Not too long ago, marketers had to manually go through yesterday’s bulk of data to craft their reports. Reading the audience correctly is an art, and, less than a decade ago, these professionals had to do so with little to no digital support. Today, nearly everything happens in real time, especially analytics, which is why it’s time to look for the best web analytics in 2026.
Historical information hasn’t lost its importance, but the competitive edge for marketers and companies now lies in the present moment. Here’s how realtime web analytics is set to transform the data analytics services landscape in 2026.
The digital world is like clouds in the sky; it’s different every time one looks up. Viral content comes out of the blue, and topics become trendy as quickly as they get forgotten. So, reading the audience in real time using the right web analytics tool has become indispensable.
Not only is it necessary to adapt to emerging trends, but also to user behavior. Here, choosing the best web analytics for websites in 2026 saves the day once again, providing actionable insights to personalize the user experience on the go. Unsurprisingly, the global web analytics market is skyrocketing, with specialists forecasting a CAGR of up to 19% between 2025 and 2032.
Moreover, it allows companies to identify anomalies as they occur, preventing further damage and maintaining the level of user experience. There are also other advantages, such as fraud detection, improved productivity, and more efficient decision-making. Indeed, modern web analytics software can do much more than tracking clicks and traffic.
Since the main tasks of most web analytics tools are to save and analyze user information, they have raised legitimate privacy concerns. In many cases, such tools collect users’ data without their consent. However, that’s not the only (or even less so, the best) way of doing business in this field.
The best tools have a privacy-first approach, collecting much less data than traditional ones. While this approach results in a smaller data volume, that information is by no means less valuable. Marketers can still get actionable insights from this information by using platforms which provide privacy-by-design data collection. Such platforms anonymize and encrypt their data for enhanced protection, without necessarily compromising the depth of analysis.Moreover, they only do so with user consent. It’s not only a matter of doing ethical business. As new privacy laws emerge in major jurisdictions like the European Union, the USA, China, and Brazil, protecting users’ anonymity has become a matter of compliance. It means that tools that somehow breach such standards will likely miss out on tremendous marketing opportunities.
At the Speed of Now
In 2026, the superiority of web analytics tools will be measured mostly by uncompromised integrity and instantaneous insights. The winners will likely be those capable of doing more with less data. After all, interpreting live trends has become indispensable for online marketing. In other words, the future belongs to those who analyse with speed and conscience.
The rapid digitalization of the healthcare sector has brought data to the forefront of clinical decision-making, operational efficiency, and patient outcomes. Healthcare providers, digital health startups, research institutions, and payers now rely heavily on intelligent data tools to extract value from vast volumes of clinical, administrative, and patient-generated information. Healthcare analytics companies are leading this transformation, offering solutions that improve care quality, reduce costs, enable interoperability, and support population health management. Below is a detailed list of the top healthcare analytics companies in 2025 that are redefining the future of data-driven healthcare.
1. Kodjin
Kodjin is an advanced, FHIR-native healthcare data analytics platform designed to help healthcare organizations unify fragmented data sources, standardize datasets, and generate actionable insights in real time. Built by Edenlab, Kodjin solves a core problem in healthcare: lack of interoperability and the difficulty of transforming raw medical data into structured, analyzable formats.
The platform incorporates a powerful FHIR engine, ensuring compliance with global data standards while enabling seamless exchange of clinical information across systems, applications, and care environments. Kodjin empowers hospitals, payers, and digital health vendors with dashboards, predictive models, query tools, and analytics workflows that support population health analysis, operational management, clinical decision-making, and regulatory reporting. With its focus on clean data, speed, security, and scalability, Kodjin positions itself as a cornerstone solution for organizations undertaking digital transformation, building health information exchanges, or implementing modern data architectures.
2. Optum
Optum is one of the most established names in healthcare analytics, offering robust data intelligence solutions for providers, payers, and life sciences organizations. Leveraging one of the largest healthcare datasets in the world, Optum delivers insights that support predictive risk modeling, chronic disease management, and operational optimization. Its analytics tools help healthcare systems identify care gaps, improve value-based care performance, and reduce unnecessary utilization. Optum’s long-standing expertise, combined with AI-driven analytics and deep clinical datasets, makes it a trusted partner for organizations seeking to enhance care quality and efficiency.
3. SAS Institute
SAS Institute is a global leader in advanced analytics and AI-driven health intelligence. Its healthcare suite uses machine learning, statistical modeling, and data science to support clinical research, population health initiatives, and hospital management. Healthcare organizations rely on SAS for fraud detection, epidemiological modeling, outcome prediction, and quality improvement. With decades of experience in data analytics and an unmatched record in trustworthy algorithms, SAS empowers medical researchers and health systems to uncover patterns and derive insights that lead to evidence-based improvements in care.
