Preview: doppel hub 2019

VON Dr. Wolf SiegertZUM Mittwoch Letzte Bearbeitung: 14. März 2019 um 19 Uhr 32 Minutenzum Post-Scriptum

 

Kaum war die hub 2017 vom 28. November 2017 beendet - HIER nochmals ein Video-wrap-up - kommt am Freitag, den 1. Dezember um 13:52 die Nachricht, dass es heute und morgen eine neue hub-Konferenz geben wird:

We’re frequently asked whether we will expand our innovations festival. And that’s what we will do: Instead of one, the next hub.berlin offers two fully packed days of tech innovations, conference program and Berlin spirit.

All that happens during Berlin’s most beautiful season, as we go out of the cold winter and welcome you back again in spring on 10 and 11 April 2019.

Angekündigt war dieser Termin - zusammen mit drei weiteren Events im Verlauf des Jahres 2018 - im Abschluss-Statement des bitkom-Geschäftsführers:

Dieser Termin liegt genau einen Monate nach dem inzwischen aufgegebenen CeBIT-Start-Platz und einen Monat vor dem re:publica-Stammplatz, der 2018 für den 2. bis 4. Mai angesetzt ist.

Nein, noch wird es keinen Mega-Merger geben, sondern, so Rohleder am 28. November 2017: "What we would like to do is to bring the right people together".

Was hier folgt, ist das Programm dieses ersten Tages /Stand 14. März 2019 [1] :

09:30 - 09:45 Opening
Welcoming

Achim Berg, President, Bitkom e.V.

Red Arena

09:45 - 10:05 Opening
Opening Keynote

Timotheus Höttges, CEO, Deutsche Telekom

Red Arena

10:05 - 10:25
Keynote

Katrin Suder, Chairwoman of the Digital Council of the Federal Government

Red Arena

10:25 - 10:45 Connected World
Keynote

Dr Frank Mastiaux, CEO, EnBW

Red Arena

10:30 - 11:50
AI in the World of IoT and Privacy

Alexander Motzek, Head of AI Lab, Lufthansa Industry Solutions

Masterclass Space 1

10:30 - 10:50 Big-Data.AI Summit
Artificial Intelligence: Between Science and Fiction

Andreas Dengel, Scientific Director, German Research Center for Artificial Intelligence (DFKI)

Black Arena

10:45 - 12:00 Connected World
Connected World

Red Arena

11:00 - 11:30 Big-Data.AI Summit
Towards a European AI Strategy

Susanne Dehmel, Member of Executive Board, Bitkom e.V.

Cecilia Bonefeld-Dahl, Director General, DIGITALEUROPE

Bertrand Pailhès, National Coordinator for the French AI strategy, Digital and ICT interministerial Directorate (DINSIC)

Christiane Woopen, Chairwoman, European Group on Ethics in Science and New Technologies

Panel
Black Arena

12:00 - 12:30 Big-Data.AI Summit
Bridging the Gap Between Philosophy and Technology (panel)

Sebastian Wieczorek, Head of Leonardo Machine Learning Foundation, SAP SE

Red Arena

12:00 - 12:20 Quantum Computing
Keynote

Joseph Reger, CTO, Fujitsu CE & EMEIA

Red Arena

12:10 - 12:30 Big-Data.AI Summit
Structuring Big Data and AI information as Digital Objects

Robert E. Kahn, Co-inventor of the Internet, CEO & Presidential Medal of Freedom Recipient, Corporation for National Research Initiatives

Black Arena

12:20 - 12:45 Quantum Computing
Quantum Computing

Red Arena
12:30 - 12:50 Big-Data.AI Summit
Automate the Boring Stuff with Machine Learning

Dat Tran, idealo.de, Head of Data

John McCarthy Stage

12:30 - 12:50 Big-Data.AI Summit
Forecasting Customer Demand with Deep Neural Networks

Ralph Grothmann, Principal Consultant for Predictive Analytics, Siemens

Hari Seldon Stage

12:30 - 13:50 Big-Data.AI Summit
How to Scale Up Data Science Teams Effectively

Leo Marose, CEO & Co-Founder, StackFuel GmbH

Masterclass Space 2

12:30 - 12:50 Big-Data.AI Summit
How Volkswagen Scales Value from Data Across Brands: Best Practices from Porsche and VWFS

Alexander Thamm, CEO, Alexander Thamm GmbH

Alexander Borek, Global Head of Data & Analytics, Volkswagen Financial Services AG

