Terraform specialists can help you establish good communication and a bridge between programmers and system administrators. In that way, no mistakes will be made during the process, and everything will run smoothly. There are great things that are essential for smooth work and that can come with those services, and some of those are:
Strategy advisor
All-time support and monitoring
Automation
Containerization and migration
Security and compliance
Modular design
The old way of building systems was to stitch together a large amount of data that couldn’t be separated into small parts. The good news? There are new ways of doing infrastructure now through modular designs. Experts break everything into smaller segments and parts that are easier to remove and repair without disturbing the whole system. This simpler approach makes obstacles and challenges much easier to handle. And that’s something that will benefit you a lot.
Self-healing system
AI technology is making great changes in all industries and businesses. That technology can be implemented in almost every part of life, and it will raise efficiency. Usually, when the system is down, there is always a need to wait for someone to fix it. The great thing is that with a self-healing system, it doesn’t need to be a case. In that way, the system can recognize that something is not okay and restart automatically and fix itself.
Proalerting in order to react on time
The biggest issue in system infrastructure is that a problem can appear without administrators even knowing it’s there. That gap between the problem arriving and getting fixed can cost you a lot, and you don’t want it to be long. Many useful features can help, and one of them is proalerting. With it, you get instant notifications that something isn’t right. You’ll know right away that you need to fix it. No more waiting around, guessing, or hoping for the best. Just clear alerts when trouble starts, so you can act fast and keep everything running smoothly.
Planning and disaster recovery
Do not expect that everything will work smoothly for a long time without any problems. You must always try to predict some problems and help to save the system and cloud without being under pressure. A great thing that you can do in that case is to plan disaster recovery. In that plan, you can include many important things, such as:
Regular backup checking
Defining the right step
Business impact analysis
When you know good ways to approach a problem, it’s much easier to keep a smooth workflow on any project. This list gives you great examples of how to do that and what to pay more attention to.
AI is rapidly moving from experimentation to everyday workplace reality. Across Ireland, employees are already using it to summarise documents, analyse data and automate routine tasks. Yet for many leaders and organisations, the real challenge is not access to the technology but turning AI into meaningful business value. Mark Hopkins, General Manager, Dell Technologies Ireland tells us more.
The organisations seeing the greatest impact from AI are those bringing three things together: strategic leadership, the right technology foundation, and a workforce empowered to identify where AI can genuinely improve how work gets done.
Ireland’s recently published Digital and AI Strategy, which sees AI technologies as a driver of growth, reflects this approach. It highlights the need to invest not only in digital infrastructure but also in the skills and capabilities that will allow employees to harness AI responsibly and productively.
For business leaders, the opportunity is significant, but so is the responsibility to build a clear and practical business case for AI.
Increased focus on the business case for AI
The conversation around AI is evolving at speed. What began as experimentation is now focused on a much more practical question: how can AI deliver measurable outcomes?
Across Ireland, organisations are operating in a cost-conscious environment where every technology investment must demonstrate value. The strongest AI strategies therefore focus on specific business outcomes such as productivity gains, improved decision-making or enhanced customer experiences.
A common misconception is that AI adoption requires large scale investment and disruption. In reality, many successful initiatives begin with targeted use cases, such as automating routine processes, analysing data more effectively or improving customer interactions, that demonstrate value quickly and allow organisations to scale over time.
Workforce central to unlocking AI advantage
While technology provides the capability, it is employees who ultimately determine whether AI delivers real value.
Many of the most effective AI applications are discovered by employees who understand the day-to-day challenges within their roles. Teams in operations, finance or customer service are sometimes best placed to identify repetitive tasks that could be automated or improved through better data insights.
Equally important is ensuring employees feel confident using AI responsibly. Our latest Dell Innovation Catalysts Study shows the scale of this challenge. In fact, 98% of Irish organisations say their employees will need new skills to unlock the full potential of AI.
