Garbage in, garbage out. This old adage has never been more relevant. As businesses rack to unlock value from artificial intelligence (AI), the spotlight is shifting to the one system AI models can’t live without: the database. Today’s AI models rely on massive volumes of structured and unstructured data. It’s no surprise then that, with...
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The synergy created by the banking industry’s collaboration with advanced technology is revolutionizing the delivery of financial services to customers. Yet, despite significant advancements during the last decade, challenges related to digital transformation persist. Although there is evidence of progress related to privacy and data concerns, integrating financial services with modern technology platforms continues to...
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For any competitive business today, generative AI is a board-level priority for the year ahead – and it’s easy to see why. When implemented strategically and thoughtfully, generative AI enables many benefits: higher velocity of innovation, cost reductions, elevated workforce productivity, and enhanced customer experiences – to name a few. These are key advantages that will keep a business competitive and resilient in today’s economic landscape.
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Generative artificial intelligence (GenAI) has received no small amount of buzz over the past few years, but the area of greatest interest to many organisations is multi-agent AI. However, making this technology work as promised requires a rethink of system architecture. Multi-agent AI systems build on agentic AI, which can learn, adapt and act independently....
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Can emerging AI technology become a differentiator on the trading desk? Trading has become a focus for innovation within the investment industry. The trading desk has been applying tech to address trading and operational efficiency challenges, market complexity, and keeping ahead of compliance and regulatory rules globally.
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Maintaining robust network security in today’s threat climate is a challenge. Adhering to best practices is just as difficult. However, both are necessary to ensure that organizations can continue running efficiently and securely with minimal interruption or downtime to the network. This is easier said than done, but with the array of technologies available today,...
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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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