Generative AI is reshaping our ways of working and transforming our relationship with technology.
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Navigating Disruption: How GenAI Could Transform the Asset Servicing Landscape
GenAI is redefining efficiency across middle- and back-office operations, challenging the long-standing outsourcing model. This paper explores how asset managers and servicers can navigate this disruption—leveraging AI-driven automation, digital workers, and no-code innovation to unlock flexibility, reduce costs, and create smarter operating models.
Why Smaller Firms May Lose in the Age of GenAI
GenAI is enabling large firms to deliver personalized, agile experiences at scale—eroding the traditional advantages of smaller firms. While many smaller players are hesitant to act, waiting puts them at risk of falling into a dangerous middle ground: no longer unique, yet not scaled enough to compete. To stay relevant, small firms must embrace GenAI now—moving fast, experimenting smartly, and building capabilities that keep them competitive in a changing market.
Want Real AI Adoption? Teach Less, Change More
Creating an AI curriculum is a good start, but real GenAI adoption requires a culture shift. That means going beyond training to inspire curiosity, empower champions, and reinforce everyday habits. Start by spotlighting early adopters, sparking playful engagement to build confidence, and embedding micro-behaviors—like reminders, routines, and sharing forums. Adoption isn’t about knowledge alone—it’s about belief, permission, and momentum.
Generative AI: Transforming the Future of Capital Markets
Generative AI (Gen AI) is poised to transform capital markets, influencing over two-thirds of industry functions. Firms exploring Gen AI's capabilities now will be well-positioned to capitalize on its advantages. Starting with manageable, low-risk use cases, such as productivity applications, can help firms unlock Gen AI's potential.
The Journey to Capturing Value with Gen AI
The journey to fully capture AI’s value is a phased process, from targeted use cases to a transformative reshaping of business models and customer experiences. By strategically integrating AI, companies can boost productivity, enhance customer satisfaction, and build a more engaged workforce. Those who embrace this progression will be well-positioned to lead in an increasingly AI-driven world.
Culture Eats Strategy for Breakfast… Unless Generative AI Eats Culture First
Generative AI is moving faster than most company cultures can handle, challenging traditional power structures, workflows, and norms. When adoption happens in secret or outside official channels, it’s a sign that culture is lagging behind technology. Organizations that want to thrive need to treat GenAI as a culture shift—not just a tech upgrade—and intentionally evolve how they lead, govern, and support experimentation.
Beyond the Buzz: How to Make Responsible AI Real in Your Organization
Responsible AI has become a cornerstone of conversations around the ethical use of technology, but for many organizations, it remains a lofty ideal rather than a practical reality. Buzzwords and aspirational statements are easy; implementation is hard. How do you move from talking about responsible AI to embedding it in your operations, decision-making, and products?
Applying Responsible AI: A Framework for Ethical and Sustainable Innovation
As artificial intelligence (AI) continues to redefine industries and transform the way we work, live, and make decisions, the question of responsibility looms large. While the promise of AI is undeniable, the risks it poses—from bias to privacy violations—are equally pressing. Businesses and organizations must adopt a framework for applying responsible AI to ensure their innovations are ethical, transparent, and sustainable.
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