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Sreeni Unnamatla
Executive Vice President Asia Pacific & Japan
Kore.ai Inc
Sreeni has spent over 30 years in Asia Pacific & Japan in various executive and leadership roles with Global IT & Software firms and with an extensive understanding of Local & Global business practices. Has successfully established several cutting-edge technology businesses and expanded into the APAC markets over the last two decades.
講演
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1:30–3:00午後金 27 2月GFTN InsightsRoundtable Room 1, Bellesalle 4FPremium
Roadmap for AI and Quantum
Proof, Not Promises: Test‑and‑Learn Regulation for AI, Payments & Programmable Money | 実証で築く信頼──AI・決済・プログラマブルマネーの新しい規制アプローチ
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Dr. Andras RungFounder & Chief Executive OfficerErgomania Digital Product Design
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Prof. Bob WardropProfessor, University of Cambridge & Spin-out FounderCambridge University & RegGenome
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Colin PayneHead of InnovationFinancial Conduct Authority (FCA)
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Kenneth GayChief FinTech OfficerMonetary Authority of Singapore
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Kiran MistryRegional Head of Financial Services, APACSAP
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Dr. Shawn HunterResearch FellowGriffith Asia Institute
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Sheldon MillsExecutive DirectorFinancial Conduct Authority (FCA)
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Sho NasuDeputy DirectorFinancial Services Agency of Japan (JFSA)
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Sreeni UnnamatlaExecutive Vice President Asia Pacific & JapanKore.ai Inc
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Tatia TsiklauriSenior SpecialistNational Bank of Georgia
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Tim BaileyVice President of Global Business & OperationsRed Date Technology
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Simran SinghAI Lab LeadFinancial Conduct Authority (FCA)Moderator
About this session
AI is reshaping financial services faster than traditional rulemaking can keep pace - not only through new models, but through new ways of deploying and combining existing techniques across products, channels, and infrastructure. This open roundtable brings together regulators, industry leaders, and researchers to explore how “test‑and‑learn” approaches (sandboxes, pilots, evaluation methods, shared experiments) can generate evidence that builds trust without stifling innovation. A dedicated chapter will examine agentic payments as a practical test case: where AI is beginning to progress payment workflows, what enables safe scaling, and what concerns matter most. The discussion then widens to parallels across other parts of finance and intersections with programmable money (DLT/tokenisedpayments) and emerging security horizons. The session is designed to be conversational, practical, and forward-looking - surfacing lessons that travel across jurisdictions and sectors.
AIは、従来の規制の動きを上回る速度で、金融サービスの姿を変えています。その変化は、新しいモデルの登場だけによるものではありません。既存の技術を製品やチャネル、インフラを横断して組み合わせ、活用する新しい手法が広がっていることも大きな要因となっています。
本オープンラウンドテーブルでは、規制当局、業界のリーダー、研究者が集まり、試験運用を重ねながら改善していく「テスト・アンド・ラーン」型の取り組み（サンドボックス、パイロットテスト、評価手法、共同実験など）によって、イノベーションを妨げることなく、信頼につながる確かな根拠をどう積み上げられるのかを探ります。あわせて、エージェント型決済を実践的な検証例として取り上げます。AIが決済の流れをどのように変え始めているのか、安全に広げていくために何が必要なのか、そして何が主な懸念となるのかを検討します。
議論はさらに広がり、金融のほかの分野との共通点や、プログラマブルマネー（DLTやトークン化された決済）との接点、そしてこれから浮上してくる新たなセキュリティ課題にも目を向けます。本セッションは、対話を重視し、実務に根ざしながら将来を見据えた議論を行います。法域や業界を越えて共有できる教訓や示唆を見いだすことを目指します。 -
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4:30–5:30午後金 27 2月WorkshopWorkshop Room 1, Bellesalle 5FOpen
Roadmap for AI and Quantum
Enterprise AI Without the Chaos An Executive Playbook for Taking AI from Pilot to Production - Powered by Kore.ai
About this session
The curation of content and speakers was wholly managed by Kore.ai and does not reflect the views of the organisers or its staff.
Most enterprise AI initiatives stall after the pilot stage. This hands-on workshop cuts through the hype to focus on the how: how to break a complex, multi-market AI rollout into manageable phases, align stakeholders across business and technology, and scale with confidence. Drawing on live case studies from banks and insurers that have successfully moved from proof of concept to full production, Kore.ai will guide participants through a practical, repeatable framework for phased implementation. The session covers foundation setup, pilot design, expansion strategy, and scale-up governance—leaving attendees with a clear, actionable roadmap they can apply immediately.
Presented by:
1. Sreeni Unnamatla, EVP APAC & Japan, Kore.ai Japan GK
