Fernando Matos - President at DSPA
President at DSPA
Luís Carriço - Dean at FCUL (Faculty of Sciences University of Lisboa)
Dean at FCUL (Faculty of Sciences University of Lisboa)
TBC - DSPA Guest
DSPA Guest
Guilherme Ramos Pereira - Executive Director at DSPA
Executive Director at DSPA
Nuno Henriques - Senior Manager Data Strategy & Advanced Analytics at NTT DATA Portugal
Senior Manager Data Strategy & Advanced Analytics at NTT DATA Portugal
José Zenóglio de Oliveira - Data & AI Engineer at CAPGEMINI ENGINEERING
Vânia Tavares - Technical Authority for the Life Sciences Industry | Senior Data & AI Engineer at CAPGEMINI ENGINEERING
Data & AI Engineer at CAPGEMINI ENGINEERING
Technical Authority for the Life Sciences Industry | Senior Data & AI Engineer at CAPGEMINI ENGINEERING
Pedro Gouveia - Breast Surgeon & Medical XR Researcher and Futurist at CHAMPALIMAUD CLINICAL CENTER
Breast Surgeon & Medical XR Researcher and Futurist at CHAMPALIMAUD CLINICAL CENTER
João Sousa - Chief Digital Transformation & Innovation Officer at IPG Mediabrands Portugal
Chief Digital Transformation & Innovation Officer at IPG Mediabrands Portugal
Pedro Costa - Defense Liaison Officer at Portuguese Space Agency
Defense Liaison Officer at Portuguese Space Agency
Christian Rôças - CEO at FLINT.ME // Former CEO at PORTA DOS FUNDOS
CEO at FLINT.ME // Former CEO at PORTA DOS FUNDOS
Yunus Akgün
Gonçalo Caseiro - Senior Executive at KPMG
Senior Executive at KPMG
João Tiago Martins - Data Analytics & AI Senior Manager at NOESIS
Data Analytics & AI Senior Manager at NOESIS
Henrik Norhøj Nielsen - Regional Data Cloud Strategy and Enterprise & Information Architecture at Snowflake
Regional Data Cloud Strategy and Enterprise & Information Architecture at Snowflake
Pedro Gomes Mota - Chief Data Officer at Grupo Brisa
Nuno da Mata Almeida - Business Development Director for Data & Analytics, Big Data & Cloud at TIMESTAMP
Chief Data Officer at Grupo Brisa
Business Development Director for Data & Analytics, Big Data & Cloud at TIMESTAMP
João Jarego - Senior Manager at CLOSER CONSULTING
Pedro Quaresma - IT Unit Manager at MILLENNIUM BCP
Senior Manager at CLOSER CONSULTING
IT Unit Manager at MILLENNIUM BCP
Luis Gregório - Technical Partner Architect at IBM
Pablo Carlier - Head of Data Analytics & AI Sales Iberia at GOOGLE CLOUD
Manuel Dias - National Technology Office & Executive Board Member at MICROSOFT
Nuno Araújo (Moderator) - VP at DSPA
Technical Partner Architect at IBM
Head of Data Analytics & AI Sales Iberia at GOOGLE CLOUD
National Technology Office & Executive Board Member at MICROSOFT
VP at DSPA
Ricardo Gil - Senior Manager, Analytics & Cognitive at Deloitte
Nuno Loureiro Santos - Senior Manager at Deloitte
Senior Manager, Analytics & Cognitive at Deloitte
Senior Manager at Deloitte
Luís Alexandre Correia - President of the Digital Services Coordinator Working Group at ANACOM (Autoridade Nacional de Comunicações)
President of the Digital Services Coordinator Working Group at ANACOM (Autoridade Nacional de Comunicações)
João Lopes - Head of Analytics at SL BENFICA
Bruno Lourenço - Sports Data Science at SL BENFICA
Head of Analytics at SL BENFICA
Sports Data Science at SL BENFICA
Ricardo Galante - Principal Analytics & Artificial Intelligence Advisor at SAS
Principal Analytics & Artificial Intelligence Advisor at SAS
Marta Capelo Gaspar - Director Competition and Regulatory Affaris at CTT - CORREIOS DE PORTUGAL
Manuel Cabugueira - Board Member at ANACOM (Autoridade Nacional de Comunicações)
Inês Antas de Barros - Partner at VIEIRA DE ALMEIDA & ASSOCIADOS
Carlos Moura - CIO at BANCO DE PORTUGAL
Director Competition and Regulatory Affaris at CTT - CORREIOS DE PORTUGAL
Board Member at ANACOM (Autoridade Nacional de Comunicações)
Partner at VIEIRA DE ALMEIDA & ASSOCIADOS
CIO at BANCO DE PORTUGAL
Nuno Moutinho - Assistant Professor & of Pedagogical Innovation at UP - UNIVERSITY OF PORTO
Assistant Professor & of Pedagogical Innovation at UP - UNIVERSITY OF PORTO
Fernando Matos - President at DSPA
President @ DSPA
Inês Pacheco - Head of Pre-Sales at CAPGEMINI ENGINEERING
Pedro Reis - Director and Head of Data & AI at CAPGEMINI ENGINEERING
Head of Pre-Sales at CAPGEMINI ENGINEERING
