Events

Transatlantic AI Exchange event: Sharing AI Knowledge and Harnessing the Future of Innovation in a German-US Partnership

Montag, 19 April 2021 Germany: 19:00 – 20:00 Uhr CET (10:00 – 11:00 Uhr PDT)

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20.04.,18:00h, Clubhouse Talk: Brauchen wir noch Autoren oder macht das in Zukunft künstliche Intelligenz?

Dienstag, 20 April 2021 18:00 – 19:00 Uhr

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Veranstaltung KI-Bundesverband: Treiber von KI im Gesundheitswesen

Mittwoch, 21. April 2021, 16:00 – 19:00 Uhr

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AI Happy Hour

Mittwoch, 21. April 2021, 18:00 – 19:00 Uhr

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BLOCKCHANCE Live hosted by AI.Hamburg: Data Marketplaces And The Future of AI

Mittwoch, 28. April 2021, 17:00 – 18:00 Uhr (CET)

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HH@work & AI.Hamburg: Wo kann KI eingesetzt werden und was wird für ein erfolgreiches KI-Projekt benötigt?

Dienstag, 4 Mai 2021 11:00 – 12:30 Uhr

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AI Showcases: Kann künstliche Intelligenz nachhaltig sein?

Dienstag, 11 Mai 2021 16:00 – 17:30 Uhr

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Partner Events

TUTECH Innovation – eine frische Brise für die Entwicklung Ihrer F&E Projekte

Donnerstag, 15. April 2021, 16:00 – 16:45 Uhr

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Python-Grundlagen für Deep Learning | Online-Seminar

Montag, 19. April 2021, 10:00 – 16:00 Uhr

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How To Prepare a Competitive Horizon Europe Proposal Online Training

Mittwoch, 21. April 2021, 09:00 – 13:00 Uhr

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Python-Entwicklungstools für Deep Learning | Online-Seminar

Freitag, 23. April 2021, 14:00 – 16:00 Uhr

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Grundlagen Deep Learning | Online-Seminar

Montag, 26. April 2021, 10:00 – 16:00 Uhr

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KI Camp 2021

Dienstag, 27. April 2021

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Event Calendar

AI for Hamburg Event Formats

Together with our partners, AI for Hamburg offers events about the adoption of AI in companies.

In the events, workshops and training offered by AI for Hamburg, Artificial Intelligence and Machine Learning is brought closer to as many companies as possible. This helps the companies to recognize and use the potentials of AI.

The events apply to:

Executive Management, who is given examples from different industries, cost-benefit relations are shown, so that AI/ML become part of an overall strategy. On the one hand, to improve the performance of one’s own company, but also to recognise that constant investment in AI and ML is necessary to maintain competitiveness in the long term.

Decision-makers who, in addition to the above-mentioned topics, are also taught “how to implement”. Further contents are the basics of an AI strategy, the available AI/ML tools and the estimation of costs and implementation times.

Employees who are entrusted with the implementation get to know and learn about AI strategy and AI tools, and how they can implement or use them.