Towards Data Science’s Post

💡OPEN DATA AND GENERATIVE AI 🎺 Longer Research Paper for the Weekend Read 🤓 👉 Full Title: A Fourth Wave of Open Data? Exploring the Spectrum of Scenarios for Open Data and Generative AI 👉 Great Research Paper by Hannah Chafetz Sampriti Saxena, and Stefaan Verhulst, PhD 👏 👉 a key question of our times is the relationship of open data and AI 👉 and in particular the use of Open Data in AI 👉 Can open Data be made ready for AI and how? 👉 is there a (need for) Fourth Wave of Open Data emerging 🧐 👉 very educative weekend read 🤓 #artificialintelligence #opendata #innovation

We attended the Neo4j GraphSummit in London and had the opportunity to discuss the next steps for graph adoption at Springer Nature Group. The potential of graph technology applied to problems in the scientific publishing domain is promising, especially if unified with vector search and data science capabilities. The subject was widely discussed at the Summit, mainly by our partner and host Neo4j. #KnowledgeGraphs #DataScience #AI

K-Nearest Neighbors (KNN) is a simple yet powerful machine learning algorithm used for classification and regression tasks. It works by finding the 'k' closest data points to a given input based on a distance metric, such as Euclidean distance. Despite its simplicity, KNN is highly effective and widely used in areas like pattern recognition, recommendation systems, and image classification. However, it can become computationally expensive for large datasets, requiring techniques like KD-trees to optimize its performance. KNN’s non-parametric nature makes it flexible for a variety of applications in data science. #MachineLearning #DataScience #KNN #AI #TechInnovation

Our talk is starting now! Our very own Data Scientist, Finlay Morrison is waiting for you at Stage - 5! In this talk, we underscore the significance of historical data transformation in unlocking the potential of AI-driven research and emphasise the need for a systematic approach to integrate legacy data into contemporary scientific workflows. Come join in, Stage - 5 is where we're at! #ChemUK #ai #data #DataRevival #ChemUKExpo #ai

KDD 2024 is almost here! Get ready for a week packed with cutting-edge research and groundbreaking insights in data science and AI. Make sure not to miss these insightful sessions from my colleagues: - Graph Learning for Enterprise by Hema Raghavan - Responsible AI by Matthias Fey If you're attending, swing by to say hello and dive into the world of #kdd #kdd2024 #datascience #ai. Kumo.AI and Stanford University

🚀 Exciting changes in data science are here! Companies are moving from artisanal to industrial approaches, enhancing speed and efficiency through advanced platforms and MLOps systems. Discover how these trends are shaping the future of AI and data science in 2024! MIT Sloan Executive Education #DataScience #AI #MLOps #Innovation #TechTrends 

POIESIS AND CREATIVITY: EXPLORING NEW HORIZONS IN THE AGE OF AI. If you're ready to challenge your perceptions about the impact of artificial intelligence (AI) on human creativity, the article "Poiesis and Creativity: Exploring New Horizons in the Age of AI" is a must-read. The text delves into how AI is reshaping our relationship with creation and the materialization of ideas, offering an innovative perspective on how poiesis – the act of bringing something into existence – is transforming in the context of technology. Just as Thomas Kuhn taught us about the importance of scientific revolutions, this article is a crucial piece for understanding how AI is shaping a new phase in creative thinking, challenging traditional paradigms, and creating new paths for innovation. Read the attached text and delve deeper into this fascinating context! _____________________________________________ Want to go further? Explore a complete journey through the universe of Artificial Intelligence and its challenges with my books, available on Amazon. With a practical and in-depth approach, they offer the knowledge you need to master this revolutionary technology and excel in a world shaped by data and innovation. _____________________________________________ Check out my books on Amazon! Content on artificial intelligence, human sciences and information science. ________________________________________ A HUG FROM PROF. MARCÃO! Excellence on every page, pleasure in every word. A researcher always in search of knowledge. #ArtificialIntelligence #InformationArchitecture #DataGovernance #IntelligenceCommunity #promptengineering #book #Continuouslearning

AI goes MAD 🤯 - Model Autophagy Disorder Researchers are coming to understand a truth that data professionals have recognized for many years: the principle of "Garbage In, Garbage Out" is also relevant to AI. A collaborative study by Rice and Stanford Universities has identified what they term "Model Autophagy Disorder" (MAD). This condition manifests when an AI is continually trained on data generated by AI, leading to a significant decline in its performance after five rounds of training. Consequently, the output becomes increasingly generic, losing the depth and variety found in the original training data. With AI-created content now widespread across search engines and beyond, the reliability of numerous publicly available datasets is becoming increasingly dubious. As a result, a company's own internal systems are likely to become the most reliable source of high-quality data. This shift highlights the growing importance of robust data infrastructure and engineering. The study https://buff.ly/4dtD0mV #LLM #MAD #data

Unifying structured and unstructured data is a strategic endeavor that unlocks new possibilities and drives innovation in the realm of Generative AI. Read this white paper to: 🚀 Learn the art of data transformation, readying your diverse datasets for Generative AI’s complex demands 🚀 Uncover feature engineering secrets for deeper AI insights 🚀 Master data fusion techniques that unite varied data for sharper AI analytics 🚀 Delve into neural network blueprints that bridge structured order and unstructured chaos https://lnkd.in/eF9ZU85x #LLMs #UnstructuredData #MachineLearning

Inviting esteemed #researchers, faculty, and practitioners to contribute their original work in our upcoming #emerald publication "Navigating Data Science in the Age of AI" . The #scopus indexed title is spearheaded by Dr. Babita Singla and Prof. Nripendra Singh and will prove a gamechanger for #AI integration across #industry domains. The book also holds immense significance for #datascience and by offering insights on policy and #ethical implications of #GenAI, it will help #professionals make a lasting impact on #academia, business and #society at large. Link for submission:  rb.gy/4k38hx