As these tools become embedded in everyday workflows, organisations will need to move beyond occasional training and adopt more continuous approaches to learning. The Government’s commitment to roll out AI training across the public sector is welcome and will help drive responsible AI adoption and ensure 100% of key public services are digitalised by 2030.
Leadership sets the tone for AI adoption
Leadership plays a crucial role in helping organisations move from AI experimentation to real business impact.
For many organisations, the challenge is not recognising AI’s potential, but unlocking value from the vast amounts of data they already hold. Leaders therefore have an important role in ensuring AI initiatives are tied to clear priorities and focused on turning data into insights that support better decisions.
From our perspective at Dell Technologies, organisations that treat AI as a business transformation rather than simply a technology deployment are the ones unlocking its real strategic advantage.
We are also beginning to see more advanced capabilities such as agentic AI, where intelligent systems can help coordinate workflows and support decision-making. As these technologies evolve, leadership will play an increasingly important role in ensuring organisations have the right strategy and governance in place to deploy AI responsibly and deliver value at scale.
The technology foundation still matters
While people and leadership are essential, the role of technology should not be underestimated.
AI workloads place new demands on infrastructure, including high-performance computing, secure data management and the ability to scale as projects grow. Many organisations are discovering that their existing IT environments were not designed to support these requirements.
At Dell Technologies, we work with organisations across Ireland and Europe to help them build AI-ready foundations that allow businesses to move from experimentation to real-world deployment.
Through our Customer Solutions Centre Innovation Lab in Limerick, businesses and organisations can explore how emerging technologies, including AI, can be applied to real business challenges. We are also seeing how these capabilities are transforming industries. For example, Dell Technologies is working with Studio Ulster to support one of Europe’s most advanced virtual production studios, enabling creative teams to generate complex digital environments in real time and transform how film and television content is produced.
Equally important is understanding the economics of AI. A practical cost model should consider factors such as computing power, energy consumption and data management to ensure AI investments align with real workloads and business needs.
A moment of opportunity for Ireland
Ireland’s unique digital ecosystem and skilled workforce position the country well to benefit from the next wave of AI innovation.
The Government’s Digital and AI Strategy provides an important national framework. But realising the strategy’s goal of becoming a location of choice for AI startups and scale-ups, and a global hub for applied AI innovation will depend on how organisations translate that ambition into practical adoption.
That means leaders creating the right environment for experimentation, employees identifying where AI can improve how work gets done, and organisations investing in the infrastructure needed to scale innovation responsibly.
The organisations that succeed will be those that bring people, leadership and technology together to turn AI potential into real progress.
Insurance leaders love to talk about innovation, but actually getting there? That’s where things fall apart. The real problem usually lives inside their own walls — old, inflexible systems holding everything back. These legacy platforms run deep. They make the business slow, hard to change, and expensive to scale. Insurtech startups can launch a new service almost overnight, but established insurers are still slogging through projects that drag on for years.
To remain competitive, organizations must rethink their approach to digital transformation in insurance and address foundational technology constraints. A critical first step is to modernize a legacy insurance system by replacing rigid architectures with flexible, modern platforms.
Let’s look at why legacy tech keeps insurers stuck, and how you can break the cycle with modernization strategies that actually work in the real world (and don’t blow up your business in the process).
What Actually Makes a Legacy System (and Why Should You Care)?
It’s not just about software that’s “old.” In insurance, legacy systems are usually massive, tightly wound beasts—core to how you write policies, handle claims, and keep things running. The issue isn’t just age. It’s that these systems were built so rigidly — hardwired, poorly documented, and stuffed with patches — that even small changes are a headache. Over the years, short-term fixes pile up, and you’re left with a machine that’s fragile, costly to tweak, and filled with hidden dependencies.
Think about a mid-sized insurer whose backbone is a 20-year-old policy management system. Want to offer digital claims? Suddenly you need custom middleware, manual data mapping, endless rounds of testing… It drags on for months. Not because of the business process, but because the tech just isn’t built to flex.
What gets risky here?
They don’t play nice with modern APIs.
You’re stuck with dying programming languages.
