Profitieren Sie

Handelsblatt KI Summit Digital Edition – Ihre Vorteile

Sie profitieren von mehr Auswahl und größerer Flexibilität. Seien Sie live dabei oder schauen sie sich einzelne Sessions in Ruhe später an. Alle Sessions werden aufgezeichnet, alle Unterlagen erhalten Sie zum Download.

2 Wochen gezieltes Networking

  • Treffen Sie Ihre Wunschkontakte: Mit unserer Business Matching Funktion haben Sie Zugang zu einem gezielten Networking mit allen Teilnehmern und Referenten: Sie stellen bereits vor der Tagung Ihr Profil ein und geben Zeitslots vor, in denen Sie für Gespräche zur Verfügung stehen bzw. verabreden sich bereits zielgerichtet mit Ihren Wunschpartnern.
  • Finden Sie Ideen und Partner für neue Geschäftsmodelle: Unter dem Schlagwort „AI ready to use“ stellen ausgesuchte Innovatoren und Startups ihre Lösungen vor und zeigen bereits erfolgreiche Anwendungen. Wählen Sie die für Sie interessanten Produktvorführungen aus und treffen Sie Ihre potenziellen Partner in der Networking Lounge.
  • Ihre Matching Partner: C-Level Executives und fachliche Führung im Unternehmen. VP/Director R&D, AI Lab, Business Development, Digital Solutions, Innovation sowie Start-ups und Ideengeber aus allen Branchen mit dem Ziel, über Best Practices und Benchmarks voneinander zu lernen, sich zu inspirieren und neue Partner zu finden.

6 Perspektiven herausragender internationaler Persönlichkeiten

22.09.2020

Die Forscher

Authors of the recent book „Competing in the Age of AI: Strategy and Leadership – When Algorithms and Networks Run the World“

Zum Programm

Keynotes
23.09.2020

Die Globalistin

Named one of the top 25 Women in Robotics (Robohub 2017)

Zum Programm

Keynotes
23.09.2020

Der Pionier

Multiple entrepreneur of the year and “Most Admired CEO Lifetime Achievement Award”

Zum Programm

Keynotes
23.09.2020

Die Wertschöpferin

Passionately works with clients to scale Artificial Intelligence so it infuses everything they do, creating AI-driven, data-centric, intelligent enterprises that leverage the positive business outcomes of AI.

Zum Programm

Keynotes
30.09.2020

Der Visionär

Named as one of the 25 people shaping the next 25 years of technology (WIRED)

Zum Programm

Keynotes

6 Best Practice Berichte von Vorreitern der KI in Deutschland und Europa

23.09.2020

AI FIRST STRATEGY

Bosch: Wie gelingt die Maximallösung
Siemens: Wie ist die Datenstrategie

Zum Programm

Best Practice
16.09.2020

AI@SCALE

MUNICH RE: Globale Industrialisierung
EnBW: Von der Einzelmaßnahme zur globalen Transformation
applied.AI: Deep Dive Skalierung

Zum Programm

Best Practice

FUTURE TALKS

15.09.2020

Wie skalieren wir Innovation?

Best Practice
22.09.2020

AI & Robotics: From space to healthcare

Best Practice
22.09.2020

Diagnose Zukunft – Gesundheit. Neu gedacht.

DEEP DIVES TECH

28.09.2020

Large Scale Machine Learning
Text to Speech Synthesis
Text- und Dokumenten-Mining
Process Mining
Prozesseffizienz

Zum Programm

PANEL

23.09.2020

Wie erreichen wir Exzellenz in Deutschland?

30.09.2020

DATA DEMOCRACY

FIRESIDE CHAT

23.09.2020

Fireside Chat

AI READY TO USE PRODUCT SESSIONS

16.09.2020

AI ready to use sessions

23.09.2020

AI ready to use sessions

Professor Karim R. Lakhani

Harvard Business School

Professor Marco Iansiti

Harvard Business School
Firth-Butterfield

Kay Firth-Butterfield

Head of AI and Machine Learning at the World Economic Forum

Kay Firth-Butterfield
Is a Barrister-at-Law and former Part-Time Judge, United Kingdom. In the US, has been a Professor of Law and International Relations. Associate Fellow, Centre for the Future of Intelligence, University of Cambridge; Fellow, Robert E. Strauss Center on international Security and Law, University of Texas. Vice-Chair, IEEE Initiative on Ethics of Autonomous and Intelligent Systems. Co-founded AI-Austin, AI-Global and the Consortium for Law and Policy of Artificial Intelligence and Robotics. Named one of the top 25 Women in Robotics, Robohub (2017).