Ingo Alzner, Platform Manager BI & Big Data , Porsche AG

Grace Hopper Stage

12:30 - 12:50 Big-Data.AI Summit
The Future of Added Value in the Data Economy

Michael Niederée, Partner, Lighthouse, Center of Excellence for Data & Analytics, KPMG

Joan Clarke Stage

12:45 - 13:45 Digital Art
Digital Art

Red Arena

12:50 - 12:30 Big-Data.AI Summit
AI Meets Fintech: Setup a Data Science Pipeline in a Highly Regulated Environment

Olaf Hein, Department Head & Principal Consultant, ORDIX AG

Grace Hopper Stage

12:50 - 13:10 Big-Data.AI Summit
Capitalize on AI: Bridging the Gap Between Complex Products and Customers’ Requirements

Klaus Reichenberger, CSO, intelligent views

John McCarthy Stage

12:50 - 13:10 Big-Data.AI Summit
How to Create AI in a Crypto World that Utterly Lacks Data?

Danko Nikolić, Chief Data Officer, savedroid AG

Grace Hopper Stage

12:50 - 13:10 Big-Data.AI Summit
The Innovation Graph: Decision Support for Innovation and Technology Management

Matthias Plaue, Chief Data Scientist, MAPEGY

Peter Walde, Chief Executive Officer, MAPEGY

Joan Clarke Stage

12:50 - 13:10 Big-Data.AI Summit
The Prediction of Logistics Resource Needs Based on Smart Data Analytics

Andreas Wierse, Managing Director, SICOS BW GmbH

Dorothea Küttner, Head of Corporate Strategy and Innovations, LGI Logistics Group International GmbH

Hari Seldon Stage

13:10 - 13:30 Big-Data.AI Summit
Capacity Utilization Forecast in Supply Chain Optimization

Robin Senge, Data Scientist, inovex GmbH

Julian Pychy, Data Scientist, REWE Digital GmbH

Hari Seldon Stage

13:10 - 13:30 Big-Data.AI Summit
Data-Driven Financial Supervision

Moritz Kiese, Partner, d-fine GmbH

Grace Hopper Stage
13:10 - 14:10 Health
Digital Health

Black Arena

13:10 - 13:30 Big-Data.AI Summit
Direct Marketing Propelled by Big Data & Machine Learning at PAYBACK

Ansgar Schneider, Head of Product Mngmt. Direct Marketing and Data , PAYBACK GmbH

Joan Clarke Stage

13:10 - 13:30 Big-Data.AI Summit
Next Generation IT Capacity Management Utilizing Advanced Analytics

Alexander Kaffenberger, Senior Business Development Manager Analytics & AI, Fujitsu

Hendrik Müller, Research Associate, Otto-von-Guericke-University Magdeburg

John McCarthy Stage

13:30 - 13:50 Big-Data.AI Summit
AI & ML: Here’s What’s Next in Retail

Michael Feindt, Chief Innovation Officer, Blue Yonder

Hari Seldon Stage

13:30 - 13:50 Big-Data.AI Summit
How Mobile Assistants & AI Transform Traditional Administration into a C2B Economy

Marius Gerwinn, CEO, fileee GmbH

John McCarthy Stage

13:30 - 13:50 Big-Data.AI Summit
Improved Execution of Data Driven Decisions with the Data Product Profile - on the Example of CEWE

Felix Kruse, Research Assistant , University of Oldenburg

Fatih-Mehmet Inel, Data Scientist , CEWE Stiftung & Co. KGaA

Joan Clarke Stage

13:30 - 13:50 Big-Data.AI Summit
Instalment Detector: Revealing the Transaction Footprint

Petr Pascenko, Chief Data Scientist, Profinit

Dominik Matula, Senior Data Scientist, Profinit

Grace Hopper Stage

13:45 - 14:15 Robotics
Robotics

Red Arena
13:50 - 14:10 Big-Data.AI Summit
AI in Practice: How even Complicated Processes in Service and Back-Office can be Intelligently Automated

Andreas Klug, Chief Marketing Officer, ITyX Solutions

John McCarthy Stage

13:50 - 14:10 Big-Data.AI Summit
Don’t Stop at Equality & Influencing! - Can AI being Even Better than Humans & Controlling our Life?

