• Connected Data London - main annual conference & workshops

    DoubleTree by Hilton Hotel London - Tower of London


    We have our main annual conference coming up on the 3rd & 4th October. For the first time we will be running a workshop day on 3rd October - details to follow shortly. For more information and to purchase a ticket please visit: www.connected-data.london Please note you will need to purchase a ticket to attend this event.

  • Visualising knowledge graphs

    Skills Matter | Code Node

    We have 2 great speakers for September's meetup - Duncan Grant of Marklogic and Dan Williams of Cambridge Intelligence. As per usual there will be pizzas & refreshments available courtesy of our sponsors. Doors open at 6.30pm with talks starting at 7pm. To speed up entrance to the CodeNode please register for the meetup on their website https://skillsmatter.com/meetups/12836-visualising-knowledge-graphs?admin_preview=true ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ Speaker 1: Duncan Grant, Solutions Engineer at MarkLogic Title: Visualising knowledge graphs Description: Knowledge graphs are an ambition many organisations have to integrate, organise and analyse their data. Visualisations are a great way to make sense of knowledge graphs, but they can only be useful if the data underpinning them is insightful and usable. In this talk, we’ll explore each level of the stack of an application which ingests, harmonizes, models and visualises data. We’ll look at how to make the data available via a restful endpoint and the things to consider in modelling the data in both the backend and frontend. The landscape of both proprietary and open source tools available for network visualisations will be discussed and backed up with different examples, from visualising the evolution of music to accelerating drug discovery for pharmaceutical researchers. Bio: Duncan is a Solutions Engineer at MarkLogic and has been working with graphs and linked data for 9 years. Having previously worked at Cambridge Intelligence, developing KeyLines and building real-world applications focussed on visualising graphs. He now works at MarkLogic where he helps organisations tackle large-scale data integration issues (with linked data triples being just one part of that). ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ Title: When graph visualization goes wrong - some pitfalls and how to avoid them Description: A run through of some of the worst connected data visualizations I've seen, some thoughts on why they didn't work - and what you can do to avoid falling into the same traps. Bio: Dan is Head of Product Management at Cambridge Intelligence, makers of the KeyLines and ReGraph toolkits for network visualization. He has 20 years experience in B2B software, and has worked with clients ranging from aerospace and automotive to healthcare and government.

  • Graphs for recommendation engines & taxonomies in the semantic landscape

    We have 2 great speakers for our July meetup - Joe Depeau of Neo4j & Helen Lippell - Independent Taxonomy Consultant & Chair of Taxonomy Bootcamp. As per usual there will be pizzas & refreshments available courtesy of our sponsors - Neo4j & www.connected-data.london . Doors open at 6.30pm with talks starting at 7pm. To speed up entrance to the CodeNode please register for the meetup on their website https://skillsmatter.com/meetups/12573-graphs-for-recommendation-engines-and-taxonomies-in-the-semantic-landscape ------------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------------ Presenter: Joe Depeau, Senior Presales Consultant @ Neo4j Title: Graphs for recommendation engines: Looking beyond social, retail, and media Description: We’re all familiar with recommendations in a number of different areas of our lives. Recommendations for social media connections, e-commerce products, or streaming media content are ubiquitous. Perhaps less well known are applications for recommendations in different contexts - like education, HR, fraud detection, business process management, or offender rehabilitation. In this talk we will discuss some of these recommendations use cases in more detail, and look at how graph data can be used to model each domain and power a recommendations engine. We’ll also see an example use case demonstrated using Neo4j. About the presenter: Originally from the USA but now living in the UK, Joe Depeau has over 20 years of varied experience in the IT industry across a number of domains and specialties. Most recently, Joe has focused on technical pre-sales and solution architecture in the data and analytics space. When not geeking out over data and technology he enjoys camping, hiking with his dog, tending to his garden, reading, and playing boardgames and RPGs. He also bakes a mean cheesecake. ------------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------------ Presenter: Helen Lippell, Programme Chair @ Taxonomy Bootcamp Title: The role of taxonomies in the semantic landscape Description: There is rightfully a lot of buzz in the tech world about knowledge graphs and what they offer to organisations with huge volumes of data. Does this mean that taxonomies are now obsolete? Not at all! Helen gives a brief introduction to taxonomies and goes on to show how they are integral to successful knowledge modelling projects. She will draw on examples from her own experience, and will show how choosing the right tool for each job is a core skill for technology professionals. Bio: Helen has been an independent information professional for over a decade. In a nutshell, she helps organisations sort out their messy content and data. She designs and implements taxonomies, ontologies and semantic models, to help companies fully exploit the value of their stuff. She has worked for clients including the BBC, Metropolitan Police and Pearson. She is also the chair of Europe's largest dedicated taxonomy conference, Taxonomy Boot Camp London, which takes place in October every year. When she's not doing all that she's a keen quizzer who's appeared on shows including Only Connect and Mastermind.


