PODCAST · technology
The Connected Data Podcast
by Connected Data World
Welcome to the Welcome to the Connected Data Podcast. Connecting Data, People and Ideas since 2016. Community, Events, Thought Leadership. For those who use the Relationships, Meaning and Context in Data to achieve Great things. Bringing together Leaders and Innovators in Knowledge Graphs Graph Databases Graph Analytics / Data Science / AI Semantic Technology Stay tuned and dive into our diverse content. Engage, network, learn and share ideas and best practices. Presentations, Masterclasses, Workshops, Panels, Networking. 👉 https://connecteddataworld.com/ 👉 https://www.meetup.com/Connected-Data-London
Episodes
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Graph-Based Data Science: Hybrid AI meets data science process | Paco Nathan
Python offers excellent libraries for working with graphs: semantic technologies, graph queries, interactive visualizations, graph algorithms, probabilistic graph inference, as well as embedding and other integrations with deep learning. However, most of these approaches share little common…
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Enterprise Knowledge Graphs: Breaking Through Organizational Inertia to Reimagine Data Management | Panel Discussion
Industry leaders from Accenture, Johnson & Johnson, and the Enterprise Knowledge Graph Foundation dive deep into the transformative potential of knowledge graphs, exploring how these semantic technologies are revolutionizing enterprise data management. Featuring Mike Atkin, Laurent Alquier and...
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Rebooting AI: Adding Knowledge to Deep Learning | Gary Marcus
Gary Marcus argues for a shift in research priorities, towards four cognitive prerequisites for building robust artificial intelligence: Hybrid architectures that combine large-scale learning with the representational and computational powers of symbol-manipulation Large-scale knowledge...
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The Enterprise Knowledge Graph | Omar Khan and David Newman
Join Omar Khan and David Newman as they canvas the Enterprise Knowledge Graph, and how you can apply it using its cornerstones of: Foundational building blocks Information model expressivity Machine understandable representations Transcending the relational model How an EKG expands on a graph and…
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Deep Learning on Graphs: Past, Present, And Future | Michael Bronstein
Graph representation learning has recently become one of the hottest topics in machine learning. One particular instance, graph neural networks, is being used in a broad spectrum of applications ranging from 3D computer vision and graphics to high energy physics and drug design. Despite the…
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Connected Data London 2024 Call for Submissions Roundtable | Panel Discussion
Connected Data is coming back to London in 2024, on December 11-13. Join us for a tour de force in all things Knowledge Graph, Graph Analytics / Al / Data Science / Databases and Semantic Technology. Call for submissions and volunteers, program committee, chairs, and initial lineup have been...
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The Momentum Behind Semantic Reasoning and Why It’s Here to Stay | Panel Discussion
What does reasoning have to offer? How does it add so much value to data? Who is using it and why should I care? All questions that we’re delighted to answer. Access to data has exploded over the last decade, but it leaves us asking what to make of it all? Often lacking quality, reasoning is...
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Data Revolution: The Emergence of the Decentralized Enterprise Knowledge Graph | Tony Seale
An AI tsunami is on the rise, and the past few months have only amplified it. To survive it and thrive in tomorrow’s economy, organizations big and small must rethink the way they do business. To do this, a radical shift in the way they work with their data is needed. And no, we don’t mean Big...
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Graph Machine Learning - Research and Industry Applications | Panel Discussion
Graph-based technologies became first-class citizens in various industries and many practical applications. Still, building performant and reliable machine learning pipelines over graph data, e.g., graph machine learning applications and products, remains a non-trivial task. This panel discussion...
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Systems that learn and reason | Frank Van Harmelen
After the amazing breakthroughs of machine learning (deep learning or otherwise) in the past decade, the shortcomings of machine learning are also becoming increasingly clear: unexplainable results, data hunger and limited generalisability are all becoming bottlenecks. In this talk we will look…
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Novel AI Hardware Architectures for Graph Processing | Panel Discussion
What do graphs have to do with novel hardware architectures for AI workloads? Graph processing is the key to unlocking new architectures, as much as new architectures can boost execution of graph-oriented workloads. As machine learning-powered applications are proliferating, the workloads that…
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Graph Abstractions Matter | Ora Lassila
While mathematicians have used graph theory since the 18th century to solve problems, the software patterns for graph data are new to most developers. To enable "mass adoption" of graph technology, we need to establish the right abstractions, access APIs, and data models. RDF triples, while of...
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Taxonomies: Connecting Data with Duct Tape | Mike Dillinger
Taxonomies are the duct tape of connected data. They seem simple, flexible, and familiar. They are widely used. And they seem to work across many use cases and many domains. But when looked at in more detail, taxonomies turn out to be crude tools for knowledge organization that are very difficult...
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Investing in Connected Data | Panel Discussion
What is Connected Data, and how is it interesting from a market point of view? Knowledge Graphs have reached peak Gartner hype. Graph data science and graph AI are the fastest growing areas in AI. Graph databases are the fastest growing category in enterprise software. Add to this the historical...