4. Health Catalyst
Health Catalyst provides cloud-based analytics and data warehousing solutions specifically tailored to the healthcare sector. The company helps organizations aggregate, normalize, and analyze data from across clinical and administrative systems. Health Catalyst’s platform is widely recognized for driving measurable improvements in operational performance, cost reduction, and patient outcomes. Their tools support decision-making across quality metrics, financial operations, and patient experience. By focusing on outcome-driven analytics and real-world implementation, Health Catalyst stands out as a leading partner for hospitals aiming to accelerate digital transformation and enhance clinical efficiency.
5. IQVIA
IQVIA is a powerhouse in healthcare analytics, blending real-world data, artificial intelligence, and life sciences expertise. Known for its extensive datasets and advanced data modeling, IQVIA supports pharmaceutical companies, researchers, and health providers with tools for real-world evidence analysis, clinical trial optimization, and patient journey insights. Their platform enables organizations to analyze treatment effectiveness, improve drug development processes, and strengthen population health strategies. IQVIA’s unique ability to integrate clinical, genomic, and behavioral data makes it a foundational analytics partner for organizations focused on precision medicine and innovation.
6. Truven Health Analytics (IBM Watson Health)
Truven Health Analytics delivers evidence-based insights powered by AI and natural language processing through IBM Watson Health technologies. The company provides analytics solutions for population health management, clinical benchmarking, and operational efficiency. Truven’s tools allow hospitals to evaluate performance, improve patient safety, and align care delivery with national quality standards. Government agencies and employers also rely on Truven for policy evaluation and cost analysis. With strong analytical capabilities and a focus on actionable intelligence, Truven helps healthcare systems make informed decisions that improve outcomes and reduce costs.
7. MedeAnalytics
MedeAnalytics provides enterprise analytics solutions designed to help healthcare organizations strengthen both financial and clinical operations. Its platform offers real-time dashboards, revenue cycle analytics, and population health tools that enable healthcare leaders to uncover inefficiencies and identify improvement opportunities. MedeAnalytics focuses on intuitive data visualization, giving stakeholders at all levels—from executives to clinical managers—the ability to interpret data quickly and effectively. Their predictive analytics solutions also support resource planning, patient engagement, and quality improvement initiatives. By turning complex data into clear, actionable insights, MedeAnalytics enables organizations to achieve measurable performance enhancements.
Conclusion
The healthcare analytics landscape is becoming increasingly vital as organizations navigate growing data requirements, regulatory pressures, and the shift toward value-based care. Each company on this list plays a crucial role in advancing data-driven healthcare—whether through enhanced interoperability, predictive modeling, research analytics, or operational intelligence. Kodjin, with its FHIR-native architecture and focus on real-time data standardization, stands out as a leader for modern healthcare ecosystems seeking scalable and future-proof analytics solutions. Together, these top healthcare analytics companies empower the industry to improve patient outcomes, increase efficiency, reduce costs, and accelerate innovation. In a world shaped by digital health, analytics is not just a tool — it is the foundation of smarter, safer, and more efficient care delivery.
In today’s digital world, social media is at the heart of brand engagement. It is no longer merely a medium related to visibility; it is an important vehicle for building identity, trust, and engagement with an audience. All interactions, posts, and comments contribute to brand perception and impact purchasing decisions. Brands that want to persistently grow must do more than look at vanity metrics—likes and shares—to create real engagement that resonates emotionally and intellectually. Expert branding consultancy services drive this process, assisting organizations with creating and sustaining an online presence aligned with their values and audiences’ preferences. Building from reach to real impact requires a thoughtful approach to an authentic narrative that promotes connection, relevance, and purpose.
7 Smart Social Media Strategies for Growing Brands
1. Harnessing Cultural Insights to Create Deeper Connections
Identifying audiences requires more than simply demographic analysis; it requires an understanding of the culture in which the audience inhabits. Utilizing cultural insights equips brands to engage in the social conversations tied to the audience and reflect their values and trends that matter to them. When brands engage with their audience’s beliefs and cultures, it creates authenticity that cannot be bought and manufactured through paid campaigns. Recognizing and celebrating community moments, tying into relevant conversations, or highlighting regional influences places the brand in a comfortable, relatable, human pillar rather than the traditional corporate voice.
