The partnership that will prevent vape sales to minors
Johnston Retail Services has partnered with Privately SA to bring the AgeAI app to Ireland, helping to prevent vape sales to minors and avoid the risk of costly fines 20 November 2024 – Stores across Ireland can now benefit from a pioneering AI solution that can estimate someone’s age with almost 100% accuracy, thanks to a new partnership between Dublin’s Johnston Retail Services and SafetyTech company Privately SA. Privately’s AgeAI app provides automated and highly accurate facial age estimation, removing the guesswork from age checks and mitigating the risk of fines for selling vapes to children. It is 100% anonymous, with no images transmitted or stored, GDPR certified, and helps protect staff by reducing the need for unnecessary ID checks for adults who are a source of major conflict. A 2023 study revealed that more than one-third of young people aged 13 to 16 in Ireland currently vape, and almost one-quarter of 10 to 12-year-olds said they had tried vaping. “Underage vaping is a problem in Ireland, and there’s a pressing requirement to prevent sales to minors,” said Deepak Tewari, CEO, of Privately SA. “But store owners and managers need help, and our partnership with Johnston Retail Services delivers that, with an automated, accurate and speedy solution that allows staff to avoid the confrontation that comes from requests for ID and turning people away.” Johnston Retail Services works with most nationwide Irish retailers, including Applegreen, Centra, SuperValu, An Post, and Dunnes Stores. It helps retailers transform by providing innovative solutions that grow revenue, enhance customer experiences, and fortify the foundations of retail success. The deal with Privately SA will see Johnston Retail Services bring AgeAI to stores in Ireland. It requires minimal setup, and it’s no burden to customers. People look at a screen that instantly notifies whether they appear above a certain age. If there’s a positive indication, checkout continues. If it is not, an ID request can be made. AgeAI is already in use with hundreds of independent vape stores in the UK due to Privately SA’s partnership with the retail trade association Our Vape Advocacy. Bringing AgeAI to Ireland is a breakthrough in helping to combat underage vape sales, and an essential use of innovative technology, according to Brian Hurley, Commercial Director at Johnston Retail Services: “Ensuring your operation has a technology focus is now more important than ever. Those who adopt and embrace the technological solutions available tend to reap more success with much less effort than one may think.” “Enforcement of age-restricted selling is no doubt going to become more and more prevalent. AgeAI is extremely simple, affordable and an indispensable tool that we are excited to be able to offer our customers to help with this legal selling requirement.” Privately is a SafetyTech startup whose child safety apps have protected more than 100,000 children in the UK and worldwide. During the past year, Privately has carried out almost one million age check transactions in retail environments. Get in touch For event sponsorship enquiries, please get in touch at olliver.toke@31media.co.uk or calum.budge@31media.co.uk For media enquiries, please get in touch with vaishnavi.nashte@31media.co.uk
Winners Announced for the North American Software Testing Awards 2024
Toronto, Canada – The winners of the North American Software Testing Awards 2024 have been officially announced, marking an inspiring evening dedicated to recognising excellence in the software testing and quality engineering industry. Organised by 31 Media, the awards ceremony took place on November 27, 2024, in Toronto, Canada, and gathered industry leaders and professionals to celebrate the outstanding achievements of companies, teams, and individuals across North America. The program, encompassing 16 categories, provided a platform for businesses of all sizes and sectors to showcase their innovation, technical skills, and commitment to quality. Participants embarked on a journey that culminated in an unforgettable awards evening, where achievements were recognised, and connections within the software testing community were strengthened. We extend our sincere gratitude to our 2024 sponsors – QA Mentor, IBM, Infoya, and Perforce – whose support was integral to the success of this event. Their contributions and shared commitment to advancing quality in software testing made this celebration of excellence possible. Additionally, we would like to thank our dedicated panel of judges for their commitment, expertise, and integrity in evaluating entries, ensuring a fair and robust selection process. Their role was pivotal in celebrating this year’s exceptional talent. Access the full list of 2024 winners here: NASTA 2024 winners Participate in the Asia Pacific Software Testing Awards 2025 With the European awards concluded, we now look forward to the upcoming Asia Pacific Software Testing Awards. This independent program celebrates remarkable achievements across the Asia Pacific region and the UAE, featuring 15 categories to recognise the best in digital technology and software testing. Judged with impartiality and transparency, the Asia Pacific Awards provide an equitable platform that celebrates true excellence. Finalists and