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Chief AI Officer at AI Technolo...
Chief AI Officer at AI Technologies, United Kingdom
Physicist and PhD from Imperial College, former Founders Factory (FF), Chief AI Officer at AI Technologies, a company specializing in AI and automation (clients in various sectors: Telecoms, Cybersecurity, Public Sector, Gaming, Energy). Board AI advisor for Waed Saudi Aramco and former AI Advisor of various funds, including Antler Venture Capital and Capital Enterprise. Committee member for IEEE and ISO Standards for AI policy. AI newsletter 'Human on AI' with 2900+ subscribers and a writer in AI ('Machine Learning for the Web' published by Packt in English and translated into Chinese and Korean more than 10,000+ copies). International AI speaker (including London, New York, Dubai, Frankfurt, Saudi Arabia) and invited to speak by governments (Kazakhstan and Saudi Arabia).
Research Engineer Directorate of...
Research Engineer Directorate of Research and Development, Algeria
Mohamed Moualhi holds a Master’s degree in Software Engineering and is currently affiliated with the Software Implementation and Validation Laboratory in Algiers, Algeria. He specializes in machine learning, deep learning, and data-driven systems, with a particular focus on applying AI to real-world challenges. His early research centered on remote sensing and Earth observation, leveraging advanced models to address environmental and sustainability issues. Recently, his work has expanded toward exploring data governance, large language models, and the evolving dynamics of the digital economy. Through both academic and applied projects, Mohamed demonstrates a strong commitment to advancing ethical, transparent, and impactful uses of artificial intelligence for societal benefit.
Vice President - Analytics...
Vice President - Analytics & AI Capgemini Invent London
Elisa is a VP in the Analytics and AI team in Capgemini Invent and has extensive experience in designing and delivering Data and AI transformation projects from mobilisation to go-live across private and public sector. She has explored different career paths (including oboe player and academia!) before focusing on delivering organisational and societal data driven value and insight. Elisa is also a strong advocate of gender diversity in Data, acting as a mentor and driving initiatives to increase female participation in STEM and data.
CEO, Span Management Consulting
Prof. Abdul Rahim Sabouni is the CEO of Span Management Consulting and Chief Academic Advisor at the Emirates Scholars Research Center. A distinguished structural engineering professor and former university president, he holds a PhD from Cornell University, an MSc from George Washington University, and a professional certificate in academic leadership from Harvard University. With extensive expertise in design, construction management, and AI, he has held senior roles, including Design Expert for Abu Dhabi Municipality.
Group CTO at Vector Investment...
Group CTO at Vector Investment Capital, United Kingdom
Ian Gatley is a Group Chief Technology Officer in the London insurance market, leading data and AI transformation across multiple regulated entities. His work sits at the intersection of modern data platforms, operational resilience and the practical adoption of agentic AI. Turning "AI potential" into shipped capability. He advises senior leaders on governance, security, commercial value cases and the change mechanics required to scale AI responsibly, with a consistent focus on execution over complexity.
Founder & CEO at FetalFirst
Founder & CEO at FetalFirst, United Kingdom
Nina Abide is Founder & CEO of FetalFirst and a governance-first AI leader focused on taking advanced AI from prototype to real-world deployment in regulated environments. She specialises in responsible clinical AI: validation design, risk management, data protection, and operating models that make AI trustworthy and scalable across organisations. Nina brings a blend of hands-on build experience and enterprise leadership, with prior roles spanning data and AI strategy and delivery in industry. At FetalFirst, she is advancing a regulated clinical decision-support programme, with an Estonia-anchored pilot at Tartu University Hospital and a privacy-preserving deployment model designed for hospital secure environments, aligned with GDPR, HIPAA and ISO 27001 principles. Nina is a member of NVIDIA’s Inception program, holds an Executive MBA from London Business School, and is a Tech Nation Global Talent (Digital Technology) endorsee. She speaks on AI governance, accountability, and turning innovation into dependable, measurable outcomes.
Founder and Managing Director at...
