Organization

The use of Artificial Intelligence (AI) requires more than just a financial investment in a new technology from a company. A well-thought-out and, if necessary, adapted organizational structure for the integration of AI projects is crucial for success. The structure forms the foundation for the sustainable development and integration of AI technologies, as well as for effective collaboration between different departments and interdisciplinary teams.

The implementation of AI in a company can have significant impacts on the way of working. Therefore, it may be necessary to adjust the company's structure in order to fully leverage the potential of AI technologies. This includes measures such as optimizing work processes and resource utilization, increasing agility, promoting cultural change, as well as risk and change management.

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Maria Danninger

Accenture
Next Gen Robotics GTM Lead

Please provide the text that you would like me to translate into English.The next generation of AI robots combines advanced intelligence, innovative form factors, and autonomous learning capabilities to tackle increasingly complex tasks in dynamic environments. In the digital transformation, they become a crucial driver of innovation and a competitive advantage for companies. For this purpose, the BAIOSPHERE AI COMPASS can provide valuable insights and practical recommendations.Please provide the text that you would like me to translate into English.

Dr. Stefanie Demirci

VDI/VDE Innovation + Technology GmbH
Deputy Head of Digital Transformation Technologies Department

"For the successful implementation of AI applications in companies, a work culture that is open to AI innovations is essential. Ideally, this culture is characterized by cross-functional collaborations and the establishment of suitable processes for data and risk management. It is important to establish these structures before the introduction or development of the AI application, rather than afterwards."

Thomas Hahn

Siemens AG
Siemens Fellow and member of the Bavarian AI Council

"The middle class is the backbone of the Bavarian economy. With the BAIOSPHERE AI COMPASS, the Bavarian AI Agency helps every company to independently form an opinion and strategy on the use of the future technology AI. The compass assists with technical questions, organization, and regulation, and also offers networking opportunities - whether for information exchange, consulting, or testing."

Kathrin Schwan

Accenture
Managing Director, Data & AI Lead for Austria, Switzerland, and Germany

Please provide the text that you would like me to translate into English.AI is more than just a "new" technology, it is changing our previous way of working. This must also be reflected in the organization of every company - with new workflows, processes, and structures. Companies of all sizes will have to ask themselves in the future how to shape this change at different levels.To ensure their future viability, both internationally and in Germany.The BAIOSPHERE KI-COMPASS can serve as a guide here.Sure, please provide me with the text you would like me to translate.

Leadership structures for AI

To ensure that AI projects are advanced and implemented across different areas, the support and direct involvement of management is indispensable. Personal commitment from the leadership emphasizes the strategic importance of AI for the company and ensures the necessary visibility and allocation of resources.

Especially in the initial phase, it can be helpful to appoint a dedicated AI responsible person who drives forward and coordinates the topic.

Adaptation of organizational structures

AI can automate many routine tasks, leading to a redesign of work processes, for example. An adapted structure can ensure that the remaining tasks not taken over by AI are optimally distributed among the workforce and executed efficiently. It may also be necessary to have specialized knowledge for the use of AI. These new roles also need to be integrated into the organizational structure. Talents and Skills goes into more detail on this.

AI technologies are developing rapidly. A flexible and agile corporate structure enables companies to react more quickly to technological advancements and market changes, and to remain competitive. To achieve this, it may be necessary to flatten hierarchies and promote interdisciplinary teams.

Adaptation of communication structures

The introduction of AI often requires a cultural shift towards data-driven decision-making and a higher acceptance of technological innovations, as detailed in the Compass theme.Culture and mindset A possible necessary adjustment of the company's communication structures can support this transformation by optimizing processes, for example. Transparent information flows are crucial here. Regular updates and reports on ongoing AI projects, progress, and results that are accessible company-wide promote transparency and keep all employees up to date. Internal communication platforms such as intranets facilitate exchange between different departments and teams and promote collaboration. Surveys and digital feedback tools help to regularly capture the opinion of the workforce on the use and implementation of AI and make adjustments based on it.

Decentralized vs. centralized teams

Decentralized teams located in different business areas can effectively drive specific AI projects forward as they work closely with the respective departments and address their specific needs directly. In larger companies, central AI competency teams offer the advantage of bundling technical and non-technical expertise to ensure a unified strategy and better knowledge exchange. If internal resources are not sufficient to form internal AI teams, there is the option to bring in this expertise through external employees or agencies. In this case, however, there needs to be someone responsible for guiding these external individuals. For more information on these topics, please visit. Talents and Skills can be found in the corresponding compass topic.

The successful implementation of AI requires profound adjustments in the organizational structure and corporate culture, supported by the commitment of the leadership. Flexible, agile structures and optimized communication channels are crucial to harness technological advancements and thus ensure maximum utilization of AI potential as well as long-term competitiveness.

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The BAIOSPHERE KI-COMPASS

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STRATEGY

Strategic planning ensures competitive advantages and involves setting goals, identifying use cases, and integrating AI into the overall strategy of the company.

Data

Data is the foundation of every AI system. Its quality and integrity determine the possibilities and performance of AI applications.

ECOSYSTEM

In the use and implementation of AI, collaborations can bring many benefits. A strong ecosystem promotes innovation through the transfer of knowledge, resources, and technologies.

FINANCING AND SUPPORT

The costs for implementing AI vary between free versions and significant investments for developing custom solutions. To alleviate the investment burden, there are various funding opportunities available.

CULTURE AND MINDSET

An open and learning-oriented corporate culture is essential to successfully implement AI. The main focus is on reducing reservations and fears, and involving the workforce in the transformation process.

Organization

The use of AI requires a well-thought-out organizational structure. This forms the foundation for the sustainable development of AI technologies as well as the effective collaboration between different departments and interdisciplinary teams.

Technical requirements

A robust and flexible infrastructure includes hardware and software components, network infrastructure, and development processes to successfully implement, train, test, and utilize AI models.

Talents and skills

Development and integration of AI require a qualified team and specific knowledge. This includes both technical skills as well as strategic and infrastructural understanding.

Law and Regulation

Compliance with legal requirements and standards is essential for the use of AI. The EU AI Act has introduced regulations for AI solutions that will apply in all EU member states when creating and using AI.

Ethics

Ethics in AI involves implementing moral principles to realize the benefits of AI and reduce risks. Topics such as transparency, fairness, bias mitigation, explainability, and data protection are essential in this context.