How 3 Major Organizations Leverage AI

May 21st | Microsoft Office, Zurich

Dataiku and Microsoft invite you to our Roundtable 2019 in Zurich!

Please join us for this special event dedicated to a limited number of invitees at the Microsoft Office in Zurich on May 21st.

Learn more about organizational challenges in financial institutions and how to leverage these technologies to offer global analytics across profiles and business entities.

We welcome the following roundtable participants:

  • Denis Avdonin, Head of Analytics IT at SUB at Credit Suisse
  • Sebastian Heinz, CEO at Statworx
  • Prasanth Ram Jaganathan, IT Architect Wipro Technologies at UBS
  • Geoffrey Pegler, Head of Data Science & Advanced Analytics at Zurich Insurance
  • Dr. Alexandre Gattiker, Cloud Solution Architect at Microsoft
  • Anne-Sophie Rössler, International Business Developer at Dataiku
date

May 21st

place

Microsoft Office, Zurich

Roundtable

Registration

AGENDA Roundtable

16:00
Introduction: Microsoft/Dataiku Partnership
16:05
Dataiku Presentation
How to accompany financial industries through their journey to Enterprise AI, from first analytics pilots to operationalization and scalability.
16:30
Microsoft Azure Presentation
Democratization of AI - Microsoft's Big Data, Machine Learning, and Partner Ecosystem
16:50
Roundtable Discussion
Operational challenges in financial institutions and how to leverage these technologies to offer a global analytics service across profiles and business entities.
17:30
Networking, Food & Drinks

Roundtable Participants

Denis Avdonin

Head of Analytics IT at SUB at Credit Suisse

Sebastian Heinz

CEO at Statworx

Prasanth Ram Jaganathan

IT Architect, Wipro Technologies (Client - UBS)

Geoffrey Pegler

Head of Data Science & Advanced Analytics at Zurich Insurance

Dr. Alexandre Gattiker

Cloud Solution Architect at Microsoft

Anne-Sophie Rössler

International Business Developer at Dataiku

How to get there

Address

Microsoft Schweiz, Richtistrasse 3, 8304 Wallisellen, Schweiz

Transport:

S19 Wallisellen

S8 Wallisellen