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. 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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. 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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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How AI is transforming businesses
This article is published in collaboration with the AI Awards & Summit. Enter the awards by March 16, 2025 – click here to submit your entry. In this piece, Silicon Valley innovator Kevin Surace, known as the “Father of the Virtual Assistant,” explores the transformative power of AI and shares essential insights on its impact on businesses. In a world where AI is reshaping industries and redefining roles, my journey with AI has been guided by a commitment to solving real-world problems. From creating the first human-like virtual assistant, Portico, to developing Appvance’s AI-first platform for software quality, I’ve always believed in using AI to drive efficiency and innovation. Here, I’ll share some reflections on AI’s transformative impact, the challenges organisations face, and the future of technology in an increasingly AI-driven world. AI’s Impact on Business Processes and Decision-Making The advent of deep learning in 2012 marked a turning point. AI’s ability to perform complex computations enabled us to solve challenges we once thought impossible. Generative AI, the most publicised form of AI today, opened new possibilities, allowing anyone to interact with AI in natural language, making it accessible beyond traditional tech circles. In business, AI has revolutionised content creation and customer service. We can generate blog posts or complex imagery with a single prompt, driving the cost of content creation towards zero. This transformation extends to software development, where AI co-pilots can enhance productivity, making coding faster and more accurate. As I often say, AI is no longer a novelty; it’s a utility that boosts efficiency, speeds up processes, and redefines roles. Challenges in Implementing AI Technologies Despite AI’s potential, organisations face hurdles in adopting it. Privacy is paramount. When training models, companies must ensure proprietary data remains secure. Training is another challenge; without skilled AI trainers, many organisations struggle to make the most of AI tools. Cultural resistance also plays a role. Some employees may feel threatened by AI, viewing it as a replacement rather than a tool to enhance productivity. Overcoming these challenges requires a holistic approach. First, companies must secure and privatise their models to protect sensitive information. Training employees on AI usage is equally important to build comfort and proficiency with the technology. Lastly, leaders should emphasise AI as a means to enhance roles rather than replace them. A well-trained workforce empowered by AI is a recipe for sustained growth. Key Considerations for Long-Term Digital Transformation For organisations undergoing digital transformation, productivity gains should be the primary metric. Digital transformation isn’t just about adopting the latest tech—it’s about driving efficiency and cost-effectiveness. At Appvance, we harnessed AI to streamline software testing, eliminating repetitive tasks and allowing developers to focus on innovation. Our AIQ platform can generate and execute thousands of test cases automatically, providing full application coverage that was previously unachievable. This transformation requires organisations to set clear goals and identify areas where AI can deliver measurable results. Whether through improving customer service, enhancing employee satisfaction, or reducing operational costs, businesses should focus on AI as a tool for productivity and value creation. Ethical Considerations in AI Integration AI brings immense power, but it also raises ethical concerns. Privacy and security are crucial, particularly with technologies that handle sensitive data. Deepfakes and phishing scams are growing issues, with AI-generated messages nearly indistinguishable from human communication. To combat these threats, companies need robust cybersecurity measures. I’m working with Token Ring, a biometric ring that provides next-generation multi-factor authentication to secure applications against these risks. Bias in AI is another ethical issue. Models trained on historical data may reinforce stereotypes, creating unfair outcomes. For example, if an AI model consistently depicts CEOs as older white males, it limits representation for other demographics. To counteract this, companies need to audit their AI models for bias and ensure diverse training data to foster inclusivity. The Next Decade of AI: Exciting Developments and Industry Shifts Looking ahead, two trends stand out: the rise of AI agents and advances in humanoid robotics. AI agents, or autonomous digital assistants, will soon be capable of performing complex tasks on our behalf. Imagine telling an AI to schedule a meeting or negotiate a contract; these agents will revolutionise productivity by handling repetitive, administrative tasks. In robotics, reinforcement learning has enabled robots to perform intricate tasks without explicit programming. For instance, a robot can learn to make coffee by experimenting and “rewarding” successful attempts. This self-teaching capability opens up new possibilities for robots in everyday settings, from household chores to industrial applications. These developments are exciting because they bridge the digital and physical worlds. AI agents can handle digital tasks, while robots can assist in physical environments. Together, they will redefine what’s possible in industries from healthcare to manufacturing. Advice for Aspiring Innovators As someone who’s filed over 94 patents, I often reflect on my journey. My advice for young entrepreneurs is simple: focus on solving real problems. Innovation for its own sake is less impactful than finding solutions that meet a need or improve lives. Be resilient, learn from failures, and don’t be afraid to venture into diverse fields. Curiosity has driven my career, whether in AI, construction materials, or energy-efficient technologies. In today’s world, the pace of technological advancement is unprecedented. For those entering the field, remember that innovation is not just about having the best idea but about making it practical and valuable. Stay adaptable, focus on continuous learning, and surround yourself with people who challenge you. Conclusion AI is transforming every facet of business and life, from automating routine tasks to enabling unprecedented productivity gains. As AI continues to evolve, ethical considerations, privacy concerns, and workforce integration will remain crucial. For businesses and entrepreneurs, the key to leveraging AI lies in focusing on real-world applications, enhancing human capabilities, and maintaining a commitment to responsible innovation. By embracing AI thoughtfully, we can unlock new possibilities and build a future where technology serves humanity’s best interests. 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AI led Digital Transformation in Print Manufacturing