2. Developing a Consistent and Distinct Brand Voice
Each post, comment, or caption plays a role, however big or small, in developing how a brand is perceived. Being consistent with a tone (professional, conversational, funny, or inspirational) creates familiarity and builds trust. Visuals, language, and responses should all reinforce this voice across all platforms. If a tone is inconsistent, audiences can become confused, and the identity can be weakened. When a style guide is built to outline the tone and imagery to use as the model for your voice, it ensures that every brand communication showcases the same essence, so the audience can recognize the brand in any format.
3. Prioritizing Storytelling Over Selling
Social media is all about storytelling—stories that inspire people by touching on emotion, value, and the personal side of a brand. Instead of promoting products constantly, the best stories are about journeys, struggles, and stories behind the success. Sharing a customer’s experience, a behind-the-scenes look at a service or product, and the people who work at your organization creates transparency and relatability. A better story ties back to the purpose we often refer to; that story goes further and sticks with the reader longer than one that is only about ‘selling’ and positions the brand as a brand that connects with people rather than simply an advertisement.
4. Embracing Data Analytics for Smarter Decision-Making
Numbers have their own stories to tell. Social media analytics provides insights into audience behavior, content performance, and engagement trends. By observing key metrics, such as engagement rates, demographic audiences, and sentiment, brands can determine how to optimize and adjust. Data helps turn strategy into information. Frequent analysis gives a brand the ability to be agile to shifts in trends while maintaining a consistent message.
Influencers are still incredibly important in linking brands to communities. The right influencer partnership builds credibility, especially if the influencer aligns with brand values. Rather than counting up followers, for successful partnerships, we prioritize authenticity and audience trust. For example, micro-influencers often create more engagement due to their niche communities. As part of a larger marketing effort, brands can grow reach and maintain authentic connections with their audiences by leveraging influencer content.
6. Integrating Social Responsibility into Brand Messaging
Contemporary consumers expect brands to operate positively. Showing sustainability initiatives, community projects, or good ethical conduct earns trust and affinity from consumers. When a brand shares social media content that truly demonstrates a commitment—like a commitment to environmentally-friendly practices, or inclusivity, for example—it shows it is accountable in ways beyond profits. The more a brand provides transparency about its impact, the better it creates a positive reputation when trying to attract values-driven consumers who prefer to only engage with brands that make an impact.
7. Encouraging Two-Way Engagement and Community Building
Social media should not be a simple broadcast for only one party. Participating in the dialogue (replying to comments, resharing user posts, or hosting activities) fosters community and trust. Audiences enjoy being acknowledged and included. Polls, Q&As, and participation campaigns help convert a passive follower into an active contributor. Once people feel that they are all on the same journey together, they will advocate for your brand. The most powerful social presence does not dominate; it starts a conversation.
End Point
Sustainable growth on social media requires more than being seen. It is built on authenticity, connection, and adaptability. Combining creativity with data, empathy with analysis, and storytelling with responsibility can help brands create impact and improve their overall presence online. These seven strategies serve as a guide for growth that doesn’t go away, turning brands into members of their community, rather than a voice in the crowd. Real impact occurs when social media is more than a marketing tool, but a device driven by purpose.
In today’s rapidly evolving healthcare environment, data has become a critical asset. Organizations are seeking to harness clinical, operational and claims information to drive better outcomes, reduce costs and improve patient experiences. Healthcare data analytics firms play a vital role in this transformation—offering platforms, services and expert guidance that turn raw data into actionable intelligence. Here are seven leading companies that stand out in the healthcare data analytics space.
1. Edenlab
Edenlab specializes in healthcare data architecture, interoperability, analytics platforms and decision‑support systems connecting disparate data sources—clinical, claims, monitoring and administrative. As trusted providers of healthcare data analytics solutions, they help healthcare organizations build scalable data lakes, clinical data repositories, ETL pipelines and analytics engines that enable real‑time insights, predictive modelling and population health management.
Their expertise in FHIR, large‑scale data processing and custom analytics has enabled providers and payers to consolidate fragmented data ecosystems, improve data governance and extract value across the care continuum. With consistent emphasis on performance, scalability and compliance, Edenlab is a partner of choice for health systems looking beyond dashboards to embedded analytics and intelligence.
2. Health Catalyst
Health Catalyst is a well‑known analytics firm dedicated exclusively to healthcare. Their platform brings together clinical, financial and operational data to support performance improvement across care delivery, cost management and regulatory reporting. With extensive experience spanning hundreds of health systems, Health Catalyst provides robust analytics libraries, machine‑learning models and workflow integration to help clients move from data to outcomes. Their strength lies in helping clients embed analytics into clinical and administrative workflows, enabling care teams to act on insights rather than just view them.
