WELCOME TO THE FIRST appliedAI ECOSYSTEM MEETUP 2019
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Lifting Germany to the AI Age: The appliedAI Initiative serves as unique, central point of contact to guide Germany and Europe to the AI age
The appliedAI Initiative grew from 17 to 38 partners in 2018 Technology Industry Academic n Ecosystem n 3
With our product portfolio, we tackle the key challenges Germany and Europe face while transitioning to the age of AI Tailored Three key challenges offerings of identified in Knowledge appliedAI UnternehmerTUM-AI Exchange study: ● Difficult translation from AI to business Proof of ● Lack of AI know- Concept how und talent ● Challenging implementation Education Context 4
Knowledge Agenda 2019 Our knowledge agenda follows a comprehensive views to apply AI 5
Knowledge Agenda 2019 ● The elements of a comprehensive AI strategy ● Use case development and prioritization ● Organizing for AI ● AI ecosystem ● Workforce for AI ● Building Data assets ● Management of AI projects Round table: 14.02. ● Cultural change for AI Round table: 14.03. ● AI at scale 6
Prototyping Agenda 2019 AI Lab Extension Prototyping as qualification journey - Combination of Strategy, Trainings & - Addition of new hardware from existing and Coaching, and Prototyping to build-up new partners competence within partners - Move to a state of the art Munich based data - Further strengthening of the link between center start-ups and use cases - Further development of partner area for easy booking, access, and setup Project Hackathon Experiments Hackathon Hackathon based RnD (aAI calls this “PoC” or based RnD based RnD “TMS” stage) 7
Education Agenda 2019 Extension of Development of a Workshop Formats Learning Platform Recommended Readings WS S1: Strategy definition (Workshop/Project) WS1: WS2: AI Duration: 1-x Days Introduction Strategy Summary AI-Strategy (WS2) to Artificial (Workshop), Defining strategy and use cases Intelligence Defining implementation roadmap and operations (Workshop) Duration: 1 day AI Duration: 1 day WS S2: Use Case Roadmap (Workshop) Strategist AI-Strategy Language Recommended Readings Framework Capabilities Terminology Big-Picture Prioritization WS P1: AI Projects WS P2: AI Project Sprint AI Summer Duration: 1 day (Hackathon) AI today Development Duration: 5 days School Opportunities Methodology Challenges Capability Team-Setup Recommended Readings Risk, Cost, Benefit Development Cycle AI Project AI hackathon Management Proof of Concept and Demo Lead WS E1: Ramp up WS E2: Deep-Dive (Tech-Workshop) Duration: 2 days Duration: 1-5 days Machine Learning 101 ● Focus in Deep Learning Data and its quality ● Focus on IoT Fundamentals of ML Software ● Focus on Autonomous Systems Hardware Choices ● Focus on data cleaning AI Hands-on development Engineer AI Project Management Course 8
Important Dates 2019 Dates Activities Every first week of a month Workshops (Intro and Strategy) 14.2. 2nd Strategy round table 14.3. 3rd Strategy round table 5.4. 2nd Ecosystem Meetup 2019 21. - 24.5. Delegation to Canada TBD Delegation to China (Shenzhen) November (TBC) Delegation to Singapore Dates are updated here: https://appliedai.de/partner-area/ 9
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