winners alike gain increased visibility and access to invaluable networking opportunities within the global testing community. Showcase your expertise and enhance your brand’s visibility, we encourage you to participate in the Asia Pacific Software Testing Awards. Entries are open now – submit yours to join a legacy of excellence and success! Enter here About 31 Media 31 Media is a prominent tech industry event organiser. We strive to continuously push the boundaries and explore innovative ways to improve our offerings including our renowned award ceremonies, conferences, and workshops. These market-leading platforms serve the software testing, DevOps, and digital transformation communities and provide professionals with unparalleled opportunities to enhance their skills, exchange insights, and stay at the forefront of industry advancements. Get in touch For event sponsorship enquiries, please get in touch with oliver.toke@31media.co.uk For media enquiries, please get in touch with vaishnavi.nashte@31media.co.uk
Adapting Security Strategies for the Gen AI Era
Generative AI is Evolving—Is Your Security Strategy Keeping Pace? Generative AI has quickly become a pivotal element in digital transformation across industries, driving automation, enhancing customer interactions, and accelerating software development. But with these advancements come new and complex security challenges. Companies are rushing to adopt generative AI to stay competitive, yet many haven’t adapted their cybersecurity practices to handle the emerging threats. When companies designed their cybersecurity policies and controls, few, if any, had generative AI on their bingo card. As a result, we’re seeing organisations unprepared for the unique vulnerabilities this technology introduces. The intersection of generative AI and cybersecurity There’s a critical intersection between AI and cybersecurity that we can’t ignore. On the positive side, generative AI offers significant opportunities to strengthen defences. For instance, it can automate threat detection, streamline code scanning, and quickly pinpoint vulnerabilities. AI tools are helping blue teams—the defensive security teams—by recognising patterns and detecting anomalies far faster than we could with traditional methods. This ultimately helps organisations respond more quickly to incidents and limit damage from potential breaches. However, there’s a flip side. Just as we are using AI to enhance security, threat actors are leveraging it to improve their attacks. For example, we’ve seen how traditional cyberattacks like phishing are becoming more sophisticated, thanks to generative AI. Attackers can now automate the creation of highly convincing fake emails and messages, which makes it easier to trick users into revealing sensitive information. Or more sophisticated attacks such as malware that used to require a detailed understanding of low-level software layers and years of study can now be generated from a prompt. What’s even more concerning is the potential for AI to create entirely new types of attacks, like prompt injection, which we have little experience handling. We’re essentially chasing a moving target that’s evolving at an almost unprecedented rate in the industry. Our cybersecurity strategies need to keep pace, but we’re lagging behind. Emerging threats in AI cybersecurity Some of the most dangerous AI-driven threats we’re seeing today are prompt injection and data poisoning. Prompt injection is particularly tricky because generative AI models process such a wide variety of inputs—anything from human language to code—which makes it harder to spot harmful instructions. A simple prompt can be manipulated to extract sensitive data, bypass security measures, or execute malicious commands without the user even realising it. Data poisoning is another serious issue. Attackers can feed corrupt data into AI models, altering their outputs in subtle but harmful ways. I’ve referenced the example from Microsoft’s AI, where bad actors introduced toxic inputs that caused the model to exhibit harmful behaviours. This clearly illustrates how easy it is for attackers to “poison the well” and manipulate AI systems to produce unintended, damaging outcomes. Data poisoning can also be difficult to detect, as images and videos can be subtly altered in ways that the human eye can’t detect. Red teams—offensive security teams—are already using generative AI to create more advanced attack simulations, while blue teams are struggling to keep up. This growing disparity between offensive and defensive AI applications is a big concern for me. If we don’t act fast, the gap will only widen, leaving many organisations vulnerable to AI-driven cyberattacks. Confidentiality and privacy concerns also persist. Even if there is no malicious intent to poison models, sensitive data—such as trade secrets, internal communications, or personally identifiable information (PII)—can still find its way into models. For example, companies may use AI to search and summarise documents from their internal SharePoint, not realising that offer letters with salary information are included. This data can unexpectedly appear in responses from an LLM. How can companies securely implement and manage generative AI while mitigating the unique cybersecurity risks it introduces? Strengthen your data governance. Data