Dev Conference by Neo4j
You only need to register once to attend all sessions.
Session Track: Graphs
Session Time:
Session description
In an increasingly complex digital landscape, accessing essential knowledge—whether for professional or personal use—has become a formidable challenge. Navigating through various clouds and applications, each with its own unique authentication, user interface, and data storage methods, poses significant difficulties, particularly for those experiencing functional memory impairments. This session, led by Mike Morley, will explore the application of Neo4j graph database technology to develop a Personal Knowledge Vault. This MVP aims to streamline the user's ability to find, discover, and manage their personal knowledge through an AI-augmented user experience. Attendees will gain valuable insights into how this technology simplifies the retrieval and synthesis of knowledge, making it more accessible and user-friendly. You will learn about the practical applications of this Personal Knowledge Vault, its potential to transform how we interact with our data, and the benefits it offers in both professional and personal contexts. By attending this session, you will be equipped with the knowledge to navigate the complexities of modern data ecosystems and leverage cutting-edge AI and graph database technologies to enhance your personal and professional efficiency.
Director of Machine Learning and Artificial Intelligence Technology, Arcurve Inc.
Mike Morley is Director of AI/ML Strategy with Arcurve’s Advanced Analytics team. He developed his first knowledge system in 1986 and has been developing software designed to augment the abilities of people, organizations and industries ever since. Leveraging a degree in Geological Engineering, Mike has spent the past 25 focusing on addressing the needs of engineers, data scientists, and analysts across the Environmental, Mining, Oil and Gas industries with innovative software solutions and technology inventions. He is a sought-after speaker on the subject of innovation, data and machine learning as applied to environmental and engineering industries. He speaks at a range of forums and events including technical forums such as Data for Good, R Users Group, Women in Big Data and at executive events to provide strategic insight to executive teams on innovation and digital transformation strategies.
