These are the slides I used at my key note speech at the NASSCOM Engineering Summit on October 7, 2015, in Pune, India. The presentation sets Industry 4.0 in context of smart services and points to the key role data plays.
Industrial Data Space: Digital Sovereignty for Industry 4.0 and Smart ServicesBoris Otto
The presentation takes a look on the digitization of the industrial enterprise, linking Industry 4.0 and Smart Service activities. It points out the crucial role of data for future business success and positions the Industrial Data Space as a collaborative approach to securely exchange and easily link data within business ecosystems. The presentation was given at the Manufacturing Analytics workshop organized by the Insitute of Manufacturing at the University of Cambridge on February 1st, 2016.
The Industrial Data Space aims at establishing a virtual data space in which partners in business ecosystems can securely exchange and easily link their data assets. The presentation puts the Industrial Data Space in the context of recent developments in the area of Smart Service Welt and Industrie 4.0 and sketches a reference architecture model and functional software components. Furthermore, the presentation introduces the Industrial Data Space Association which institutionalizes the user requirements and drives standardization. The presentation was given at the Industry 4.0 session at MACH 2016 on April 14, 2016, in Birmingham, UK.
YOUR SMART WAY TO MORE ADDED VALUE
Digitalisation is a social, economic and technical trend impacting on and including all business sectors. The importance and added value of internet-based services on the basis of intelligent networked data is constantly
on the increase. INDUSTRIAL DATA SPACE makes it simple for companies to use data as a basis for
new sustainable business models.
The workshop "Platforms for connected Factories of the Future" took place on 5 and 6 of October 2015 in Brussels. Main objective on the first workshop day was to give an overview on existing activities in industries and research regarding platforms for the manufacturing area.
The Industrial Data Space is a strategic initiative driven by industry and supported by the German Federal Government. It aims at supporting the secure exchange and easy combination of data within ecosystems.
Industrial Data Space - Why we need a European Initiative on Data SovereigntyThorsten Huelsmann
IDS stands for safer data exchange between companies where the producer of data remains the owner of the data and maintains sovereignty over the use of that data.
IDS Association aims to define the conditions and governance for a reference architecture and interfaces aiming at international standards.
Industrial Data Space: Digital Sovereignty for Industry 4.0 and Smart ServicesBoris Otto
The presentation takes a look on the digitization of the industrial enterprise, linking Industry 4.0 and Smart Service activities. It points out the crucial role of data for future business success and positions the Industrial Data Space as a collaborative approach to securely exchange and easily link data within business ecosystems. The presentation was given at the Manufacturing Analytics workshop organized by the Insitute of Manufacturing at the University of Cambridge on February 1st, 2016.
The Industrial Data Space aims at establishing a virtual data space in which partners in business ecosystems can securely exchange and easily link their data assets. The presentation puts the Industrial Data Space in the context of recent developments in the area of Smart Service Welt and Industrie 4.0 and sketches a reference architecture model and functional software components. Furthermore, the presentation introduces the Industrial Data Space Association which institutionalizes the user requirements and drives standardization. The presentation was given at the Industry 4.0 session at MACH 2016 on April 14, 2016, in Birmingham, UK.
YOUR SMART WAY TO MORE ADDED VALUE
Digitalisation is a social, economic and technical trend impacting on and including all business sectors. The importance and added value of internet-based services on the basis of intelligent networked data is constantly
on the increase. INDUSTRIAL DATA SPACE makes it simple for companies to use data as a basis for
new sustainable business models.
The workshop "Platforms for connected Factories of the Future" took place on 5 and 6 of October 2015 in Brussels. Main objective on the first workshop day was to give an overview on existing activities in industries and research regarding platforms for the manufacturing area.
The Industrial Data Space is a strategic initiative driven by industry and supported by the German Federal Government. It aims at supporting the secure exchange and easy combination of data within ecosystems.
Industrial Data Space - Why we need a European Initiative on Data SovereigntyThorsten Huelsmann
IDS stands for safer data exchange between companies where the producer of data remains the owner of the data and maintains sovereignty over the use of that data.
