ONLINE SESSION: EXCLUSIVE PARTICIPATION OF DSPA INSIGHTS 2022 SPONSORS’ REPS & STUDENTS
In a fantastic partnership with Magma Studio, this exclusive dynamics is designed to allow students to be in contact with reps from several reference companies in the areas of Data Science, Analytics and AI, as well as in several other business sectors, pitching themselves and receiving feedback from the professionals, who also have the chance to pitch their own companies’ recruitment openings and opportunities.
Recognition of two Data Industry Professionals in two categories: Data Executive of the Year (*) and Data Scientist of the Year (**), celebrating the excellence of professionals in our ecosystem, DSPA's members have nominated those they believe should be the winners in each category. Voting to take place on DSPA's (Playbook) during the event, and the announcement of the winners will take place on stage at the event on October 14.
(*) Data Executive of the Year
Recognition of a strategic leader within his/her organization in the Data domain, with responsibility in the digital transition and innovation processes of the same, using Data Science techniques and solutions, and in the support, transformation and improvement of the operational and business performance of the organization.
(**) Data Scientist of the Year
Recognition of a professional who develops work in the area of Research in a business or academic environment.
Global Tech Talent Trends 2022 - worldwide report on the tech work market covering topics like salaries, remote work, relocation, tech stacks, career drivers, job perks and many more.
A presentation where data regarding the expectations and ambitions of Portuguese university students will be discussed, promoting a discussion about how python can become an extraordinary path for career development.
Given the growing need to guide professionals and companies to respond to the continuously evolving Data Science and AI paradigm, DSPA presents a Methodology and Tool to help democratizing the access and development of Data Science knowledge and techniques: a Certification Tool for professionals to proof their competencies, as well as to be guided in some key career paths’ progression.
Different experiences and views on the session’s (hot!) topic will be brought to us by our distinguished guests, representing the Academic, The Research & Investigation, the Corporate and the Investors Perspective, in an exciting session that will focus on a few key pillars of our society and economy: Education, Ethics and Health.
In the path to decarbonization of the World economy, the Energy industry sits in the middle of two major structural shifts: digital transformation and energy transition. The role of data and analytics at the intersection of these two challenges will be the focus of this keynote address by Ana Paula Marques, Executive Board Member at EDP.
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A journey through DSPA’s INSIGHTS 2018 > 2021’s editions: the hottest topics and the most interesting and exciting use cases, as a demonstration of the Empowerment of Data Science (and DSPA) for a better world
How do companies use Machine Learning and Artificial Intelligence to transform their business across the entire value chain? In this presentation, Jakob will share his answer to that question by sharing recent case studies on the application of data science to solving important business challenges.
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he last decade has seen dramatic leaps in the ability of machine learning to solve complex problems. Headlines proclaiming super-human accuracy on challenging problems are everywhere, and you would be forgiven for thinking that machine learning was now a solved problem revolutionising every aspect of life. However, the practical and commercial reality is quite the opposite. We don’t see the widespread successful deployments of machine learning systems, and in fact only see relatively narrow applications that rarely survive first contact with the infinite complexity of the real world. The disconnect between performance in research situations and in real-world deployments is largely due to more nuanced and multi-faceted definitions of success. Success in real-world deployments requires more qualities than just accuracy – ethics, privacy, robustness, reliability, humility, and sustainability to name just a few. This holistic challenge of Responsible AI is still in its infancy and requires data-scientists, organisations, investors, academics, and society as a whole to massively re-calibrate their expectations regarding AI and start asking not just “can we use it?”, but crucially also “should we use it?”.
In times of profound digital transformation, the European data strategy aims to ensure the EU's leadership role in a data-driven society. It is in this context that several EU legislative initiatives are emerging, such as the one providing for the creation of European data spaces that will allow data to flow freely within the EU and across all sectors, to the benefit of businesses, researchers and public administrations. The health data space will be at the forefront of the implementation process, and will be subject to substantial regulation – however, it is set to unequivocally push the information monetisation process forward significantly.
The power of Applied Data Science, in a traditional business, such as an Insurance Group. CAA@Fidelidade’s six-year Data Science adventure.
ATTRACT DIH (Digital Innovation Hub for ArTificial InTelligence and High-PeRformAnce CompuTing @ Portugal) believes that digital transformation, namely solutions based on AI and HPC, will represent important business opportunities at the international level, for companies and technological sectors, allowing significant qualitative leaps in the performance of organisations.
A melhoria da experiência dos produtos e serviços, e o aumento da eficiência no desenvolvimento das operações são dois dos principais objetivos das organizações associados a Data & AI.
