For those of us following the world of digital experiences, a worrying trend has been emerging. Brand managers, marketers and UX designers are increasingly ‘playing it safe’, falling back on recognisable designs and experiences that they know will resonate across multiple channels, but not necessarily ‘wow’ audiences with something new. Termed "Blandification", this trend has been described as “the drift towards uniformity and lack of distinction in brand experiences”.
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In today’s fast-paced and competitive industrial landscape, staying stagnant is no longer an option. Companies that continue to rely on outdated processes and fragmented technologies risk being outpaced by those who embrace smarter, faster, and more sustainable solutions. Enter Digital PLM (Product Lifecycle Management) and Digital Thread, two strategic enablers reshaping how businesses ideate, design, develop, manufacture, deliver, and service products.
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More than three decades ago, Red Hat saw the potential of how open source development and licenses can create better software to fuel IT innovation. Thirty-million lines of code later, Linux not only developed to become the most successful open source software but the most successful software to date. Our commitment to open source principles continues today, not only in our business model, but in our corporate culture as well. We believe that these concepts can have the same impact on artificial intelligence (AI) if done the right way, and yet there is a distinct divide within the technology world as to what “the right way” is.
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In our digital society, software updates are now a regular feature of daily life. Whether it's our phones, computers or tablets, we can now expect daily automatic notifications of new versions of applications and operating systems designed to enhance functionality and address user limitations.
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91% of small and medium-sized businesses (SMBs) using AI report significant success. This isn’t just a statistic—it’s a game-changing shift. While 93% of SMBs still struggle with rising costs and operational challenges, those leveraging AI are transforming their performance, optimizing processes, and competing more effectively. In a market where e-commerce giants control over 37.6% of the landscape, smaller businesses have...
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AI has become a ubiquitous topic, infiltrating every facet of our lives, including the music industry. While there are debates in favor and against AI in all industries, it feels like arguments against AI are felt strongest in the music and creative industries. For the music industry, AI offers the prospect of streamlining operations and...
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In 2020, automotive production lines ground to a halt because a critical component was missing: microchips. Vehicles sat unfinished, costing the industry billions in lost revenue. Fast forward to today, and the tech sector is on the brink of a similar crisis. This time, it’s the surging demand for artificial intelligence (AI) that is pushing...
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Due to strict rules governing data, highly regulated sectors like financial services, healthcare and public sector agencies cannot simply rush headlong into deploying generative AI (genAI). However, the potential for increased efficiency and productivity is simply too great to ignore. The question isn’t whether these sectors should leverage genAI, but how they can do so...
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The global Smart Cities market is anticipated to experience substantial growth in revenue over the next few years and reach $6.5bn by 2032, according to research from Guidehouse Insights. Much of this growth is driven by the pressures that rising temperatures and significant climate changes are placing on countries in terms of finding new ways...
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