is the backbone of any AI model, so you need to know exactly where it’s coming from and ensure it’s clean, reliable, and secure before using it. If you’re unsure about your data’s integrity, provenance, or how it’s been handled, you’re opening the door to major risks. Start by auditing your data sources and setting up a governance framework to track data lineage. Build in regular data quality checks, and make sure you’re reviewing permissions—who has access to it and why? As I often say, “If you don’t understand your data’s integrity and origins, you’ll run into problems.” Begin by mapping your data flow: identify the sources, review how it’s collected, and validate its accuracy before feeding it into any AI models. Note that this doesn’t imply a long, slow manual effort. Quite the contrary. As mentioned above, many data issues are unrecognisable to the human eye. Large volumes of documents can’t be scanned manually, and even if they could, it’s hard for humans to detect subtle biases or data anomalies. Automation and machine learning are key to modern data governance. Train your team to recognise AI-specific threats. Cyberattacks are evolving, and AI is making phishing and social engineering attacks more convincing. It’s no longer enough to give employees a general cybersecurity overview—they need targeted training that includes AI-generated threats. Make sure your staff knows what AI-powered phishing attempts look like and how to respond. Offer hands-on training with real-world examples of AI-driven cyber-attacks and update these regularly as new threats emerge. It’s about getting your team to think critically and recognise patterns that might go unnoticed. Develop specific training sessions on AI-related cybersecurity threats, such as AI-generated phishing and prompt injection attacks. Incorporate simulated attacks as part of your phishing tests. Set clear guardrails for AI use. Without proper boundaries, generative AI can expose sensitive company data or even introduce security risks. You need to establish clear rules for how your teams are allowed to use AI. Draft an AI usage policy that defines where generative AI can be applied in your company. Be specific about data it can access, who can use it, and implement approval processes for higher-risk areas. At Credera, we’ve put strict policies in place to
Enhancing organisational sustainability with carbon management dashboards
With net zero and carbon reduction increasingly becoming a focal point for organisations, support through energy efficiency and sustainable transformation projects are crucial to the success of a carbon reduction plan. With net zero and carbon reduction increasingly becoming a focal point for organisations, support through energy efficiency and sustainable transformation projects are crucial to the success of a carbon reduction plan. However, driving down energy consumption and rolling out energy projects is the responsibility of more than one department in an organisation. Many people – from engineers to investors and from management to staff – need to be brought together to make success happen. One powerful energy and carbon management software tool that offers to unite an organisation in supporting its sustainability goals is the energy dashboard. By providing near real-time data and insights into energy consumption, monitoring and targeting (M&T), and carbon management, energy dashboards can significantly enhance organisational engagement in nine significant ways. Transparency and Accountability Energy dashboards offer a transparent view of an organisation’s energy usage. Giving employees at all levels visibility of the impact their actions have on energy consumption and carbon reduction fosters a culture of accountability. When everyone in the organisation has access to energy and carbon management data and M&T information, it encourages more responsible behaviour and a collective effort to reduce energy waste and contribute to carbon reduction efforts. Data-Driven Decision Making With detailed and near real-time data at their fingertips, decision-makers can make more informed choices about energy and carbon management. Energy dashboards provide insights into patterns and trends, helping organisations identify areas where energy is being wasted and where improvements can be made. This data-driven approach ensures that energy-saving initiatives are based on solid evidence rather than guesswork. Employee Engagement Energy management software dashboards can be a powerful tool for engaging employees in sustainability initiatives. When employees are actively involved and committed to energy-saving initiatives, they are more likely to adopt and promote sustainable practices. A collective effort not only helps an organisation achieve its sustainability goals but also improves operational efficiency and reduces costs, contributing to its long-term success Cost Savings One of the most tangible benefits of using energy dashboards is the potential for cost savings. By identifying inefficiencies and areas of high energy consumption, organisations can implement targeted measures to reduce their energy bills. These savings can then be reinvested into other areas of the business, further enhancing overall organisational performance. Regulatory Compliance Many organisations are subject to strict regulations regarding