Stephan Reimann, Leading Technical Professional Big Data&Analytics , IBM

Hari Seldon Stage

13:50 - 14:10 Big-Data.AI Summit
Enterprise AI – Industrialize AI in an Enterprise Context

Sebastian Welter, Lead AI Architect DACH, Accenture

Jens Frühling, AI GTM Lead , Accenture

Joan Clarke Stage

13:50 - 14:10 Big-Data.AI Summit
How we All Can Benefit from Applying AI in Healthcare

Matthieu-P. Schapranow , Group Leader & Sc. Mgr. Digital Health Innovations, Hasso Plattner Institute

Grace Hopper Stage

14:10 - 14:30 Big-Data.AI Summit
AI for Targeted Image Diagnostics - The Case for Narrow and Effective Business Cases

Jaroslav Bláha, CEO, CellmatiQ GmbH

Grace Hopper Stage

14:10 - 14:30 Big-Data.AI Summit
Back to the Future: What we can Learn From HAL 9000

Stefan Holtel, AI Explainer, PricewaterhouseCoopers

Hari Seldon Stage

14:10 - 14:30 Big-Data.AI Summit
Cognitive Automation in the Professional Services: Practicing What You Preach

Guillaume Aimetti , Co-founder & CTO , Inspirient GmbH

John McCarthy Stage

14:10 - 14:30 Virtual Experiences
Future of Virtual Experiences

Judith Wiesinger, Management Team, MagicLeap

Black Arena

14:10 - 15:30
Learn how to build and scale intelligent service-rich applications with less custom code

Thomas Dyar, Product Specialist, Intersystems

Masterclass Space 1

14:10 - 14:30 Big-Data.AI Summit
Model Driven Decision-Making

Dirk Lerner, Founder, TEDAMOH

André Dörr, Data Engineer, Exasol

Joan Clarke Stage

14:10 - 15:30 Big-Data.AI Summit
Workshop | IBM | Pre-Registration Required

Masterclass Space 2

14:15 - 14:35 Transforming the Industries
Keynote

Frank Riemensperger, Chairman, Accenture Germany

Red Arena

14:30 - 14:50 Big-Data.AI Summit
Data Culture Development by Empowering Business Users with KNIME at Continental

Benjamin Hemminger, Key Account Manager - DACH Region, KNIME GmbH

Arne Beckhaus, Head of Big Data & Digital Transformation, Continental Teves

Joan Clarke Stage

14:30 - 14:50 Big-Data.AI Summit
Harnessing Memory-Driven Computing Architecture to Solve Critical Health Challenges

Hartmut Schultze, Memory-Driven Computing Evangelist und Engagement Manager, HPE

Grace Hopper Stage

14:30 - 14:50 Big-Data.AI Summit
Quality Whisperer – Self-learning AI Improves Production Quality in Complex Variant Processing

Gerhard Schaller, Senior Manager Factory Digitalization , ZF

Britta Hilt, Managing Director, IS Predict

Joan Clarke Stage

14:30 - 14:50 Big-Data.AI Summit
Rise of the Mindless Machines

Matthias Plaue, Chief Data Scientist, MAPEGY

Hari Seldon Stage

14:30 - 14:55 Virtual Experiences
Virtual Experiences

Black Arena

14:35 - 15:00 Transforming the Industries
Keynote

Stefan Unterlandstättner, CEO, Deutsche Kreditbank

Red Arena

14:50 - 15:10 Big-Data.AI Summit
AI in the FUJITSU Factory: Practical Experiences, Hurdles, Gains and Learnings

Alena Fojtík, Senior Data Scientist, Fujitsu

Steffen Link, Business Consultant, Fujitsu

Grace Hopper Stage

14:50 - 15:10 Big-Data.AI Summit
Data Science & AI in Daily Business – Hype or Already in Use?

John McCarthy Stage

14:50 - 15:10 Big-Data.AI Summit
Designing Ethical Innovation: New Methods for the Responsible Development of AI-Technologies

Simone Kaiser, Deputy Director, Center for Responsible Research and Innovation | Fraunhofer IAO

Johann Jakob Häußermann, Project Manager, Center for Responsible Research and Innovation | Fraunhofer IAO

Hari Seldon Stage

14:50 - 15:10 Big-Data.AI Summit
Managing Complexity of Big Data Workloads in Multi-Cloud Environments

Christina Kraus, Founder & Product Manager, meshcloud

Johannes Rudolph, Founder & CTO, meshcloud

Joan Clarke Stage

14:55 - 15:30 New Work
New Work

Black Arena

15:00 - 15:20 Transforming the Industries
Keynote

Christian Seifert, CEO, Deutsche Fußball Liga (German Football League)

Red Arena

15:10 - 15:30 Big-Data.AI Summit
Corporate Digital Responsibility and Decision Making - Guidelines on AI & Ethics

Rebekka Weiß, Head of Data Protection and Consumer Law, Bitkom

Hari Seldon Stage

15:10 - 15:30 Big-Data.AI Summit
From Ideas to Production - Lessons Learned from our Machine Learning Projects

