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What we offer

Market and Services

The Munich Innovation Hub for AI provides a wide choice of services for a broad range of markets.

Find below an overview about supported market sectors and TRL focuses as well as a summary of the offered services with service examples.

Services

Sechseckgrafik ENG schmal

Information events

  • Lecture series, symposia, open events with presentations of the latest research results & demonstrations
  • Networking opportunities & ecosystem building
  • Scouting, brokerage & awareness creation

Contractual research

  • Individual business solutions of a research nature - such as the development of prototypes - can also be developed specifically to a company.

Research networks

  • Research partner for companies in the form of joint research projects
  • Support for Research-relevant issues
  • Publicly funded projects & collaborative researchs

Qualification

  • Education and skills development: Training courses, seminar series, hands-on learning & tutorials
  • Events to impart theoretical knowledge and practical experience on current technologies
  • Incubator/accelerator support

Realization

  • Company-specific workshops for the development of employees & discussion of problems/solutions
  • Training sessions, rapid tests, potential analyses of AI solutions
  • Visioning and Strategy Development for Businesses
  • Digital Maturity Assessment
  • Access to Funding and Investor Readiness Services

Assisted test environments

  • Prototyping
  • Provision of hardware and software infrastructures for companies to try out and test new technologies
  • Concept validation & testing

What the hub offers

Service Examples

The Center for Code Excellence (CCE) targets software developers, as well as project managers and company managers. We help companies develop high-quality, sustainable and leading-edge software – in other words, we focus on code excellence. To do this, CCE concentrates on three main areas: code excellence evaluation, trend analysis and research into methods for know-how transfer.

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Publication of AI startup landscapes and use case library as well as free services for SMEs to get started on AI. This is accompanied by meet-ups, conferences, workshops. The publications provide an quality assured interactive entry in AI application for companies which are interested in the first applications. All information is publicly available to connect start-ups as providers of ai powered solutions with companies. Workshop materials are free to download. The landscapes are picked up by magazines like Handelsblatt and Wirtschaftswoche as well as the Plattform Lernende Systeme.Aim: Overview on recent AI and techn. Start-ups.Partner: NVIDIA, Holtzbrink Ventures, Hightech Gründerfonds (HTGF), UVC, DplusFunding: activity of appliedAI initiative (in parts public funding, >70% company partners)

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fortiss Mittelstand is the contact point for all questions regarding the digital transformation for companies in Bavaria and supports them on the path to digital transformation. More information about its services, funding possibilities as well as events and trainings can be found on the website linked below.

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Periodical publication of AI whitepapers, which offer insights into the latest developments, status quo as well as offers guidlines for applying AI.

Examples:

How to find and prioritize AI use cases: This whitepaper shares critical lessons specific to identifying and prioritizing AI use cases and provide a guide around the pitfalls.

Building the organization for scaling AI: This whitepaper covers best practices for how to build the organization for scaling AI. Discover the elements needed for a comprehensive AI strategy, an outline for prototypical organizational setup and key learnings from mature AI scalers.

The elements of a comprehensive AI strategy: A high-level overview on what the elements of an AI-Strategy are and how to structure them.

Artificial Intelligence for Boards - Gearing up for the Future of Business: The goal of this report is to describe how AI affects company board roles - individually and collectively - and to provide guidance on how to manage the change. The discussion draws from appliedAI's extensive experience applying AI in business, complemented by a series of in-depth interviews with C-level executives.

Trustworthy Autonomous/Cognitive Systems: Autonomous systems promise to implement complex and goal-oriented behavior even in a safety related context. This behavior is based on a certain level of situational awareness and advanced decision making. These systems in many cases are driven by artificial intelligence. The problem with such complex systems and with using AI technology is that there is no generally accepted approach to ensure trustworthiness. This paper presents a framework to exactly fill this gap.

'Künstliche Intelligenz - Chancen für Wirtschaft und Gesellschaft in Bayern': This whitepaper offers an introduction to AI and highlights its fields of application. The authors compare how industrialized countries are positioned in this area and show how AI technologies affect their economic growth. They examine what the strategies of successful nations look like and conclude with concrete proposals on how the Bavarian economy can benefit from AI technologies. (German)

  • All whitepapers from fortiss can be found here.
  • All whitepapers from appliedAI can be found here.

Aim: Knowledge Exchange, Supporting the application of AI.

