Connected Data London
3 October 2019
4 October 2019
Knowledge Graphs, Machine Learning and AI, Linked Data and Semantic Technology and Graph Databases are redefining how data works. Data is redefining how everything works. And Connected Data London is the go-to event for the latest developments in these key technologies.
We are picking up from where we left off in 2018, connecting technologies, data, and people. Sharing and learning with experts and innovators in a lively setting, brought to you by a team who is part of this community.
Connected Data London 2019 takes place on October 3 and 4, at the Hilton Doubletree. First speakers include Jono Alderson from Yoast, David Gorena from Microsoft, Paco Nathan from Derwen.ai / O’Reilly, and Ruben Verborgh from Ghent University / MIT / Inrupt.
Connected Data London is all about learning from experts and innovators: our first speakers
Acquiring more customers, growing businesses, preparing for the future. That’s what digital marketing & semantic SEO expert Jono Alderson helps others with. Jono will explain how JSON-LD & schema.org help him.
Jono is a digital strategist, marketing technologist and full-stack developer with nearly two decades of experience in web development, SEO, analytics, brand and campaign strategy, lead gen and eCRM, CRO and more. He’s worked with startups, agencies and international brands to fix websites, implement growth strategies, prepare for the future, and win markets. Jono manages special projects at Yoast.
Microsoft Office and Outlook are products millions of people use every day. Did you know there is AI and Knowledge infused into those? David Gorena is in charge of this, and will show us how it’s done.
David is a Hispanic Principal Program Manager in the Microsoft AI organization, responsible for infusing AI and Knowledge into Office Core and Outlook products. David has also worked as a Program Manager in Microsoft Dynamics, and owned the Microsoft Mobile Advertising SDKs. He rounds out his PM and engineering experience with Team Foundation Server and Microsoft Visual Studio.
Machine learning and knowledge graphs are a dynamic duo, and few people have more experience in this than Paco Nathan. Paco will explore the best ways to mix Data Science and Machine Learning with Knowledge Graphs.
Known as a “player/coach”, Paco has expertise in data science, natural language processing, machine learning, cloud computing; 35+ years tech industry experience, ranging from Bell Labs to start-ups. Consulted the White House and WEF on AI, worked on data pipelines and Jupyter notebooks, built knowledge graphs for O’Reilly Media. Co-chair Rev. Advisor for Amplify Partners, Deep Learning Analytics, Recognai, Data Spartan, Primer.
Ruben is a professor of Semantic Web technology at IDLab, Ghent University, and a research affiliate at the Decentralized Information Group of CSAIL at MIT. He acts as a technology advocate for Inrupt & the Solid ecosystem of apps, and has co-authored 2 books and numerous publications. He aims to build a more intelligent generation of clients for a decentralized Web at the intersection of Linked Data and hypermedia-driven Web APIs.