Adriana Menegozzo, Data Scientist, Data Insights

Joan Clarke Stage

15:10 - 15:30 Big-Data.AI Summit
How to Build an Enterprise Platform for AI Workloads

Benjamin Ruland, Senior Consultant, Computacenter

John McCarthy Stage

15:10 - 15:30 Big-Data.AI Summit
Protect your Data: EnDec a Successful Use Case

Diego Marcheselli, Senior Big Data Engineer , Data Insights

Joan Clarke Stage

15:20 - 15:40 Transforming the Industries
Fireside Chat

Katri Harra-Salonen, CDO, Finnair

Red Arena

15:30 - 15:50 Big-Data.AI Summit
Converting AI Technologies into New Business Value

Richard Stechow, Innovation Consultant , BMI Lab

Georg von der Ropp, Managing Director , BMI Lab

Joan Clarke Stage

15:30 - 15:50 Big-Data.AI Summit
Extracing Explanations from Deep Neural Networks

Marco Huber, Head of Center for Cyber Cognitive Intelligence , Fraunhofer IPA

John McCarthy Stage

15:30 - 15:50 Big-Data.AI Summit
From Nucleus to Mainstream - How Advanced Analytics Became Reality @ ZF

Klaas Bollhoefer, Founder & Chief Strategist , Birds on Mars

Stefan Smolarek, Data and AI Scientist, ZF Friedrichshafen AG

Grace Hopper Stage

15:30 - 15:50 Big-Data.AI Summit
The Importance of Ethics in AI - Lessons Learned by Microsoft

Ralph Kemperdick, Digital Business Architect, Data, Microsoft Deutschland GmbH

Hari Seldon Stage

15:40 - 16:00 Transforming the Industries
Keynote

Tim Zanni, Global Technology Sector Leader and Chair of Global TMT Line of Business, KPMG in the U.S.

Red Arena

15:50 - 16:10 Big-Data.AI Summit
Augmented Intelligence - A Human-Machine Marriage on our Way to Complete Automation

Simon Stiebellehner, Data Scientist , craftworks

Hari Seldon Stage

15:50 - 16:10 Big-Data.AI Summit
Creating Train Stations of the Future with IoT & Data Analytics

Georg Walter, Data Scientist, DB Station&Service

Grace Hopper Stage

15:50 - 16:30 Education & Innovation
Education & Innovation

Black Arena

15:50 - 16:10 Big-Data.AI Summit
Robust and Scalable ETL on Big Data with Apache Spark

Hitesh Sahni , Head of Big Data and Cloud Computing, Adastra GmbH

John McCarthy Stage

15:50 - 16:10 Big-Data.AI Summit
Voice-Based Scaling of Comdirects Business Model

Dietmar von Bluecher, CFO, comdirect

Joan Clarke Stage

16:00 - 16:30
Fireside Chat

Katarina Barley, Federal Minister of Justice and Consumer Protection

Red Arena

16:10 - 16:30 Big-Data.AI Summit
AI-Based Disposition Using a Reinforcement Learning Approach

Thomas Thiele, AI Expert, Deutsche Bahn AG

Grace Hopper Stage

16:10 - 16:30 Big-Data.AI Summit
Chatbot as a Marketing Tool

Nemanja Ninković , Software engineer , Zühlke

Joan Clarke Stage

16:10 - 16:30 Big-Data.AI Summit
Future Roles in AI-enabled Organisations

Georg Wittenburg, Co-founder & CEO, Inspirient GmbH

Barbara Lix, Owner, Barbara Lix Consulting

Hari Seldon Stage

16:10 - 16:30 Big-Data.AI Summit
Machine Learning and Artificial Intelligence for Business Applications — Recent Developments

Martin Spindler, University Professor , University of Hamburg and Economic AI

John McCarthy Stage

16:30 - 16:50 Big-Data.AI Summit
How to Make your AI Ethics-Proof? A Primer

Matthias Spielkamp, Executive Director, AlgorithmWatch

Hari Seldon Stage

16:30 - 16:50 Big-Data.AI Summit
IKA – Intelligent Knowledge Assistant to Support the Process Industry

