data acceleration summit

Join Snowflake and SIME for the Data Acceleration Summit at EpiCenter on 14 November.

Learn more about data advantage- accelerating data, accelerated business. Hear from business and technical thought leaders and case studies what’s possible with the latest findings in data analytics and how you can advance your innovation and organization by doing it right!  Network with industry leaders and be prepared to get excited by data.

This year Snowflake has a limited no. of free One Day tickets available for the Data Acceleration summit, so make sure to register now to ensure your seat!

Space is limited, so please RSVP soon to reserve your discount code.

KEY TAKEAWAYS:

  • The data advantage- accelerating data, accelerated business.
  • Four industries, four data strategies (music, retail, media, real estate)
  • Making the cloud work for your data.
  • From big data to useful data.
  • Experience sharing sessions.
AGENDA
10:00
Opening words

Mahesh Kumar, CEO Result

10:10
Quantum Leaps

Jack Hidary, awarded researcher, entrepreneur, advisor and author on themes like AI & Neuroscience.

10:30
Making the Cloud work for your Data

Nicolas Köllerstedt, Regional Director, Snowflake

10:45
Accelerating data, accelerated business – and the end of average decision making!

Michael Ross, co-founder, Chief Scientist, Dynamic Action

11:10
Brand new world – connecting the dots for a good cause

Nargis Rahimi, CEO and founder, Shifo Foundation, Alexandra Silfverstolpe, Founder, Data Act Lab.

11:30
From big data to useful data – how data driven political journalism grows subscriber loyalty for SvD

Tobias Brandel, Tobias Brandel, News Editor Politics and Premium at Svenska Dagbladet

11:50
A taste of AI – how we blended the world’s first premium whisky with AI and data

Angela D’Orazio, Master Blender, Mackmyra, Jarno Kartela, Principal Machine Learning Partner, Fourkind

Note: The agenda evolves as we add speakers, partners and topics. Stay tuned for changes!

EpiCenter

Wednesday,  Thursday, 14th November
09:00 AM – 3:00 PM