IDS Association aims to define the conditions and governance for a reference architecture and interfaces aiming at international standards.
The Value of Data for Digital Business ModelsBoris Otto
This presentation outlines the challenges and opportunities of digitization and highlights the important role of data quality. The presentation uses a well-known business model conceptualization to illustrate successful digitization examples.
Industrial Data Space Association - New Members, New Insights, New Future Dir...Thorsten Huelsmann
Digitalisation is both an enabler and a driving force behind innovative business models. A key ability for innovative business models is to be able to combine data in one “ecosystem”: Services are decoupled from physical platforms/products, The architecture levels are decoupled, Products become platforms and vice versa, “Ecosystems“ develop around platforms, Innovation takes place cooperatively.
Data as strategic resource enables smart services, products and our desired lifestyle of the future.
An introduction to Industrie 4.0(Internet of Things), and its Potential impact on Supply Chain. Industrie 4.0, touted as the Game changer and a seed for next industrial revolution. Funded by German Bundes Ministerium fur Education & Technologie.
Introducing Industrial Data Space Initiative, CPDP Conferende 2017Thorsten Huelsmann
Squaring the circle concerning the management of data;
Digital Sovereignty as the ability of a natural or legal person to an exclusive self-determination concerning the economic resource of data
Industry 4.0 is the current trend of automation and data exchange in manufacturing technologies. It includes cyber-physical systems, the Internet of things and cloud computing. Industry 4.0 creates what has been called a “smart factory
Digital technologies will play crucial roles in enhancing societies and economies. As the pandemic continues to push the world to do physical distancing, digital transformations are happening across multiple industries. Here's how intelligent connectivity transforms the journey of digital society and pushes the Industry 4.0 agenda.
Industrie 4.0, digitalization, standards and norms, Smart Factory, disruptive business models, ENGINEERING 2050, components of a Smart Factory, Industrie 4.0 for small and medium–sized companies, Internet of Things, Cloud Security, from Big Data to Smart Data, IT security for industrial processes
Meetup #3 - Cyber-physical view of the Internet of EverythingFrancesco Rago
The Internet of Everything (IoE) is built on the connections among people, processes, data, and internet of things. However, it is not about these four dimensions in isolation. Each amplifies the capabilities of the other three. It is in the intersection of all of these elements that the true power of Internet of Everything is realized.
We will examine the Cyber-physical view to explore Specification, Hybrid and Heterogeneous Models, Conceptual frameworks, Multiform Time, and much more.
Modelling and Simulation for Industry 4.0 SUCCESS CASESinLabFIB
IoT: New business paradigm for SMEs? - IoTSWC side event
Mr. Benito Carrillo (Vicedean of New Industrialization in Informatics Engineering Professional Association of Catalonia)
Session 2: Modelling and Simulation for Industry 4.0 - round table on opportunities and challenges in the new era of IoT
Digital Innovation Day, 01.10.14
Vortrag von Wolfgang Beeck, CTO, SAG Deutschland GmbH
Danke für Ihr Interesse.
Den gesamten Vortrag können Sie sich unter https://m2m.telefonica.com/german/medien/studien-und-whitepaper runter laden.
For companies, data is only worthwhile if it can be processed. At the same time, a new, comprehensive and generally accepted handling practice has to be anchored in the way data is utilized.
Industrial Data Space is a virtual data space which supports the secure exchange and simple linking of data in business ecosystems on the basis of standards and by using collaborative governance models.
Data is only exchanged if it is requested from trustworthy certified partners. The data owner – i.e. the company – determines who is allowed to use the data in what way. As a result, the partners of one supply chain have joint access to certain data by mutual consent so that they can start something new, develop new business models, design their own processes more efficiently or initiate additional added value processes elsewhere, either alone or together.
This presentation was shown at Digital Transport Days, November 9, 2017.
Fraunhofer – SINTEF: towards an initiative on Data Sovereignty in EuropeThorsten Huelsmann
Fraunhofer and SINTEF jointed Industrial Data Space Association in early 2016. Industrial Data Space stands for safer data exchange between companies where the producer of data remains the owner of the data and maintains sovereignty over the use of that data.