Founder and Managing Director at Data Minds Consulting Ltd, United Kingdom
Pedro is the Founder and Managing Director of Data Minds Consulting Ltd. A specialised advisory firm that supports leading organisations to realise maximum value from data and AI at scale. Data Minds provides consulting and advisory services covering Data Strategy, AI & Advanced Analytics, Data Monetisation and Digital Transformation across multiple sectors. Pedro has more than 20 years’ experience in data and analytics, creating commercial opportunities, driving innovation and helping organisations become more customer centric. He has set up multiple award-winning data functions and done work pioneering AI and advanced analytics across market-leading brands including British Gas, News UK, Warner Bros., Channel 4 and Vodafone.
Founder at WoWExp, Switzerland
Founder at WoWExp, Switzerland
Navin Manaswi is a DeepTech entrepreneur, AI researcher, and global thought leader in Artificial Intelligence, Generative AI, Digital Twins, and Metaverse technologies. He is the Founder of WoWExp, a NASSCOM-recognized DeepTech company that pioneered India’s first Metaverse Meeting Platform (WoWMeet) and Virtual City (WoWCity), working with organizations such as PwC, Infosys, HUL, and Dell. Since 2023, his work has expanded into Generative AI, AI Agents, and industry-scale AI platforms across finance, automation, governance, and smart infrastructure. Navin has represented India at the United Nations ITU-T in Geneva, contributing to global standards on AI, cybersecurity, and digital twins. An educator and author, he actively trains CXOs, professionals, and students worldwide to democratize AI adoption and innovation.
Staff Infrastructure Engineer...
Staff Infrastructure Engineer at Uber, Netherlands
Almaz Rakhimbekov is a Staff Infrastructure Engineer at Uber, where he leads initiatives in large-scale network automation, AI-driven infrastructure modernization, and secure cloud connectivity. With over 15 years of experience spanning telecom, enterprise networking, and edge computing, Almaz focuses on bridging traditional infrastructure with intelligent automation and data-driven decision systems. His work enables Uber’s global network to operate with resilience, adaptability, and self-healing capabilities through integration of AI and workflow orchestration. A two-time panelist at IoT Expo Global, he has shared insights on scaling edge and digital twin deployments for modern enterprises. His recent contributions to the Uber Engineering Blog explore lightweight office infrastructure and SD-WAN transformation. Almaz holds multiple expert-level networking certifications, including JNCIE-DC, JNCIE-SP, and CCIE, and is passionate about advancing AI-assisted operations and human-AI collaboration across enterprise systems.
Head of Data Science...
Head of Data Science, L'Oréal Paris
A dedicated AI enthusiast and people-oriented professional with an extensive background in Data and AI Domain with 10+ patents. In my previous roles, I have spearheaded data-driven initiatives and embraced the title of a Data Scientist. A serendipitous event a few years ago ignited my passion for the digital and data sphere, and since then, I have thrived on the excitement of discovering innovative solutions that empower intelligent individuals to achieve extraordinary feats. Embodying the philosophy of "AI Leadership as a Service," I approach my work with a strategic mindset, ensuring that every project aligns with the highest standards of excellence.
Founder & CEO at Virtual Risk Solutions, Portugal
Oonagh van den Berg is a globally recognised, award-winning compliance and financial crime risk expert with over 20 years of experience across financial services, regulatory, and risk domains. She has led complex compliance and governance initiatives in major global institutions, including top-tier banks and innovative fintech and crypto businesses, and has successfully navigated GRC structures, licensing and remediation programmes across jurisdictions. Oonagh is the Founder and CEO of Virtual Risk Solutions (VRS), a global GRC consultancy specialising in strategic compliance, risk transformation and control uplift. In addition she is the founder and CEO of RAW Compliance — a global social-enterprise platform dedicated to removing financial barriers in access to high-quality compliance training, mentorship, and thought leadership. She is the author of the best selling compliance book series "modernising compliance". She is a sought-after keynote speaker, educator and facilitator, actively contributes to industry dialogue on regulatory change, and advocates for ethical leadership, practical risk management and innovation in compliance practice.