Most of your IT budget disappears into maintenance, not innovation.
Only a few folks know how these systems work — and they’re eyeing retirement.
If you don’t tackle these, your big technology transformation plans will fizz out before anyone sees real improvement.
The Innovation Chokepoint — Why Projects Fail or Stall Out
Insurers toss money at fresh ideas like AI pilots, chatbots, automated workflows. Yet when it’s time to scale up, everything grinds to a halt. The reason isn’t a lack of vision. It’s that your foundational tech just isn’t designed for quick, agile change.
First, shipping anything new takes forever. Every new product has to thread its way through ancient systems wired together with dozens of interdependencies. Coordination gets tangled; delays compound. Next, connecting to cutting-edge insurance solutions? It’s a slog. AI-driven underwriting, instant pricing, advanced claims automation — all of it needs clean, updated data infrastructure. Legacy platforms scatter that data across different formats or lock it up, making real-time anything basically impossible.
Finally, any innovation that does get out tends to sit in its own corner, isolated from the rest of the business. You might roll out an AI tool for detecting fraud, but if the data pipeline’s too slow, those insights arrive after the fact. The tech exists, but the old infrastructure chokes out the real business impact.
The Hidden Price Tag — How Legacy Systems Bleed Organizations Dry
The actual cost of hanging onto legacy tech is easy to overlook because it’s everywhere — in maintenance contracts, compliance headaches, security workarounds, and endless support tickets.
But if you stack up the unchecked bills, this is what you’re really paying for:
Ballooning maintenance spending that eats up your IT budget.
Vulnerabilities that open you up to cyberattacks.
Compliance nightmares, where adapting to new regulations means wrestling with systems that just won’t budge.
A shrinking pool of folks who actually understand this tech.
The real risk, though? It’s falling behind. Competitors move to nimble platforms, get products to market faster, adapt pricing, and personalize the customer experience. If you’re stuck, your brand and bottom line slowly erode.
How Do You Even Start Modernizing? — A Playbook That Actually Works
Let’s get practical. Modernization isn’t a “deploy and forget” project — it’s an ongoing shift in how you build, run, and evolve your core technology. You’ll need to pick the right approach based on your biggest priorities and where you can tolerate risk.
Here are your main plays:
Rehosting (“Lift and Shift”) — Move your systems to the cloud as-is, keeping changes small. Fast, but doesn’t solve deeper problems.
Replatforming — Adjust your applications for the cloud, picking up some improvements along the way. Faster results without full rewrites.
Refactoring — Redesign sections of the system for better flexibility and maintenance. More investment, but the payoff grows over time.
Rebuilding — Start over with a fresh, cloud-native architecture. This opens up real innovation but takes time, discipline, and guts.
Usually, it’s a mix. Maybe you rehost less critical systems to score quick wins, while you surgically refactor or rebuild the parts most critical to customer experience or revenue.
To succeed: Tie every project to business results (not just technical goals), focus first on what impacts your customers, use APIs to slowly break apart dependencies, and bring on experts with real-world modernization experience.
Modernizing Step by Step — Without Breaking the Business
The new generation of insurance systems is all about flexibility, speed, and making sure IT supports business change — not blocks it. Here’s what to focus on:
Cloud-native infrastructure for scalability and resilience (so you can launch and grow faster).
APIs as building blocks — making it possible to plug in new systems or partners with less fuss.
AI and automation to speed up core processes — but make sure your data is clean and accessible first.
Modern data platforms that let you analyze and act on information instantly (think dynamic pricing or instant fraud detection).
Insurers moving to these modern, API-driven setups cut product launch cycles and respond to the market way faster.
Today, these aren’t just “nice to haves” — they’re baseline for anyone aiming to stay in the race.
Bottom Line — Turn Your Old Systems Into an Edge
Legacy tech isn’t just an IT issue. It’s a strategic roadblock. Insurers who ignore these limits will spend more, move slower, and watch their relevance fade.