Director and Head of Data & AI at CAPGEMINI ENGINEERING
Ivone Silva - Operating Room Services Director at CHUP (Centro Hospitalar Universitário do Porto)
Operating Room Services Director at CHUP (Centro Hospitalar Universitário do Porto)
Ricardo Ferreira - Client Service Director at UM WORLDWIDE
Client Service Director at UM WORLDWIDE
Nuno Neves - Professor in the Department of Computer Science at FCUL (Faculty of Sciences University of Lisboa)
Professor in the Department of Computer Science at FCUL (Faculty of Sciences University of Lisboa)
José Varela - AI Evangelist at NTT DATA Portugal
AI Evangelist at NTT DATA Portugal
Pedro Dias - Data & AI Associate Partner at KPMG
Data & AI Associate Partner at KPMG
Kelwin Fernandes - CEO at NILG.AI
CEO at NILG.AI
Joana Ferreira - Data and AI Manager at TIMESTAMP
Data and AI Manager at TIMESTAMP
João Pinto - Dean at CATÓLICA PORTO BUSINESS SCHOOL // Co-leader at INSURE.HUB
Dean at CATÓLICA PORTO BUSINESS SCHOOL // Co-leader at INSURE.HUB
Leid Zejnilovic - Academic Director at WiTH AFRICA NOVA SBE and Assistant Professor & Co-Founder & Academic Co-Director at DATA SCIENCE KNOWLEDGE CENTER NOVA SBE
Academic Director at WiTH AFRICA NOVA SBE and Assistant Professor & Co-Founder & Academic Co-Director at DATA SCIENCE KNOWLEDGE CENTER NOVA SBE
Pedro Gomes Mota - Chief Data Officer at Grupo Brisa
Pedro Mira Vaz - Chief Data & Analytics Officer at NOVO BANCO
Ricardo Jorge Gonçalves - Head of Center of Artificial Intelligence at FIDELIDADE SEGUROS
Miguel Moreira da Silva - Managing Partner at WIIMER
Fernando Matos - President at DSPA
Chief Data Officer at GRUPO BRISA
Chief Data & Analytics Officer at NOVO BANCO
Head of Center of Artificial Intelligence at FIDELIDADE SEGUROS
Managing Partner at WIIMER
President @ DSPA
Guilherme Ramos Pereira - Executive Director at DSPA
Executive Director at DSPA
The way of the data with human and artificial intelligence (AI) towards responsible innovation. The Generative AI (GenAI) moment, currently thriving on a fast pace shaking everyone. Is it hype-only or is an innovative change happening right now? What are the benefits, opportunities, challenges, and concerns? A glimpse of a brave new world is now possible, one where the massive amount of data has triggered a race towards algorithms and solutions: from new drug and material discoveries to a more sustainable business.
Regulatory pressures make compliance a costly and error-prone reality for businesses. Generative AI offers solutions that automate, simplify workflows, and generate documents. However, dispersed data still requires manual effort. The "Compliance.ai" solution emerges to address this issue. How can we effectively automate compliance processes? What are the challenges in validating AI systems in production environments? And how do we envision the future development of tools that will transform manual labor-intensive industrial workflows in conjunction with hybrid AI?
From the late 90’s to today’s IA usage, IPG Mediabrands as always set new frontiers when we talk about Technology and Data for Marketing and Communications. We are proud to be a product of several evolutions, and our history of creative and overachievement to our clients. An inspirational voyage into the Marketing and Coms service world.
The Portuguese Space Agency has been leveraging machine learning to develop several innovative projects. These projects will be detailed in an upcoming presentation by the Agency.
Artificial intelligence (AI) is rapidly transforming the healthcare landscape, offering unprecedented opportunities to improve patient outcomes, enhance efficiency, and reduce costs. From diagnosis and treatment to drug discovery and personalized medicine, AI is revolutionizing every aspect of healthcare.
In a world where technology and data are evolving at an unprecedented pace, public administrations face the growing challenge of not only responding to citizens' needs but also predicting and anticipating them. This presentation will explore how digital transformation can empower governments to foresee public demands, while examining both the opportunities and the ethical concerns related to this new era. Can public administration truly become predictive?
