Ádám Domján
T-Systems Hungary
After completing my master’s degree in integration of IT systems I started my work in web technologies. Soon I found myself in the world of contact centers and I haven’t been able to get out of it ever since: A new challenge is always to be found in a world where masses of system components must communicate via myriads of protocols to produce a seamless and transparent user experience. I have been working with voice response systems since 2007 developing voice applications and integrated solutions in several international projects across Europe, Asia and Africa while also contributing to the design and development of T-Systems’ proprietary voice response framework (AIF). I am currently working as the lead product developer of Vanda, our omni-channel artificially intelligent virtual assistant.
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15:10 - 15:15 | VANDA - E2C Virtual Assistant |
Arthur Keleti
T-Systems
Arthur Keleti, cyber-secret futurist, is widely-respected around the world as an expert on cyber security, and a visionary in his field. More than twenty years of working for leading financial and telecommunication companies in the role of business development, communication and cyber security manager, has molded him into a forward-thinking specialist in his profession. Today he works for T-Systems Hungary, where he has served as IT Security Strategist since 1999. He is the founder of the long running East-European cyber security grand conf-expo: ITBN (Infosec, Trends, Buzz and Networking.) Arthur Keleti is also the President and founder of the Voluntary Cyber Defence Collaboration, a civil organization of cyber security professionals supporting critical infrastructures. He has a broad view and understanding of the global IT Security market, which he actively helps to grow and develop. He is particularly interested in the ever changing world of corporate and private security issues, keeping a watchful eye on the upcoming events of our near future, and its sometimes frightening and alienating tendencies.
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11:40 - 12:00 | "Hush of the Machine" - Is AI a prospect for protecting the future of our privacy and secrets? |
Christopher Mattheisen
Chief Executive Officer, Magyar Telekom
Mr. Mattheisen studied economics at Indiana University of Bloomington and at Columbia University. He first came to Hungary in 1990 to start a strategic planning and business consulting company. In 1993, in his capacity as a marketing manager of U.S. West International, Mr. Mattheisen helped launch various Hungarian, Polish and Czech mobile service operators. He worked as the marketing and sales director of Westel 900 (TMH) between 1993 and 1996. Between 1997 and 1999, he ran sales and marketing activities of MediaOne in London and later worked in Britain as a business, sales and marketing director of BT’s Cellnet. In September 2002, Mr. Mattheisen became Chief Officer of Residential Services of Magyar Telekom and in January 2005, Chief Officer of the Wireline Lines of Business (“T-Com”, including Residential Services, Internet and Network divisions). From December 6, 2006, Mr. Mattheisen has been the Chief Executive Officer of Magyar Telekom.
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09:05 - 09:15 | Opening Address - video message |
Dominic Siedhoff
T-Systems International
- During my years of study I specialized in image processing and computer vision (diploma from TU Dortmund University)
- I liked these topics a lot and became a researcher in that field. In that research, I used machine learning and computer vision to detect biological viruses. The data to be analyzed was produced by a novel microscope, developed within a collaborative research center (PhD in 2016)
- After that I did one year of postdoctoral research with a shift from supervised to unsupervised machine learning and taught courses on metaheuristic optimization, programming and software engineering.
- Since October 2017 I am working as a data scientist at T-Systems.
- My current projects include the train delay prediction to be presented here, and predictive maintenance for our data centers. Both projects rely heavily on distributed computing (Hadoop stack) and on machine learning.
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13:45 - 13:50 | Predicting Train Delay with AI/ML |
Dr. Ali Bahramisharif
CEO, Machine2Learn
Ali Bahramisharif is a co-founder and CEO of Machine2Learn. He holds a multidisciplinary PhD in machine learning and brain science. He is a former assistant professor at the Amsterdam medical hospital (AMC), and a former team lead at Scyfer.
