Darshana Thakker

This is what AI 'thinks' of my interview with Prof. Kevin Werbach 😅: "David Hardoon delivers a masterclass in Accountable AI! From Singapore’s FEAT principles to Standard Chartered’s AI innovation, he proves governance is a catalyst for trust and progress in fintech. A must-watch for anyone shaping AI’s future—accountability isn’t a burden, it’s a competitive edge! 🚀" I think AI is being far too kind, or maybe its just AI particularly agreeing with the core theme that one can't outsource accountability in AI to AI 😁 Key Takeaways: Justify, Don’t Blindly Trust: AI decisions must be rigorously interrogated to ensure fairness and transparency. Governance Drives Innovation: Embedding accountability in AI processes boosts resilience and value, not bureaucracy. GenAI’s Dual Edge: Harness its potential to fight scams, but only with robust, human-led oversight. Global Lessons: Singapore’s collaborative AI policies (like Veritas) set a benchmark for balancing regulation and innovation. https://lnkd.in/gUVAyrWx

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Next-generation AI agents are redefining process automation, moving from traditional robotic to agentic automation. It’s truly exciting to see how organizations are unlocking entirely new possibilities to streamline workflows and drive innovation, leading to remarkable gains in efficiency, creativity, and agility. My colleagues Prakul Sharma, AJ M., Patricia Henderson, and Camille Chicklis explore how collective automation and autonomous AI agents are transforming essential business processes in a new Deloitte Insights report [https://deloi.tt/45guxjC]. To illustrate agents in action, they highlight the integration of AI agents with robotic process automation (RPA) technology in invoicing. While RPA excels at automating the routine tasks, it often struggles with missing or unstructured data and exceptions. Adding AI agents into the mix enables smarter, more adaptive automation—capable of managing exceptions like missing vendor details and learning from each new transaction to continuously improve. By adopting these advances and reinventing everyday processes, organizations enhance efficiency and generate value, positioning themselves for whatever comes next!  

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The $450B #Agentic #AI Opportunity—But Trust Is the Barrier Agentic AI is being hailed as the next frontier in #enterprise #transformation — with Capgemini projecting $450B in value by 2028. But here’s the kicker: 🔻 Only 2% of organizations have scaled it 🔻 And trust in autonomous agents is declining — from 43% to 27% in just a year (https://lnkd.in/gdFDNS53) What happened? We’re moving from experimenting with #GenAI to operationalizing agents that can act, decide, and self-direct. And that shift is forcing a deeper conversation: How do we build trustworthy autonomy? How do we keep humans in the loop — without becoming a bottleneck? We’ll be unpacking this tension at our next HSBC #Innovation Day focused on #Data & #AI this September — where #CDO s, #CAIO s, leading #startups and #venture #investors will come together for an afternoon to explore the future of building governed, scalable, and trusted AI #ecosystems. 📍 San Francisco | Sept 4 📍 NYC | Sept 9 Details here: https://lnkd.in/gbv8QTEP #AI #AgenticAI #GenAI #DataLeadership #InnovationStrategy #CDAO #EnterpriseAI #HSBCInnovationDays HSBC Innovation Banking

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Within an enterprise, extracting sustained value from AI will largely come down to organizing and integrating internal data with AI while ensuring the appropriate governance. This article covers some of the key concepts. https://lnkd.in/e3tqUsAN

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