But if you tackle legacy modernization head-on — with the right roadmap, clear business priorities, and a commitment to change — you get something your competitors don’t: speed, customer focus, and the freedom to innovate. Start early. Plan carefully. The ones who get this right won’t just keep up — they’ll lead.
In insurance now, modernizing isn’t a someday thing. It’s table stakes for lasting growth and real innovation.
Qualcom, a leading Irish provider of IT and cybersecurity services, today announces that it is investing €500,000 to launch its new artificial intelligence (AI) practice. This investment will span three years and, in the continued expansion of its team, Qualcom plans to hire four AI specialists within this timeframe.
The new practice will support secure AI adoption for Irish organisations and enable them to align with evolving regulatory requirements. The investment includes a new partnership with AI infrastructure provider NROC and, as part of this, Qualcom will provide a full wraparound service to secure and manage customers’ AI environments, using NROC’s technology. The funding also includes the training and upskilling of new team members, as well as AI training for Qualcom’s existing managed services and infosec teams.
In turn, the new practice will further enable Qualcom to deliver AI-powered solutions that will secure customers’ Microsoft data, and to provide ultra-secure managed services to businesses. Qualcom has also developed a comprehensive AI policy framework designed to help organisations to incorporate AI tools such as Microsoft Copilot and ChatGPT into their daily operations, while safeguarding sensitive data and ensuring compliance,
The company is launching the new dedicated practice in response to heightened demand among customers for AI solutions, services, and capabilities to drive business growth and remain competitive.
This investment comes as Qualcom celebrated 30 years in business in 2025. The company recently announced that it has boosted the headcount within its support centre by 33%, and enhanced facilities at its Dublin headquarters to equip the business for continued growth.
David Kinsella, Technical Director, Qualcom, said:“This investment in our people, platforms, and capabilities reflects our commitment to supporting customers as they navigate both the opportunities and risks of AI. As we look ahead to the next three years, there’s no doubt that the use and applications of AI will continue to grow exponentially. The launch of the new practice will enable us to adapt quickly in line with industry demand, delivering right first-time services that are fully compliant and maximise IT uptime for businesses in Ireland. We’re looking forward to working closely with customers as we support the secure rollout of AI tools to help them to keep pace with their competitors.”
Companies use Salesforce ODBC drivers to connect Salesforce data directly to BI, reporting, ETL, and analytics tools. ODBC eliminates the need to write custom API integrations and allows Salesforce objects to be queried using SQL from standard data platforms.
In practice, ODBC drivers enable teams to:
Connect Salesforce to Power BI, Tableau, Qlik, Excel, and ETL platforms
Run SQL-based reporting on Salesforce objects
Automate scheduled data exports and incremental refreshes
Join Salesforce data with on-premise or cloud databases
Centralize analytics without building custom middleware
For analytics teams, ODBC drivers convert Salesforce’s API-based model into a relational-style interface that standard BI tools understand. For IT teams, they provide a managed, repeatable connectivity layer with defined authentication and configuration options. For data engineers, they reduce integration complexity while preserving control over refresh behavior, security, and performance parameters.
Reliable connectivity matters because Salesforce is often a core CRM system feeding dashboards, executive reports, finance models, and operational pipelines. A driver is not just a connector—it becomes part of the data infrastructure stack.
Salesforce ODBC Drivers Compared
Below are four established commercial drivers frequently used in BI and enterprise data environments.
Devart focuses on delivering extended SQL support over Salesforce objects while maintaining OAuth-based secure connectivity. It supports Windows, macOS, and Linux, making it suitable for mixed desktop and server environments.
Key characteristics:
OAuth authentication over HTTPS
Extended SQL support (joins, grouping, filtering)
Cross-platform (Windows/macOS/Linux)
Batch updates for handling larger data modifications
Broad compatibility with BI and ETL tools
Devart is typically positioned for teams that need strong SQL ergonomics and flexible deployment across different operating systems while maintaining performance during larger refresh jobs.