The manufacturing industry is undergoing a massive transformation, integrating technologies like artificial intelligence, automation, and digitalisation to optimise production and boost efficiency. In print manufacturing, companies adapt to these changes by viewing AI as a tool for growth rather than a threat. In this article, John Kilburg from K12 Printing reacts to digital transformation that is led by artificial intelligence. This article is published in line with the Digital Transformation and AI Awards and Summit. To exhibit at the event, please get in touch at +44 (0)203 931 5827. The Impact of Digital Transformation on Print Manufacturing This isn’t the first major shift in manufacturing. Like many other industries, print manufacturing experienced significant digital transformation with the introduction of computers and other digital technologies. Decades ago, manual processes dominated the industry, limiting efficiency and scope. The introduction of digital tools such as computer-aided design and automated printing presses revolutionised production. This shift allowed for faster workflows, improved precision, and greater customisation. This earlier wave of digital transformation was a cause of discomfort for many in the manufacturing industry due to concern about the new technology replacing jobs. Instead, it reshaped roles without replacing them. It created opportunities for workers to upskill and move into more specialised roles such as graphic designers or other important roles within the print manufacturing industry. Today, many print manufacturers see AI as a continuation of this evolution, offering new ways to enhance their business and empower their workforce. AI’s Role in Print Manufacturing While still early in print manufacturing, AI is poised to bring substantial benefits in certain areas. At K12 Print, AI is being explored cautiously, with a focus on enhancing efficiency and creativity rather than reducing jobs. Shortly, AI is likely to assist in design elements. This would enable designers to work faster and focus more on creativity and strategic decision-making. Another practical implementation is through machine maintenance, using predictive analytics to prevent breakdowns and optimise performance, minimising downtime. Rather than letting technology drive layoffs, companies should be committed to maintaining their workforce and creating opportunities for career advancement. This approach keeps jobs in the country and the community and strengthens the company’s foundation as a tight-knit group that values each employee’s growth. Enhancing Print Quality There are many practical uses of artificial intelligence in print manufacturing. First, AI can be used to analyse and optimise images that are received from the customer. Most customers are not knowledgeable about print files or colour builds. Artificial intelligence can sharpen images and adjust colour in real time. The result of these corrections is high-quality prints in a shorter amount of time which saves money. Also, AI may come into the design elements of print when customers bring forward ideas for us to create. Several nuances go into making their idea a reality and although there are currently real people building off those ideas. AI and Sustainability The manufacturing industry is constantly evolving when it comes to sustainability. Many of the printing tools have become more environmentally friendly over the years especially when it comes to ink and other critical elements in printing. But more changes on the horizon can make printing more sustainable. The use of AI systems can help reduce waste and save on energy consumption. This can help lessen the environmental impact of the printing industry. Additionally, artificial intelligence can use its vast database (learned knowledge) to suggest other areas where printing can transition to eco-friendly materials. A practical implementation of AI could also be in predictive maintenance—monitoring the machines in use and predicting breakdowns so they can be avoided. AI and Cost AI may be cost-prohibitive to smaller print manufacturing companies in the short term. However, as history teaches us, technology tends to become affordable very quickly once it is embraced by the masses. The more we learn to embrace AI rather than fear AI, the faster it will become a tool that propels us forward. Security Every data-driven industry must think about security. And print manufacturing is no different. Another practical implementation of AI in manufacturing is within the company’s security setup. AI can identify patterns in data traffic that can be indicative of a security breach and suggest, or even implement measures to counter the breach. It can also work to prevent security breaches by enforcing user authentication and even monitoring the printing of sensitive or confidential materials. Print Personalisation Although a vast majority of the print orders that come through the shop are custom orders there is still a major market for pre-made ready-to-order looks. AI systems can use available data about customers to customise content based on that data. This can be used in marketing campaigns to create high-response materials targeted to specific audiences. Packaging and direct mail will be big beneficiaries of this. AI Won’t Replace Jobs – It Will Create New Opportunities A common concern in the workplace is that AI will lead to job loss. However, this fear may be overstated. Much like the earlier digital transformation, AI presents an opportunity to elevate both workers and businesses. K12 Print is committed to investing in education and on-the-job training for employees, preparing them to adapt and thrive in a more technology-driven workplace. Upskilling the workforce will ensure that workers move into more rewarding roles. AI will likely take over repetitive tasks, but this shift will allow employees to focus on oversight roles. For print manufacturing, this means workers can explore new career paths in roles such as AI technicians, data analysts, and advanced machine operators. Digital transformation in manufacturing is inevitable, and AI will play a crucial role in shaping the 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
