Can We Make AI Likeable? [in French] | Florian Douetteau, Dataiku Can We Make AI Likeable? [in French] | Florian Douetteau, Dataiku
How Mercedes-Benz, Vodafone, and Credit Suisse Super-Sized their Data Initiatives | A Panel How Mercedes-Benz, Vodafone, and Credit Suisse Super-Sized their Data Initiatives | A Panel
Diversity and Inclusion in Data Science | Noelle Silver, HackerU Diversity and Inclusion in Data Science | Noelle Silver, HackerU
Stakeholder Management: A Data Scientist’s Perspective | Denis Fragkakis, IG Index Stakeholder Management: A Data Scientist’s Perspective | Denis Fragkakis, IG Index
AI in the B2B customer journey | José Ramón Sánchez Martos, Telefónica AI in the B2B customer journey | José Ramón Sánchez Martos, Telefónica
How to Improve and Innovate Tax Collection by Municipalities | Jan Geert Bakker, Gemeente Amsterdam How to Improve and Innovate Tax Collection by Municipalities | Jan Geert Bakker, Gemeente Amsterdam
KI 2.0: KI bei Non-Tech Unternehmen | Alexander Thamm, Alexander Thamm GmbH KI 2.0: KI bei Non-Tech Unternehmen | Alexander Thamm, Alexander Thamm GmbH
Fueling Digital Transformation Within the Enterprise | Ayan Bhattacharya, Deloitte Fueling Digital Transformation Within the Enterprise | Ayan Bhattacharya, Deloitte
How Rabobank Boosts Sustainable AI Acceleration | Martin Leijen Architect, Rabobank How Rabobank Boosts Sustainable AI Acceleration | Martin Leijen Architect, Rabobank
The 7 Powers of Machine Learning | Lucas Bernardi, Booking The 7 Powers of Machine Learning | Lucas Bernardi, Booking
The data science challenges in the European SESAME project | Igor Girard-Carrabin & William Lacheny, ArianeGroup The data science challenges in the European SESAME project | Igor Girard-Carrabin & William Lacheny, ArianeGroup
Cleaner Oceans Through AI and Data Science | Bruno Sainte-Rose, The Ocean Cleanup Cleaner Oceans Through AI and Data Science | Bruno Sainte-Rose, The Ocean Cleanup
Becoming an Intelligent Organization in the Age of AI | Jeff McMillan, Morgan Stanley Becoming an Intelligent Organization in the Age of AI | Jeff McMillan, Morgan Stanley
Le revenue management augmenté par l’IA | Benjamin Lalanne, Groupe Air France Le revenue management augmenté par l’IA | Benjamin Lalanne, Groupe Air France
Which organizational strategies are required to innovate in production? | Sébastien Berard, Euronext Which organizational strategies are required to innovate in production? | Sébastien Berard, Euronext
Transformation data chez Engie GEM | Haga Rabekoto, ENGIE Transformation data chez Engie GEM | Haga Rabekoto, ENGIE
From Us, To Us: An Inclusivity Architecture | Brandeis Marshall, Spelman College From Us, To Us: An Inclusivity Architecture | Brandeis Marshall, Spelman College
Panel: Magical Experiences and Greater Well-Being | Panel with Disney, Warner Media, Blue Cross Blue Shield Panel: Magical Experiences and Greater Well-Being | Panel with Disney, Warner Media, Blue Cross Blue Shield
Quelle place occupe la data au sein du Groupe La Poste | Pierre-Etienne Bardi, Groupe La Poste Quelle place occupe la data au sein du Groupe La Poste | Pierre-Etienne Bardi, Groupe La Poste
Augmented Human Intelligence | Walid Mehanna, Daimler Augmented Human Intelligence | Walid Mehanna, Daimler
Ethical AI: Inclusivity as a Messy, but Promising Answer | Larry Orimoloye, Dataiku Ethical AI: Inclusivity as a Messy, but Promising Answer | Larry Orimoloye, Dataiku
Ethical Enterprise AI – A Guideline or Compass? | Martin Leijen, Rabobank Ethical Enterprise AI – A Guideline or Compass? | Martin Leijen, Rabobank
Navigating the Gender Pay Gap | Ben Montgomery, Dataiku Navigating the Gender Pay Gap | Ben Montgomery, Dataiku
How to Make a Success of Data Science | Jan Teichmann, Zoopla How to Make a Success of Data Science | Jan Teichmann, Zoopla
Pitfalls of Using ML for Fighting Online Abuse | David Freeman, Facebook Pitfalls of Using ML for Fighting Online Abuse | David Freeman, Facebook