Progress DataDirect ODBC Driver for Salesforce
Positioning: Enterprise-scale performance and bulk operations
Progress DataDirect emphasizes high-performance connectivity and large-volume data processing. It is often selected in environments where Salesforce data refreshes are heavy and SLA-driven.
Key characteristics:
Focus on performance optimization
Transparent bulk operations
Enterprise multi-platform support
Designed for high-volume data movement
Common in centralized IT deployments
This driver is typically associated with organizations running large, scheduled refreshes and centralized BI environments where performance under concurrency is critical.
Easysoft ODBC-Salesforce Driver
Positioning: SQL and SOQL flexibility + Windows-heavy deployments
Easysoft provides both SQL-oriented and SOQL-oriented driver options, which is a structural difference compared to most competitors.
Key characteristics:
Separate SQL and SOQL driver modes
OAuth support (Windows)
Strong compatibility with Office-based reporting tools
Integration scenarios involving local databases
Easysoft can be relevant where teams require SOQL-like behavior or primarily operate in Windows reporting environments.
Positioning: Standardized ODBC connectivity across data ecosystems
Simba drivers are widely embedded or referenced in many analytics platforms. The Salesforce driver is known for conventional ODBC configuration patterns and documented OAuth connection string support.
Key characteristics:
OAuth 2.0 connection string configuration
TLS-secured communication
Commonly referenced in BI tool documentation
Structured DSN and DSN-less deployment options
Simba is frequently selected where standardized ODBC configuration and documentation alignment with analytics platforms are priorities.
Structural Differences Between the Drivers
Instead of feature checklists, the real differences appear in architecture and operational focus.
Driver
Core Strength
Architectural Focus
Deployment Style
Volume Handling
Devart
Extended SQL + cross-platform flexibility
SQL translation depth
Desktop + server mixed
Batch updates, balanced performance
DataDirect
Enterprise performance
Bulk optimization engine
Centralized enterprise IT
Strong at large-scale extracts
Easysoft
SQL vs SOQL dual model
Query-mode flexibility
Windows-heavy
Moderate workloads
Simba
Standardized ODBC implementation
Conventional ODBC architecture
BI ecosystem alignment
Standard analytics loads
Summary: Differences That Matter
All four drivers provide commercial, production-ready Salesforce connectivity via ODBC. The differences lie in architectural emphasis rather than basic capability.
Devart emphasizes SQL flexibility, cross-platform availability, and balanced bulk handling.
Progress DataDirect emphasizes enterprise-grade performance and large-scale bulk optimization.
Easysoft differentiates with dual SQL/SOQL driver models and Windows-focused reporting compatibility.
Simba emphasizes standardized ODBC configuration widely documented across analytics platforms.
Salesforce ODBC connectivity is not a commodity layer when analytics pipelines, scheduled refreshes, and reporting environments depend on it daily. The practical differences between drivers emerge in performance under load, SQL behavior, authentication management, and deployment environments.
Each of these tools serves a distinct operational profile. The right choice depends on infrastructure structure, query patterns, security policies, and expected data volume—not on marketing claims.
Jabra, a global leader in professional audio and video solutions, announcedthe launch of the Evolve3 series, the next generation of its market-leading headset lineup. Building on the success of Evolve and Evolve2, this latest evolution introduces a boomless mic design with class-leading comfort and portability, future-ready voice access for AI and real-time adaptive noise cancellation. It’s engineered to be the first true cross-over headset, built to meet the needs of today’s hybrid professionals and designed for day-to-day personal use.
The Evolve3 85 (over-the-ear) and Evolve3 75 (on-the-ear) offer professional-grade voice clarity and all-day comfort in a modern, contemporary and Danish design. Whether switching between meetings, concentrating on complex projects or using voice to activate AI tools, Evolve3 is built to match the pace and flexibility of modern work.
I have been testing these out for a few days but this does not warant a review just yet but I will say so far after initial testing these are specatular with the audio both on PC calls and listening to music so far and the size difference between the last model and these is remarkable and in my opinion not just a typical cautious spec bump most companies put out each year but rather a big leap foward.