energy usage and environmental impact. Energy dashboards can help organisations stay compliant by providing the necessary M&T and carbon data to meet reporting requirements. This not only helps avoid potential fines and penalties but also demonstrates a commitment to sustainability to stakeholders and customers. Enhanced Communication Energy dashboards can serve as a central communication tool for sustainability efforts. By sharing energy usage data and progress towards energy-saving goals, organisations can keep employees informed and engaged. Regular updates and visualisations of energy data can be included in company newsletters, meetings, and intranet sites, ensuring that everyone is aware of the organisation’s sustainability initiatives. Benchmarking and Goal Setting Energy dashboards allow organisations to benchmark their energy performance against industry standards or internal targets. This benchmarking process helps set realistic and achievable energy-saving goals. By tracking progress towards these goals, organisations can celebrate successes and identify areas for further improvement. Customer and Stakeholder Engagement In an era where consumers and stakeholders are increasingly concerned about sustainability, energy and carbon management software dashboards can be valuable in demonstrating an organisation’s commitment to environmental responsibility. Sharing energy performance data with customers and stakeholders can enhance the organisation’s reputation and build trust. Supplier Management Energy dashboards also play a pivotal role in enhancing supplier management and bill accuracy. By providing detailed and near real-time data on energy consumption, these dashboards enable organisations to hold suppliers accountable for their energy use and ensure that billing is precise. Discrepancies in energy usage and billing can quickly be identified and addressed, reducing the risk of overcharges and improving financial accuracy. Energy dashboards are more than just a tool for monitoring energy consumption; they are a catalyst for organisational engagement and cultural change. By providing transparency, enabling data-driven decision-making, and fostering a sense of shared responsibility, energy dashboards can help organisations achieve their sustainability goals while also enhancing overall performance. Embracing this technology with an energy and carbon management software solution is a step towards a more sustainable and engaged future. Get in touch For event sponsorship enquiries, please get in touch with calum.budge@31media.co.uk For media enquiries, please get in touch with vaishnavi.nashte@31media.co.uk
Winners Announced for The European Software Testing Awards 2024
London, November 20, 2024 – The winners of the European Software Testing Awards 2024 have been officially announced, marking a remarkable evening of celebration for exceptional achievements in the software testing and quality engineering industry. Organised by 31 Media, a leader in industry events for over 17 years, this prestigious awards ceremony took place on November 19, 2024, in London, where companies, teams, and individuals came together to honour excellence and innovation. The awards program, featuring 16 diverse categories, provided opportunities for companies of every size and sector to showcase their accomplishments. Attendees enjoyed an evening of networking and recognition, celebrating both technical expertise and creative contributions to the field. Our heartfelt thanks go out to our esteemed sponsors – QA Mentor, Qualitest, Sogeti by Capgemini, NTT Data, Perforce, and Capgemini – whose generous support made the event possible. Their commitment to advancing quality and excellence in software testing was instrumental to the event’s success. We also extend a sincere thank you to our panel of judges for their invaluable contributions in evaluating entries. Their dedication, expertise, and fair judgment helped ensure a robust and transparent selection process, making this year’s awards a true celebration of outstanding work within the industry. Access the full list of 2024 winners here: TESTA 2024 winners Participate in the Asia Pacific Software Testing Awards 2025 With the European awards concluded, we now look forward to the upcoming Asia Pacific Software Testing Awards. This independent program celebrates remarkable achievements across the Asia Pacific region and the UAE, featuring 15 categories to recognise the best in digital technology and software testing. Judged with impartiality and transparency, the Asia Pacific Awards provide an equitable platform that celebrates true excellence. Finalists and winners alike gain increased visibility and access to invaluable networking opportunities within the global testing community. Showcase your expertise and enhance your brand’s visibility, we encourage you to participate in the Asia Pacific Software Testing Awards. Entries are open now – submit yours to join a legacy of excellence and success! Enter here About 31 Media 31 Media is a prominent tech industry event organiser. We strive to continuously push the boundaries and explore innovative ways to improve our offerings including our renowned award ceremonies, conferences, and workshops. These market-leading platforms serve the software testing, DevOps, and digital transformation communities and provide professionals with unparalleled opportunities to enhance their skills, exchange insights, and stay at the forefront of industry advancements. Get in touch For sponsorship enquiries, please get in touch with oliver.toke@31media.co.uk