IDS Association aims to define the conditions and governance for a reference architecture and interfaces aiming at international standards.
This standard is actively developed and updated on the basis of use cases. It forms the basis for a number of certified software solutions and business models, the development of which is fostered by the association.
Thorsten Huelsmann and Ernst H. Kristiansen talked on this topic during the German-Norwegian Dialogue on Bilateral and
European Cooperation , September 29 2016 at Berlin.
The Value of Data for Digital Business ModelsBoris Otto
This presentation outlines the challenges and opportunities of digitization and highlights the important role of data quality. The presentation uses a well-known business model conceptualization to illustrate successful digitization examples.
Industrial Data Space Association - New Members, New Insights, New Future Dir...Thorsten Huelsmann
Digitalisation is both an enabler and a driving force behind innovative business models. A key ability for innovative business models is to be able to combine data in one “ecosystem”: Services are decoupled from physical platforms/products, The architecture levels are decoupled, Products become platforms and vice versa, “Ecosystems“ develop around platforms, Innovation takes place cooperatively.
Data as strategic resource enables smart services, products and our desired lifestyle of the future.
An introduction to Industrie 4.0(Internet of Things), and its Potential impact on Supply Chain. Industrie 4.0, touted as the Game changer and a seed for next industrial revolution. Funded by German Bundes Ministerium fur Education & Technologie.
Introducing Industrial Data Space Initiative, CPDP Conferende 2017Thorsten Huelsmann
Squaring the circle concerning the management of data;
Digital Sovereignty as the ability of a natural or legal person to an exclusive self-determination concerning the economic resource of data
Industry 4.0 is the current trend of automation and data exchange in manufacturing technologies. It includes cyber-physical systems, the Internet of things and cloud computing. Industry 4.0 creates what has been called a “smart factory
Digital technologies will play crucial roles in enhancing societies and economies. As the pandemic continues to push the world to do physical distancing, digital transformations are happening across multiple industries. Here's how intelligent connectivity transforms the journey of digital society and pushes the Industry 4.0 agenda.
Industrie 4.0, digitalization, standards and norms, Smart Factory, disruptive business models, ENGINEERING 2050, components of a Smart Factory, Industrie 4.0 for small and medium–sized companies, Internet of Things, Cloud Security, from Big Data to Smart Data, IT security for industrial processes
Meetup #3 - Cyber-physical view of the Internet of EverythingFrancesco Rago
The Internet of Everything (IoE) is built on the connections among people, processes, data, and internet of things. However, it is not about these four dimensions in isolation. Each amplifies the capabilities of the other three. It is in the intersection of all of these elements that the true power of Internet of Everything is realized.
We will examine the Cyber-physical view to explore Specification, Hybrid and Heterogeneous Models, Conceptual frameworks, Multiform Time, and much more.
Modelling and Simulation for Industry 4.0 SUCCESS CASESinLabFIB
IoT: New business paradigm for SMEs? - IoTSWC side event
Mr. Benito Carrillo (Vicedean of New Industrialization in Informatics Engineering Professional Association of Catalonia)
Session 2: Modelling and Simulation for Industry 4.0 - round table on opportunities and challenges in the new era of IoT
Digital Innovation Day, 01.10.14
Vortrag von Wolfgang Beeck, CTO, SAG Deutschland GmbH
Danke für Ihr Interesse.
Den gesamten Vortrag können Sie sich unter https://m2m.telefonica.com/german/medien/studien-und-whitepaper runter laden.
For companies, data is only worthwhile if it can be processed. At the same time, a new, comprehensive and generally accepted handling practice has to be anchored in the way data is utilized.
Industrial Data Space is a virtual data space which supports the secure exchange and simple linking of data in business ecosystems on the basis of standards and by using collaborative governance models.
Data is only exchanged if it is requested from trustworthy certified partners. The data owner – i.e. the company – determines who is allowed to use the data in what way. As a result, the partners of one supply chain have joint access to certain data by mutual consent so that they can start something new, develop new business models, design their own processes more efficiently or initiate additional added value processes elsewhere, either alone or together.
This presentation was shown at Digital Transport Days, November 9, 2017.