Are you curious to know how AI can revolutionize your reality? Dive into "Digital Spells: Revealing the Magic of Generative AI" and discover how this captivating technology reshapes creativity and efficiency. Guided by the 80-20 Pareto Principle, we'll reveal how to achieve extraordinary results with simplified effort.
Come and discover the key to unlocking the digital transformation. Join us as we dive into this magical, emerging landscape and discover together the future of creativity and innovation with generative AI!
Snowflake Cortex AI is an intelligent, fully managed service that hosts and serves industry-leading LLMs. Users enjoy a serverless experience by simply writing a SQL/Python function and pointing it to the desired data. This enables seamless data processing with LLMs, eliminating the need for complex integrations or infrastructure management. Join this session to learn how to:
In the fast-paced world of technology, it’s easy to feel overwhelmed by the constant stream of new trends in Data & AI. Success often lies in looking beyond the buzz to develop a thoughtful strategy that truly meets our organization's needs. This journey involves unlearning outdated practices, embracing a mindset of continuous learning, and ensuring that Data & AI initiatives align with genuine business objectives.
In this session, we will share insights from the journey through the evolution of the various 'ages' of Data & AI, with the aim of contributing to our collective understanding of how to create a sustainable vision and strategy. We will discuss the vital importance of fostering people-centric Data & AI literacy, aligning initiatives with business goals, and building a strong foundation of technology, governance, and culture that evolves alongside business value delivery.
Together, we will explore how to create a resilient and adaptable Data & AI strategy that cuts through the noise and delivers lasting value.
Generative AI became pervasive in the aftermath of the ChatGPT public release. Generalized experimentation followed, both at personal and corporate level. The later is the focus of this session, going beyond the mystification and the silo-based experimentation. Harnessing the power of generative AI at the organizational, implies delivering value at scale, transforming business operations and driving efficiency gains. Along the way, the complexity vs added value of the use cases should be assessed and prioritized. Some real world examples will be shared and a guest will share his organization's journey in a field where Generative AI is delivering game changing gains.
This panel will bring together leading voices from three major technology companies to discuss their perspectives on the future of technology. The panelists will explore how emerging technologies are expected to evolve and disrupt various sectors, including their potential impacts on society, business processes, and the labor force. They will share insights on the latest innovations, with a particular focus on (generative) artificial intelligence, and how these advancements could reshape industries and everyday life. The discussion aims to provide a comprehensive understanding of the opportunities and challenges that lie ahead in the tech landscape.
Neste evento, discutiremos a questão "Can Generative AI make the impossible possible?" com uma ênfase particular no futuro da automação inteligente e na orquestração de processos utilizando Agentes e LLMs. Será desafiada a arte do possível com esta tecnologia e serão abordados casos reais, destacando-se tanto as oportunidades quanto os desafios apresentados por esta tecnologia emergente.
The increasing complexity and impact of AI systems necessitate a robust framework for responsible AI. In light of the EU AI Act, organizations face growing regulatory pressures to ensure fairness, transparency, and accountability in their AI models.
SAS Viya offers a comprehensive solution. Our framework empowers you to develop, validate, and deploy AI models with transparency, interpretability, and bias management. Explain your model decisions, identify and mitigate biases, and ensure compliance with regulations. Accelerate your AI journey while mitigating risks and unlocking the full potential of AI through responsible innovation.
The School of Economics and Management of the University of Porto is implementing a pilot project to integrate generative artificial intelligence into higher education, under a project funded by the Recovery and Resilience Plan (PRR). This initiative will be tested in several scientific areas and educational institutions in the North of the country, such as the University of Porto, University of Trás-os-Montes and Alto Douro and the Polytechnic Institute of Porto. About 500 students will start using a chatbot developed with generative artificial intelligence. In practice, in each curricular unit, the teacher can upload the necessary documents to create a knowledge base that can then be used by students.
The telecommunications industry has been a pioneer in leveraging artificial intelligence (AI) to enhance customer experiences, improve service quality, reduce churn, and optimize operations. AI, and more recently Generative AI (GenAI), have been playing a growing role of enabling proactive network maintenance and even expanding the business by unlocking new revenue streams through data monetization and innovative B2B offerings.
In this session we will discuss the role of AI in how anticipating and resolving network issues before they escalate can positively impact customer service experience, help creating new business opportunities, and ensuring smarter customer-centric network investments and operational efficiency.
Health innovations in the operating room are increasingly driven by the integration of digital surgery and artificial intelligence (AI), leading to the improvement of surgical procedures and outcomes. Digital surgery leverages advanced imaging, robotics, and AI algorithms to enhance precision, reduce human error, and improve patient safety. AI plays a crucial role in real-time decision support, predictive analytics, and personalized surgical planning, enabling more accurate and efficient interventions. These technologies are revolutionizing traditional surgical practices, paving the way for minimally invasive procedures and accelerating the adoption of data-driven strategies in the operating room. As a result, digital surgery and AI are redefining the future of healthcare by fostering innovation, improving surgical outcomes, and enhancing overall patient care.