Founder & CEO at Cradle Labs
Founder & CEO at Cradle Labs
Atif Siddiqui is an internationally recognized digital transformation and business strategy leader with nearly 20 years of experience driving enterprise-wide modernization across financial services and government sectors. He has led complex core system transformations, built large scale data platforms, and delivered world first technology implementations that established new benchmarks for innovation and governance. His work has consistently translated strategy into measurable impact, reducing time to market from months to days and scaling revenues more than tenfold within a year through operating model redesign, agile execution, and technology architecture excellence. Atif is the founder of Cradle Labs, a fractional consulting and technology advisory firm that supports organizations in digital and business transformation, data strategy, AI adoption, and business strategy. A Sloan Fellow from London Business School, he is widely regarded as a People, Process, and Technology architect committed to building resilient, future ready institutions.
Founder and Principle, FinBigTech
Founder and Principle, FinBigTech
Jil Ebanoidze is a global fintech executive, board advisor, and entrepreneur with over 20 years of experience driving innovation at the intersection of finance, technology, and impact. She has led strategic roles at Booking.com, eBay, and Naspers, and has built cross-functional teams across Europe, the Middle East, Africa, and Asia. She is the founder of a consulting firm that helps big tech, banks, and fintechs design and scale tech-driven financial products, with a strong focus on ESG and sustainable innovation. Jil also founded Maison AVAZA, a personal branding and female empowerment company that fuses fashion, wellness, and identity. In parallel, she works with government innovation centers across Asia, the Middle East, and Africa to mentor early-stage startups and shape inclusive digital ecosystems. She serves as Chairwoman of the Board at GIFT (Global Impact FinTech) and is a member of SER Topvrouwen, the Dutch Social and Economic Council’s initiative to connect top female executives to board and executive roles.
Senior Business Intelligence...
Senior Business Intelligence Engineer Amazon Web Services
Priya Balgi is a Senior Business Intelligence Engineer at Amazon Web Services (AWS), where she designs and deploys generative AI–driven data systems for large-scale enterprise use. With over 10 years of experience in data engineering, analytics, and AI-driven platforms, her work focuses on advanced analytics, data infrastructure, and the operationalization of AI models in production environments supporting tens of thousands of stakeholders across the organization. She partners closely with engineering, product, and business teams to translate complex data into actionable insights and integrate emerging AI capabilities into real-world enterprise systems. Priya holds a Master’s degree in Information Management from the University of Illinois at Urbana-Champaign. She brings a practitioner's perspective on the technical and operational challenges of deploying AI responsibly, reliably, and at scale, making her a compelling voice on the intersection of AI innovation and enterprise accountability.
Chief Data & Analytics Of...
Chief Data & Analytics Officer at Exadel London, UK
Devendra is the Chief Data & Analytics Officer at Exadel, where he helps global enterprises build AI systems that are trustworthy, scalable, and ready for real-world impact. With over 20 years of hands-on experience in Data, AI, cloud Arch, and governance, he has led major digital transformation programmes and developed operating models that embed responsibility and transparency into AI at scale. Previously, Devendra served as Global Head of Data, Analytics, (Gen)AI & Governance at BCG and held senior data and cloud leadership roles at HSBC. His work focuses on turning complex, fragmented data landscapes into intelligent systems that deliver measurable business impact and also designing practical frameworks that bring fairness, transparency, and accountability into everyday AI development, not just in theory, but in large-scale enterprise environments. Devendra's work sits at the intersection of innovation and responsibility, helping organizations adopt AI with confidence. At this event, he will share real lessons from the field on how to build Responsible AI that actually works in production.
Principal Engineer Advocate...
Principal Engineer Advocate at Oakland Consulting, Leeds, UK
Mike LG is Principal Engineer Advocate at Oakland, a data engineering consultancy. Half his time goes on building agentic AI solutions; the other half on explaining them to people who'd rather not hear the phrase "agentic AI." He's delivered production AI for enterprise clients including Network Rail, where he built their first production-grade AI application, and has designed complex agent architectures for Financial Reporting Operations on Microsoft Azure. He advises organisations across rail, transport, utilities and financial services on the messy reality of AI adoption, including rescuing Copilot deployments that nobody planned governance for. Before any of this, Mike spent eight years teaching secondary physics, which turns out to be decent preparation for explaining large language models to a boardroom. He has a Physics degree from Oxford, a career pivot through data science, and a neural network tattoo to keep him honest. He can also be found running in the mountains, which he insists is relevant preparation for enterprise AI delivery. He speaks regularly at conferences alongside Microsoft, most recently at Data Decoded in Manchester, and runs Oakland's YouTube channel and a tech TikTok with over 30,000 followers, built on cramming dense data topics into short-form video.