Benedikt Schmidt, Senior Scientist, ABB AG

Joan Clarke Stage

16:30 - 18:00 Innovators’ Pitch
Innovators’ Pitch

Dirk Wagener, Chief Digital Officer, Cornelsen

Eva Zauke, VP Digital Supply Chain & Head of the SAP Startup Accelerator , SAP

Max Eichhorn, Siemens Mobility, Global Head of Business Development & Strategy

Red Arena

16:30 - 17:00 Closing
Keynote

Anja Karliczek, Federal Minister for Education and Research

Black Arena

16:30 - 16:50 Big-Data.AI Summit
Worldwide Gathering & Analysis of Large-Scale Measurement Data Presentation

Christoph Jung, Principal Architect, T-Systems International GmbH

Daniel Arnold, Project Lead , Daimler AG

John McCarthy Stage

16:50 - 17:10 Big-Data.AI Summit
Making AI Real - A Practitioners Experience on Insurance Claims Transformation

Viswanathan Narayanan, Head - AI & Cognitive Digital Solutions , Larsen & Toubro Infotech Limited - LTI

Joan Clarke Stage

16:50 - 17:30 Big-Data.AI Summit
Panel | Social Consequences

Hari Seldon Stage

16:50 - 17:10 Big-Data.AI Summit
Predicting Car2X Connectivity: A Data Driven Deep Learning Approach

Paul Balzer, CEO, MechLab Engineering

Grace Hopper Stage

17:10 - 17:30 Big-Data.AI Summit
AI and Bicycles: How to Make Bike Sharing Smart

Lillian van Someren Greve, Data Scientist, Pivigo

Grace Hopper Stage

17:10 - 17:30 Big-Data.AI Summit
Real-Time Face Anonymization Without Loss of Facial Information

Daniel Reppel, Scrum Master, IAV Digital Lab

Mirko Knaak, Product owner AI, IAV Digital Lab

John McCarthy Stage

17:10 - 17:30 Big-Data.AI Summit
Using AI-Driven Communication to Streamline Compliance

Alexander Siebert, CEO & Founder, Retresco

Ulrich Pöttgens, Director Digital, Commerzbank

Joan Clarke Stage

P.S.

Quizz-Frage: Wer sind die Männer und die eine Frau, nach denen die Bühnen-Plätze benannt wurden? Hier gibt es die Antworten, jeweils als Link auf die "Original"-Wikipedia-Einträge und als Zitat auf das, was die Veranstalter daraus gemacht haben:

Joan Clarke:

Joan Clarke’s ingenious work as a codebreaker during WW2 saved countless lives, and her talents were formidable enough to command the respect of some of the greatest minds of the 20th Century, despite the sexism of the time. To honor her essential work, her stage takes on the most disruptive innovations for the future of big data and AI.

John McCarty:

John McCarty was one of the fathers of Artificial Intelligence as we now it today. On this stage we honor his legacy and give the leading experts of AI the chance to discuss the trends and application of big data and AI across various industries.

John McCarthy was born in Boston, Massachusetts, in 1927. He received a BS in mathematics from Caltech (1948) and a PhD, also in mathematics, from Princeton University (1951). McCarthy was a pioneer in the fields of artificial intelligence (AI), computer science, and interactive computing systems.

Grace Murray Hopper:

Grace Murray Hopper (born December 9, 1906, New York, died January 1, 1992, Arlington Virginia) was a pioneer in developing computer technology. The stage, dedicated to her work showcases the application of big data and AI technologies for various industries.

After graduating from Vassar College (B.A., 1928), Hopper attended Yale University (M.A., 1930; Ph.D., 1934). She taught mathematics at Vassar before joining the Naval Reserve in 1943. She became a lieutenant and was assigned to the Bureau of Ordnance’s Computation Project at Harvard University(1944), where she worked on Mark I, the first large-scale automatic calculator and a precursor of electronic computers. She remained at Harvard as a civilian research fellow while maintaining her naval career as a reservist. After a moth infiltrated the circuits of Mark I, she coined the term bug to refer to unexplained computer failures.

Hari Seldon:

In his capacity as mathematics professor at Streeling University on the planet Trantor, Seldon develops psychohistory, an algorithmic science that allows him to predict the future in probabilistic terms. On the basis of his psychohistory he is able to predict the eventual fall of the Galactic Empire and to develop a means to shorten the millennia of chaos to follow. The significance of his discoveries lies behind his nickname "Raven" Seldon.

Of course Science Fiction and the creativity of fans around the globe was an integral part of AI advancement. The Hari Seldon Stage faces the impact on society and politics of AI and big data, showcases the most exciting use-cases, and discusses the latest trends for various industries.

Anmerkungen

[1An diesem Tag wurde auch der Wunsch auf Akkreditierung übermittelt. Die Antwort: "Thank you. We are reviewing your accreditation and will get back to you as soon as possible."


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