Transforming Banking with DevOps
This article is published in collaboration with the Digital Transformation and AI Awards and Summit. These are two separate B2B events organised by 31 Media. If you wish to exhibit your tech solutions or to advertise your brand at the event, please get in touch at +44 (0)203 931 5827. Author: Arnab Mitra, programme manager at Banking Industry Architecture Network (BIAN) The banking industry is undergoing a significant digital transformation. The emergence of fintechs and industry disruptors is forcing traditional banks to innovate faster than ever before to remain competitive and address the needs of the digital-first customer. Delivering these solutions effectively and at speed often requires an overhaul of legacy technology and the emergence of new technological-driven processes. Enter DevOps, a combination of practices and tools that is driving the future of the financial services industry. We spoke with Arnab Mitra, programme manager at the Banking Industry Architecture Network (BIAN) about the role of DevOps in banking and the need for industry collaboration to further accelerate transformation. Q1: What challenges have traditionally hindered banks from adopting DevOps, and how has the industry’s perspective shifted to embrace this methodology? Traditionally, banks were slow to adopt DevOps due to regulatory constraints, concerns about data security, and a legacy mindset that is naturally more hesitant towards change and innovation. However, the pandemic accelerated the need for banks to offer digital services, which in turn hastened the adoption of DevOps. As the benefits of DevOps became clear, banks have realised that they needed to embrace this methodology to remain competitive and keep pace with nimbler fintechs, while offering new services that are enabled through best-of-breed technologies. In today’s rapidly evolving IT landscape, DevOps streamlines transformation and enables banks to deliver innovative digital services at speed and scale. With the global drive for transformation, banks recognised that if they don’t transform, they risk being left behind, and at a significant cost. For example, a 2023 IDC Financial Insights survey found global banks are on track to spend $57.1 billion on legacy payments technology in 2028. It’s therefore no surprise that over 80% of financial services firms have embraced DevOps practices, reflecting the widespread adoption and recognition of its benefits in the industry. Q2: What is BIAN’s approach to DevOps? How is this reflected in BIANs offerings? BIAN is built on collaboration across the industry and we use DevOps methodology within our member activities to encourage this. Working groups formed of members from different organisations within banks, technology vendors and consultancies come together to share thoughts, ideas and experiences to collaborate on innovative solutions, for example producing API specifications. Another example is our Coreless Banking initiative, which completed its third iteration last year. BIAN took a DevOps approach to this initiative, which was developed by a collaboration of leading banks and technology vendors, including HSBC, Zafin and IBM. The initiative, which aims to tackle the interoperability challenges banks face, resulted in an API-based services architecture that empowers banks to integrate best-of-breed technology seamlessly. Coreless Banking leverages the DevOps processes of the individual participating members to bring their components (solutions) into a published state, for other participants to use and integrate with. This allows for quick releases when any changes are required for any individual member. At the same time, using the BIAN standard for the API interface specifications means the integrated solution still works. Q3: Can you share any examples of how you’ve implemented DevOps principles on a more practical level? BIAN’s materials, including our Service Domains, are made available on the cloud, allowing members to access and use BIAN APIs for various applications within their organisations. Using BIAN’s framework, external parties can access our materials and create their own CI/CD pipeline, adapting it to their own needs. Members also have access to BIAN tooling, with functionality that allows users to match their APIs with BIAN APIs. In addition to this, we have an automated feedback loop and message modellers which enable rapid updates to BIAN models, once manually approved. Members can compare artefacts with the BIAN model content, helping to ensure APIs are compliant, within our framework. These automated processes guarantee consistent quality across all of our materials, eliminating individual preferences and ensuring regulatory compliance While we have been using DevOps in our approach for many years, we are now exploring how AI is enabling and evolving our DevOps operations. Q4: How is AI transforming DevOps practices and environments within the financial services industry? AI is a true game-changer within the industry. When applied to DevOps, the scope for automation within these environments is huge. BIAN is exploring many potential use cases for the technology. For instance, we’re looking at how we can use AI to generate sample data for Service Domain APIs to create a sandbox with quality test data that developers can use to mock up innovative solutions using these APIs. Additionally, we are piloting an AI-based API mapping app to automate the mapping process by 50-60%, significantly reducing human effort. We are focusing on training our AI-Engine with quality data, and feedback from our members supports the finetuning of this app. This means that members using our model will benefit from streamlined processes and enhanced efficiencies, while BIAN benefits from member feedback which continuously trains and improves our AI models, further supporting our collaborative environment. Q5: How important will DevOps be for the future of banking? Why is collaboration the key to transformation? As banks continue to focus on digital transformation, DevOps practices will be essential for delivering innovative products and services at speed. When development and operations teams work together closely, they can identify and address issues more efficiently, improve communication and ultimately deliver better results. By breaking down siloes – not only within organisations but across the financial services ecosystem – it creates a more cohesive and successful work environment. With the advent of new technologies, including AI, it’s now more important than ever for teams to share ideas about how this technology can be used safely and