Cybersecurity/Cyberfraud R&D Analyst at Barclays, UK
Adepeju is a cybersecurity and financial crime prevention specialist with over nine years of experience across digital banking, fraud risk management, AML compliance, and AI-driven fraud detection. She currently works as a Cybersecurity and Cyber Fraud R&D Analyst in regulated financial services, where she designs and strengthens fraud controls, oversee SIEM and detection systems, and develop AI-enabled solutions to combat evolving financial crime threats. She is a UK Delegate for the Global Alliance for AI (GAFAI), championing responsible, human-centred AI across financial services, cybersecurity, and research communities. Her work focus on ethical AI adoption, model governance, bias mitigation, explainability, and embedding human-in-the-loop controls within high-risk systems. She is an active researcher and thought leader, she has published on AI-driven fraud detection, blockchain-enabled KYC/AML, and data protection, contributing to industry and academic discourse on secure and trustworthy AI. She also serves in advisory and innovation leadership capacities, bridging industry, academia, and policy to advance scalable, ethical, and impactful technology solutions that strengthen societal trust and financial integrity.
Head of Data & AI at Firgun...
Head of Data & AI at Firgun Ventures, UK
Cedric De Schaut is Head of Data & AI at Firgun Ventures, where he works at the intersection of artificial intelligence, data science, and deep-tech investing. He previously worked at Deloitte and Element61 as a data engineer and data analyst, and holds an MSc in Engineering from Ghent University. Cedric is also a Lead AI Lecturer at Le Wagon and a published author on generative AI and its impact on business and education. His work focuses on practical applications of AI, advanced RAG systems, and the evolving role of AI in search, data infrastructure, and emerging technologies.
Chief Technology Officer...
Chief Technology Officer, McKenzie Intelligence Services, London
Andrei Nita is a CTO and data strategy leader with 10+ years of experience building analytics and AI platforms for SaaS scale-ups. He most recently led Engineering, Data, and AI at McKenzie Intelligence Services, a B2B geospatial intelligence platform serving governments and Fortune 500 financial institutions. At McKenzie, he delivered a 300% increase in engineering throughput, a 60% reduction in cloud costs, and defined the five-year technology roadmap. Previously, as Director of Data & Analytics at Builder.ai (Series B–D), Andrei grew a data organization from one person to 15, built investor-grade SaaS metrics dashboards supporting Series B–D fundraising, and led AI/ML initiatives including NLP chatbots and knowledge graph migration. His technical foundation spans cloud architecture (AWS, Azure), modern data stacks (Snowflake, Airflow, Fivetran), and ML productionisation. Andrei holds an MSc in Intelligent Systems and combines deep technical credibility with board-level commercial fluency
Microsoft Technology Advisor, Onex Group
Leszek Niewiadowski is a Business Development Manager at Onex, working at the intersection of business and technology to help organizations get real value from the Microsoft ecosystem. He combines hands-on IT experience with a strong consulting mindset, translating complex technical capabilities into clear business outcomes for his clients. A long-time technology enthusiast, Leszek is particularly interested in how artificial intelligence can transform customer experience, sales, and service processes. He actively participates in events within the Microsoft ecosystem, where he shares practical lessons from digital transformation projects and enjoys connecting with people who are equally passionate about innovation.
Co-founder an CTPO @ Maio Labs...
Co-founder an CTPO @ Maio Labs
Rui Machado is Co-founder and CTPO at Maio Labs, where he leads the development of the Orbit Platform, an AI Workspace Companion built around autonomous agent execution, security, and auditability. He works with organisations across health, enterprise, and digital services to deploy AI that is production-ready from day one. Before founding Maio Labs, Rui built his career as an engineering leader at some of the world's most demanding technology organisations, including Meta, Nike, and H&M — where he led data and engineering teams operating at global scale. He brings that enterprise rigour directly into how Maio Labs designs and ships AI infrastructure. A practitioner and published author, Rui has written two O'Reilly titles: Analytics Engineering with SQL and dbt and Advanced SQL: Implementing Modern Data Solutions and ML Applications. He delivers professional AI training across Portugal and the UK.