3. Innovaccer Innovaccer offers a data activation platform designed for providers, payers and digital health innovators. Their technology connects multiple data sources—EHRs, claims, patient‑generated data and social determinants—to provide a unified patient record, analytics and care‑management tools. Through predictive risk modelling, care‑gap identification and segmentation analytics, Innovaccer helps healthcare organizations transition to value‑based care, optimize provider performance and engage patients. Their focus on data readiness, workflow integration and actionable insights positions them as a strong player in the data analytics market.
4. CitiusTech CitiusTech is a global healthcare technology firm offering data management, consulting and analytics services. Their healthcare data analytics capabilities span advanced visualizations, predictive modelling, AI/ML integration and cloud‑based data platforms. They serve payers, providers and life‑sciences companies wishing to scale data analytics initiatives, unify fragmented systems and derive business value from large volumes of healthcare data. With deep domain experience and consulting capability, CitiusTech helps organizations build analytics road‑maps, accelerate time‑to‑insight and optimize both clinical and financial performance.
5. Merative (formerly IBM Watson Health) Merative brings decades of experience in data, analytics and AI for the healthcare sector. Their solutions leverage clinical, genomic and real‑world evidence data to provide insights for providers, life sciences firms and research organizations. Through analytics‑enabled decision support, outcomes modelling and cost‑quality optimisation, Merative supports clients in translating data into strategic action. Their global footprint and strong product ecosystem make them a key choice for healthcare data‑analytics needs with scale and complexity.
6. Datavant Datavant is a healthcare data and analytics infrastructure company whose core strength lies in linking and harmonising data across healthcare participants—providers, payers, research institutions and technology firms. By enabling secure data exchange and establishing linked ecosystems, Datavant allows clients to derive deeper analytics from integrated datasets rather than isolated silos. Their focus on data connectivity, de‑identification and analytic readiness supports advanced use cases such as population risk modelling, real‑world evidence generation and operational benchmarking.
7. Sophia Genetics
Sophia Genetics may be known for its genomics platform, but its analytics capability spans imaging, clinical and molecular data to deliver insights for hospitals, laboratories and biopharma. Their data‑driven medicine platform combines multi‑modal analytics and machine learning to enable precision diagnostics and actionable insights. While niche, their expertise represents a growing frontier in healthcare data analytics—where deep biomedical data is fused with analytics to move from population care to personalised medicine.
Conclusion Healthcare data analytics is no longer a nice‑to‑have—it’s a strategic imperative. By integrating, modelling and interpreting data across clinical, operational and population domains, organisations can gain the insights needed to refine care delivery, reduce cost, engage patients and meet regulatory challenges. The companies listed above represent the leading edge of this field, offering platforms and services that transform data into actionable intelligence.
Among them, Edenlab stands out for its strong focus on scalable healthcare analytics architecture, interoperability and custom analytics solutions. Their healthcare data analytics solutions offering enables healthcare organisations to move from scattered data to strategic insight and improved decision‑making. As data volumes swell, regulatory demands increase and value‑based care intensifies, partnering with an experienced analytics firm becomes critical for turning data into impact.
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.
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.
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.
Equifax has announced the opening of its state-of-the-art AI Innovation Lab at its operation in Wexford, Ireland, a new facility dedicated to advancing the company’s global artificial intelligence research and development. The new Lab builds on the company’s more than 10-year history of AI innovation and expands its global team of over 1,200 data and analytics professionals.
This investment, supported by the Irish Government, through IDA Ireland, will serve as a global hub for innovation, bringing together highly skilled data and technology specialists to create next-generation AI solutions that enhance decision-making, improve customer and consumer experiences, and help global organisations reduce risk.
The AI Innovation Lab will focus on developing advanced AI models, machine learning algorithms, Research and Development, and data analytics tools to address complex challenges faced by businesses and consumers. For its initial phase, the lab will concentrate on AI-driven solutions for credit risk assessment that can augment decision-making for fintechs and financial institutions. These innovations will leverage advanced AI to provide affordability and creditworthiness insights, helping more people access mainstream financial opportunities and driving greater financial inclusion. This includes enhancing fraud detection, improving credit risk assessment, optimising marketing strategies, and strengthening cybersecurity measures.
The lab will play an important role in advancing the Equifax global EFX.AI strategy, furthering the company’s ongoing innovation and the development of data-driven solutions that can help open up new financial opportunities for consumers.
Ceann Comhairle, Verona Murphy TD, said:“The Equifax decision to establish its AI Innovation Lab in Wexford is a powerful vote of confidence in Wexford and the South East Region, this investment highlights the highly skilled workforce and culture of innovation on offer in Wexford for companies that wish to expand their offering globally.”
