AI and Entrepreneurship PDF

AI and Entrepreneurship AI for Innovation and Entrepreneurship Tristan Post | November 6th, 2023 | TUM Audimax Join at slido.com #2462421 ⓘ Start presenting to display the joining instructions on this slide. Would you like to built your own startup? ⓘ Start presenting to display the poll resu...

AI and Entrepreneurship AI for Innovation and Entrepreneurship Tristan Post | November 6th, 2023 | TUM Audimax Join at slido.com #2462421 ⓘ Start presenting to display the joining instructions on this slide. Would you like to built your own startup? ⓘ Start presenting to display the poll results on this slide. AI and Entrepreneurship 6th November Module Overview The "AI and Entrepreneurship" module delves into the symbiotic relationship between AI and entrepreneurship, exploring the myriad benefits of integrating AI in startups. This session will provide a comprehensive overview of the various types of AI startups and the burgeoning investment trends within the AI startup ecosystem. It will offer insights into the essentials of building a successful AI startup, addressing the common challenges faced by AI founders and discussing strategies to surmount them. This module is a gateway to understanding the dynamics of AI entrepreneurship and the investment landscape surrounding it. Why Attend This Session This session is a must-attend for anyone harboring aspirations to found an AI startup or those keen on learning more about the AI entrepreneurship and investment scene. It provides a unique opportunity to understand the nuances of establishing a successful AI startup and to gain insights into the latest investment trends and hypes in the AI startup world. Whether you are an aspiring entrepreneur or an enthusiast eager to explore the intersection of AI and entrepreneurship, this module will equip you with valuable knowledge and perspectives, enriching your understanding of the entrepreneurial possibilities within the AI domain.. ‹#› AI and Entrepreneurship Learning Objectives 1. Understanding of AI in Startups: Gain insights into the benefits and applications of AI in startups, enhancing awareness of the potential and versatility of AI in the entrepreneurial realm. 2. Knowledge of AI Startup Types and Investment Trends: Explore the various types of AI startups and the latest investment trends, staying informed about the evolving AI startup ecosystem and investment landscape. 5. Awareness of AI Entrepreneurship and Investment Scene: Develop a comprehensive understanding of the AI entrepreneurship and investment scene, preparing for informed participation and exploration in the field of AI entrepreneurship. . 3. Insights into Building Successful AI Startups: Learn the essentials and challenges of establishing a successful AI startup, acquiring the knowledge to navigate the complexities of AI entrepreneurship. 4. Strategies to Overcome AI Founders’ Challenges: Understand the common challenges faced by AI founders and learn effective strategies to overcome them, fostering resilience and problem-solving skills in the entrepreneurial journey. ‹#› Agenda 1 Benefits of AI 4 Building a successful startup 2 The AI Hype 5 Challenges of AI Startups 3 AI Startup Taxonomy 6 Concepts and Strategies for AI Startups ‹#› Benefits of AI ‹#› What do you think is a benefit of using AI? ⓘ Start presenting to display the poll results on this slide. Key Benefits of AI ‹#› Key Benefits of AI ‹#› Decision Making ‹#› Decision Making ‹#› Decision Making ‹#› Decision Making ‹#› Decision Making ‹#› Key Benefits of AI ‹#› AI Reduces Cost by.... ... automating tasks. ... reducing errors. ... optimizing workflows. ... reducing waste. ... identifying inefficiencies. ... increasing productivity ... optimizing processes. ‹#› Treatment Effects on Productivity ‹#› ‹#› Key Benefits of AI ‹#› ‹#› ‹#› ‹#› ‹#› Key Benefits of AI ‹#› ‹#› ‹#› ‹#› The AI Bubble AI Hype and Market Overview ‹#› The Market exploded ‹#› The Problem with the Hype ‹#› The Gartner Hypecycle ‹#› ‹#› The Types of AI Startups ‹#› Types of AI Startups ‹#› ‹#› ‹#› Types of AI Startups ‹#› Types of AI Startups ‹#› Types of AI Startups ‹#› ‹#› ‹#› Types of AI Startups ‹#› ‹#› The Layers of AI ‹#› The Layers of AI ‹#› The Layers of AI ‹#› The Layers of AI ‹#› Two Primary Types ‹#› Two Primary Types ‹#› ‹#› The AI Spectrum ‹#› The AI Spectrum ‹#› The AI Spectrum ‹#› The AI Spectrum ‹#› What Makes a Successful (AI) Startup? ‹#› What does it take to built a successful startup? ⓘ Start presenting to display the poll results on this slide. The Idea ‹#› ‹#› ‹#› ‹#› ‹#› ‹#› ‹#› ‹#› ‹#› ‹#› ‹#› Idea to Product Journey ‹#› Growing vs. Scaling ‹#› Common Challenges of AI