Path to AI - EGG On Air

Path to AI2020-09-07T16:54:17+00:00

Path to AI

Continue on your Path to Enterprise AI.

Ethical Enterprise AI – A Guideline or Compass? | Martin Leijen, Rabobank

Ethical Enterprise AI – A Guideline or Compass? | Martin Leijen, Rabobank

Fueling Digital Transformation Within the Enterprise | Ayan Bhattacharya, Deloitte

Fueling Digital Transformation Within the Enterprise | Ayan Bhattacharya, Deloitte

From Us, To Us: An Inclusivity Architecture | Brandeis Marshall, Spelman College

From Us, To Us: An Inclusivity Architecture | Brandeis Marshall, Spelman College

What’s At Stake With Your Data Projects Operationalization? | Romain Fouache, Dataiku

What’s At Stake With Your Data Projects Operationalization? | Romain Fouache, Dataiku

From Silos to Self-Service: Data Transformation at GE Aviation | Jon Tudor, GE Aviation

From Silos to Self-Service: Data Transformation at GE Aviation | Jon Tudor, GE Aviation

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

The Growing Pains, Pitfalls & Future for a Data Science Team in a Hyper-Growth Company | Shaun Moate, DAZN

The Growing Pains, Pitfalls & Future for a Data Science Team in a Hyper-Growth Company | Shaun Moate, DAZN

Democratizing Automated Forecasting | Lukas Stroemsdoerfer, Mercedes-Benz

Democratizing Automated Forecasting | Lukas Stroemsdoerfer, Mercedes-Benz

AI + Human Intuition = Differentiated Insights | Jeff McMillan, Morgan Stanley

AI + Human Intuition = Differentiated Insights | Jeff McMillan, Morgan Stanley

EGG AMS 2019 Opening Plenary | Hylke Visser, Dataiku

EGG AMS 2019 Opening Plenary | Hylke Visser, Dataiku

Augmented Human Intelligence | Walid Mehanna, Daimler

Augmented Human Intelligence | Walid Mehanna, Daimler

The Spirit of the City: Capturing Network-Generated Data for Better Cities | Luca Maria Aiello, Nokia Bell Labs

The Spirit of the City: Capturing Network-Generated Data for Better Cities | Luca Maria Aiello, Nokia Bell Labs

Synthetic Data: How Do We Manage Them? | Armando Vieira, Hazy

Synthetic Data: How Do We Manage Them? | Armando Vieira, Hazy

AI Adoption in the Enterprise | Jacob Wilson, PwC

AI Adoption in the Enterprise | Jacob Wilson, PwC

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

Diversity and Inclusion in Data Science | Noelle Silver, HackerU

Diversity and Inclusion in Data Science | Noelle Silver, HackerU

Generative Adversarial Networks for Finance | Alexandre Hubert, Dataiku

Generative Adversarial Networks for Finance | Alexandre Hubert, 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

Cyber Risk Analytics: The Next Frontier | Paul Guthrie, Envelop

Cyber Risk Analytics: The Next Frontier | Paul Guthrie, Envelop

Data Science Pioneers: Conquering the Next Frontier | Romain Doutrioux, Dataiku

Data Science Pioneers: Conquering the Next Frontier | Romain Doutrioux, Dataiku

The 7 Powers of Machine Learning | Lucas Bernardi, Booking

The 7 Powers of Machine Learning | Lucas Bernardi, Booking

AI in Retail: Building a Brilliant Shoe Discovery System | Antonis Argyros, SafeSize

AI in Retail: Building a Brilliant Shoe Discovery System | Antonis Argyros, SafeSize

Are You Vulnerable to Adversarial Machine Learning? | Celeste Fralick, McAfee

Are You Vulnerable to Adversarial Machine Learning? | Celeste Fralick, McAfee

What is to be Done When Everything Can be Faked | Shaun McGirr, Cox Automotive UK

What is to be Done When Everything Can be Faked | Shaun McGirr, Cox Automotive UK

Getting from 1 to 100 Users With Dataiku | Roberto Amador, Johnson & Johnson

Getting from 1 to 100 Users With Dataiku | Roberto Amador, Johnson & Johnson

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