Fraunhofer – SINTEF: towards an initiative on Data Sovereignty in EuropeThorsten Huelsmann
Fraunhofer and SINTEF jointed Industrial Data Space Association in early 2016. Industrial Data Space stands for safer data exchange between companies where the producer of data remains the owner of the data and maintains sovereignty over the use of that data.
IDS Association aims to define the conditions and governance for a reference architecture and interfaces aiming at international standards.
This standard is actively developed and updated on the basis of use cases. It forms the basis for a number of certified software solutions and business models, the development of which is fostered by the association.
Thorsten Huelsmann and Ernst H. Kristiansen talked on this topic during the German-Norwegian Dialogue on Bilateral and
European Cooperation , September 29 2016 at Berlin.
This presentation was held at the 2nd Internet of Manufacturing Conference on February 7, 2017, in Munich, Germany. It addresses the need of a new kind of data management to cope with the requirements digital scenarios pose on the industrial enterprise. Motivated by examples, the talk outlines design principles for smart data management and concludes with two leading examples, namely the Industrial Data Space initiative and the Corporate Data League.
Daten sind die strategische Ressource im digitalen Zeitalter. Der Industrial Data Space zielt darauf ab, den sicheren Austausch und die einfache Kombination von Daten für Unternehmen zu ermöglichen. Dadurch lassen sich smarte Dienstleistungen einfacher verwirklichen. Fraunhofer erarbeitet in einem vom Bundesministerium für Bildung und Forschung geförderten Projekt die Basis dazu und entwickelt ein Referenzarchitekturmodell für den Industrial Data Space, das in ausgewählten Use Cases pilotiert wird.
Data Sovereignty - Call for an International EffortBoris Otto
This presentation will be given at the Digitisting Manufacturing in the G20 Conference on March 16, 2017, in Berlin, in the context of the workshop "Data Sovereignty in Global Value Networks".
The presentation (in German) gives an overview about current digitization trends in logistics and their implications on the design of modern logistics systems. The presentation was given at the DB Schenker Science Day on September 8, 2014, in Frankfurt, Germany.
Industrial Data Space: Referenzarchitektur für Data Supply ChainsBoris Otto
Dieser Vortrag stellt den Industrial Data Space als Referenz-Architektur für Data Supply Chains vor. Data Supply Chains sind vernetzte, unternehmensübergreifende Datenflüsse. Data Supply Chains sind Voraussetzung um hybride Leistungsangebote (Smart Services) einerseits und digitalisierte Leistungserstellung (Industrie 4.0) andererseits zu verbinden. Durch die effektive und effiziente Bewirtschaftung von Data Supply Chains erhöhen Unternehmen ihre Wettbewerbsfähigkeit. Der Industrial Data Space liefert hierzu die Blaupause, als Referenzarchitektur für die Datenökonomie.
Industrial Data Space: Digitale Souveränität über DatenBoris Otto
Der Vortrag führt in Grundbegriffe der Datenökonomie ein und macht einen Vorschlag zur Definition des Begriffs der digitalen Souveränität. Zudem arbeitet der Vortrag heraus, welchen wichtigen Beitrag der Industrial Data Space zur Wahrung der digitalen Souveränität leistet.
Industrial Data Space: Referenzarchitekturmodell für die DigitalisierungBoris Otto
Diese Präsentation auf der VDI Industrie 4.0 Tagung am 25.1.2017 in Düsseldorf gibt ein Update der Entwicklungen des Industrial Data Space. Schwerpunkte sind Datensouveränität, der Industrial Data Space als Bindeglied zwischen IoT-Cloud-Plattformen sowie der Referenz-Use-Case Logistik.
A Taxonomy of the Data Resource in the Networked IndustryBoris Otto
This presentation reports on the design of a taxonomy of the data resource in the networked industry. It was held on the 7th International Scientific Symposium on Logistics on June 6, 2014, in Cologne, Germany. The presentation motivates the topic, analyzes four networking industry cases and discusses a first version of the taxonomy. The presentation argues that for companies aiming at designing a future-proof data architecture leveraging the potentials of the industrial internet, collaborative forms of organizations etc. transparency about data sources, data ownership, criticality, compliance of standards of data, data quality are key for success. In addition, the presentation introduces a first sketch of a method supporting businesses in applying the taxonomy.