HUBCAP is a European project funded under the EU's Horizon 2020 research and innovation program. HUBCAP is a so-called "Innovation Action" within the European Commission's "Smart Anything Everywhere" initiative. The goal of Smart Anything Everywhere (SAE) is to help SMEs, start-ups and mid-caps enhance their products and services through the inclusion of innovative digital technologies. Within that frame HUBCAP aims to deliver a vision of a sustainable network of small and medium-sized enterprises (SMEs), Digital Innovation Hubs (DIHs) and other actors that enables and encourages suppliers and users of models for cyber-physical systems (CPS) and model-based design (MBD) tools to meet and collaborate.

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Geriatronics refers to the use of robotics, mechatronics and information technology, in particular machine intelligence and 3D technology, in geriatrics, gerontology and in the medical care of elderly people for optimal support and to maintain and improve a self-determined life in old age. The main objectives of the technologies developed within the framework of geriatronics are, on the one hand, maintaining mobility and interpersonal interaction and communication in old age and, on the other hand, independence through technical and intuitive assistance systems that can be operated, learned and thus personalised.

Aim: In concrete terms, geriatronics is designed to help older people in coping with everyday life alone in one's own home, in case of bed-riddenness, during visits to the doctor, in times of rehabilitation and in everyday hygiene.

Funding: Bavarian Ministry of Economic Affairs, Regional Development and Energy

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The focus of the research project "Bayern-Cloud" is on designing a scalable digital platform ecosystem (DPE), which helps to optimize cross-industry and industry-specific processes and promotes synergies. The operator-independent platform gives the tourism industry the chance to get on board with digital technology and develop new business models with just a few resources. Other sectors in Bavaria can also benefit from this in future.

Aim: Leveraging technology adoption and access to technology in less digitalized domains.Partner: Fraunhofer Institute for Applied and Integrated Security AISEC, Zentrum Digitalisierung.Bayern, Hubermedia, outdooractive, allgäu Gmbh, Hochschule Kempten, BayTM

Funding: The BayernCloud project is funded by the Bavarian Ministry of Economic Affairs, Energy and Technology (StMWi)

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Defining your AI-Strategy means not only asking the right questions but knowing what to do to achieve each goal exactly. Executing on an AI-Strategy can be fiendishly hard so we are your partner in making it work. The approach to AI-Strategy implementation and organizational development is based on appliedAI's view on "building the organization for scaling AI".

Aim:
Support of companies to implement AI into their business and develop an AI strategy.

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UnternehmerTUM as initiator of the appliedAI initiative is one of Europe’s largest innovation and entrepreneurship centers and provides non-profit support to startups and interested entrepreneurs. It initiates more than 50 high-tech start-ups per year based on more than 200 innovation projects and the education of more than 2000 individuals. appliedAI builds on that ecosystem and is home to Europe’s largest cross-industry initiative for the application of AI and connects more than 100 AI startups, many of Germany’s best research institutions and several industry associations. It initiated a European exchange of AI centers from Finland, Norway, France, Denmark, Italy and Germany with a first meeting in Munich at November 29th 2018

Aim: Offering founders start-ups a complete service, from the initial idea all the way to IPO. A team of experienced entrepreneurs, scientists and managers supports founders with the development of their products, services and business models. The experts accompany them actively with building up their companies, market entry and financing – also via Venture Capital.

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The HumanE AI Net brings together top European research centers, universities and key industrial champions into a network of centers of excellence that goes beyond a narrow definition of AI and combines world-leading AI competence with key players in related areas such as HCI, cognitive science, social sciences and complexity science. This is crucial to develop a truly Human Centric brand of European AI.

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Embedded control systems offer enormous potential for use with AI technologies. Self-driving vehicles, medical decision-making assistance and technical infrastructure monitoring are just a few examples. Current AI technologies, especially learning systems, are notoriously undependable and unsafe. As a result, they’re typically not deployed in critical, operative enterprise systems. Robust AI is a research project driven by fortiss.

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Market Sectors

  • Agriculture, hunting and forestry

  • Electricity, gas and water supply

  • Hotels and restaurants

  • Health and social work

  • Financial intermediation

  • Transport, storage and communication

  • Other community, social and personal service activities

  • Education

  • Manufacture of machinery and equipment

  • Manufacture of transport equipment

  • Public administration and defence

  • Manufacture of electrical and optical equipment

  • Other Manufacturing

TRL Focus Levels

TRL 1 .. .TRL 2 ..TRL 3...TRL 4 ...TRL 5 ...TRL 6
Principles observed
and reported.
Technology concept / application formulated.Analytical & experimental critical func-tion/charac-teristic PoC.Component / breadboard validation in laboratory environment.Component / breadboard validation in relevant environment.System/subsystem model or prototype demonstration in a relevant environment.