A prática de Observability desenvolve-se a partir das áreas de Monitoring, APM (Application Performance Monitoring) e Operational Insights. O objetivo é aperfeiçoar a supervisão sobre as aplicações e plataformas, acelerar o processo de troubleshooting e a respetiva resolução de problemas, de modo a aumentar a disponibilidade e melhorar a experiência associada a esses serviços e produtos.
Nesta sessão iremos abordar o que é Observability, quais as vantagens, os Building Blocks críticos de uma solução e os Use Cases mais relevantes, sem esquecer os fatores críticos de sucesso para a sua implementação.
Client Case: Western Power Distribution – (Now known as National Grid)
With network operators looking to decentralize and transition to distribution system operators(DSO), accurate network data is becoming increasingly important. Asset data is often missing, erroneous and outdated which can hinder decision-making. To support network improvement projects and investment planning, operators need high-quality network data. In this presentation, Isa explores the use of Machine Learning with Spatial Graphs to clean network asset data.
In the paradoxical world, where information and knowledge is present in abundance but we are facing a shortage of skilled labor, how we educate and do that at scale becomes increasingly important. This session is about initiatives in the traditional educational system and beyond.
Many businesses have already initiated their AI Journey, while others are still struggling to get started. It seems that the more time passes, the more difficulties we must overcome. Depending on the maturity of that journey, leaders face different challenges and are confronted with various risks: Choosing the most appropriate AI strategy, Big Data vs Small Data, Technology stacks, Legal constraints, Change management and scalability, Some focus on Data and Data Science use cases, while others concentrate their efforts on hyper-automation.
Whatever your priorities are, know that you are not alone on this journey. Join us and find out what other businesses do right now and how they approach the adoption of AI, Data Science and Hyper-Automation to grow and boost their competitiveness.
Xpand IT’s data science project methodology and use cases demonstrating this methodology.
Different project management methodologies have been developed over the years, and while there are numerous methodologies, they all have one common goal: to ensure that a project is completed on time, within budget, and delivers on its objectives. However, for data-driven projects, the traditional project management methodologies may not be the best fit. The Agile methodology is a popular choice for data-driven projects as it is designed to accommodate changes and unforeseen events, but in the end, the right methodology for your project depends on your organization’s goals and needs.
Here, we will present XP4DS, our methodology for managing data science projects in an Agile environment, which mainly consists of 3 phases: a) viability analysis, where the viability of the project is evaluated, both from the business and technical perspectives; b) modeling/execution, a cyclic phase where data and modeling prototyping is done, resulting in new insights and finally c) deployment and monitoring, where the new insights are utilized to make improvements to the organization and monitored/maintained. Several use cases demonstrating our methodology will also be presented.
Our guest will present the evolution of Mars exploration, with a special focus on the contribution of maxon’s drive mechanisms in the conquest of Mars. She will explain the type of modifications made to the industrial catalogue products to make them resistant to the extreme conditions of the Martian environment. Finally, she will give an overview of the team behind these projects and of her professional career.
In a time where most organizations already started the analytics journey and have use cases implemented and in implementation, there is a “mind the gap” hover on the analytics strategy: the capability to run and monitoring all models, the ability to scale-up the use cases and the urgency to ensure data governance is in place. This session is about how Cloud is closing this gap and what are the key ingredients to a successful journey.
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Uma sessão sobre o entendimento, e explicação, do impacto dos dados na sociedade e nos negócios, e a partir disso, a criação de métodos para acelerar o desenvolvimento analítico, simplificando o uso da ciência aplicada aos dados, para acelerar a implementação de cultura analítica nas organizações.
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Challenges of setting up AI at scale and create the transformation drive to turn around the delivery model of an universal incumbent
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Um operador de comunicações detém uma fonte riquíssima de dados, capaz de entender padrões e perfis de mobilidade que impactam diferentes sectores de atividade. Para extrair este valor é fundamental ter capacidade de trabalhar os dados e gerar insights que possam apoiar a tomada decisão das empresas no seu dia-a-dia.
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In today’s context the travel and hospitality is at the forefront of the leveraging data to leverage the growth path, post-covid. But, the changing market trends and players, the customer profiles, competition and offerings are set to push ahead the relevance of the good and timely use of data and analytics to make a difference. This short presentation will seek to highlight some key use cases and data related technology.
Metaverse will bring many challenges, some of which are not much different from what we are seeing today – disinformation, hate speech, child safety and burning through our planet’s resources. We have an opportunity to re-think how we can approach the metaverse in a more responsible way. This presentation will outline the challenges but also present the way forward.
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