Industrie 4.0 in der Logistik: Stand der Umsetzung und AusblickBoris Otto
Diese Präsentation beschreibt aktuelle Fallstudien zur Industrie 4.0 in der Logistik, identifiziert Entwurfskriterien für Industrie-4.0-Anwendungsszenarien und schließt mit einem Ausblick auf die Änderungen, die Industrie 4.0 für Unternehmen generell und das Logistik-Management im Speziellen mit sich bringt. Die Präsentation wurde gehalten anlässlich der Jahresabschlussveranstaltung der Audi-Logistik am Standort Ingolstadt.
Konsortialforschung: Gestaltungsorientierte Wirtschaftsinformatikforschung in...Boris Otto
This presentation (in German) introduces consortium research as a method for conducting design science research (DSR) in collaborative environments with partner companies from various industries. The presentation outlines the fundamental principles of consortium research, illustrates the method using examples from the Competence Center Corporate Data Quality (CC CDQ) and identifies three questions for discussion. The presentation was held at the 2015 International Conference on Wirtschaftsinformatik in Osnbrück.
Digitalisierung: Datenzentrierte GeschäftsinnovationBoris Otto
Der Beitrag greift den übergreifenden Trend der Digitalisierung auf und untersucht seine Implikation auf die Innovation von Geschäftsmodellen. Aktuelle Beispiele illustrieren Erfolgsfaktoren und zeigen Handlungsempfehlungen auf.
Digital Business Engineering am Fraunhofer ISSTBoris Otto
This presentation (in German) gives an overview about how Fraunhofer ISST supports digital transformation projects in various industries. It motivates Digital Business Engineering as a methodological framework and show-cases typical applications. The presentation was given at the Fraunhofer ISST 25th anniversary event at Zeche Zollern in Dortmund.
Automotive Services and Communications Technologies, a Brief Look into the Fu...QuEST Forum
Automotive Services and Communications Technologies, a Brief Look into the Future presented by Michael Fritz Manager Corporate Business Development ICT at Fraunhofer.
A chamada Indústria 4.0 é uma das fronteiras da mudança tecnológica no mundo. A Alemanha é um dos países mais dinâmicos nesse processo. A própria expressão "Indústria 4.0" foi cunhada naquele país, onde ela representa, mais do que palavras, uma estratégia nacional. Para abordar os desafios que a Indústria 4.0 coloca para a Alemanha e também para o Brasil, a Fundação FHC recebe o chefe global de tecnologia e inovação da Siemens, Norbert Luetke-Entrup.
NORBERT LÜTKE-ENTRUP
Mestre e PhD em Física pela Universidade de Bonn (Alemanha) e pela Université Pierre et Marie Curie (Paris), é chefe do Departamento de Tecnologia Corporativa e Gestão da Inovação do Grupo Siemens. Atuou como consultor, líder de projeto e vice-presidente na sede da Siemens Management Consulting (SMC) em Munique, entre 2000 a 2008, e como vice-presidente administrativo do escritório da empresa em Pequim (China).
International Data Spaces: Data Sovereignty and Interoperability for Business...Boris Otto
This presentation was held in a workshop session on IoT Business Models and Data Interoperability at the Max Planck Institute for Innovation and Competition in Munich on 8 October 2018. The presenation introduces the concept of business ecosystems and the role of data within the latter, then outlines the state of the art in terms of interoperability and sovereignty and finally sketches the IDS contribution.
Industry 4.0 : Integrated Industry Grows from Vision to Reality HARTING India Pvt Ltd
Get Your Starter Pack for Industry 4.0 in this issue : How can Industrie 4.0 pilot projects be revved up and then rolled out?
Starter packs make it possible. Download the full issue here http://www.harting.co.in/press-news/tecnews/tecnews-issue-29/
Impact industry 4.0 on the (SAP) intelligent enterpriseFrank Luyckx
What is the impact of Industry 4.0, Digital twin and Servitization on the (SAP) intelligent enterprise ? What is the impact of industry 4.0 on the business models ?