Poor sound quality remains a top concern for today’s professionals, with 99 percent of knowledge workers reporting that bad audio impacts online meetings and call quality ranking as the number one pain point in headset use. Despite this, only 20% are using an enterprise grade headset and rely on other solutions, with 46 percent still bringing consumer headsets to work, which often lack the clarity, comfort and compatibility needed for professional communication.
There is a preference for consumer headset design, and Evolve3 is intended to meet this challenge with a cross-over experience that delivers professional grade performance paired with matching consumer expectations on design. For the first time, users will sound professional but look smart, regardless of wearing it for prolonged time in the office, being on calls in an airport, listening to media on a flight, taking meetings while commuting in traffic or any other situation where you need a headset. Evolve3 delivers clear speech in any environment, even outdoors, which is a significant step up in performance from the previous Jabra Evolve2 85 and 75 boom arm products.
Distraction-free conversations in any environment
Evolve3 features Jabra ClearVoice, a combination of deep neural network (DNN) technology and Jabra’s multi-mic algorithms. Inspired by how the human brain filters noise in a crowded room, and leaning on technology from GN’s hearing division, the DNN model processes layers of sound data to distinguish the user’s voice from surrounding noise without the need for a visible boom arm. This means you can now always be heard clearly on a call with all background noise blocked. This AI-driven approach works with the hardware to enable discreet mic placement while maintaining high level clarity.
Adaptive Active Noise Cancellation (ANC) responds in real time to both your environment and how the headset fits. Unlike most headsets, the ANC on Evolve3 85 and 75 continues to block out distractions even during calls, not just between them. Whether in a meeting or listening to music, Jabra Evolve3 helps users stay in the zone with fewer interruptions.
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Designed for both work and pleasure
Unlike traditional professional headsets, Jabra Evolve3 85 and Jabra Evolve3 75 offer a minimalist design that fits the flexibility of modern work scenarios as well as most user’s wish for a clean, every-day look. This makes Evolve3 a true cross-over headset from professional to leisure use. The Evolve3 85 is an over-the-ear headset designed for immersive focus, while the Evolve3 75 offers an on-the-ear fit for lighter wear with greater environmental awareness. Both models are the most compact and lightweight design in their class, setting new standards for comfort and portability.
Voice-ready for the future of work
Evolve3 supports voice interaction through seamless and accurate access to Gen AI, enabling professionals to use voice input in mobile and screen-free scenarios. Powered by Jabra ClearVoice, this system uses AI-driven deep learning technology trained on more than 60 million real-world sentences to isolate speech from background noise with high accuracy. In real-world environments, it delivers AI-ready performance capturing 96% of words accurately across tested environments (99% in open office), even without a visible boom-arm. This helps users with AI prompts, to complete tasks, issue commands or dictate messages on the go. Voice input is up to three times faster than typing, making it a practical option for staying productive in mobile or screen-free situations.
Smart, secure and scalable
The Evolve3 series is certified for major UC platforms, includes a pre-paired Bluetooth adapter for instant and secure connectivity and supports Bluetooth Native for connection directly to devices. With the Jabra Plus Management software, IT teams can manage devices remotely, push firmware updates and configure settings through a central dashboard. End-users benefit from the new Jabra Plus mobile app with customisation options like equalizer controls, wind noise reduction and quick firmware updates from their smartphone. A desktop version of the Jabra Plus app will be available later in 2026.
Both headsets also feature replaceable batteries for extended product life, in compliance with repair legislation. With up to 25 hours of calls and 120 hours of music, wireless charging and fast charging that provides up to 10 hours of power in just 10 minutes, the Evolve3 series is designed to keep professionals connected and powered throughout the day.
Calum MacDougall, President at Jabra says, “In today’s hybrid world your work and life converge into one and with Evolve3 we deliver a real step-change in user experience of a professional headset. This series brings together industry-leading voice technology, a design you want to wear and seamless integration with the tools and platforms you rely on every day both professionally and personally.”