The world of Data is evolving every day, and geolocation is and as been a reference for Data. With Geovision, a new powerful geolocation and geo-targeting tool that crosses different databases (sales, audience profiles, points of interest, outdoor inventory...), where IPG Mediabrands translates data into insights to optimize planning and activate based on qualified data across different media efficiency.
Federated learning (FL) is a decentralized machine learning technique that allows multiple entities to jointly train a model while preserving dataset privacy. However, its distributed nature has raised various security concerns, which have been addressed by increasingly sophisticated defenses. These defenses utilize a range of data sources and metrics to, for example, filter out malicious model updates, ensuring that the impact of attacks is eliminated.
This talk explores the feasibility of designing a generic attack method capable of installing backdoors in FL while evading a diverse array of defenses. Specifically, we focus on an attacker strategy called MIGO, which aims to produce model updates that subtly blend with legitimate ones. The resulting effect is a gradual integration of a backdoor into the global model, often ensuring its persistence long after the attack concludes, while generating enough ambiguity to hinder the effectiveness of defenses.
We built a solution for automating fish identification and tracking in 3 dams equipped with locks that film fish swimming upstream.
Through real-world examples, we'll offer practical lessons for tackling challenging aquatic environments with non-standard aspect-ratio, varying water quality, algae obstructions, and non-standard fish orientations. We'll also cover the integration of our model into the existing fish monitoring infrastructure.
By the end, you'll gain a comprehensive understanding of our end-to-end approach, from data collection to model deployment, and the valuable lessons learned along the way.
Technological technical debt represents significant costs in organizations from different sectors of activity, both in the OPEX dimension and in the time-to-market of Digital Transformation. In this session we will share how KPMG is supporting several organizations to accelerate the modernization of legacy applications, using cutting-edge technology and GenerativeAI.
Each tribe in the AI ecosystem speaks a different language, leading to misalignments in their objectives and priorities. Business teams outline initiatives with detailed scopes, which are then handed off to technical teams. Then, technical teams take their part and pile up with technical features deviating from the ultimate goal of any early-stage project: validation. Precious assets from the business are wasted, and, most importantly, the promise of an ever-improving business with AI is unfulfilled. This talk will show you the AI canvas, a lingua franca to align technical and business teams to fulfill their vision. By using the AI Canvas, organizations can eliminate communication barriers, ensuring that both teams concentrate on what truly matters to drive continuous business improvement through AI.
Unlock the power of customer insights with DKHub!
Imagine having a secret weapon that combines the precision of artificial intelligence with the richness of big data to create high-value personal profiles of your target customers. That's exactly what DKHub delivers!
DKHub is a product that uses data in a totally innovative manner, for predicting customer behaviour. It creates high-value personal profiles, basing its operation on artificial intelligence techniques, leveraging external data + customer data to discover the keys to navigation, purchasing, family and financial typology of your target customers. The data is geolocalized and enriched with a taxonomy categorized by reading the web content through an NLP engine, to enable for Digital Profile and buyer persona construction and analyse and predict Omni-channel behaviour patterns.
Ready to revolutionize your customer insights? Embrace the future of predictive analytics with DKHub - where data meets destiny!
The tourism and hospitality industries are at a crucial moment of transformation, driven by the rapid advancement of Artificial Intelligence (AI) and the unprecedented availability of data. As these sectors increasingly rely on data, AI is enhancing decision-making, improving customer experiences, optimizing operations, and spurring innovative business models. However, not all the environments are at the same level, as the emerging markets may face specific challenges. WiTH Africa addresses these challenges by offering customized data solutions, training in data-related subjects through local community partnerships, and impactful research on African tourism to a community of decision-makers from the public and private sectors, policymakers, and academics, dedicated to advancing tourism in Africa through data and AI.
The WiTH Africa community is engaged through different initiatives: strategic academic partnerships have been established in South Africa, Uganda, Lesotho, Mozambique, and Namibia, and 'Community Gatherings' are held quarterly quarterly to explore the state of tourism in Africa, collaboration opportunities, and community growth. Additionally, WiTH Africa participates in international events such as the Africa Hospitality Investment Forum in Nairobi (2023), Africa Tech Summit in London (2024), and international tourism fairs such as ITB Berlin 2023 and Bolsa de Turismo de Lisboa 2024. Considering the role of the tourism Industry for the economic and social growth, the project’s goal is to help improve African countries' competitiveness supported by the United Nation’s Sustainable Development Goals framework.
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