볼프강 도르스트 (Wolfgang Dorst)
Keynote 1: Industrie 4.0 - Digital Utopia or Real Business Case for Big & Small Companies?
독일 정보통신협회
사무국장
- Structure of the traditional core of German industry and its excellent international position will converge with the advent of internet technologies.
- Industrie 4.0 is also of relevance to SMEs itself and its full-fledged implementation in reality is years ahead.
- The paradigm shift in industrial production and intelligent products creates the opportunity to increase productivity, flexibility and quality in many different economic regions.
- 독일 플랫폼 인더스트리 4.0 기구의 기획 및 운영의 핵심 주역
- 랩스 네트워크 인더스트리 4.0 e.V. 이사
자비에르 푸제 (Xavier Fouger)
Keynote 2: Digital Esperanto
다쏘 시스템 / 글로벌 아카데미아 프로그램스
Senior Director
Beyond bad English language, digital models of new products and services constitute a tremendously rich communication means for the global engineering community. National Manufacturing Initiatives are making the need for teaching and learning this language –an engineering digital Esperanto- more acute than ever. Personalized production techniques, distributed engineering and manufacturing, smart production facilities, globally dispersed stakeholders are some characteristics of the new industry that determine new competences in engineers. They are all enabled by the existence and use of a digital environment that provides a high fidelity representation of objects and their production system. Permanently connected to their physical avatars, those representations anticipate and drive the behavior of “things” but also continually digest information provided by actual devices to represent their real status in operation. These environments create the “virtual twin” of the simplest gadgets to the most complex industrial structures. Because it is digital and reproduces reality as closely as possible, the virtual twin provides an affordable and realistic context for educators seeking to make practices of the new economy an integral part of their students’ learning experience.
- IFEES(International Federation of Engineering Education Societies), GEDC(Global Engineering Dean’s Council)의 창립멤버
- 前 비엔나 과학분야 외교 보좌관
마티아스 바흐렌도프 (Matthias Wahrendorff)
Keynote 3: The 4th Industrial Revolution & Smart Services Opportunities
액센츄어 / 글로벌 인더스트리얼 IoT 리서치
Lead
Technological innovation shaped the change in Industrial industries
• Wave 1: Introduction of mechanical production facilities with the help of water and steam power
• Wave 2: Introduction of division of labor concept and industrial mass production with the help of electrical energy
• Wave 3: CAD, CAM and the use of electronic and IT systems that further automate production
• Wave 4: Digitalization of manufacturing and the use of cyber physical systems
Digital technologies drive the Industrial environment in the “New”, enabling the Industrial Internet of Things (IIoT)
• The IIoT is the network of dedicated physical objects (things) that contain embedded technology to sense or interact with their internal state or external environment.
• The IIoT comprises an ecosystem that includes industrial things, communication, applications and data analysis.
- 독일 액센츄어 엑셀런스 인더스트리얼 IoT 센터 리더십 팀 멤버
- 뮌휀 대학교 MBA
귄터 클롭쉬 (Guenther Klopsch)
Session 1.1: On the way to Smart Factory – Driving the Digital Enterprise
지멘스 코리아 / 디지털 팩토리, 공정산업 및 드라이브 사업본부
대표
- Siemens’ innovative solution and leading technology which prepare for the future of manufacturing
- Companies have to respond to the change in both customers' expectations and technical capabilities – with substantially shorter times to market, significantly greater flexibility, and individualized mass production.
- In the digital factory of the future, horizontally design and service of the product life cycle are integrated, and vertically the factory (shop floor) and the management level (top floor) merge into one continent.
- 前 한국 지멘스 인더스트리 부문 총괄 대표
- 前 독일 함부르크 북부지역 지멘스 인더스트리 부문 부사장
임정우 (JoungWoo Lim)
Session 1.2: Strategy & Implementation of a Smart Factory
SK C&C / 스마트 팩토리 사업개발팀
팀장
- An IoT platform plays a major role in order to collect status data in the equipment, which is the base unit of a factory. This is a fundamental factor to implement the Smart Factory concept.
- A global standard for various industrial data has been establishing in order to cover it; to standardize and integrate security policies and integrity in wire and wireless communication environment.
- Once the 5G age arrives, it is expected that real-time data in the Smart Factory can resolve current network constraints such as data communication buffering in shared use of the network infrastructure and wireless network vulnerable to cyber-attack.
- 연세대학교 기술정책과정 박사수료
- 뉴욕주립대 MBA
해리 북사노빅 (Harry Vuksanovic)
Session 1.3: Shaping the Future: Festo Bionic Learning Network & Industrie 4.0 in Practice
훼스토 / 전자기술 & 조립 세그먼트 - 아시아 태평양
이사
With its Bionic Learning Network, Festo is deriving inspiration from nature for the development of exciting new, pioneering approaches to factory and process automation of the future. Decentralised systems intelligence plays a significant role here along with cooperative behaviour, networking, functional integration, miniaturisation, the reconfiguration of movement sequences and processes, and condition monitoring. The BionicOpter, for example, is an ultra-lightweight flight object based on the dragonfly. Just like its natural model, it can fly in any spatial direction and execute very intricate aerial manoeuvres. Nevertheless, this highly integrated system can be simply and intuitively operated by smartphone.
- 前 훼스토 (독일본사) 제품 담당 책임자
- 前 지멘스 마이크로칩 프로그래밍
최승진 (SeungJin Choi)
Session 2.1: Modern Deep Learning
포항공대 / 컴퓨터 공학과
교수
- Overview of deep learning and why it is so popular nowadays
- A big success has been observed in speech recognition, visual recognition, and machine translation. In fact, these are related to perception, leading that deep learning has been successful in seeing, hearing, and reading.
- Where deep learning is used to model the generation process of data. In contrast to discriminative models, deep generative models are trained with unlabeled data, leading to various applications such as data imputation, image generation, semi-supervised learning, one-shot generalization, and so on.
- 미래부 기계학습 연구센터, 센터장
- 정보과학회 머신러닝 연구회, 초대위원장
김승종 (SeungJong Kim)
Session 2.2: Robo-advisor 2.0 Digital Wealth Managent
쿼터백 테크놀로지스
대표
- Korea's average retirement age of 53 vs. average life expectancy of 81.3
- Life after retirement accounts 35% of individual's lifespan
- Algorithm based-asset management service has been growing rapidly
- Robo advisor is heading to 2.0 generation where it offers lifetime asset allocation service reflecting more complex individual's needs.
- Demand for Automated wealth management solution should take off with introduction of an IFA (Independent Financial Advisors)
- 前 와이즈엔프엔 투자분석시스템 사업본부장 (공동창업)
- 前 키움증권 리서치센터 계량분석팀장
안경훈 (David KyungHoon Ahn)
Session 2.3: O2O Commerce Platform & Big Data
얍 컴퍼니
대표
Transactions over O2O commerce platforms continue to rise at a rapid speed with O2O based transactions in the retail and F&B industry compromising over 40% of all sales. O2O commerce platforms allow for accurate accumulation of valuable user data, including searches, reservations, payments, profiles, historical traces, reactions and consumer logs. Once collected, user data is analyzed and patterns are recognized through Big Data analytics, resulting in highly accurate and superior services and ultimately, for more data accumulation. The player who is able to organize Big Data will become the dominant market organizer.
- 핀테크특별위원회 위원장
- 한국 ICT위원회 위원장
- 창조경제활성화특별위원회 위원장
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