Bitcoin will reach $100k before Trump takes office
As Donald Trump heads back to the White House, a University of Sussex professor who has been successfully predicting bitcoin (BTC) prices since 2021, is forecasting unprecedented highs which may breach $100k per token. Prof Carol Alexander of the University of Sussex Business School says bitcoin’s rapid rise in the immediate wake of the US election is likely to continue before Trump’s inauguration on 20th January 2025. She also believes the lesser-known currencies ether (ETH) and dogecoin (DOGE) will keep moving in the same direction, especially with the latter’s links to key Trump ally Elon Musk. Prof Alexander, who does not hold bitcoin herself, told CNBC back in January that if Trump won, the price could reach $100k by the end of this year, but only if Blackrock and Fidelity ETF Market Makers managed to reduce volatility. Today, she has confirmed that bullish forecast, while issuing a stark warning as we enter a new age of deregulation. Prof Carol Alexander said: “This bull run will increase adoption by retail especially, but also institutions. Unfortunately, this growth will be on the back of failing regulations. Huge hidden risks will be swept under the carpet as the US Securities Exchange Commission ceases to take out civil actions against unregulated exchanges.” Back in 2022, Prof Alexander predicted that bitcoin would fall from $50k to $10k and while it didn’t get quite that low, there were major falls to $14k. For 2023 she said the price would rally to $50k and it reached $44,700 by December. In January this year, she predicted the rise to an all-time high of $70k over the summer, potentially followed by an end-of-year rally to $100k. More than $400bn has flowed into crypto since the election. This may be in anticipation of a low-regulation environment which will benefit high-frequency traders that drive prices up and down in a way that disadvantages everyday investors. Through her work as head of the University of Sussex’s Quantitative FinTech group Prof Alexander’s research focuses on bitcoin price formation, under the general theme of centralized and decentralized crypto market microstructure. She is also a vocal advocate of greater regulation in the industry to protect investors. She adds: “Trump plans to establish a national bitcoin reserve, to support fossil-fuelled domestic bitcoin mining, and to remove the SEC Chair Gary Gensler to stop the ‘regulation via litigation’ approach being led by US market authorities.’’ “Elon Musk’s posts on X can also induce unwitting investors to herd into crypto, only to see prices fall again almost immediately. For instance, his famous ‘Doge Barking at the Moon’ in April 2021 sent the DOGE token price from 5 cents to 60 cents in a few days; but it quickly fell back to about 20 cents, where it still is today.’’ Get in touch For event sponsorship enquiries, please get in touch with calum.budge@31media.co.uk For media enquiries, please get in touch with vaishnavi.nashte@31media.co.uk
2025 Ireland Salary Guide reveals latest emerging employment trends
Generative AI adoption accelerates – nearly 70% of businesses encourage their staff to use AI for routine tasks and enhanced productivity. High demand for skilled professionals – 27% of businesses plan to expand permanent roles, with another 68% maintaining headcount across professional services in 2025. Rising salary expectations across generations – 68% of Gen Z professionals are becoming more insistent on higher pay, compared to just 22% of Gen X and 10% of Baby Boomers. Robert Half, the world’s first and largest specialised talent solutions and business consulting firm, has published its inaugural 2025 Ireland Salary Guide, offering essential insights into hiring and remuneration trends. The study analyses labour market dynamics, benefits and incentives, as well as starting salaries for a wide array of roles in diverse professional sectors throughout Ireland. According to the research, 95% of Irish businesses expect to be making permanent hires in 2025 and 85% are planning to do so on a contract basis. In terms of remuneration, skills shortages across professional services are prompting organisations to adopt competitive salaries and flexible benefits, on top of innovative recruitment tactics. And generational divides in salary expectations are also expected to be shaping the Irish hiring landscape in 2025, with Gen Z most demanding when it comes to pay increase expectations. Finance and Accounting Generative AI adoption is on the rise, with a majority of companies integrating this new technology into daily processes. As a result, demand for finance and accounting talent with specialist skills is anticipated to be strong in 2025, with active recruitment for permanent, contract, and project roles. Hiring outlook: 31% of companies plan to expand permanent roles, with 61% maintaining their current workforce and backfilling any vacancies. Salary motivations: 33% of companies raise pay to stay competitive, while 22% focus on merit-based increases for exceptional performance. AI and productivity: 64% of organisations