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11:00 - 11:20 | How business can change with AI |
Dr. Anastassia Lauterbach
Technology Entrepreneur and Venture Partner, Analytics Ventures
Dr. Anastassia Lauterbach, has served as director of Dun&Bradstreet since 2013, and is member of the Nomination and Chairwoman of Technology & Innnovation Committee. Dr. Lauterbach served as SVP Europe at Qualcomm, a world leader in wireless technologies, from 2011 to 2013. Previously, she served at Deutsche Telekom AG, an international telecommunication provider, as SVP Business Development and Investments from 2010 to 2011, Acting Products and Innovation Officer from 2009 to 2010. During her time at Deutsche Telekom she additionally served as a member of the Executive Operating Board. Prior to Deutsche Telekom she served as Executive Vice President, Group Strategy at T-Mobile International AG from 2006 to 2010, and prior to T-Mobile, she served from 1996 to 2006 in various operational and strategic roles at Daimler Chrysler Financial Services, McKinsey & Company and Munich Reinsurance Company. She is the Chief Executive Officer and Founder of 1AU-Ventures and currently serves on Advisory and Supervisory Boards of several U.S. and European based AI and cybersecurity companies and Investment Funds, e.g. Evolution Partners and Analytics Ventures. She is Senior Advisor on Artificial Intelligence at McKinsey & Company. She trains boards in cybersecurity and cognitive/ AI and robotics related technologies and their links to corporate governance. Dr. Lauterbach serves at the Advisory Council Next Generation Board Leaders at Nasdaq. She is leading author in “Artificial Intelligence Imperative. A Roadmap for Businesses”. The book will be published by Praeger in April 2018 and receive an excellent preview by Ian Bremmer. Dr. Lauterbach contributes several chapters to the book “Artificial Intelligence and Law” by American Bar Association, which will be published End of 2018.
Dr. Lauterbach sold three companies operating in analytics, A.I. and IoT in 2013, 2015 and 2017.
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09:55 - 10:15 | Artificial Intelligence in Business. Artificial Intelligence as a Business |
Dr. Kim Kyllesbech Larsen
Chief Technology and IT Officer, Magyar Telekom
Dr. Kim Kyllesbech Larsen joins the Company from Deutsche Telekom, where he most recently served as Senior Vice President – Technology Economics & Transformation as well as Technology Architecture & Innovation. Prior to this, he acted as Ooredoo Group’s (formerly Qtel) Director of Network Technology Office and CTIO in Myanmar. From 1999 to 2012, Dr. Larsen held a number of senior management positions within the Deutsche Telekom Group, including Executive Vice President - Head of Technology Office of T-Mobile International and Head of Technology Economics & Services of Deutsche Telekom. During this time, he was responsible for the takeover of the Technology segment of Orange Netherlands, the most successful merger & integration project within Deutsche Telekom to date.
Dr. Larsen joined Deutsche Telekom following nearly a decade of academic experience in Denmark, the Netherlands, Belgium and Italy. He has a M.Sc. degree in physics and mathematics and a Ph.D. in physics from Aarhus University, Denmark
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09:35 - 09:55 | How do we Humans perceive Artificial Intelligence? |
16:55 - 17:10 | Closing of Conference |
Ferenc Szalai
CTO, Navega Strategies
Ferenc is a physicist, entrepreneur and investor. In the last two decades, he founded and advised companies in various fields of distributed computing, biotech, internet of things and fintech.
He published articles in peer-reviewed journals in the field of computational evolutionary biology, molecular modelling, sonoluminescence, simulation of granular materials, grid and high-performance computing, computer science and economics.
Currently, He is focusing on helping organizations to turn the new advances in machine learning and artificial intelligence into practical business applications.
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12:00 - 12:20 | AI mythbusting |
Gergely Debreczeni
Chief Scientist, Aimotive
Gergely Debreczeni graduated as physicist at the Eotvos Lorand University. After receiving his Ph.D. in particle physics he worked 4 year at Geneva, CERN (European Organisation for Nuclear Research), participating in the coordinaton of the development of the LHC’s (Large Hadron Collider) data collection and processing network. From 2008 while leading the Gravitational Research Group of the Wigner Research Insitute of HAS and From he joined the LIGO - Virgo collaboration as a researcher and later become the Computing Coordinator of the experiment, contributing to the discovery of Gravitational Waves. For this achievement he was awarded with the Special Breakthrough Prize in Fundamental Physics. Currently acts as Chief Scientist of Aimotive.
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16:35 - 16:55 | Autonomous Driving - prospects and challenges |
László Grad-Gyenge
CREO Group
László is a born researcher. He constantly analyses his environment thinking about the essence and abstraction of human and artificial structures he is meeting with. As he is partly a mathematician, this thing is quite normal for him. László also runs an innovative software company where his research is applied in commercial start-up projects and applications. He is very interested in innovation. His company is based on his several innovative solutions. László also likes art in all of its forms. He is also an active photographer. He says his art is influenced by contemporary and twentieth century works.
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15:00 - 15:05 | The Mediabubble project |
László Szilágyi
Ericsson
Laszlo (MSc Electrical Engineering) is driving proof of concept projects to seek solutions for business problems related to 5G and IoT with emerging technologies including AI, distributed cloud and augmented reality. These projects are revolving around demanding IoT use cases which require solid connectivity and computation power to provide distributed machine intelligence for cases including intelligent transport systems, public safety and industrial robotics.