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JSON-LD as the pidgin of enterprise data integration | Panel Discussion
JSON is the de facto data format for developers today because it’s easy to use, but it’s not without its issues. JSON-LD builds on top of JSON, and has also been called "the gateway drug" for Linked Data. Our panel of experts explores the many facets of JSON-LD and how it can facilitate…
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Graph Analytics vs Graph Machine Learning | Jörg Schad
Graph Analytics has long demonstrated that it solves real-world problems including Fraud, Ranking, Recommendation, text summarization and other NLP tasks. More recently, Graph Machine Learning applied directly on graphs using graph algorithms and machine learning, has been demonstrating…
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Personal Knowledge Graphs: A new paradigm for data sovereignty, productivity and creativity | Panel Discussion
Are your personal data, documents, files and messages all over the place? Do you find yourself switching between applications, devices and files, unable to remember or find what you were looking for? Would it make you feel better to know that it's not entirely your fault, and maybe there is a way...
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Thrill-K: Rethinking knowledge layering and construction for higher machine cognition | Gadi Singer
The AI industry is now facing its next big challenge. What are the necessary properties of representational structures that could allow vast amounts of data become meaningful in the human sense of the word? How can knowledge architectures be constructed in a way that allows for both the…
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Knowledge Graphs in the Enterprise: What You Need to Know | Panel Discussion
Most Major Companies are Exploring or Using Knowledge Graphs. Knowledge Graphs are at the top of the Garter AI Hype Cycle. But Knowledge Graphs are much more than hype! Knowledge graphs are a mature technology used in large scale deployments. Anyone heard of Google, Facebook, Alibaba, or Uber?...
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Connected Data World 2021 Program Roundtable | Panel Discussion
Join us as we have a sneak peek through the Connected Data World 2021 program, and discuss the Connected Data landscape. Our Program Committee members go through the 50+ sessions and 70+ speakers, and talk about: The Connected Data landscape Knowledge Graphs Graph Databases Graph Analytics Graph...
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AI + Knowledge - a match made in heaven? | Panel Discussion
What does graph have to do with machine learning? A lot, actually. And it goes both ways Machine learning can help bootstrap and populate knowledge graphs. The information contained in graphs can boost the efficiency of machine learning approaches. Machine learning, and its deep learning…
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The future of AI in the Enterprise: Entity-Event Knowledge Graphs for Data-Centric Organizations | Jans Aasman
Personalized medicine. Predictive call centers. Digital twins for IoT. Predictive supply chain management, and domain-specific Q&A applications. These are just a few AI-driven applications organizations across a broad range of industries are deploying. Graph databases and Knowledge Graphs are now...
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Does Connected Data need AI or AI need Connected Data | Panel Discussion
Connected Data encompasses data acquisition and data management requirements from a range of areas including the Semantic Web, Linked Data, Knowledge Management, Knowledge Representation and many others. Yet for the true value of many of these visions to be realised both within the public domain...
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Κnowledge Architecture: Combining Strategy, Data Science and Information Architecture to Transform Data to Knowledge at NASA | David Meza
"The most important contribution management needs to make in the 21st Century is to increase the productivity of knowledge work and the knowledge worker", said Peter F. Drucker in 1999, and time has proven him right. Even NASA is no exception, as it faces a number of challenges. NASA has hundreds...
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Building knowledge graphs in the real world | Panel Discussion
As the interest in, and hype around, Knowledge Graphs is growing, there is also a growing need for sharing experience and best practices around them. Let’s talk about definitions, best practices, hype, and reality. What is a Knowledge Graph? How can I use a Knowledge Graph & how do i start…
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Graph for Good: Empowering your NGO | Mario Bastande
May graph technology improve the deployment of humanitarian projects? The goal of using what we call “Graphs for good at Action Against Hunger” is to be more efficient and transparent, and this can have a crucial impact on people’s lives. Is there common behaviour factors between different...
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Connecting People, Data, and Apps Without Centralization | Ruben Verborgh
Big Data has transformed the world big time. It led many companies to strongly focus on data analytics, trying to collect and control gigantic amounts of data. After years in the rat race, several of them are slowly realizing that the continuous striving for having more data than others is maybe...
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Dow Jones: Reimagining the News as a Knowledge Graph | Clancy Childs & Mike Grove
AI is transforming the financial media industry, impacting everything from content creation to consumption trends. Childs shares insights into how Dow Jones is reimagining what the news looks like. Learn how Dow Jones’ knowledge graph platform – powered by Stardog – enables the company to unify...
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Knowledge Graphs and SEO: The next chapter | Panel Discussion
“Knowledge Graph” is an overloaded term. Today Knowledge Graphs are becoming mainstream, and as this happens, more and more people associate Knowledge Graphs with data models, semantics, knowledge management, and ontologies For many other people, however, Knowledge Graphs still mean Google Search...
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Data Model vs Ontology Development – a FIBO perspective | Mike Bennett,
The Financial Industry Business Ontology, FIBO, is a business conceptual model of how all financial instruments, business entities and processes work in the financial industry. FIBO combines existing financial industry data standards with ontological approaches. It has been developed by the EDM...