Paul Heywood, Chief Data & Analytics Officer for Equifax Europe, commented:“Our new AI Innovation Lab is designed to empower financial institutions with the tools needed to make smarter, faster, and more confident credit decisions, helping more consumers live their financial best. Through the AI Innovation Lab, and by harnessing our unique data and insights within the Equifax Cloud, we are committed to delivering secure, reliable, and innovative best-in-class solutions for businesses and consumers alike.
Driving AI innovation is a key EFX2027 Strategic Priority. We are incredibly excited to expand our Wexford team through this investment and have immense confidence in the calibre and expertise of the marketplace in Ireland and specifically in the South East, as evidenced by our thirty-year presence in Wexford town.”
Deirdre O’Connor, Head of Regional Development, IDA Ireland said: ‘I wish to congratulate Equifax on the opening of this AI Innovation lab. Artificial Intelligence is a key growth driver in IDA Ireland’s new strategy ‘Adapt Intelligently.’ The Equifax decision to expand its presence in Wexford is a testament to Ireland’s position as a hub for global innovation and AI. I am delighted that this will bring Equifax employment in Wexford to 100 employees and would like to wish them every success with this AI Innovation Lab.’’
The official opening on 10 September 2025 brought together senior Equifax leaders, Raghu Kulkarni, Chief AI Officer; Ritu Sharma, SVP, Global AI Governance and Model Risk Management; Elizabeth Chapman, VP Operations, Transformation and Change; and Paul Heywood, Chief Data and Analytics Officer for Equifax UK; as well as government representatives, and industry stakeholders including IDA Ireland.
For a growing number of businesses, managing the payment technology in-house has shifted from optional to essential for operational success. While third-party providers make it possible for almost any business to accept payments quickly, building a gateway from the ground up is a different challenge entirely.
This article explores what it truly takes to build a payment gateway in 2025, the costs and challenges involved, and why many businesses opt for advanced orchestration platforms instead.
What is a payment gateway and why it matters
A payment gateway is a piece of technology that securely transfers payment information between the customer, the merchant, and the financial institutions involved in the transaction. It works like a digital point-of-sale terminal, confirming payment details, approving transactions, and making sure funds move quickly and safely.
The performance of a payment gateway can be the difference between a transaction completing in seconds or being abandoned altogether. If it’s slow or unreliable, it adds friction at a crucial moment in the buying process, which can lead to lost sales.
For global businesses, a payment gateway is far more than a back-end tool – it’s a strategic advantage. It influences the markets you can operate in, the currencies you can accept, and the level of fraud protection you can offer. In industries with high transaction volumes or greater risk, having full control over this infrastructure allows companies to adjust every stage of the payment process, from routing decisions to cost efficiency.
How does a secure payment gateway work
If you plan to create a payment gateway in-house, understanding how data moves between customers, merchants, and banks is essential to making informed architecture choices.
Customer checkout: the buyer enters payment details on the merchant’s website or app.
Encryption & transmission: sensitive data is encrypted and sent to the gateway.
Routing to acquirer: the gateway forwards the request to the acquiring bank or payment processor.
Card network processing: Visa, Mastercard, or alternative payment rails verify the transaction with the issuing bank.
Authorisation & settlement: funds are authorised instantly and later settled into the merchant’s account.
Modern gateways also incorporate payment integrations with multiple acquirers, alternative payment methods (APMs), and fraud detection systems for a unified and efficient processing flow.
Payment gateway architecture: key components
A payment gateway’s architecture is the blueprint that determines how efficiently, securely, and reliably it can process transactions. In 2025, the best gateways are built on modular, API-first frameworks that allow flexibility, rapid integration, and future scalability.
At the core is the transaction processing engine – the component that manages the entire payment flow from authorisation requests to settlement. Around it are key layers, each with a specialised role:
Integration layer. Connects the gateway to banks, payment processors, alternative payment methods (APMs), and fraud prevention systems. A flexible integration layer ensures the gateway can add or switch providers without major redevelopment.
Security layer. Handles encryption, tokenisation, and fraud detection. It ensures sensitive cardholder data never leaves secure environments and that transactions are continuously monitored for risks.
Routing layer. Decides how transactions are sent to different acquirers or processors, optimising for speed, cost, or approval rates. In multi-acquirer setups, smart routing can significantly improve performance.
Compliance layer. Embeds regulatory and legal requirements into the system, such as PCI DSS, PSD2, and SCA, so that compliance infrastructure is automatic and consistent across all transactions.
Monitoring & analytics layer. Tracks transaction success rates, latency, and error patterns, providing real-time visibility into performance and enabling quick issue resolution.
Many organisations start with a modular, API-first design, then evaluate whether to continue building or partner with a payment orchestration provider to accelerate integrations and resilience.