Engineering Leader...
Engineering Leader, United Kingdom
Serhii Yakovenko is a senior engineering leader with over ten years of experience building high-performing teams, solving complex technical challenges, and driving quality-driven outcomes. Currently serving as an Engineering Manager at Toptal, Serhii specializes in platform initiatives and modern software development practices. He has successfully spearheaded company-wide improvements in engineering performance by integrating AI-powered systems into core developer infrastructure. Serhii is passionate about balancing technical excellence with team well-being, advocating for a collaborative approach where AI acts as a force multiplier for engineering organizations. His work focuses on scaling engineering standards while maintaining speed, trust, and long-term sustainability in large-scale environments. Throughout his career, he has been dedicated to creating work environments where teams feel empowered to learn, grow, and innovate, ensuring that emerging technologies like generative AI are deployed as robust, production-grade infrastructure rather than experimental tools.
Lead AI Research Scientist...
Lead AI Research Scientist X, The Moonshot Factory, United States
Divya Choudhary is an Artificial Intelligence researcher and industry leader with over a decade of experience architecting cutting-edge solutions for complex global challenges. Currently driving breakthrough innovations at X, The Moonshot Factory, her expertise spans deep learning, computer vision, and generative AI systems. Divya excels at cross-pollinating technical breakthroughs across diverse industrial domains, including e-commerce analytics, logistics, real estate, legal and health intelligence. A prominent contributor in the global AI community, she serves as a reviewer and editor for premier conferences such as NeurIPS, ICML, CVPR etc. She is a speaker on large language models and advanced computing, presenting at international stages like IJCAI and PyCon. Melding high-impact tech leadership with a holistic perspective, Divya is also a certified yoga instructor who advocates for mindfulness in high-performance environments and champions diversity in STEM. Her work consistently moves the needle in the world of AI.
Director of AI at Plexus, Spain
Director of AI at Plexus, Spain
With more than 15+ years in the software ML/DL (AI) engineering industry, Ignacio served as data scientist and machine learning engineer for almost 10 years and 5 years managing big teams in the C-level. He has a degree in Physics with a master in machine learning and AI from the university of Columbia and served in the finance, biotechnology and telco industries mainly. He has a strong technical background in deep reinforcement learning and probabilistic deep learnings and deploying scalable MLOps/LLOps infrastructures.
Head of Engineering at NTT DATA UK&I
Head of Engineering at NTT DATA UK&I
Catalin Stoiovici is an engineering leader with more than 20 years of experience building software and the teams that ship it. He has scaled engineering practices from tens to hundreds of people and led architects and engineers across financial services, insurance and consulting, including senior engineering roles at J.P. Morgan and Elsevier and leadership of a major UK consulting engineering practice. His work focuses on developer productivity, engineering operating models and the impact of AI across the software development lifecycle. He writes and speaks regularly on these themes and coaches technology leaders, from CTOs to Heads of Engineering, on building high-performing teams.
Founder, Her and AI
Founder, Her and AI
Tara M. Batemon is an AI Confidence Strategist, educator, and learning leader dedicated to helping individuals and organizations adopt artificial intelligence with clarity, confidence, and purpose. With over 15 years of experience in learning and development, instructional design, and learner engagement, she specializes in translating complex AI concepts into practical, human-centered strategies that empower people to thrive in the age of AI. Tara is the founder of Her and AI, a media entity that equips women over 40 with the confidence to learn, apply, and lead with AI through workshops, digital learning experiences, AI empowered systems and community. She is also the creator of the L.E.A.R.N. Framework™, a practical approach to building lasting AI confidence through intentional learning and real-world application. A sought-after speaker and facilitator, Tara is passionate about making AI accessible, meaningful, and transformational for learners, professionals, educators, and business leaders worldwide.
