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Are You Ready for
the Quickening!
From Homo Sapiens to Data Natives. A journey from
the pyramids through "the clouds"
History of computer
science
It’s in the genes,
baby
We are all
made of
DATA
The big data movement: the Quantified self
Are you a
DATA
NATIVE?
Computers + humans:
“
Data science is the
discipline of making
data useful.
Cassie Korzykov
DATA
SCIENCE IS
PREVENTION
DATA SCIENCE
IS
RECOMMENDATION
DATA
SCIENCE IS
COLLABORATION
DATA
SCIENCE IS
EDUCATION
DATA
SCIENCE IS
INNOVATION
DATA
SCIENCE
SHOULD BE IN
THE CULTURE
The
ethical
dilemma?
Wanna stay in touch?
Elena Poughia
■ Run Dataconomy Media and Founder at
Data Natives
■ In my free time you can find me in art
shows and galleries
■ Email me at: elena@dataconomy.com
Useful Information:
#DN18
Wifi
Water, coffee, tea
Volunteers!
Breaks: Lunch and Networking
Co-working space
Unconference room
AMA sessions

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Are You Ready for the Quickening!

Editor's Notes

  1. “Data science is the discipline of making data useful.”
  2. Technology is developing at an unprecedented rate- the most powerful supercomputer in the world, IBM’s Summit, is capable of processing 200 quadrillion calculations per second. But what does this accelerated pace mean for businesses, for scientists, and for each and every human? How can we best use the influx of data to fuel the breakthroughs that will shape our scientific landscape? Silicon Valley - abacus - binary logic (1702 - true or false system) allowed computational processes to be mathematically modeled Ada Lovelace 1920s, computers (sometimes computors) were human clerks that performed computations Alan Turing Atanasoff–Berry computer in Iowa Probability theory IBM - International Business Machines - first discussed about the importance of culture
  3. DNA Sequencing - anecdote about my family and evolutionary psychology. Talk about how at the family table we always talked about ancestory and connect that with big data - we are data, we are made of data and we return to data. 23andme.com
  4. “Data science is the discipline of making data useful.”
  5. 10 years is a long time, when you consider that during this period we will have access to new neurosynaptic processing power such as IBM’s TrueNorth or cloud based quantum computing. Ten years ago the iPhone got introduced which led to the development of 180.000 registered health apps, which equals 50 apps a day. A day in the life: 1. Check your sleep metrics, check your vitamine intake, check your drug dose, reward yourself for taking the right drug, samplement, check your steps with apple watch or apple health - big game changers in technology are entering the game: apple, samsung, phillips, to name a few
  6. “Data science is the discipline of making data useful.”
  7. Dennis Grishin, Co-founder, Nebula Genomics, Adrien Philippe, CEO juniper medical computing moderated by Aline Noizet Digital Health Connector, Jörn Bungartz, CEO Midge Medical Daniel Knapp Excecutive Director at TMT and Stewart Rogers Journalist at Venture Beat
  8. Dan - A/B testing Opinary Dr. Patrick Vetter, Head of CC Data Science at Supper und Supper Christoph Wollersheim, Global Head Data Analytics & Insights at Arcadis Improving Quality of Life in Future Cities: data as a tool to promote sustainability Panel: The ROI on AI with Stephen Candelmo Partner from Azafran Partners, Jens Lapinski CEO at Angel Invest Ventures moderated by Diksha Dutta, Consulting Editor at Dataconomy Media Axel Morgner, CEO at Structr The Evolution and Future of Graph Technology: Intelligent Systems
  9. Bart de Witte, Chair Faculty of Digital Health at futur/ios, Director Digital Health IBM DACH Eduardo Peire, CEO at AIScope "Opensource AI to diagnose the world deadliest diseases" Peter Plötner, CEO of BEEZ Data "Business in times of platforms: do's and don'ts" Can I send you an email? Thanls
  10. Annina Neumann, VP Technology at Prosebenseinsat 1 AI in Business Applications: Do's and Don'ts Igor Drobiazko, CTO at elastic.io Data Is Everywhere. Literally. How Do You Get it in One Place? Iveta Lohovska, Principal Data Scientist HPE Centre of Excellence How to lie with data and statistics Marc Weimer-Hablitzel, Principal Data Innovations at ETVenture Bart Smeets, CEO of Dataroots Heiko Schmidle, Lead Data Scientist, DCMN Cassie Korzykov, Chief Decision Scientist at Google
  11. Marcus Jones, Lead Data Scientist at Ocean Protocol "Ocean Protocol - Empowering a decentralized marketplace for the new AI ecosystem" Samuel Brack, Assosiate member at DIA data, Providing Trusted Oracles for Financial Data in Ethereum Smart Contracts Ole Bossdorf, Team Lead Business Intelligence at Project A Ventures , Claudia Pohlink, Head of Artificial Intelligence at T-Labs (Deutsche Telekom AG) and Vedrana Hoqvist Tabor, CEO at BOOST Thyroid: improving autoimmune conditions, moderated by Nicholas Borsetto Leading Economist at the Good Technology Collective Uwe Diegel, Product Developmet at Healthbank Ingrid Willems, CEO at datascouts, "Innovation has never been so rapid. The cost of falling behind has never been so high!"
  12. Noa Tamir, Director of Data Analytics at AUTO1 Group Building a Data Culture HR Tech: Building a Data-driven Culture Kave Bulambo, Founder at MyCareerPath, Stefanía Bjarney Ólafsdóttir, Cofounder &CEO at Avo Bjorn Bakker, CEO and Founder of Blindfeet moderated by Linda Zettergren, HR Consultant HR Tech: Building a Data-driven Culture Kave Bulambo, Founder at MyCareerPath, Stefanía Bjarney Ólafsdóttir, Cofounder &CEO at Avo Bjorn Bakker, CEO and Founder of Blindfeet moderated by Linda Zettergren, HR Consultant