Facts of Factory 4.0 and IIot, Challengdes for Industries, Advantech 4.0, Updating old Machines, The future of industrial protocols (OPC UA), Augmented Reality Solutions, Hibrid Software Plataforms.
AircraftIT MRO Journal Vol 3.4 Autonomics and the Network of Everything (NoE)Michael Denis
Its official - The Internet Of Things (IoT) Takes Over As The Most Hyped Technology,” wrote Gil Press on Forbes.com announcing Gartner’s annual Hype Cycle report on Emerging Technologies.
So what is The Internet of Things (IoT) and what does it have to do with aviation MRO?
IoT isn’t about the Internet nor about Things, rather, it’s about machines connected across networks of autonomous agents automatically processing events, without human intervention, to create value by adaptively analyzing big data to diagnose and prognosticate granular knowledge in order to provide value to human consumers of one.
Wow – that’s a mouth full of consultantese!
Like many innovations and capabilities, IoT originated in military research and development. Network Centric Warfare and Network Centric Operations (NCO) were strategic capabilities undertaken by the US DOD, UK MoD and NATO in parallel with Sweden’s Network Based
Defense (NBD).
Central to NCO/NBD methods and capabilities is the concept of sense and respond. Sense and respond logistics (S&RL) is commonly equated with autonomic logistics; but in fact S&RL only includes the non-adaptive
mechanics of Machine-to-Machine (M2M) and Machine-to-Human (M2H) transactions. The Network of Everything (NoE) adds to S&RL and IoT, Human-to-Human (H2H) interactions, collaboration, knowledge formation and complex decision making.
Diagnostics, prognostics, health management are common terms in both medicine and aviation service lifecycle management. Another common term adapted from biology is autonomic. The autonomic nervous system is the involuntary, autonomous and automatic control system for visceral organs functioning below the level of consciousness. The characteristics of an autonomic system are automatic, autonomous and adaptive.
Hmm, sounds a bit like what those technology geeks were describing for the Internet of Things.
Lockheed Martin developed the Autonomic Logistics Information System (ALIS) for performance based service lifecycle management of the F-35 Joint Strike Fighter.
New generation commercial aircraft like the Boeing 787, Airbus A380 and A350, Bombardier C-Series, Embraer E2, and Mitsubishi MRJ-90 create up to 1 terabyte of data per flight from the plethora of sensors on board. That data is being processed in flight and post flight, combined with human actions and content, and then analyzed to prognosticate who should do what, where and when in order to optimize asset utilization, labor productivity and supply effectiveness.
Networked autonomics are alive and well in aviation. But these initial capabilities have been stove piped along OEM specific closed proprietary networks.
MRO business networks need open universally interoperable MRO technology networks in order to optimize planes, parts, people and plants across the industry. The last piece of which is the ASD SX000i data standards.
The open autonomic MRO Network of Everything is about to become
Roberto Crapelli, Alumnus Polimi ing. Nucleare 1976 e Amministratore Delegato di Roland Berger Strategy Consultants in Italia, condivide le slides del suo intervento alla AlumniPolimi Convention 2015
Etude PwC et Strategy& sur l'Industrie 4.0 (mars 2015)PwC France
http://bit.ly/PwC-Industrie40
Selon l’étude « Industry 4.0 » réalisée par PwC et Strategy&, quatre entreprises interrogées sur cinq auront numérisé leur chaîne de valeur d'ici 2020. L’Industrie 4.0, communément appelée l’« Internet des objets », devrait en effet être la cible des investissements des entreprises européennes au cours des cinq prochaines années. L’industrie européenne prévoit d’investir 140 milliards d’euros par an d’ici 2020, pour un gain total de chiffre d’affaires estimé à 110 milliards d’euros annuels.
Méthodologie
PwC et Stratégy& ont conduit conjointement cette étude avec le soutien de Siemens, l’association d’ingénieurs VDMA et le média Produktion. Ont été interrogées 235 entreprises allemandes, issues de 5 secteurs industriels : technologies de l’information et de la communication, télécommunications, mécanique, automobile, électronique et industries manufacturières (chimie, pétrochimie, pharmacie, alimentaire, sucre, papier, verre, acier et ciment).