promote AI usage for routine tasks, and 37% are implementing in-house AI training initiatives. IT and Technology Ireland’s internationally-focused IT sector looks set to continue growth, reflecting its status as the EU tech hub. Tech companies are focusing on competitive pay, frequent salary reviews, and extensive upskilling to attract and retain top Irish talent. Hiring outlook: 28% of firms are expanding permanent roles, with 70% maintaining current levels. Pay and retention strategies: 25% of companies raise salaries for high performance, and 24% adjust pay to remain competitive. AI adoption and skills: 74% encourage AI integration to streamline tasks, with 46% offering internal AI training programmes to support upskilling. Administrative and Business Support The outlook for administrative and business support roles is positive, with all surveyed organisations planning to hire for these positions in 2025. Focus areas include AI-enabled productivity and continuous skill development. Hiring outlook: 21% of organisations plan to expand permanent roles, with 71% maintaining headcount. Salary adjustments: 36% of employers increase pay for exceptional performance, and 24% adjust salaries to remain competitive. AI and upskilling: 69% promote AI adoption for improved efficiency, with 40% investing in internal training programmes and 48% encouraging self-learning. As Luke Edmunds, Branch Director, Ireland, at Robert Half, explained, skills shortages remain a key concern across sectors, with businesses pulling out all the stops to attract and retain the best talent: “As Ireland’s economy evolves to the demands of the global headwinds in 2025, businesses are also striving to navigate increasing skills demands and shifting employee expectations. It is worth noting how organisations are preparing to respond with competitive pay, targeted training, and investment in digitisation and AI. In addition to compensation, we’re seeing a growing commitment to flexible, inclusive workplaces that address the priorities of younger generations. Companies are recognising the value placed on work-life balance and organisational culture by Gen Z, resulting in innovative engagement and retention strategies, such as building a robust and inclusive company culture through employee network groups and stronger employee value propositions. Only by fostering supportive, adaptable workplaces, can Irish businesses establish resilient teams prepared for long-term success in a competitive landscape. “Heading into 2025 AI will revolutionise the future of work in Ireland and the new skills in demand, with wage inflation and rising employee expectations further driving competitive offers across sectors.” Get in touch For event sponsorship enquiries, please get in touch with calum.budge@31media.co.uk For media enquiries, please get in touch with vaishnavi.nashte@31media.co.uk
Tricentis launches qTest Copilot to empower QA Organisations to Ship Quality Software Faster
Tricentis, a global leader in continuous testing and quality engineering, today announced the expansion of its test management and analytics platform, TricentisqTest, with the launch of Tricentis qTest Copilot. The latest addition to its suite of generative AI-powered Tricentis Copilot solutions, qTest Copilot harnesses the power of generative AI to simplify and accelerate test case generation, allowing for greater test coverage and higher-quality software releases. qTest Copilot is a generative AI assistant that automatically drafts test cases and test steps based on source documents and user requirements, offering considerable time-saving benefits when compared to manual approaches. Embedded into the newest version of the qTest platform, qTest Copilot combines Tricentis’ scalable and unified test management technology, with new AI-augmented features to allow QA and developer teams to greatly accelerate software delivery. Users can quickly create test coverage of any application, as well as explore unidentified quality gaps by broadening the test scope to include tests for additional scenarios and unexpected events. With a single click, both test steps and expected results are generated in seconds, enabling users to deliver higher-quality releases more confidently and with fewer escaping defects. The addition of generative AI features into qTest also enables more common and consistent test case descriptions, which both new and existing teams can use to create standards for how test cases are written across their entire test coverage. Other features include: Select and easily control which projects and users are enabled for qTest Copilot. Approve drafted test cases after modifying, deleting, or creating new steps as needed. Prompt qTest Copilot to summarize for more concise outputs or to elaborate with more details. Regenerate test steps or the entire test case without losing the overall test scope. Further features will also follow in 2025, including increased functionality for test case discovery, whereby users can map requirements to existing test cases, as well as test case and requirement review, which aims to analyze and improve the quality of existing assets in the qTest environment. “Developer and QA teams today are looking to drive meaningful and measurable improvements to the test coverage of their applications, all while driving significant productivity