[Ecosystem Visit: AI & Data Management: Future Trends 🇩🇪] Yesterday, our team Blue Factory ESCP in Berlin had exciting insights focusing on challenges and key trends shaping the future of AI include at the K.I.E.Z. Künstliche Intelligenz Entrepreneurship Zentrum with vorget.ai 👇 #AI #DataManagement #Innovation
What are the future trends of AI & Data Management?! 💡 Yesterday we had the pleasure to welcome the ESCP Business School and Livia Zimermann de Araujo Durigan together with vorget.ai to our site. The Fireside Chat with Vorget AI focused on the challenges faced by AI startups, particularly in the field of dataset preparation and management with the founder's views on tech, business, and design. Here are some insights from yesterday's event: Challenges of dataset preparation based on the insights from the paper “Toward Scalable and Efficient Data Preparation with AI”, are: 🚀 Scalability: As data grows, manual processes struggle, highlighting the need for scalable AI tools. ⚙️ Automation: The paper stresses the need to automate data cleaning, a solution Vorget provides. 🔧 Data Quality Issues: Tackling noisy, incomplete, or inconsistent data is a key challenge that Vorget addresses with AI-driven tools. And what are the future trends of AI & Data management? 1️⃣ Synthetic Data for AI Training: By 2024, 60% of AI models will use synthetic data for training due to privacy concerns and lack of real-world data. 2️⃣ Generative AI for Data Creation: Generative AI is revolutionizing the creation of realistic datasets, making data preparation for AI models more efficient. 3️⃣ Automation in Data Management: Automation of repetitive tasks like data cleaning, validation, and transformation is increasingly critical for businesses. 4️⃣ Edge Processing & AI: More data processing will happen at the edge, closer to where the data is created, reducing latency and improving real-time decision-making. What are your thoughts on this topic? Which trends should we add to the list? #kiez #ai #artificialintelligence #accelerator #startupaccelerator #escp Tobias Szarowicz Jonathan Zebhauser Doris Pololi