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www.aizon.ai<\/a><\/strong><\/p>\n [\/vc_column_text][\/vc_column_inner][vc_column_inner width=”3\/4″][vc_empty_space] <\/div><\/div>[vc_column_text css=””]Toni is the co-founder and CSO of Aizon, a cloud company that provides an AI SaaS platform for the Biotech and Pharma industry. He is member of the PDA Regulatory Affairs and Quality Advisory Board, active collaborator in the AI initiative for AFDO and he teaches AI subjects at the University ( URV and OBS), expert of the United Nations in AI subjects for Life Sciences. He has written numerous articles in the Pharma field and holds a dozen international patents related to the encryption, transmission, storage and processing of large volumes of data for regulated environments in the cloud. Toni is Physicist, Master in Information and Knowledge Society and post graduated in quality systems for manufacturing and research pharmaceutical processes.[\/vc_column_text][vc_empty_space] intelygenz.com<\/a><\/strong><\/p>\n [\/vc_column_text][\/vc_column_inner][vc_column_inner width=”3\/4″][vc_empty_space] <\/div><\/div>[vc_column_text css=””]Vasja has an academic background in life sciences, having studied Molecular Biology at the University of Bath and completed his PhD and postdoc in Developmental Neurobiology at the University of Cambridge, studying the developmental processes involved in the construction of biological neural networks. Vasja began his career in data science in 2016, first completing the S2DS data science training programme in London (year of 2017), and working in Data Science at a consulting company (Tessella) from 2018-2019. He has been with Intelygenz since 2019, working on a diverse variety of projects spanning natural language processing, computer vision and image generation. In the last 18 months, he has worked for a client in the fintech industry helping to construct a solution for detecting and preventing fraudulent transactions in real time.[\/vc_column_text][vc_empty_space] www.cvc.uab.cat<\/a> | Linkedin<\/a><\/strong><\/p>\n [\/vc_column_text][\/vc_column_inner][vc_column_inner width=”3\/4″][vc_empty_space] <\/div><\/div>[vc_column_text css=””]Nuria Mart\u00ednez is responsible for communication and marketing at the Computer Vision Centre (CVC). She holds a degree in Journalism and a Master’s degree in Corporate and Institutional Communication Management from the Universitat Aut\u00f2noma de Barcelona. Since 2017, she joined the communication department of the CVC, where she has coordinated several projects of citizen science, dissemination and social impact of artificial intelligence, such as ExperimentAI or IA\u00e8ticaBCN. Prior to joining the CVC, she collaborated in several media such as the magazines S\u00e0piens and Descobrir.[\/vc_column_text][vc_empty_space][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][\/vc_section]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":" En aquesta sessi\u00f3 veurem els darrers desenvolupaments i exemples de t\u00e8cniques que aprofundeixen en l’explicabilitat de la IA amb l’objectiu d’avan\u00e7ar cap a un \u00fas fiable i cada cop menys opac.<\/p>\n","protected":false},"author":4,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[522],"tags":[],"class_list":["post-65018","post","type-post","status-publish","format-standard","hentry","category-uncategorized","category-522","description-off"],"yoast_head":"\nTONI MANZANO<\/h2><\/div>
CSO and co-founder, Aizon<\/h4>\n
AI in biopharmaceuticals: when model explainability becomes a requirement<\/h4><\/div><\/div>[vc_empty_space][vc_column_text css=””]The pharmaceutical industry has always been very conservative, partly due to the regulation that requires high levels of quality in the final product. But the implementation of AI in industrial processes requires robustness and high availability and for this reason, the cloud is presented as a powerful alternative to respond to industrial requirements. On the other hand, the existing regulation does not accept the interpretation of AI models as “black boxes” and the whole process must be validated. The use of standards such as ONNX for the management of AI models in the cloud has been key to aligning regulatory requirements with the high availability of model outputs in industrial environments.[\/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=”65987″ img_size=”full” css=””][vc_empty_space][vc_column_text css=””]<\/p>\n
VASJA URBANCIC<\/h2><\/div>
Lead Data Scientist, Intelygenz a VASS Company<\/h4>\n
Fraud AI: An effective and interpretable solution for fraud detection<\/h4><\/div><\/div>[vc_empty_space][vc_column_text css=””]We have implemented a highly effective fraud detection solution for a major fintech institution. The technical challenges involved have included a requirement to cover a high volume of transactions (millions per day, up to 150 per second) at a very low latency in order to enable the client to use the solution for fraud prevention in real time at the time of transaction. Implementing this solution required pre-computing a large number of interpretable features based on previous transactions of the client accounts and merchants involved in the transaction. In addition, it was very important that the solution is not presented as a black box but offers prediction explainability i.e. the importance of individual contributing features, not only on the global (dataset-wide) scale but also on the local scale, specific to each transaction. For that reason, we employed a combination of a high-performing gradient-boosting tree-based algorithm and post-hoc interpretability methods based on SHAP values.[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row][vc_column][vc_empty_space]
Presents<\/h2><\/div>
NURIA MARTINEZ<\/h2><\/div>
Communication & Marketing Manager, CVC<\/h4>\n