Key Features shared across both Evolve3 85 and Evolve3 75
· Boomless design with Jabra ClearVoice, powered by deep neural network (DNN) technology for professional-grade voice clarity
· Adaptive Active Noise Cancellation that adjusts in real-time to environment
· Spatial Sound for more natural, and less fatiguing call experiences
· Fast-charge support that delivers up to 10 hours of power in just 10 minutes by cable. Wireless charging also available.
· Voice input for accurate access to AI workflows and tools
· AI-readiness and screen-free productivity
· Tuned for high-fidelity music with the LC3 audio codec
· Certified for leading virtual meeting platforms (UC-certified variants)
· Secure Bluetooth Low Energy connectivity with pre-paired adapter included
· Centralised device management through Jabra Plus Management
· Customisation and control via the Jabra Plus mobile and desktop (later in 2026) app
· Replaceable batteries to extend product life and support battery recycling
· Designed with sustainability in mind incl. recycled and bio-circular materials, replaceable parts (batteries and ear cushions) and certified to TCO generation 10
Jabra Evolve3 85 (Over-the-Ear) Key Features
· Over-ear design for maximum immersion and noise isolation
· Ideal for professionals needing full focus in louder environments
· Extended battery life for 25 hours of call time or 120 hours of listening to entertainment (with ANC/busylight off) and 10-minute fast charge for 10 hours of use
· 35% slimmer and 23% lighter than Jabra Evolve2 85
· Foldable and portable with compact storage case
Jabra Evolve3 75 (On-the-Ear) Key Features
· On-ear design for lighter, more breathable wear
· Great for hybrid workers who want greater situational awareness
· 22 hours of call time or 110 hours of listening to entertainment (with ANC/busylight off) and a 10-minute fast charge for 10 hours of use
· More compact and travel-friendly for everyday mobility
Availability
·Jabra Evolve3 85 will be available from March 1, 2026 from £495
the Bundle option with wireless charging at £539
·Jabra Evolve3 75 will be available from March 1, 2026 from £349
the Bundle option with wireless charging at £389
·Warm Grey colour variant will be available in select markets from April 2026
In the pursuit of digital transformation, businesses often spotlight their cutting-edge applications, their multicloud strategies, or their latest AI models. Yet, behind each of these advancements lies a powerful, unseen engine: the enterprise storage platform. Ivor Buckley, Field CTO, Dell Technologies Ireland tells us more below
Once regarded as a back‑end system, enterprise storage has become a strategic platform that underpins innovation. As Irish organisations race to modernise services, comply with regulation and compete internationally, the way they store, protect, and govern data is turning into a fundamental differentiator.
Today’s IT leaders face a significant challenge. They must support an ever-expanding portfolio of workloads, from critical business databases to cloud-native applications and data-intensive AI projects. All this must be achieved within the constraints of tight budgets and limited staffing. The sheer volume of data being created and managed is staggering; global data generation is expected to reach 393.9 ZB by 2028 as per IDC. This explosion of information puts immense pressure on infrastructure that was not designed for this scale or complexity resulting in data foundations under strain
According to the latest Dell Innovation Catalyst Study, 48% of Irish organisations are prioritising data readiness for AI related workload, while 66% say they are still in their early or mid-stage of their AI/GenAI journey. This underscores a reality that organisations want to innovate but their data foundations and current storage systems are not fully equipped.
From Data Silo to Intelligent Hub
The perception of enterprise storage as a mere commodity is outdated. Modern platforms have become intelligent hubs that automate complex tasks and unlock new efficiencies. By integrating machine learning and advanced analytics, today’s storage systems can proactively optimise workload placement, predict performance bottlenecks before they occur, and simplify management tasks that once consumed countless hours.