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One Ontology, One Data Set, Multiple Shapes with SHACL | Tara Raafat
Data integration, data interoperation and data quality are major challenges that continue to haunt enterprises. Every enterprise either by choice or by chance has created massive silos of data in different formats, with duplications and quality issues. Knowledge graphs have proven to be a viable...
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Knowledge graphs, meet Deep Learning | Andy Jefferson
Knowledge graphs generation is outpacing the ability to intelligently use the information that they contain. Octavian's work is pioneering Graph Artificial Intelligence to provide the brains to make knowledge graphs useful. Our neural networks can take questions and knowledge graphs and return...
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Graphs in Sustainable Finance | James Phare
In recent years graphs have been increasingly adopted in financial services for everything from fraud detection to Know Your Customer (KYC) to regulatory requirements. At the same time Environmental Social Governance (ESG) investing has become the fastest growing segment of financial services. In...
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The Years of the Graph: The Future of the Future is here | George Anadiotis
What is graph all about, and why should you care? Graphs come in many shapes and forms, and can be used for different applications: Graph Analytics, Graph AI, Knowledge Graphs, and Graph Databases. Up until the beginning of the 2010s, the world was mostly running on spreadsheets and relational...
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From Semantics and SEO to Knowledge Graphs, and Back Again | Panel Discussion
Knowledge graphs are all the rage these days, but for many they are still an exotic notion which is hard to come to terms with. In this panel, experts who have been working with knowledge graphs before it was cool will share their experience. More specifically, we’ll be looking into the interplay...
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A 2020 Semantic Web vision for the real world | Panel Discussion
David Amerland, George Anadiotis, Panos Alexopoulos, and Teodora Petkova, have a few things in common. Besides being successful professionals, each in their own way, they also share a passion not many people share: the Semantic Web. As the Semantic Web is turning 20, they come together to talk...
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RDF and OWL : The powerful duo | Tara Raafat
Find the answers to: Why go semantic? Should i use RDF or OWL? What is the difference, what is the link? Did you say smart data? In this podcast you can check RDF Integration examples, learn about Ontologies and OWL Presentation by Tara Raafat, (PhD) Chief Ontologist at Mphasis. Slides available…
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Connecting data, decentralizing the web, making it sustainable: can the semantic web do this? | Panel Discussion
Whether we call it Semantic Web or Linked Data, Tim Berner Lee’s vision never really caught on among users and developers. Although part of this vision is about decentralization, and this is something a few people are working on, Semantic Web technology remains largely underutilized by them. In...
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Facilitating COVID-19 research with Graph Analytics and Knowledge Graphs
Scientists, health researchers and policymakers are using all the tools they can get their hands on to try and beat the current global pandemic. Germany’s National Centre for Diabetes Research (DZD) is one of the organizations turning to Artificial Intelligence, advanced visualisation techniques...
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In Search of the Universal Data Model | Joshua Shinavier
For as long as people have been thinking about thinking, we have imagined that somewhere in the inner reaches of our minds there are ghostly, intangible things called ideas which can be linked together to create representations of the world around us — a world that has a certain structure…
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Graph Databases Will Rule the World in the 2020s. But Why, and How? | Panel Discussion
Some of us may have been saying that for years, but now the Gartners of the world are picking up on it too. So, the oracles have spoken: “The application of graph processing and graph DBMSs will grow at 100 percent annually through 2022 to continuously accelerate data preparation and enable more...
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ABOUT THIS SHOW
Welcome to the Welcome to the Connected Data Podcast.
Connecting Data, People and Ideas since 2016.
Community, Events, Thought Leadership.
For those who use the Relationships, Meaning and Context in Data to achieve Great things.
Bringing together Leaders and Innovators in
Knowledge Graphs
Graph Databases
Graph Analytics / Data Science / AI
Semantic Technology
Stay tuned and dive into our diverse content.
Engage, network, learn and share ideas and best practices.
Presentations, Masterclasses, Workshops, Panels, Networking.
👉 https://connecteddataworld.com/
👉 https://www.meetup.com/Connected-Data-London
HOSTED BY
Connected Data World
CATEGORIES
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Frequently Asked Questions
How many episodes does The Connected Data Podcast have?
The Connected Data Podcast currently has 41 episodes available on PodParley. New episodes are automatically indexed when they're published to the podcast feed.
What is The Connected Data Podcast about?
Welcome to the Welcome to the Connected Data Podcast. Connecting Data, People and Ideas since 2016. Community, Events, Thought Leadership. For those who use the Relationships, Meaning and Context in Data to achieve Great things. Bringing together Leaders and Innovators in Knowledge Graphs Graph...
How often does The Connected Data Podcast release new episodes?
The Connected Data Podcast has 41 episodes. Check the episode list to see recent publication dates and frequency.
Where can I listen to The Connected Data Podcast?
You can listen to The Connected Data Podcast on PodParley by clicking any episode. We provide an embedded audio player for direct listening, and you can also subscribe via your preferred podcast app using the RSS feed.
Who hosts The Connected Data Podcast?
The Connected Data Podcast is created and hosted by Connected Data World.
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