Why it’s beneficial to create a custom payment solution
Building a custom payment solution gives businesses the ability to shape their payment infrastructure around their specific needs, rather than adapting their operations to fit an off-the-shelf system. This control can translate into higher efficiency, better user experiences, and measurable cost savings.
The key benefits include:
Full control over routing. Choose the most cost-effective or reliable path for each transaction, improve approval rates, and reduce fees.
Tailored payment flows. Customise checkout to match your brand, simplify repeat purchases, and offer the most relevant payment methods.
Enhanced security. Go beyond compliance with advanced fraud detection, tokenisation, and AI-powered risk checks.
Flexible growth. Add features, expand to new markets, and adopt new payment technologies without waiting on a provider’s roadmap.
Final takeaways
Building your own payment gateway offers unmatched control and flexibility, but it requires substantial investment, technical expertise, and ongoing operational effort. For most companies, the better option is to partner with a proven orchestration platform that offers the same capabilities while handling the complex parts – from licensing to integrations.
The healthcare sector has seen massive transformations in recent years, with technology playing a pivotal role in reshaping the way medical professionals operate. One area where tech innovations are proving especially beneficial is in the fight against medical malpractice. From advanced data analytics to artificial intelligence, modern tools are helping to detect errors, improve care quality, and ensure that healthcare providers are held accountable when mistakes occur.
The introduction of cutting-edge technologies is not only helping to prevent incidents of malpractice but also providing victims with stronger evidence to support their claims. These innovations are improving the medical field’s ability to learn from mistakes and implement changes that can save lives. As the technology continues to evolve, its role in reducing malpractice and improving patient safety will only grow stronger.
AI and Machine Learning in Diagnostics
One of the most significant advancements in medical technology is the development of artificial intelligence (AI) and machine learning algorithms. These technologies are making a profound impact on diagnosing diseases, and importantly, they are playing a critical role in reducing incidents of medical malpractice. According to Mann Blake & Jackson, misdiagnosis or delayed diagnosis is one of the leading causes of medical malpractice claims, and AI has the potential to drastically minimize these errors by offering more accurate, data-driven diagnoses. In cases where a healthcare professional overlooks or incorrectly interprets a condition, AI acts as an additional layer of scrutiny, reducing the chances of malpractice arising from diagnostic mistakes.
AI-powered systems analyze vast amounts of medical data, including lab results, patient history, imaging scans, and more, to identify patterns that might not be immediately obvious to the human eye. This helps to ensure that diagnoses are not only quicker but also more precise, which is crucial in preventing mistakes that could lead to malpractice claims. In fact, AI systems are now being used to assist in diagnosing conditions such as cancer, heart disease, and rare disorders, areas where misdiagnosis is often a significant risk. By identifying abnormalities early on, AI minimizes the risk of missed diagnoses, thereby lowering the likelihood of patients suffering from medical malpractice.
Moreover, AI and machine learning can identify trends that might suggest systemic issues in a healthcare setting. By analyzing patterns in malpractice lawsuits and patient outcomes, AI can highlight common areas where medical errors are more likely to occur. For example, AI tools can help healthcare providers identify high-risk procedures or conditions prone to misdiagnosis, enabling them to take preventive actions. This shift from reactive to proactive care is vital in reducing instances of malpractice and improving overall patient safety.
Electronic Health Records (EHR) and Patient Tracking Systems
Electronic health records (EHRs) have become a critical component of modern healthcare, and their role in preventing medical malpractice cannot be overstated. These digital records provide a comprehensive, up-to-date view of a patient’s medical history, prescriptions, lab results, and past treatments. The integration of EHRs ensures that healthcare providers have access to the right information at the right time, reducing the chances of errors caused by outdated or incomplete records.
In addition to improving record accuracy, patient tracking systems are also becoming more sophisticated.
These systems allow healthcare providers to monitor patient progress in real time, ensuring that any deviations from expected recovery trajectories are quickly identified. By improving communication and data accessibility, EHRs and patient tracking systems help to minimize mistakes that can lead to malpractice claims and ensure patients receive the best care possible.
Solutions like Studycast, a cloud-based PACS, complement EHRs by enabling fast and secure sharing of medical images between providers, supporting more accurate diagnoses and streamlined collaboration across care teams.
Integrating sleep medicine EHR software into this workflow enhances continuity of care by centralizing study data, patient histories, and diagnostic reports for more efficient evaluation and treatment planning.