This shift is relevant in Ireland, where businesses from multinationals to SMEs are accelerating digital transformation under the National AI Strategy. A study Dell undertook found that 96% of Irish organisations face challenges when it comes to identifying, preparing, and using data for AI/GenAI uses cases, with 40% struggle to integrate AI systems with existing IT infrastructure. Intelligent storage platforms directly address these pain points by reducing complexity and improving data accessibility without creating new data silos
For Irish businesses planning to expand their e-commerce operations and presence, a modern storage platform can intelligently prioritise these diverse workloads, ensuring that customer-facing applications remain responsive while they have high-speed access, they need to train their models that maintain the strategic initiatives that drive business growth.
Bridging Private Cloud and Multicloud for Seamless Innovation
In today’s digital landscape, businesses are increasingly faced with the decision to operate within a private cloud, adopt a multicloud environment, or find a balance between the two. Enterprise storage serves as the reliable backbone for these evolving strategies, delivering the infrastructure needed to provide both security and agility at scale.
For Irish businesses relying on private cloud infrastructure, enterprise storage provides robust data protection, predictable performance, and the confidence that sensitive information remains under their control. As organisations here in Ireland expand further into multicloud setup, seamless data mobility becomes essential not just for storing data but also for making it accessible and secure wherever it resides.
According to the Dell study, 46% of local organisations plan to modernise their IT with intelligent infrastructure, and another 46% aim to optimise workload placement across edge, core, and cloud environments.
The right storage platform is central to both goals: it can synchronise data across environments, break down silos and help ensure that everyday operations remain stable even as new services and AI projects come online.
This reflects a clear shift towards hybrid architecture, a trend mirrored in Ireland’s public-sector digital transformation and the country’s growing cloud smart enterprise landscape.
Crucially, enterprise storage also addresses security, and compliance demands unique to both private and multicloud models. By providing unified management and strong governance features, these platforms make it easier for businesses across Ireland to implement consistent security policies and adhere to regulatory requirements. The result is an IT environment that’s not only flexible and responsive but also protected, adhering to regulation and aligned with business goals.
Fuelling the Future of AI and Analytics
Perhaps the most significant driver of storage innovation today is AI. AI and machine learning workloads are incredibly data-hungry, requiring massive datasets to be fed to powerful processors without delay. A bottleneck in the storage layer can bring an entire AI initiative to a standstill.
Modern enterprise storage platforms are engineered to meet these demands, delivering the high throughput and low latency needed to fuel advanced analytics. A healthcare provider, for instance, might use AI to analyse medical images to detect diseases earlier. This process requires rapid access to petabytes of high-resolution image data. An intelligent storage system ensures that this data is readily available, accelerating the model training process and ultimately improving patient outcomes.
One of the most significant developments in this space is the emergence of the data lakehouse – a modern data architecture that blends the flexibility of a data lake with the performance and governance of a data warehouse.
Rather than forcing organisations to move and duplicate data repeatedly into different silos, a Data Lakehouse strategy is about bringing AI to the data. By minimising unnecessary data movement and providing a single point of access, it helps address some of the biggest blockers to AI projects: fragmented data, inconsistent governance, and slow time‑to‑insight.
Modern Enterprise Storage Has Become the Unseen Engine of Digital Innovation
The journey of enterprise storage reflects the broader story of technological progress. What was once a simple utility has become a strategic enabler for Cloud, AI and data-driven services, quietly powering the applications and insights that define modern business. By embracing automation, enabling seamless data mobility, and delivering the performance needed for next-generation workloads, enterprise storage has become the unseen engine of digital innovation.
Irish businesses are operating in one of Europe’s most dynamic digital economies and the opportunity is clear. Ireland’s National AI Strategy aims to see 75% of Irish enterprises using cloud, AI, and data analytics by 2030. To fully realise this potential, businesses must proactively evaluate, adopt, and integrate these advanced solutions into their Cloud Operating Model. This isn’t just about keeping up, it’s about unlocking new levels of efficiency, innovation, and competitiveness. By investing in vital storage infrastructure, businesses of all sizes can simplify data management, scale with confidence, and accelerate their AI journey for the next wave of AI-driven transformation.