Thomas M. Siebel

Thomas M. Siebel

Chairman and CEO, C3.ai

Thomas M. Siebel multiple entrepreneur of the year and “Most Admired CEO Lifetime Achievement Award“, San Francisco Business Times, 2016

Mr. Siebel is the founder and chief executive officer of C3.ai, a computer software company that provides a Platform as a Service (PaaS) and Software as a Service (SaaS) applications for rapidly developing and operating enterprise-scale big data, predictive analytics, AI, and IoT solutions.

Mr. Siebel was the founder and chief executive officer of Siebel Systems, one of the world’s leading software companies. Founded in 1993, Siebel Systems pioneered the CRM software market, becoming the global leader with more than 8,000 employees in 32 countries, over 4,500 corporate customers, and annual revenue in excess of $2 billion in less than seven years. Siebel Systems merged with Oracle Corporation in January 2006.

Mr. Siebel is the chairman of the Thomas and Stacey Siebel Foundation, and serves on the College of Engineering boards at the University of Illinois and the University of California, Berkeley. He is a director of the Hoover Institution at Stanford University and is a member of the American Academy of Arts and Sciences.

Mr. Siebel is a graduate of the University of Illinois at Urbana-Champaign, where he received a Bachelor of Arts in History, an M.B.A., and a Master of Science in Computer Science. He is the author of four books, including most recently the best-selling Digital Transformation: Survive and Thrive in an Era of Mass Extinction (RosettaBooks, 2019).

Anne-Laure Thieullent

Anne-Laure Thieullent

Vice President, Artificial Intelligence & Analytics Group Offer Leader, Capgemini

Anne-Laure Thieullent leads Perform AI, Capgemini’s Artificial Intelligence & Analytics group offer.

Anne-Laure works with clients to scale Artificial Intelligence so it infuses everything they do, and they become AI-driven, data-centric and innovative. With 20 years of experience in big data, analytics and AI systems, from design to production roll-out, her passion is to bring companies what they need to transform themselves into intelligent enterprises.

She is committed to guiding clients to increase activating their data, while cultivating the values of trust, privacy and fairness. This is the foundation on which technology, business transformation and governance come together, to leverage the positive business outcomes of AI.

Glen Weyl

Glen Weyl

Microsoft’s Office of the Chief Technology Officer Political Economist and Social Technologist, author and visioner

Glen Weyl
graduated Valedictorian of Princeton undergraduate in 2007 and received his PhD in economics in 2008. Before joining Microsoft he was a Junior Fellow at the Harvard Society of Fellows and an Assistant Professor at University of Chicago. The research he developed during this time and five years at the New England and New York City Research labs spans and combines economics, law, computer science, philosophy, political science and biology and has been published in leading journals in those fields.

Recently, and especially since the publication last year of his book with Eric Posner Radical Markets: Uprooting Capitalism and Democracy for a Just Society, he has focused on using new computer and economic technology to create a radically more equal and cooperative society.

Glen has been recognized for the impact of this work, for example being named one of Bloomberg Businessweek’s 50 most influential people of 2018 and by WIRED as one of the 25 people shaping the next 25 years of technology. To institutionalize and collaborate on this work, Glen founded and serves as chair of the RadicalxChange Foundation, which fosters collaboration between scholars, technologists, activists and artists to imagine and create a radically more cooperative society.

He is currently Microsoft’s Office of the Chief Technology Officer Political Economist and Social Technologist (OCTOPEST), advising the company on the future of technology in relationship to political and economic change and managing a research group focused on fostering a vision of technology to support pluralistic collaboration rather than automation.