Moreover, the ability to share EHRs securely among different healthcare providers allows for better collaboration. Specialists, general practitioners, and hospitals can all access the same data, ensuring that no important details are missed during the patient’s treatment journey
Telemedicine and Remote Consultations
Telemedicine has emerged as a vital tool in modern healthcare, offering patients the ability to consult with medical professionals remotely. This technology has proven invaluable, especially during the COVID-19 pandemic, when in-person visits became limited. In the context of medical malpractice, telemedicine provides both benefits and challenges. It allows for more timely interventions, providing patients with the ability to access medical advice without leaving their homes, which is particularly useful in rural or underserved areas.
However, telemedicine also introduces a new layer of complexity to malpractice cases. As virtual consultations become more prevalent, healthcare providers must ensure they maintain a high standard of care, even when not physically present with the patient. This can be challenging, but advancements in telemedicine platforms are addressing these concerns by incorporating AI, machine learning, and real-time data sharing to enhance the accuracy of virtual diagnoses and treatment plans.
Additionally, telemedicine allows for continuous monitoring of patients, especially those with chronic conditions. Virtual follow-ups can help doctors track a patient’s progress without the need for frequent in-person visits, which can be burdensome for patients and costly for the healthcare system. This ongoing connection ensures that healthcare providers remain informed about their patients’ well-being and can intervene early if complications arise, thus reducing the risk of malpractice due to missed issues.
Wearable Technology and Patient Monitoring
Wearable technology has become an essential part of modern healthcare, offering patients the ability to continuously monitor their health outside of clinical settings. Devices such as smartwatches, fitness trackers, and heart rate monitors allow patients to track their vital signs, activity levels, and sleep patterns, providing healthcare providers with valuable real-time data. This data can be critical in identifying early signs of health issues that could lead to malpractice claims if undiagnosed or ignored.
For example, wearable technology can help detect abnormal heart rhythms, elevated blood pressure, or irregular glucose levels, allowing healthcare providers to intervene before conditions worsen. This proactive approach to healthcare reduces the likelihood of errors and helps to prevent potential malpractice. Additionally, wearable devices provide an ongoing record of a patient’s health, which can be invaluable in building a case for victims of malpractice, offering clear evidence of the patient’s condition before, during, and after an incident.
The continuous flow of data from wearables also enables healthcare professionals to make more informed decisions about patient care. For instance, if a patient experiences an adverse reaction to a medication, wearable data can provide immediate insights, allowing doctors to adjust treatment protocols in real-time. This capability helps reduce the chances of mistakes that could lead to malpractice claims by ensuring that healthcare providers have up-to-date information at their fingertips.
Conclusion: The Future of Technology and Medical Malpractice Prevention
The intersection of technology and healthcare is creating a future where medical malpractice is increasingly preventable. As AI, machine learning, wearable devices, and telemedicine continue to advance, the healthcare system is becoming more accurate, efficient, and transparent. These innovations are not only improving the way care is delivered but also helping to hold healthcare providers accountable for their actions, reducing the likelihood of malpractice incidents.
Looking forward, further advancements in technology will continue to reshape the healthcare landscape, providing better tools for diagnosis, treatment, and monitoring. As these technologies evolve, it is essential for healthcare professionals to embrace them fully, ensuring that their practices are up-to-date with the latest advancements. By doing so, they can reduce the risk of malpractice while improving patient outcomes and safety.
The future holds immense potential for integrating even more sophisticated technologies, such as virtual reality for surgical training or blockchain for secure medical record keeping. These innovations will continue to evolve the healthcare landscape, reducing errors and improving patient care. By staying ahead of the curve, healthcare providers can ensure a safer and more efficient healthcare system for all.
In today’s rapidly evolving digital landscape, technology plays a crucial role in various aspects of life, including personal injury claims and recovery. Traditionally, dealing with personal injuries—whether from accidents, workplace incidents, or other causes—meant navigating complex paperwork, long phone calls with insurance companies, and the physical toll of recovery. However, technology has introduced a variety of tools and innovations that can streamline these processes, making it easier for individuals to manage their claims and healing journey. From medical apps to legal tech, tech solutions are transforming how people approach injury recovery and legal resolution.
For both those affected by personal injuries and the professionals involved, technology offers unique opportunities to simplify the often overwhelming tasks of recovery and legal proceedings. By leveraging modern tools, individuals can not only track their physical progress but also ensure they receive the compensation they deserve. In this blog, we will explore how technology is reshaping the way personal injury claims are processed and how those recovering from injuries can use tech to enhance their rehabilitation and overall quality of life.