Technical Project Analyst, Hitachi
Technical Project Analyst, Hitachi
Rashi Dhenia is a data analyst and AI systems researcher whose work centers on building enterprise data infrastructure that is both powerful and accountable. At Hitachi Construction Machinery Americas, she designs enterprise-scale BI systems and data-driven decision frameworks supporting forecasting, pricing, and operational strategy across the business. Her research on AI-driven data storage and retrieval optimization is documented in a pending US patent application, on which she is first named inventor, alongside a granted UK Design Patent. Her published work spans more than 20 IEEE-indexed papers with over 125 citations, and she serves as an IEEE peer reviewer and editorial board member across multiple journals. She has judged data and AI competitions including AI ATL, RoboTech, Hacklytics, and the SWE Recognition Awards. A Purdue University graduate in Computer Engineering and Quantitative Economics, she is also a Women in Data Science Worldwide Ambassador, advocating for greater representation of women in data and AI globally.
Data Engineer/ Data Scientist...
Data Engineer/ Data Scientist, Sherwood Forest Hospital NHS Foundation Trust
Olayinka Jimoh is a Data Engineer and a Data Scientist whose career spans healthcare, startups, and data transformation initiatives with AI. Currently working within the NHS, he combines deep technical expertise with a unique multidisciplinary perspective gained from successfully transitioning across multiple professional roles throughout his career. This breadth of experience has enabled him to develop a strong understanding of how technology, people, and processes intersect to drive meaningful change. Olayinka is passionate about the practical application of Artificial Intelligence and Data Science to solve real-world challenges, particularly in healthcare. His work focuses on using data and AI to make healthcare better by turning complex information into clear insights, helping healthcare organisations make informed decisions, improve services, work more efficiently, and ultimately deliver better outcomes for patients. Having experienced the demands of both fast-paced startup environments and large public-sector organisations, he brings valuable insights into AI adoption, organisational change, and digital transformation. A strong advocate for the human side of AI, Olayinka believes that AI is not a replacement for expertise but an amplifier of capability. Drawing on his diverse background, he champions the power of transferable skills and demonstrates how AI can empower professionals to operate effectively across multiple disciplines
Senior Engineer, Arizona Publ...
Senior Engineer, Arizona Public Service (APS), London
Cassandra Rounds is a senior engineer with 15 years of experience in transmission and distribution engineering within the electric utility industry, spanning design, field operations, and risk analysis. Outside of standard work responsibilities, she conducts independent research applying machine learning to infrastructure verification problems, combining deep domain expertise in utility systems with applied skills in computer vision and graph-based modeling. Cassandra's work focuses on building explainable AI systems that bridge engineering documentation and field reality. She is particularly interested in the intersection of domain expertise and applied machine learning, and in developing tools that earn trust from the operational teams who must rely on them.
Principal Data Scientist...
Principal Data Scientist, Data Society Group, London
Yekaterina (Katya) Mijatovic is a Principal Data Scientist at Data Society Group in Washington, DC, leading technical teams with focus in scientific computing, machine learning, and AI applications. A data science generalist in the past, Katya has focused on the Energy and Utilities industry, developing custom solutions and data products with engineers and their business needs in mind. Her experience spans multiple programming languages and data science tools. Katya finds joy in cooking for her family and having guests over. She may or may not have gotten in over her head with some home improvement projects in the past. This year Katya has finally started taking ice skating lessons, it only took her 30 years to take the plunge.
Senior AI & Microsoft365 Consult...
Senior AI & Microsoft365 Consultant, Onex Group, Poland
Natalia Kuroś is a Senior AI Consultant helping organizations turn AI ambitions into real business outcomes. She specializes in Microsoft 365 Copilot, AI agents, digital workplace transformation, and Adoption & Change Management, combining technical expertise with a strong focus on people and business value. Over the past several years, Natalia has supported organizations across industries in preparing their data, governance, processes, and employees for the AI era. She is particularly passionate about helping leaders answer one critical question before any AI initiative begins: why do you need this tool? Her work focuses on ensuring that technology adoption is driven by business goals and supported by the people who will use it. Natalia believes successful AI transformation is never just about switching on a solution. It's about enabling people, processes, and technology to evolve together.
CEO & Founder, Media Stream AI...
CEO & Founder, Media Stream AI Limited (MSAI), UK
Christopher Kenna is a British entrepreneur, military veteran, and Founder & CEO of Media Stream AI Limited (MSAI), a UK-based sovereign artificial intelligence company focused on developing large-scale AI infrastructure and proprietary AI technologies. Christopher leads MSAI’s development of the MOTHER AI ecosystem, including MOTHER LLM, MOTHER CORE and IntuiTV, an AI-powered broadcast and content platform. He is also driving the development and deployment of next-generation AI data centres across the UK, designed to support hyperscale GPU computing and the growing demand for high-performance AI infrastructure. Through MSAI, Christopher is focused on building sovereign AI capability, combining advanced compute infrastructure, proprietary models and real-world AI applications.