Startups ‹#› Common Challenges of AI Startups ‹#› Common Challenges of AI Startups ‹#› Product Market Fit (PMF) ‹#› Common Challenges of AI Startups ‹#› Growing vs. Scaling ‹#› ‹#› ‹#› ‹#› ‹#› Challenges in Scaling Startups ‹#› Common Challenges of AI Startups ‹#› ‹#› Secret Sauce Unique Selling Point Unfair Advantage ‹#› ‹#› ‹#› Concepts and Strategies for AI Startups ‹#› ‹#› Shifting the Focus ‹#› ‹#› ‹#› ‹#› ‹#› ‹#› The Virtuous Cycle of AI ‹#› How can an entrepreneur break into this flywheel? ‹#› The Chicken and the Egg ‹#› How can an entrepreneur break into this flywheel? ‹#› How can an entrepreneur break into this flywheel? ‹#› How can an entrepreneur break into this flywheel? ‹#› How can an entrepreneur break into this flywheel? ‹#› How can an entrepreneur break into this flywheel? ‹#› How can an entrepreneur break into this flywheel? ‹#› ‹#› ‹#› Stephanie Lingemann, Helsing At Helsing Stephanie combines her extensive expertise on security and defence in Europe with her deep insights into technology companies. As an Associate Partner at McKinsey & Company she focused on clients in the aerospace and defence industry as well as the semiconductor industry. Through her station at the Federal Foreign Office and her studies in Switzerland, the US and Singapore she developed a strong interest in geopolitics and a firm belief that deep-tech will be a gamechanger for governments. ‹#› Oliver Schoppe, UVC Partners Oliver is a venture capital investor and is truly passionate about deep tech and natural sciences from biology to physics. At UVC Partners, Oliver focuses on startups in the areas of Artificial Intelligence, Data Processing, and Digital Health. Prior to joining UVC Partners, Oliver worked several years for McKinsey & Company up to junior project manager in Germany, Switzerland, UK, USA, and China. He advised clients primarily in the technology and automotive industries, with a focus on strategic M&A and sales. At McKinsey, Oliver also headed a recruiting team and pro-bono consulting projects for social justice in the German education system. With research stays at Harvard University, MIT, and Oxford University, he holds degrees in Electrical Engineering and a PhD in Artificial Intelligence from the Technical University of Munich and published more than 10 peer-reviewed articles in journals such as Cell or Nature Communications. ‹#› AI Strategy 13th November Module Overview The "AI Strategy" module is designed to provide students with a comprehensive understanding of the strategic implementation of AI within organizations. This session will delve into the challenges of applying AI, the varying levels of AI maturity, and the defining characteristics of an AI-First company. Students will learn how to formulate a visionary AI strategy and explore the various factors that enable successful AI integration within an organization. This module is a blend of strategic insights and practical knowledge aimed at leveraging AI to drive innovation and streamline operations within organizational settings. Why Attend This Session This session is invaluable for those who aspire to leverage AI to enhance organizational operations and lead innovation. It offers insights into the formulation of effective AI strategies and the realization of an AI-First approach within organizations. Attendees will gain a deeper understanding of AI maturity levels and the challenges inherent in AI application, equipping them with the knowledge to navigate and implement AI strategically. Whether you are a budding strategist, a business leader, or someone interested in the strategic dimensions of AI, this module will enrich your perspective and empower you to harness AI's transformative potential effectively. ‹#› AI Strategy Learning Objectives 1. Understanding of AI Application Challenges: Gain insights into the challenges associated with applying AI, enhancing the ability to navigate and address hurdles in AI implementation. 5. Exploration of AI Enabling Factors: Delve into the various enabling factors for AI within an organization, gaining knowledge to facilitate successful AI integration and innovation. . 2. Knowledge of AI Maturity Levels: Explore the concept of AI maturity levels, acquiring a nuanced understanding of the developmental stages of AI integration within organizations. 3. Insights into AI-First Companies: Learn what it means to be an AI-First company, developing a comprehensive understanding of the characteristics and approaches defining such organizations. 4. Formulation of Visionary AI Strategy: Understand how to set up a vision for AI, acquiring the skills to formulate impactful and forwardthinking AI strategies. ‹#›