The Next Big Thing Meeting Series Nr 3 – January 15, Zurich

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The goal of every business, whether large or small, is to maximise its competitive advantage. Competitive Intelligence (CI) supports business decision making by enabling the timely discovery of opportunities and threats. How can modern enterprises use CI to overcome challenges and orient their course of action in response to actionable opportunities? In a world where digital threats amplify the traditional business risks, what is the link between CI and cyber resilience? Why does a high-impact CI function require anticipatory, strategic guidance through the effective use of unique primary intelligence sources (HUMINT)?

The third meeting in the Next Big Thing series will be led by our distinguished guests, Sascha Maier, the Head of IT & Cyber Resilience at IWC Schaffhausen, and Marc Limacher, Founder and CEO at INOVIS. Together we will explore different perspectives on the role of competitive intelligence in ensuring the stability, prosperity, and security of a business.

PROGRAM

18:00 – The Powerful Trinity: Competitive Intelligence, Cybersecurity, Foresight

Opening by Aleksandra Bielska (Swissintell, Zurich Greater Area Manager)

18:10 – Speakers

How to Protect the Brand In 2020 From Competitive and Digital Risks? by Sascha Maier (Head of IT & Cyber Resilience at IWC Schaffhausen)

High Impact Strategic Foresight: Competitive Advantage via Competitor & Market Anticipation? by Marc Limacher (Founder and CEO at INOVIS)

19:20 – Q&A and Discussion

19:40 – Networking Apéro

REGISTER FOR THE EVENT VIA WEEZEVENT

GENEVA EVENT: Apéritif réseautage de fin d’année – 10.12.2019 @Café des philosophes

Swissintell Apéritif Réseautage

INSCRIPTIONS SUR WEEZEVENT

Apéritif-réseautage de fin d’année au Café des philosophes, de 18h30 à 20h30, dans la salle à l’étage.

Une participation de 30.- est demandée pour les non-membres qui sont évidemment les bienvenus !

La Suisse sous couverture – web série sur l’espionnage en Suisse

La RTS a diffusé du 18 au 23 novembre une web-série sur les liens entre la Confédération et le renseignement international. En cinq épisodes, “La Suisse sous couverture” revient sur les affaires d’espionnage les plus marquantes depuis l’après-guerre.

“Agents doubles” (1952 – aujourd’hui)

Durant près de 40 ans, le renseignement américain (NSA) auraient espionné 130 pays grâce à des machines “truquées” par l’entreprise zougoise Crypto AG, avec le soutien des britanniques (GCHQ) et des allemands (BND). Fiction ou réalité?

“Les grandes oreilles de la Confédération” (2000 à aujourd’hui)

Depuis l’an 2000, une partie des antennes paraboliques du principal site du système de renseignement suisse a été vendue à des sociétés qui ont des liens indirects avec la NSA. Quels sont les risques ?

“Genève, nid d’espions” (2007 à aujourd’hui)

Halte à la station d’écoute américaine basée à Genève et gérée par le Special Collection Service (F6), dont Edward Snowden était un sous-traitant.

“Le secret bunker suisse” (2011 à aujourd’hui)

Des bunkers suisses ont été convertis en coffre-fort pour cacher les serveurs numériques des banques, des groupes pharmaceutiques et d’autres multinationales. Mais après un bel envol, le marché helvétique des datas centers souffre désormais de la concurrence européenne, en raison de la mise en place du RGPD ou règlement sur la protection des données.

“La crypto révolution” (1980 à aujourd’hui)

De Berlin à Zurich, les hackers du Chaos Computer Club (CCC) sont en lutte contre le risque de monétisation du réseau internet, contre un surcontrôle des autorité (big brother) et contre le manque de transparence des autorités.

Source : RTS

Recommendations for an AI Strategy in Switzerland

Digital transformation is radically reshaping almost every aspect of our society. The explosion of artificial intelligence (AI) and big data analytics applications is enabled by the extreme availability of data in combination with the substantial computing power of modern highly distributed computing infrastructures connected by high-speed networks. Machine learning technologies can be trained to perform specific tasks with an efficiency and an accuracy that can supplement and, in some cases, outperform that of humans. These systems provide deep insights by learning from data and interactions with users, which is already leading to a profound transformation of numerous industries, professions and society at large. The current state of AI is, however, still far from delivering truly intelligent behaviour that is comparable to human intelligence. An AI research strategy should therefore carefully analyse AI’s history with its various waves of large promises and conceptual shortcomings.

Recent advancements in machine learning have enabled AI technologies to become extremely successful. Speech recognition, natural language interaction with machines and facial recognition based on deep learning are now commodities that have changed the way people interact. The machine learning strategy of emulating human performance by learning from human experience promises a solution to the knowledge extraction problem. However, the automated reasoning process is as opaque as human decision making. Evolution has enabled humans to collectively reason and act on our collective experience, though other humans are often black boxes. Today, we are confronted with computational artefacts that are adapted to complex human decision making and, thereby, have inherited a similar “black box” behaviour.

Given the penetration of AI across most industries, its potential impact on GDP promises to be very high. In Switzerland, AI is already reshaping industries such as banking, insurance, pharmaceuticals and manufacturing. Furthermore, Switzerland is the European country that has the highest number of AI start-ups per citizen, with more than 100 startups. Many leading countries are heavily investing in AI development strategies and the establishment of technology transfer centres in this field.

To date, Switzerland has not developed a dedicated AI strategy. AI is one of many topics covered in the strategy “Digitale Schweiz”. An interdepartmental working group on AI which should ensure knowledge exchange in the domain of AI within the federal administration and coordinate Switzerland’s positions in international bodies, is mandated to submit a report to the Federal Council by September 2019. Furthermore, an interdisciplinary study on behalf of TASWISS is evaluating the opportunities and risks of AI on the basis of various focal points: work, education, media, consumption and administration. The publication of that study is planned for the end of 2019.

Read more here : SATW