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13:35 - 13:40 | Internet of Eyes |
Richárd Nagyfi
Kitchen Budapest, Innovation Lab of T-Systems Hungary
Richard Nagyfi is data scientist and researcher at Kitchen Budapest, Open Innovation Laboratory of T-systems Hungary. He is a graduate student at the ELTE Sociology Department, his PhD thesis aims to revisit experiments in social psychology via the means of Virtual Reality technology.
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16:15 - 16:35 | Trainging 2038 - Ethics of Artificial Intelligence |
Robert Byssz
Phillips
Robert joined Philips four years ago. In his current role he is responsible for the sales transformation globally. With this transformation the company is impacting close to 4500 sales people in over 100 countries, with enabling them to be successful in a more digital environment than what they are faced with today. Close to 50% of the total revenue of Philips, i.e. apprx. 11 Bn EUR is coming from the healthcare sector globally, in which sector all analysts expect a huge transformation in the coming 5-10 years. Philips is leading the pack beyond its own industry when it comes to digital transformation, which started in 2011, and the results of which are clearly visible not only in the financial numbers, and organizational set-up but deep in the culture and behavior of the teams. Fortune named Philips global CEO as one of the top 20 CEOs of the globe last December based on the clear improvement the company achieved under his leadership.
Robert was invited to his current role after the great success the teams achieved in CEE when in the first year they managed to increase EBIT by 14%, followed by a 20%+ CSG in the coming years.
He joined Philips after 10 successful years at Hungarian Telekom, where he started his journey as a trainee at Westel and in his last position he was the deputy director of Small and Medium Business Sales Directorate. In 2007 he was member of the team, which designed and deployed the new operating model, in which Telekom merged all its subsidiaries under the umbrella of “T”. As he recalls this was the start of his never-ending endeavor to master the fields of change management, transformation, understanding the future ways of work and modern leadership. He spends all his leisure time with his two daughters and wife. They started their own transformation journey when purely driven by health consciousness they turned to a whole, plant based diet, which they became proud advocates of.
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11:20 - 11:40 | Data Driven decision making |
Susan Wegner
Deutsche Telekom
Dr. Susan Wegner (CDataO) is responsible for data governance, management, architecture, AI and analytics. This includes to establish a company-wide data governance & management program, drive data analytics&AI strategy forward, leverage initiatives of existing shared competencies and have the focus on the effective exploitation of data and analytics to deliver business value.
Susan brings with her more than 20 years of experience especially in the fields of platform/software design, image processing, data analysis and artificial intelligence. Before she joined Deutsche Telekom Group in 2000, she worked in various companies (German Heart Institute Berlin, Robert Bosch) as Expert for Image Segmentation focusing on Data Analytics and Artificial Intelligence – her PhD topic - and Software Engineer for driver information systems. In 2008, Susan joined Telekom Innovation Laboratories starting to work on Customer/Data Analytics topics again. In 2011, she became Vice President Smart Data Analytics & Communication at Telekom Innovation Laboratories. In addition, she has held different positions within the Motionlogic Advisory Board since 2013, subsidiary of Deutsche Telekom Group and since 2015 she has been Managing Board Member of the Bitkom Big Data Group.
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09:15 - 09:25 | No Intelligence without Data |
Wolfgang Wölker
Deutsche Telekom - Technology & Innovation
Wolfgang Wölker promotes Artificial Intelligence and esp. Applied Machine Learning for Network Architecture at Deutsche Telekom, where he gets involved with the company's framework on network planning, network management and network optimization. As part of Technology Innovation at Deutsche Telekom, Wolfgang is focused on the balance between innovative and disruptive technologies vs. standardized solutions. He brings with him about 20 years of experience in technology, science and industry and a background in telecommunications, software engineering and innovation. Wolfgang got his PhD at the University of Hannover (Germany) with his work on artificial intelligence applied on image processing.
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13:40 - 13:45 | AI/ML applied on automated operations and customer behavior driven service optimization |
Zoltán Biczó
Stratis Ltd.
Zoltán Biczó is the data science fellow of Stratis Ltd. a Hungary based IT consultancy. He has held numerous presentations and meetups in the field of data science, machine learning and AI. His approach is based on more than 6 years of experience on the respected fields, while having 10 years of experience in business intelligence and datamining.
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15:05 - 15:10 | Building a recommendation engine on a real time data warehouse with streaming data |