    In lieu of June's physical meetup we have an upcoming remote webinar approaching with Tigergraph who will be speaking about some of their work in Financial Crime. You can register for this using the signup form below: https://connected-data.london/2019/05/01/how-graphs-continue-to-revolutionise-the-prevention-of-financial-crime-fraud-in-real-time/ Description: Financial crime prevention is something that affects everyone in one way or another. From the Deutsche Banks of the world to small and medium online merchants, regulations for anti-money laundering, know your customer, and customer due diligence apply. Failing to comply with such regulations can bring on substantial fines. Even more importantly, it can hurt the bottom line and reputation of businesses, having far-reaching side effects. Complying with such regulations, and actively cracking down on financial crime, however, is not easy. Cross-referencing interconnected data across various datasets, and trying to apply detection rules and to discover patterns in the data is complicated. It takes expertise, effort, and the right technology to be able to do this efficiently. A natural and efficient way of looking for patterns and applying rules in troves of interconnected data is to model and view that data as a graph. By modeling data as a graph, and applying graph-based algorithms such as PageRank or Centrality, traversing paths, discovering connections and getting insights becomes possible. Graphs and graph databases are the fastest-growing area of data management technology for a number of reasons. One of the reasons is because they are a perfect match for use cases involving interconnected data. Queries that would be very complicated to express and very slow to execute using relational databases or other NoSQL database technology, are feasible using graph databases. With the rise in complexity of modern financial markets, financial crimes require going 4 to 11 levels deep into the account – payment graph: this requires a different solution than either relational or NoSQL databases. How are organizations such as Alibaba, OpenCorporates, and Visa using graph database technology to not just stay on top of regulation, but be one step ahead in the race against financial crime? Is it possible to do this in real time? What do graph query languages have to do with this? For answers to those questions, and more, join some of the world’s Graph database leading experts in our Connected Data London live webinar on June 5, 9 am PT / 12pm ET / 4 pm BST / 6 pm CET, sponsored by TigerGraph.

  • Fighting Deforestation with Knowledge Graphs & GRAKN.AI -Complex Biomedical Data

    As usual doors open at 6.30 with complimentary Pizza and Beer / other drinks available thanks to our sponsors. Please join the group below to register to streamline entry to the venue on the evening: https://skillsmatter.com/meetups/12178-connected-data-london-may Title: Fighting Deforestation with Knowledge Graphs Speaker: James Phare, Founder of Neural Alpha Description: Deforestation in recent years has migrated from traditional areas & commodities such as Palm Oil to new geographies, commodities and actors. Knowledge Graphs offer an innovative approach to understanding these drivers & informing actors such as Commodity Traders, Financial Consumers, Governments and other parties for sourcing, investment and policy making decisions. James will talk about Neural Alpha's work on www.trase.earth - a multinational NGO-led project tackling these causes. He will share their experience of using Label Property Graphs alongside Linked Data technologies and standards such as SKOS. Bio: James founded Neural Alpha in 2017 to bring innovative Connected Data solutions to the financial sector with a particular focus on Sustainable Investing. James has a track record of delivering innovative data solutions within the financial sector having consulted extensively at many of the world's largest Investment Banks, Mutual Funds and Hedge Funds. Prior to becoming a Consultant James was Head of Information Management at Man Group plc following roles at Thomson Reuters. James is the Event Director of Connected Data London and holds a Bachelors Degree in Economics & Economic History from the University of York. ------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------ Title: Using GRAKN.AI for Big Complex Biomedical Data Speakers: Tomas Sabat, Chief Operating Officer @ Grakn Labs Description: The success or failure of any modern organisation relies on the way they leverage their data. However, most institutions and organisations have no way to aggregate the magnitude and complexity of their disparate data catalogs. They require a unified representation of their data which represents their specific domain truthfully as well as conceptually. In other words, they require an expressive data model and an intelligent query language to perform knowledge engineering over complex datasets. In this Meetup event, we will introduce GRAKN.AI, a distributed hyper-relational database for knowledge engineering, to Manchester's engineering community. Systems biology is one of the domains that produces huge amounts of data and presents integration challenges due to their complex nature. As understanding the complex relationships among these biological data is one of the key goals in biology, we will demonstrate how Grakn is used to integrate disparate biological data into a knowledge graph that leads to valuable new insights of our data at scale. Grakn provides the knowledge base foundation for intelligent systems to manage complex data. We will also introduce Graql: Grakn's reasoning (through OLTP) and analytics (through OLAP) query language. Graql provides the tools required to do knowledge engineering: an expressive schema for knowledge modelling, reasoning transactions for real-time inference, distributed algorithms for large-scale analytics, and optimisation of query execution. In addition, we will discuss how Graql’s language serves as unified data representation of data for cognitive systems. Bio: Tomas is the COO of GRAKN.AI, the knowledge graph for intelligent systems. He works on introducing the world on how to use a Grakn knowledge graph to build cognitive and AI systems, working in industries such a biotech, finance and cyber-security.

