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<\/div><\/div>[\/vc_column][\/vc_row][vc_row full_width=”stretch_row” bg_type=”bg_color” bg_color_value=”#ededed” css=”.vc_custom_1681913912294{padding-top: 30px !important;padding-bottom: 30px !important;}”][vc_column][vc_row_inner][vc_column_inner][vc_column_text css=””]<\/p>\n
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EURECAT<\/strong><\/a> | LinkedIn<\/a><\/strong><\/p>\n [\/vc_column_text][\/vc_column_inner][vc_column_inner width=”3\/4″][vc_empty_space] [\/vc_column_text][vc_column_text css=””][\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row][vc_column][vc_empty_space] AIZON<\/a><\/strong> | LinkedIn<\/a><\/strong><\/p>\n [\/vc_column_text][\/vc_column_inner][vc_column_inner width=”3\/4″][vc_empty_space] Toni is the co-founder and CSO of Aizon, an AI SaaS company for the pharmaceutical and biotech industries. He is a board member of PDA Regulatory Affairs and co-chair of the Advanced Manufacturing PDA Interest Group. He teaches AI courses at the Universitat Rovira i Virgili (URV) and serves as a subject matter expert for the United Nations on AI in the life sciences. He is the author of numerous publications in the pharmaceutical field and holds a dozen international patents. Toni holds a degree in Physics, a PhD, a Master’s degree in Information and Knowledge Society, and a postgraduate qualification in Quality Systems for pharmaceutical manufacturing and process research.<\/p>\n<\/div>\n<\/div>\n [\/vc_column_text][vc_empty_space] <\/div><\/div>[vc_empty_space][vc_column_text css=””][\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row full_width=”stretch_row” bg_type=”bg_color” bg_color_value=”#ffffff” css=”.vc_custom_1683718841357{padding-top: 30px !important;padding-bottom: 30px !important;}”][vc_column][vc_row_inner][vc_column_inner width=”1\/4″][vc_empty_space][vc_single_image image=”71968″ img_size=”full” css=””][vc_empty_space][vc_column_text css=””]<\/p>\n ESTEVE HEALTHCARE<\/b><\/a> | LinkedIn<\/a><\/strong><\/p>\n [\/vc_column_text][\/vc_column_inner][vc_column_inner width=”3\/4″][vc_empty_space] Eva Aymam\u00ed Gili has more than 20 years of experience in the technology sector. She is currently Digital Employee & Customer Experience Manager at ESTEVE, where she leads digital strategies aimed at improving the experience of both employees and customers. Her work focuses on optimizing the use of tools and processes for sales and marketing teams, driving operational efficiency and ensuring the successful adoption of digital solutions across the organization.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n [\/vc_column_text][vc_empty_space] <\/div><\/div>[vc_empty_space][vc_column_text css=””][\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row full_width=”stretch_row” bg_type=”bg_color” bg_color_value=”#ffffff” css=”.vc_custom_1683718841357{padding-top: 30px !important;padding-bottom: 30px !important;}”][vc_column][vc_row_inner][vc_column_inner width=”1\/4″][vc_empty_space][vc_single_image image=”71785″ img_size=”full” css=””][vc_empty_space][vc_column_text css=””]<\/p>\n INETUM<\/b><\/a>\u00a0| LinkedIn<\/a><\/strong><\/p>\n [\/vc_column_text][\/vc_column_inner][vc_column_inner width=”3\/4″][vc_empty_space] He holds a degree in Management Information Systems Engineering from the Universitat Rovira i Virgili and has nearly two decades of experience in the development, implementation, management, and maintenance of complex systems, as well as in organizational and business development. He is currently Manager of the Generative AI Center of Excellence at Inetum for Iberia and Latin America. His role focuses on business transformation, process optimization, and the development of innovative solutions through the use of disruptive technologies such as generative AI.<\/p>\n<\/div>\n<\/div>\n [\/vc_column_text][vc_empty_space] <\/div><\/div>[vc_empty_space][vc_column_text css=””][\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row full_width=”stretch_row” bg_type=”bg_color” bg_color_value=”#ffffff” css=”.vc_custom_1683718841357{padding-top: 30px !important;padding-bottom: 30px !important;}”][vc_column][vc_row_inner][vc_column_inner width=”1\/4″][vc_empty_space][vc_single_image image=”71788″ img_size=”full” css=””][vc_empty_space][vc_column_text css=””]<\/p>\n EMBURSE<\/a><\/strong> | LinkedIn<\/a><\/strong><\/p>\n [\/vc_column_text][\/vc_column_inner][vc_column_inner width=”3\/4″][vc_empty_space] Marc Oliveras is vice president of engineering at Emburse, where he leads mobile and AI development teams across the United States, Canada, Europe, and India. He specializes in turning artificial intelligence into tangible business value by accelerating product innovation, improving team efficiency, and delivering scalable solutions.