Similar to Enabling the Industry 4.0 vision: Hype? Real Opportunity! (20)
Shared Digital Twins: Collaboration in EcosystemsBoris Otto
This presentation introduces the concept of shared digital Twins from a cusiness perspective and outlines recent technological developments for shared digital twin management.
Deutschland auf dem Weg in die DatenökonomieBoris Otto
Der Vortrag greift aktuelle Diskussionsstränge zwischen Wirtschaft, Wissenschaft und Politik auf und thematisiert u.a. die betriebswirtschaftliche, volkswirtschaftliche, informationstechnische und ethische Dimension der Datenökonomie.
International Data Spaces: Data Sovereignty for Business Model InnovationBoris Otto
This presentation given at the European Big Data Value Forum on November 13, 2018, in Vienna introduces International Data Spaces (IDS) as a reference architecture and implementation for data sovereignty. The IDS archiecture rests on usage control technologies and trusted computing environments and, thus, forms a strategic enabler for a fair data economy which respects the interests of the data owners.
Business mit Daten? Deutschland auf dem Weg in die smarte DatenwirtschaftBoris Otto
This presentation (in German) given at the "Tage der digitalen Technologien" on May 15, 2019, in Berlin addresses data ecosystems as an innovative institutional format for creating value out of shared data. Furthermore, the talk points to selected challenges in setting up data ecosystems.
This presentation was part of the IDS Webinar on Data Governance. It gives a brief overview of the history on Data Governance, describes how governing data has to be further developed in the era of business and data ecosystems, and outlines the contribution of the International Data Spaces Association on the topic.
Data Resource Management: Good Practices to Make the Most out of a Hidden Tre...Boris Otto
Management of the data resource in the industrial enterprise becomes a strategic capability in the digital age. The talk motivates data resource management, presents proven practices and outlines principles of modern data management approaches.
Smart Data Engineering: Erfolgsfaktor für die digitale TransformationBoris Otto
Diese Präsentation wurde auf dem Strategieforum IoT auf Schloss Hohenkammer am 30.5.2018 vorgetragen und führt in die Herausforderungen im Datenmanagement im Internet der Dinge ein. Zudem werden Prinzipien des Smart Data Engineering erläutert.
IDS: Update on Reference Architecture and Ecosystem DesignBoris Otto
This presentation motivates the Industrial Data Space and gives an update on the IDS Reference Architecture Model as well as the related ecosystem. It sets data in the context of business model innovation and points out how the IDS Reference Architecture relates to alternative data architecture styles such as data lakes and blockchain technology, for example. The presentation was given at the IDSA Summit on March 22, 2018.
Datensouveränität in Produktions- und LogistiknetzwerkenBoris Otto
Dieser Vortrag motiviert Datensouveränität in Produktions- und Logistiknetzwerken. Datensouveränität ist die Fähigkeit zur Selbstbestimmung über das Wirtschaftsgut Daten - auch beim Austauschen der Daten in Unternehmensnetzwerken. Der Vortrag führt in die Architektur des Industrial Data Space ein, der einen virtuellen Datenraum für den souveränen Datenaustausch bildet. Der Vortrag schließt mit Anwendungsbeispielen und einer Diskussion des Beitrags für die Wissenschaft und die Praxis.
Der Vortrag leitet am Beispiel der Automobilindustrie in die wesentlichen Entwicklungen zur Digitalisierung von Industriebetrieben ein und stellt dabei die besondere Rolle der Daten und eines wirksamen Datenmanagements heraus. Abschließend gibt der Vortrag Empfehlungen zum Management der Digitalen Transformation.
Logistik in der digitalen Wirtschaft: Daten als strategische RessourceBoris Otto
This presentation (in German) was given at the GS1 Switzerland Big Data in Supply Chain Forum held on March 18th, 2015, in Baden, Switzerland. The presentation introduces digitization and "Industrie 4.0" in logistics and supply chain management using a set of case studies. Furthermore, it points to the increasing importance of data in these cases and argues that data must be treated as a strategic resource in firms. The presentation closes with a brief overview about the Fraunhofer Data Innovation Lab in Dortmund, Germany, and a selection of current projects.
