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  • Image:2.3-DevOps.png|frameless|1000px|AIoT - DevOps and Infrastructure ...or successful AIoT products, DevOps will need to be extended to include AI and IoT.
    7 KB (1,011 words) - 18:43, 27 June 2022

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  • Image:2.3-DevOps.png|frameless|1000px|AIoT - DevOps and Infrastructure ...or successful AIoT products, DevOps will need to be extended to include AI and IoT.
    7 KB (1,011 words) - 18:43, 27 June 2022
  • [[File:Intro Product.png|700px|frameless|center|Commercialization and scalability strategy for smart, connected products]] [[Image:2.3-DevOps.png|frameless|1000px|AIoT - DevOps and Infrastructure]]
    2 KB (289 words) - 11:52, 20 October 2021
  • ...ern the development of embedded and hardware components, as well as safety and security concerns. ...oT DevOps & Infrastructure as well as cross-cutting tasks such as security and end-to-end testing are defined as workstreams. Finally, asset preparation i
    7 KB (1,043 words) - 16:51, 29 March 2022
  • ...gical as well as practical expertise is offered in the duality of research and entrepreneurship in order to create an environment that reflects the AIoT P ...esearch topics or initiate micro testbeds. The lab provides AIoT expertise and access to an academic ecosystem.
    7 KB (1,056 words) - 20:06, 20 March 2022
  • ...services. Resilience refers to a system's ability to resist adverse events and conditions. ...lity and resilience in the context of AIoT DevOps and then looks at the AI and IoT specifics in more detail.
    13 KB (1,948 words) - 18:58, 27 June 2022
  • ...lbronn, which can be easily extended to include the greater Stuttgart area and Baden Würtemberg. ==Motivation and Goals==
    7 KB (1,017 words) - 15:39, 11 March 2022
  • ...nical innovation must be more like complex, dynamic systems that can learn and adapt over time. The following provides an overview of how the ''Digital Pl ...de a culture which is open for innovation, agile organizational structures and effective support mechanisms.
    12 KB (1,701 words) - 01:12, 6 July 2022
  • ...mponents or functionally relevant system components). Designing the system and the delivery organization in a way that maximizes those areas where continu ...ng this. This starts with looking again at the data, AI, IoT, Digital Twin and hardware perspective from the AIoT 101 chapter, but this time with the tech
    18 KB (2,689 words) - 23:44, 5 July 2022
  • ...onsiderations, data privacy, quality and robustness (including reliability and resilience). Since AIoT-enabled products can have a direct, physical impact ...y Management. Before delving into this, we first need to understand the AI and IoT-specific challenges from a security point of view.
    14 KB (2,127 words) - 18:48, 27 June 2022
  • ...o assets in the field, IT Service Management related to the AIoT solution, and supplier management for the AIoT solution. ...ng and optimization, dispatching, parts information delivery to the field, and process support of field technician interactions.”''
    10 KB (1,448 words) - 16:54, 27 June 2022
  • ...ad, one should start by looking at the question "Is a Digital Twin needed, and if so - what kind of Digital Twin?", before defining the Digital Twin imple ...on at least two key factors: Sensor Data Complexity/Analytics Requirements and System Complexity (e.g., the number of different machine types, organizatio
    19 KB (3,043 words) - 17:15, 27 June 2022
  • ...y a step-by-step process, involving exploration, acquiring early adopters, and then continuously growing the business. Which of the methods that have work ...step is to understand the key elements required for the commercialization and scalability strategy. These elements will be different for the Digital OEM
    24 KB (3,733 words) - 23:10, 5 July 2022
  • ...t level (e.g., via so-called epics and themes) and then provide a detailed and precise work definition only for the next upcoming sprint (via the sprint b ...will work well. For those parts involving hardware and telecommunications infrastructure -- as well as any part with complex dependencies -- a more planning-centric
    13 KB (2,051 words) - 23:29, 5 July 2022
  • ...n order to provide smart, connected products. Artificial Intelligence (AI) and the Internet of Things (IoT) are the two key enablers. This section will in ...he purpose? And what are the expected business outcomes? From a strategic (and emotional) point of view, the purpose of the AIoT initiative should be clea
    17 KB (2,522 words) - 06:15, 16 November 2021
  • ...esent new challenges for the organization. How can companies adapt to this and successfully master the change? [[File:DT and AIoT Overview.png|800px|frameless|center|DT and AIoT Overview]]
    15 KB (2,300 words) - 05:29, 30 May 2022
  • ...prerequisite for enabling an agile approach, which should include PoC, MVP and continuous AI improvements. ...s. The team must identify and flesh out the key use cases (including KPIs) and how they are supported by AIoT. Next, one should identify what kind of anal
    37 KB (6,030 words) - 23:49, 5 July 2022
  • ...of the most critical parts of most AIoT projects. Many project leaders -- and many procurement departments -- do not have much experience in this space, ...ne vendor selection criteria, covers RFP document creation and management, and finally looks at vendor selection.
    48 KB (7,688 words) - 06:54, 29 August 2023