gains,” comments Mav Turner, Chief Product and Strategy Officer, Tricentis. “Feedback from our beta program suggests that qTest Copilot is enabling users to create complex test cases far more quickly than ever before, while also identifying gaps in test coverage that might have otherwise been overlooked. By automating these critical testing steps, teams can focus their efforts on higher-value activities, ultimately accelerating delivery timelines and improving overall software quality.” Recent Tricentis research found that DevOps practitioners ranked testing as the most valuable (60%) area of AI investment across the software delivery lifecycle, and almost one-third (32%) of respondents estimate AI-augmented DevOps tools will save teams over 40 hours per month—equivalent to an entire workweek. The addition of qTest Copilot to the Tricentis suite of generative AI-powered test automation assistants follows the launch of Tricentis Testim Copilot in April and Tricentis Tosca Copilot in June. Tricentis Copilot solutions utilize generative AI to help enterprises streamline the testing process for faster cycles, more efficient testing, and better business outcomes. qTest Copilot will be included with all new purchases of the latest version of qTest. Existing qTest customers can also begin leveraging the enhanced benefits of qTest Copilot by purchasing an upgrade from their previous version of qTest to the new Tricentis qTest Enterprise AI version. Learn more about how qTest Copilot, Tosca Copilot and Testim Copilot can help QA and development teams move faster and achieve better quality at https://www.tricentis.com/products/copilot Additional Resources: Webinar: Introducing qTest Copilot Blog: Introducing qTest Copilot Press release: Announcing Tricentis Copilot: Accelerating Application Testing Speed and Quality with Generative AI Report: Tricentis AI-Augmented DevOps Report 2024 Blog: Introducing Tricentis Copilot Website: Tricentis Copilot Website: AI-powered quality solutions Webinar: Our vision for the future of AI-driven testing About Tricentis Tricentis is a global leader in continuous testing and quality engineering. The Tricentis AI-based, continuous testing portfolio of products provide a new and fundamentally different way to perform software testing. An approach that’s automated, fully codeless, and intelligently driven by AI. It addresses both agile development and complex enterprise apps, enabling enterprises to accelerate their digital transformation by dramatically increasing software release speed, reducing costs, and improving software quality. Widely credited for reinventing software testing for DevOps, cloud, and enterprise applications, Tricentis has been recognized as a leader by all major industry analysts, including Forrester, Gartner, and IDC. Tricentis has more than 3,000 customers, including the largest brands in the world, such as McKesson, Allianz, Telstra, Dolby, and Vodafone. To learn more, visit https://www.tricentis.com. Get in touch For event sponsorship enquiries, please get in touch with calum.budge@31media.co.uk For media enquiries, please get in touch with vaishnavi.nashte@31media.co.uk
AI decreases human-generated content, limiting data for training AI
The use of ChatGPT has led to a decrease in human-generated content with people asking and answering fewer questions online, according to new research from Corvinus University of Budapest. Content and discussions online are used by people to learn new things and solve problems, and essential for training AI, particularly Large Language Models (LLMs) like ChatGPT. Johannes Wachs, Associate Professor at Corvinus University, and colleagues from UCL and LMU Munich investigated the impact of ChatGPT on the generation of open data on Stack Overflow, an online Q&A platform for computer programmers and an essential source of training data for LLMs. The researchers found that, after the introduction of ChatGPT, there was a sharp decrease in human content creation: ChatGPT users are less likely to post questions and answers on the platform or visit the platform regularly. As people use ChatGPT more instead of online knowledge databases or platforms which allow discussion, displacing the human behaviour which generates the data it is trained on, the quality and quantity of data available for training future AI decreases. “The decreased production of open data will limit the training of future models. LLM-generated content itself is likely an ineffective substitute for training data generated by humans to train new models. Training an LLM on LLM-generated content is like making a photocopy of a photocopy, providing successively less satisfying results,” says Professor Wachs. The researchers explain that we should prioritise encouraging people to exchange information and knowledge online with each other, and not only rely on AI and LLMs. These findings were first published in the journal PNAS Nexus. Get in touch For event sponsorship enquiries, please get in touch with calum.budge@31media.co.uk For media enquiries, please get in touch with vaishnavi.nashte@31media.co.uk
How open-source is shaping the future of innovation
