AI driven value opportunities for Banks and FinTech's
Dylani Herath
Engineering Leader | Tech Advisor | CHIEF |TechStars Mentor(ex.Executive @JPMorgan, @FIS)
In just a decade, artificial intelligence (AI) has morphed from an intriguing concept to a game-changing force at the heart of a financial revolution. Although AI has been around for many years, the rise of public facing AI driven tools in the hands of more people have given receptiveness to adopting AI and AI driven technologies.?
For fintech moguls, this is not just about staying ahead; it's about the race to dominating the game today. AI, especially the ascent of generative AI (GenAI), is reshaping the very essence of financial processes. Some of the key considerations for leaders who are transforming their organizations are as follows;
In our world, data is king, and we control vast, customer-centric gold mines. Granular transactional data is the key to unlocking unparalleled insights into behaviors, preferences, and risks. Embracing AI, especially GenAI, isn't just an advantage—it's a strategic imperative for those aiming for enduring supremacy.
While predictive AI has been a staple in fintech, GenAI injects a new level of prowess. Think of it as the right-hand accomplice to predictive AI's left—a blend of logic and creativity. GenAI doesn't replace; it complements, opening doors to groundbreaking applications beyond mere chatbots.
GenAI isn't confined to the realm of chatbots; its versatility extends to automated financial analysis and AI-assisted code development. Fintech heavyweights like Goldman Sachs and American Express are already integrating GenAI into their solutions, paving the way for the future.
Leaders, here's the game plan: GenAI doesn't usurp your existing AI strategies; it elevates them. It's about leveraging strengths—predictive AI for analytical tasks and GenAI for creative endeavors. But a word of caution: attempting to outdo GenAI may backfire.
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Experimentation is the name of the game, but a shotgun approach won't cut it. Targeted, controlled experiments in innovation-driven areas lead the way. Fintech leaders should identify high-impact GenAI opportunities that align with their strategic objectives.
The real victories come from holistic transformations. Rather than isolated use cases, fintech thrives when entire processes are reimagined with both AI and human roles in mind. GenAI, paired with predictive AI, unlocks synergies in everything from customer outreach to content creation.
In the race for technological dominance, don't lose sight of the human and process elements. Fintech growth requires audacious organizational restructuring, interdisciplinary teams, and an agile structure. The impact on roles—from low-code automation to creative augmentation—demands a pragmatic talent plan.
As a fintech titan, the transformative impact of AI is only realized with an ironclad governance framework. Regulatory scrutiny is escalating, and responsible AI practices are non-negotiable. The EU's AI Act sets the stage, emphasizing risk-based consumer protection.
Fintech titans, resist the allure of a spectator's seat. Dive headfirst into AI, especially GenAI, as a strategic imperative. Take a medium- to long-term view in your strategies, HR planning, and governance frameworks. Those who plan today will be the architects of the fintech revolution tomorrow.
In the dynamic world of fintech, GenAI isn't just a technology; it's the battle leading the charge into a future where innovation, efficiency, and responsible AI converge for unprecedented wins for the fastest and most impactful adopters.
AI/LLM Disruptive Leader | GenAI Tech Lab
12 个月Thank you for sharing! Here is another opportunity with 10 notebooks focusing on various GenAI technologies, with a chance to win a prize: https://mltblog.com/49YKWuO
I help Fintech, Healthcare, and SaaS companies enhance their user engagement through simple, effective UX/UI solutions.
12 个月Dylani, you are quite insightful! Your perspective on GenAI and predictive AI is fascinating. But let's not forget about the importance of transparency in AI applications. It's great to have these smart systems, but if our clients don't understand how their data is being used, trust concerns may arise. Experiments that don't go as planned might sometimes yield the most significant findings!??
SVP, Commercial and Treasury Technology at Georgia's Own Credit Union | Board Member | Veteran | Volunteer | Non-Profit
12 个月Great insight Dylani Herath - its an important topic and it will absolutely start to show up as a positive differentiator for those organizations who can understand, embrace and responsibly employ GenAI without losing customer focus.
COO at GreenPortfolio | VC Backed Founder | CHIEF Member
12 个月So timely! Was just being asked how we're leveraging AI in our climate wealthtech service.
Executive Coach | Author | Speaker | Facilitator
12 个月Loving all of this. I think it's important for EVERYONE to start playing with it to demystify its skills. The fear of change and company's ability to chariot their staff through the revolution will be the success point. It's coming no matter what.