Chief Quantum & AI Strategy...
Chief Quantum & AI Strategy Officer Open AI/AI Office, Spain
Frank Moreno is an AI governance specialist and a leading voice in responsible artificial intelligence. He is a member of the OpenAI Expert Network and serves on the Chapter 2 Commission on Algorithmic Compliance and Transparency at the European Artificial Intelligence Office in Brussels. As the creator of the SAFE AI governance framework, Frank focuses on building secure, auditable and trustworthy AI systems for enterprise environments, enabling organizations to adopt advanced AI technologies with confidence and regulatory alignment. He is the founder of QuantumAIHub Institute (QAI) and director of TCQH, where he leads initiatives on AI adoption, quantum AI convergence, and executive education. Frank works with public institutions, global companies and innovation ecosystems to design AI strategies, assess systemic risks and implement governance architectures for autonomous agents and multimodal models. He is an international keynote speaker and advisor, helping leaders transform their organizations through responsible, future ready AI.
CS Research Engineer, Directorate...
CS Research Engineer, Directorate of Research & Development, Algeria
Leila Manel Khlidj is a Research Engineer studying trustworthy Artificial Intelligence, data collection, and high-availability systems. Throughout her professional career at the Computer Science R&D Center, she has focused on distributed web intelligence, architecting multi-node frameworks to optimize high-volume data crawling and resilient collection. Bridging systems engineering with advanced AI research, her recent work heavily investigates Deepfake detection utilizing GRU and Transformer architectures. Notably, Leila has implemented advanced Explainable AI (XAI) modules to visualize feature importance and ensure the transparency and interpretability of temporal video features. Leila's expertise also extends to systems engineering, and she actively contributes to the academic community, recently co-authoring the conference paper “A Multi-Metric Scoring Framework for Resilient Microservice Orchestration in Kubernetes” at CLOSER 2026.
Founder, Data Privacy and AI
Founder, Data Privacy and AI
Ina Schöne is a certified ISO/IEC 42001:2023 Lead Auditor for Artificial Intelligence Management Systems. She is an AI Officer/Trainer, AI Business Professional, AI Design Master & Prompt Engineer, TÜV Rheinland-certified data protection officer and data protection auditor (GDPR). She teaches in the "Digital Product Management" program at Nordhausen University of Applied Sciences and is a lecturer in the "AI Manager" and "AI Officer" courses for the German Chamber of Commerce and Industry and “AI-Auditors ISO/IEC42001”. She has been a supporter of the OECD Working Group and contributed to the "G7 Reporting Framework – Hiroshima AI Process (HAIP) International Code of Conduct for Organizations Developing Advanced AI Systems" with her report, thus achieving the first global milestone for "AI Transparency" together with 18 other companies. With a holistic understanding of the implementation of the new legal requirements for the digital world (GDPR, EU AI Act, Data Act, NIS II, CRA), she advises at the international level, in the national SME sector, and at the municipal level.
Founder & CEO, Binariks
Founder & CEO, Binariks
Oleh Petrivskyy is Founder & CEO of Binariks, a software engineering company that builds products for healthcare, life sciences, fintech, and insurance. He has nearly three decades in software engineering and delivery leadership, from Project Manager to SVP of Global Delivery at SoftServe, and over a decade as Founder & CEO of Binariks. His teams build AI-driven, data-heavy products in regulated environments, including clinical decision support, EHR integrations, and interoperability layers on Epic, FHIR, and HL7. Through Binariks' COMPASS AI-SDLC framework, a seven-phase approach where AI accelerates delivery while people keep full control of the critical decisions, he shows how humans and AI work together, from decision support at the point of care to AI-assisted software delivery. Oleh writes and speaks regularly about why the collaboration model, not the model alone, decides whether AI is trusted and adopted. He holds an Executive MBA and an MS in Computer Science
Directorate of Research and Development, Algeria
Directorate of Research and Development, Algeria
Dounya Mokedemi is an Artificial Intelligence researcher, holding both a State Engineer degree in Computer Science and a Master’s in Artificial Intelligence and Data Science. She specializes in Natural Language Processing (NLP) and ensuring the factual reliability of Large Language Models (LLMs). Her current research focuses on fine-grained hallucination detection through SelfVerifyTriplet, a framework leveraging weighted semantic triplets to enhance factual consistency in AI-generated content. She has participated in multiple collaborative projects integrating AI, further strengthening her expertise in practical applications of advanced AI systems. Her interests extend to explainable AI, knowledge extraction, and reasoning-based evaluation of LLMs. She aims to develop next-generation generative models capable of self-assessment and verifiable reasoning independently of external databases. Through her research and projects, Dounya is committed to advancing trustworthy and transparent AI for practical and societal benefit.