Open-source technology has significantly shaped how industries approach complex technical challenges and foster innovation. It has expanded beyond software to impact hardware and systems design, opening up new pathways for researchers, engineers, and tech enthusiasts to develop advanced solutions. This collective approach fuels innovation and contributes to sustainable development by creating accessible, adaptable tools that solve real-world problems at scale. Democratising open-source technology and science Open-source technology fundamentally changes how we access and utilise high-tech tools. Traditionally, advanced instruments like oscilloscopes, signal generators, and spectrum analysers were accessible primarily to well-funded research labs. With open-source tools such as Red Pitaya’s “pocket lab,” engineers and students can now access powerful measurement and testing capabilities in a compact, cost-effective format. This allows universities, startups, and even independent researchers and enthusiasts to innovate without being restricted by cost or proprietary limitations. Moreover, open-source solutions offer essential benefits such as customisation and adaptability, empowering users to modify or extend tools to meet specific needs. In education, students gain hands-on experience, and in the professional world, industries from aerospace to telecommunications use these tools for testing and development. In practical terms, this accessibility fosters a continuous feedback loop where users refine, improve, and adapt tools in real time. Accelerating innovation through collaboration The open-source model thrives on community collaboration. Rather than isolated development, open source operates on a principle of collective intelligence, where thousands of developers and engineers contribute, review, and enhance each other’s work. This ecosystem allows for faster progress, improved quality, and a richer feature set than proprietary models might achieve. Peer review and open access enable users to build on existing solutions, cutting down on time-to-market and reducing resource expenditure on redundant development. Mateja Lampe Rupnik mentioned one example involving a radiation detection device sent to the International Space Station to stream real-time data back to Earth. Developed by physics students and their professors, this project demonstrates the potential of open source to support ambitious projects in a collaborative, resource-efficient manner. By eliminating entry barriers and encouraging collective problem-solving, open source enables advancements in high-tech fields that might otherwise be constrained. Sustainable solutions for a changing world Sustainability is an increasingly urgent issue, and open-source technology plays a valuable role in addressing it. Traditional corporate-led solutions are often restricted by bureaucracy and profit motives. By contrast, open source allows smaller, agile teams to develop groundbreaking solutions to environmental challenges. Startups have leveraged open-source tools to create technologies for environmental monitoring, air quality analysis, and even animal conservation. For example, Red Pitaya STEMlab has been used in projects to monitor harmful gas emissions, track deforestation in the Amazon, and measure water quality in remote areas. By offering cost-effective, adaptable solutions, open source helps make environmental monitoring accessible, especially in underrepresented regions. In Namibia, for instance, an open-source project uses sensor technology to prevent human-wildlife conflicts without harming animals, ensuring the safety of both people and local wildlife. These types of projects demonstrate the impact of open-source tools in promoting sustainable practices and meeting critical environmental needs. Supporting startups and disruptive innovation Many startups have successfully leveraged open-source technology to accelerate their development cycles and reduce costs. Open-source technology enables startups to create prototypes quickly and access a global community for testing and refinement, making it easier to attract investors and bring viable products to market. Open-source hardware not only supports early-stage companies but also enables them to bring sophisticated solutions to sectors that require high accuracy and reliability, like environmental monitoring and medical technology. By focusing on shared development and reducing overhead, open source creates a clear path for emerging tech companies to innovate sustainably. The future of open source in high-tech innovation Looking forward, open source will continue to be a key driver in areas where adaptability and rapid innovation are essential. Fields like healthcare, education, and environmental technology will likely see the most immediate benefits as open-source models make advanced solutions more accessible and customisable. In medical technology, for instance, the combination of open-source hardware and artificial intelligence could address staff shortages and resource constraints by automating diagnostic processes or supporting remote healthcare in underserved areas. Open source offers a model for sustainable progress, enabling a wide range of individuals and institutions to develop solutions at a global scale. As technology becomes more collaborative and interconnected, open source remains a powerful enabler for creating solutions to complex global challenges, driving innovation, and building a more sustainable future. 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