<\/p>\n<\/div>\n<\/div>\n [\/vc_column_text][vc_empty_space] <\/div><\/div>[vc_empty_space][vc_column_text css=””][\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][\/vc_section]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":" AI systems must be designed to incorporate regulatory compliance requirements into their architecture from the outset.<\/p>\n","protected":false},"author":11,"featured_media":71577,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[654],"tags":[],"class_list":["post-72290","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-22-octubre-en-2","category-654","description-off"],"yoast_head":"\nXAVIER DOMINGO<\/h2><\/div>
Director of the Applied Artificial Intelligence (AAI) unit, Eurecat<\/strong><\/h4>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n<\/div>\n<\/div>\n
Speakers:<\/h2><\/div>
TONI MANZANO DO\u00d1ABEITIA<\/h2><\/div>
CSO and co-founder, Aizon<\/strong><\/h4>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n<\/div>\n<\/div>\n
AI applied to pharmaceutical manufacturing: when regulation is the main driver<\/h4><\/div>
The pharmaceutical industry faces constant tension between the pressure to adopt AI and the obligation to maintain the controls required by GxP regulations. Aizon has developed a platform that embeds the entire model lifecycle within an auditable framework: every data point has provenance, every prediction is traceable, and every model version is reproducible. The architecture can be deployed on on-premises infrastructure or European cloud environments, ensuring true technological sovereignty. Results include a 20\u201340% reduction in deviations, faster batch release, and up to a 50% reduction in validation effort, without compromising the safeguards that protect patients.<\/h4>\n
EVA AYMAM\u00cd GILI<\/h2><\/div>
Head of customer and employee experience, Esteve Healthcare<\/h4>\n
MIA, ESTEVE's AI agent portal<\/h4><\/div>
This presentation describes a corporate AI agent portal, accessible through Microsoft Teams and the digital workplace, that enables the creation and use of AI agents in a scalable and governed way. The project includes generic, contextual, and specialized agents, with role- and audience-based access control, as well as usage traceability. It also features a use case in Chemical Reagents and incorporates security, governance, and usage monitoring mechanisms, ensuring a controlled, efficient environment aligned with business needs.<\/h4>\n
MIKEL URIZAR<\/h2><\/div>
Manager of the Generative AI Center of Excellence for Iberia and Latin America, Inetum<\/h4>\n
Craft: IA Generativa sobirana i auditable<\/h4><\/div>
Every organization adopting generative AI faces the same tension: capture its efficiency without losing control of data, costs, and compliance. Too often that means vendor lock-in. Craft is a governance and orchestration framework that lets you own your AI ecosystem\u2014whether you’re a regulated enterprise or a public administration. It runs fully on-premise or air-gapped, swaps any model behind a single gateway, and enforces compliance as code: automated bias and PII gates plus immutable audit logs, auditable by design. The result is sovereignty without sacrificing speed: new use cases in days, with continuous control of cost, risk, and regulation.<\/h4>\n
MARC OLIVERAS XIOL<\/h2><\/div>
Vice president of engineering and CTO at Captio, Emburse<\/strong><\/h4>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n<\/div>\n<\/div>\n
The AI Revolution: Eliminating Fraud and Human Error Through Intelligent Expense Management<\/h4><\/div>
What if AI could audit an expense before it is even approved?<\/h4>\n
Corporate expense management still relies heavily on manual reviews and sample-based controls, leaving room for fraud, human error, and compliance breaches.<\/h4>\n
In this session, we will explore how Emburse Assurance leverages computer vision, AI models, and contextual decision engines to audit 100% of transactions in real time.<\/h4>\n
Through a real-world production case, we will discover how AI is transforming the finance function by detecting anomalies, enforcing policies, and reducing risks before they become real problems.<\/h4>\n