Veritas Fox, UK
Veritas Fox, UK
Hilary is the CTO of Veritas Fox, a company that aims to help companies comply with AI without slowing them down. He has over a decade of experience working in data, in both start-ups as well as larger organisations such as Meta. He has covered all data roles from data engineering to data science and management, and has set up high-performing data platforms and teams several times over.
Academic Director, Next...
Academic Director, Next Generation Digital Strategy Programme, London Business School, UK
I am an expert in how the adoption of digital technology changes the competitive advantage of businesses. I work across product, go-to-market, and operations building integrated sets of strategic choices to use technology to win against the competition. My work is rooted in my research into digital platform economics and translates into the flagship Next Generation Digital Strategy programme at London Business School.
Co-founder and CEO, Prescient...
Co-founder and CEO, Prescient Labs
Andreas Pfeiffer is Co-founder and CEO of Prescient Labs, a process intelligence company helping organisations and consultancies identify where AI and automation can create measurable operational value. Prescient Labs combines structured operational data with unstructured data from stakeholder interviews and other sources to build detailed views of how work is actually performed, uncovering bottlenecks, inefficiencies and opportunities for transformation. Before founding Prescient Labs, Andreas worked in TMT private equity advisory at Orbit Partners and at AWS. He holds an MSc in Finance from the University of St Andrews and focuses on the intersection of data, AI and business transformation.
Co-founder and CEO, Luca...
Co-founder and CEO, Luca Labs, Inc.
Eric Bidinger is co-founder and CEO of Luca, the AI operating system for e-commerce brands, live today with clients across North America and Europe. Luca reconciles a brand's commerce, marketing, finance and banking data into one reasoning layer, then funds the opportunities it finds — intelligence and capital in a single system, which neither an analytics tool nor a lender can offer. Mastercard backed Luca before any venture investor did: an innovation grant, then a place inside two merchant programmes in Europe and the US. He spent seventeen years in private equity, making partner, after M&A at Goldman Sachs — a career underwriting companies on far worse data than a Shopify store produces in a week. He trained at Stanford in aerospace engineering and operations research, applying neural networks to aircraft optimisation twenty-five years ago. He has also co-founded a hydrogen-electric aircraft company and built an eco-resort in Mozambique entirely by hand.
Founder & CEO, Kojable
Founder & CEO, Kojable
Piush Vaish is the Founder and CEO of Kojable, an AI Answer Alignment platform that helps companies understand and improve how ChatGPT, Claude, Gemini, and Perplexity describe, compare, and recommend them. A data scientist and repeat founder with more than 10 years of experience, Piush has built and brought AI, machine learning, and data products to market across cybersecurity, healthcare, travel, and AI search. Before founding Kojable, he held senior data science and machine learning roles at a high-growth cybersecurity company, a digital health unicorn, and one of the world's largest healthcare organisations.His work sits at the intersection of technology and product development, with a strong focus on experimentation and turning new AI capabilities into products that solve real customer problems. Piush regularly publishes original research and practical analysis on AI search, retrieval, citations, and Generative Engine Optimisation. Much of his work looks at how AI systems shape the way people discover, compare, and choose brands, products, and vendors. He also speaks about the growing role of AI recommendations in B2B buying journeys and what that means for product and marketing teams.
👋 Welcome to the 4th Data Science & AI Summit!
1–2 October 2026 | London, UK
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