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Tag: Databooster

Webinar: 12. Learn & Lunch – Challenges for SMEs: How can responsible AI be used as a competitive advantage (Deutsch)

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Due to rising social expectations and new laws on the responsible use of artificial intelligence (AI), it is becoming increasingly important for companies to ensure the trustworthiness and ethical acceptability of AI applications. However, instead of viewing these requirements merely as a challenge, they also offer companies the opportunity to innovate and differentiate themselves from the competition. The aim of this event is to jointly explore the business challenges in the area of responsible AI. It will also discuss how companies can proactively use these requirements to tap into new innovation opportunities and position themselves sustainably in the market.

Organized by GRdigital in cooperation with the Focus Topic Responsible AI and Expert Group Data Ethics, of the data innovation alliance

Official Website and registration

Info-Webinar IB Databooster and Artificial Intelligence

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The Service à l’Innovation et à la Recherche (SIR) of the HES-SO is organizing a webinar on June 24, 2024 (12:00-13:00) to present two ideas supported by the Innosuisse Innovation Booster program. The funding opportunities in the frame of the Innovation Booster databooster and Artificial Intelligence, for which Nabil Abdennadher, professor at HEPIA, is the representative in French-speaking Switzerland, will be introduced and explained.

Organized by HES-SO, HEPIA and the data innovation alliance

Official website and Registration

Responsible AI Challenge: The long way from Responsible AI principles to concrete implementations – and how to manage and control this journey

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Making sure that AI applications are trustworthy and ethically aligned is becoming a major issue for all developers of AI, and for all companies using AI. The European Artificial Intelligence Act (AI Act) has been endorsed by the European Parliament in December 2023, and will be put into place in the very near future – this will fuel the need for actually guaranteeing that AI is consistent with legal requirements on trustworthiness.

But: the way from legal requirements to testable properties of a concrete implementation is long. How to keep track of the relevant legal requirements? How to operationalize them into technical requirements? How to guarantee that a specific application is consistent with all requirements, over the whole lifecycle of the application?

This lunch event will explore these questions with an input presentation and a following
discussion/exchange.

Elena Maran, Global Head Financial Services & RAI, Modulos AG, Zurich

Elena Maran is a former financial services executive with more than 13 years experience in the industry in different roles spanning from sales and trading to corporate banking. She is now Global Head Financial Services and Responsible AI at Modulos AG, defining the strategy, capturing requirements and driving growth in the sector. She is helping financial institutions embracing responsible AI governance and align with global and sector relevant AI regulations.

Join the discussion on a hot topic in Responsible AI and register here.
The link to the webinar will be sent to you with the booking confirmation.

Apéro Digital

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Combining techniques of technology foresight, storytelling, and sharing of lived experiences, Apéro Digital facilitates the co-creation of reflexive environments to support the understanding of societal transformations around digitalisation. Each event will result in a tangible artefact that is co-produced by participants. These outputs may be technical, argumentative, artistic, or analytical, all with the aim of adding values to the collective reflections about, and strategic navigation around, societal challenges posed by the ongoing digital transformation.

Find more information on the official website.

Spatial Data Analytics – AI-driven Probability Maps

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In the field of environmental monitoring, artificial intelligence (AI) coupled with probability maps emerges as a powerful tool for comprehensively understanding and managing ecological systems. By harnessing machine learning algorithms, intricate patterns within environmental datasets can be discerned with unprecedented accuracy. Based on this understanding, probability maps can be calculated to offer valuable insights into the likelihood of various environmental events. These maps serve as crucial decision-making aids for policymakers, conservationists, and researchers alike, enabling proactive measures to mitigate ecological threats and promote sustainable practices.

Schedule:

  • 14:45 – 14:55 – Intro and introductions (Dr. László István Etesi – FHNW)
  • 14:55 – 15:30 – Probability Maps: Current research & applications in the field of environmental monitoring
  • 15:30 – 16:00 – Break
  • 16:00 – 16:30 – Indicate challenges around robust multi-sensor & multi-scale data integration and harmonization 
  • 16:30 – 17:00 – Discussion on ideas which can be further evaluated in the frame of the Innovation Booster

AI in Finance and Insurance – The Future of Financial Data Analytics

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In the frame of the ExpertDay, an inter-active breakout session is organized by the ExpertGroup AI in Finance and Insurance, presented by M. Vendramet and A. Blum (Unit8) and B.H. Misheva (BFH).The challenges adressed include the mountains of data you are managing in finance and the  currently available machine learning techniques, which can give finance teams an edge in connecting all the data, finding trends and insights. Inspiring insights are presented by N. Königstein and G. Raille:

  • Presentation: Nicole Königstein, Chief Data Scientist, Head of AI & Quant Research, Wyden Capital AG: Financial Times Series Prediction in the Age of Transformers
  • Presentation: Guillaume Raille, Engagement Director & Data Scientist at Unit8 SA: LLMs beyond Chatbots: Unveiling the challenges of advanced LLM applications based on a real-world use cases

Join the discussion on topics that might be relevant for the DIA in the future and register here.

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