Digital Tools for Tracking Injury Recovery
According to victoryinjurylaw.com, personal injury can result from a wide range of incidents—car accidents, workplace hazards, slips and falls, or even defective products. What all these cases share is the need for consistent medical attention and detailed documentation during recovery. Physical limitations, emotional stress, and mounting expenses can make the aftermath feel overwhelming. In such situations, leveraging technology becomes not just convenient but essential. By using modern tools, injured individuals can better organize their medical records, track symptoms, and ensure nothing falls through the cracks during the healing process or legal proceedings.
One of the major challenges after an injury is monitoring the recovery process. Technology has stepped in to provide numerous apps and wearable devices that help individuals track their physical health. From fitness trackers like Fitbit and Apple Watch, which monitor activity levels and heart rate, to more specialized medical devices, these tools enable patients and healthcare providers to have real-time insights into the progress of physical rehabilitation. These digital platforms can record everything from pain levels to mobility improvements, giving both patients and doctors valuable data that can help tailor the recovery process.
Moreover, telemedicine has emerged as an invaluable resource in the realm of injury recovery. Many healthcare professionals now offer virtual consultations, allowing patients to receive medical advice and updates without having to leave home. This convenience is especially beneficial for those with mobility issues or those who are recovering from serious injuries that make traveling difficult. Digital health records, which are increasingly being used by hospitals and clinics, can also simplify the process of managing treatment plans, prescriptions, and doctor notes, making the entire recovery process more streamlined and organized.
Streamlining Personal Injury Claims with Legal Tech
Handling a personal injury claim used to require a lot of manual paperwork, long wait times, and numerous follow-up calls. Now, technology has created several platforms that allow individuals to submit claims and track their status online. Legal technology, such as case management software and digital claims portals, has streamlined the entire claims process. These platforms enable people to submit documents, track deadlines, and communicate with legal professionals directly, all from the comfort of their homes.
Beyond just simplifying paperwork, these legal tech tools also improve the accuracy of claims. Artificial intelligence (AI) is now being employed to review and process claims more quickly, reducing human error and ensuring that clients don’t miss out on any important details. Some services even use AI to calculate potential compensation amounts based on the specifics of a case, allowing individuals to better understand what they might expect before engaging with a lawyer. This technological shift is making personal injury claims more accessible and efficient, ensuring that victims get the support they need with fewer barriers.
The Role of Virtual Reality in Physical Rehabilitation
Virtual reality (VR) has taken rehabilitation to the next level, offering an immersive and engaging way for people to recover from injuries. Instead of traditional physical therapy exercises that may feel monotonous, VR-based rehabilitation programs combine physical movements with virtual simulations, making the process more enjoyable and motivating. For example, patients recovering from joint injuries or neurological conditions can use VR games that encourage movement, thereby improving their range of motion and strength while making rehabilitation feel less like a chore.
Furthermore, VR therapy allows for personalized programs tailored to the individual’s specific needs. Some platforms even use real-time feedback to adjust difficulty levels, ensuring that the rehabilitation exercises are neither too easy nor too difficult. The interactive nature of VR also provides patients with immediate feedback, which can enhance their progress. This technology is proving particularly useful for long-term recovery, offering patients a more dynamic and supportive recovery experience.
Data Analytics: Improving Outcomes and Reducing Costs
With the rise of big data and data analytics, personal injury cases are benefiting from enhanced decision-making and better outcomes. Insurance companies and law firms are now using advanced data analysis to predict the likely outcome of cases, assess injury severity, and evaluate compensation claims more accurately. By leveraging data from past cases and medical records, professionals can make informed decisions faster and more efficiently, which can reduce the time and cost associated with litigation and claims processing.
On a personal level, data analytics can also empower individuals by helping them track their recovery milestones and treatment effectiveness. Healthcare providers and insurers are increasingly using these tools to identify trends and patterns that help predict which treatment options may lead to the best results for specific injuries. This enables people to make better decisions regarding their recovery and care, while also ensuring that they are being compensated fairly for their medical expenses and time lost from work. The integration of data analytics into both medical recovery and legal processes is revolutionizing the efficiency and effectiveness of personal injury management.
Conclusion: Embracing Technology for a Smoother Recovery Process
The fusion of technology with personal injury claims and recovery is changing the landscape for both individuals and professionals. From wearable devices that track physical progress to AI-driven legal tech platforms, the benefits of technology in personal injury management are undeniable. These innovations make it easier to access the resources and support needed for a successful recovery, while also ensuring that claims are handled efficiently and accurately.
As technology continues to evolve, we can expect even more advancements that will further simplify and improve the injury recovery process. Whether it’s through enhanced rehabilitation methods, data-driven claims processing, or virtual consultations, the future of personal injury management is increasingly digital. By embracing these tools, individuals can take more control of their recovery, while businesses and legal professionals can offer better services, ultimately leading to faster and more effective resolutions.