Senior Project and Engineering Leader Jim Smith.pdfJim Smith
I am a Project and Engineering Leader with extensive experience as a Business Operations Leader, Technical Project Manager, Engineering Manager and Operations Experience for Domestic and International companies such as Electrolux, Carrier, and Deutz. I have developed new products using Stage Gate development/MS Project/JIRA, for the pro-duction of Medical Equipment, Large Commercial Refrigeration Systems, Appliances, HVAC, and Diesel engines.
My experience includes:
Managed customized engineered refrigeration system projects with high voltage power panels from quote to ship, coordinating actions between electrical engineering, mechanical design and application engineering, purchasing, production, test, quality assurance and field installation. Managed projects $25k to $1M per project; 4-8 per month. (Hussmann refrigeration)
Successfully developed the $15-20M yearly corporate capital strategy for manufacturing, with the Executive Team and key stakeholders. Created project scope and specifications, business case, ROI, managed project plans with key personnel for nine consumer product manufacturing and distribution sites; to support the company’s strategic sales plan.
Over 15 years of experience managing and developing cost improvement projects with key Stakeholders, site Manufacturing Engineers, Mechanical Engineers, Maintenance, and facility support personnel to optimize pro-duction operations, safety, EHS, and new product development. (BioLab, Deutz, Caire)
Experience working as a Technical Manager developing new products with chemical engineers and packaging engineers to enhance and reduce the cost of retail products. I have led the activities of multiple engineering groups with diverse backgrounds.
Great experience managing the product development of products which utilize complex electrical controls, high voltage power panels, product testing, and commissioning.
Created project scope, business case, ROI for multiple capital projects to support electrotechnical assembly and CPG goods. Identified project cost, risk, success criteria, and performed equipment qualifications. (Carrier, Electrolux, Biolab, Price, Hussmann)
Created detailed projects plans using MS Project, Gant charts in excel, and updated new product development in Jira for stakeholders and project team members including critical path.
Great knowledge of ISO9001, NFPA, OSHA regulations.
User level knowledge of MRP/SAP, MS Project, Powerpoint, Visio, Mastercontrol, JIRA, Power BI and Tableau.
I appreciate your consideration, and look forward to discussing this role with you, and how I can lead your company’s growth and profitability. I can be contacted via LinkedIn via phone or E Mail.
Jim Smith
678-993-7195
jimsmith30024@gmail.com
Oprah Winfrey: A Leader in Media, Philanthropy, and Empowerment | CIO Women M...CIOWomenMagazine
This person is none other than Oprah Winfrey, a highly influential figure whose impact extends beyond television. This article will delve into the remarkable life and lasting legacy of Oprah. Her story serves as a reminder of the importance of perseverance, compassion, and firm determination.
Artificial intelligence (AI) offers new opportunities to radically reinvent the way we do business. This study explores how CEOs and top decision makers around the world are responding to the transformative potential of AI.
The case study discusses the potential of drone delivery and the challenges that need to be addressed before it becomes widespread.
Key takeaways:
Drone delivery is in its early stages: Amazon's trial in the UK demonstrates the potential for faster deliveries, but it's still limited by regulations and technology.
Regulations are a major hurdle: Safety concerns around drone collisions with airplanes and people have led to restrictions on flight height and location.
Other challenges exist: Who will use drone delivery the most? Is it cost-effective compared to traditional delivery trucks?
Discussion questions:
Managerial challenges: Integrating drones requires planning for new infrastructure, training staff, and navigating regulations. There are also marketing and recruitment considerations specific to this technology.
External forces vary by country: Regulations, consumer acceptance, and infrastructure all differ between countries.
Demographics matter: Younger generations might be more receptive to drone delivery, while older populations might have concerns.
Stakeholders for Amazon: Customers, regulators, aviation authorities, and competitors are all stakeholders. Regulators likely hold the greatest influence as they determine the feasibility of drone delivery.
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