  • GSQL Real-time Deep Link Pattern Analytics & Azure Cosmos DB in capital markets

    As usual doors open at 6.30pm with talks starting at 7pm - pizza & beer are available courtesy of our sponsors. Please provide us with your full name for building security requirements and when arriving at the Deallogic reception tell them you are attending the CDL meetup for registration. Meetup is hosted by Lab49. ======================================================================= Talk #1 - Dr. Mingxi Wu, Tigergraph Title: Real-time Deep Link Pattern Analytics with GSQL: Expressive Yet Easy-To-Use Graph Query Language Brief: Graph query language is the key to unleashing the value of interconnected data. The talk discusses the prerequisites of a graph query language for successful implementations of real-world graph use cases. It also surveyed the pros and cons of three graph query languages - Cypher, Gremlin, and SPARQL. Finally, The talk will present GSQL, which shows TigerGraph's vision of a standard graph query language. We will focus on real-time deep link pattern analytics and accumulator, the two must-have ingredients of an expressive yet easy-to-use graph language. The talk will share examples with use cases such as next-generation fraud detection, anti-money laundering, and recommendation engine. Bio: Mingxi Wu is the VP of Engineering at TigerGraph and is focused on building the platform as well as graph query language that powers the only scalable graph database for the enterprise. Before TIgerGraph, Mingxi led development teams at Ad-Tech startup Turn (acquired by Amobee), Oracle Relational Database Optimizer Group, and Microsoft SQL Server Manageability Group. He has won research awards from SIGMOD, VLDB, and KDD and holds several patents on big data and pending patents on graph management. Mingxi received his Ph.D. from the University of Florida, where he specialized in database and data mining ======================================================================= Talk #2 - Pete Hawtree and Radu Petre of Lab49 Title: Azure Cosmos DB in capital markets Brief: Many financial calculations require management of the calculation dependencies and Azure Cosmos DB presents a managed cloud solution to achieve it. Combining Azure Cosmos DB graph capabilities with Azure Functions allowed us to build an enrichment and calculation engine with a minimal amount of code. During this talk, we will run a quick demo and discuss the lessons learned. Bio: Pete Hawtree and Radu Petre work for Lab49 - strategy, design and technology consulting firm. With experience in building risk aggregation and regulatory reporting solutions for tier 1 financial institutions, they are now looking into assisting financial services firms with the implementation of the cloud-native systems.

  • Knowledge Graphs in Financial Services - ML, Viz & UX for Connected Data

    Please register @ https://skillsmatter.com/meetups/12277-knowledge-graphs-in-financial-services-ml-viz-and-ux-for-connected-data to speed up your registration on the day. We have 2 great speakers signed up for the March CDL meetup - Expero & Refinitiv (formerly Thomson Reuters Financial & Risk). As usual doors open at 6.30 with talks starting promptly at 7. Beer & Pizzas will be available courtesy of our sponsors Expero & Refinitiv. As usual please register at https://skillsmatter.com/groups/10779-connected-data-london#overview to ensure checkin process is fast & smooth! Talk #1 Speakers: Graham Ganssle & Chris LaCava of Expero Title: Trading Alternative Assets using Connected Data Company: Expero Inc. are a US-based software house specialising in Connected Data software solutions. Description: Trading alternative assets is complicated business. In contrast to equities trading, there is a lengthy and multi-tiered compliance workflow to ensure clearance of trades. The iteration between "what-if" trade scenarios and compliance scoring is one of connected data, as a trader's strategy can be represented as a set of edges in a graph structure where nodes represent instruments in a portfolio. We can then deploy machine learning algorithms to assist a compliance officer in scoring the strategy, dramatically increasing efficiency. Furthermore, we can use modern graphML techniques to recommend best possible actions to a trader in real time, increasing her efficiency as well. Once the technical and algorithmic complexity has been tackled, the challenge of conveying this complex information to constituents in a way that is timely, comprehensible and actionable still remains. Bios: Graham Ganssle, PhD. Dr. G is a specialist in the field of deep learning. His education focused on digital signal processing and optimization of recursively dependent nonlinear physical systems. His expertise is currently focused on autonomous generative systems and modern methodologies for time series analysis and forecasting. Graham and his team architect and build machine learning systems to leverage the huge amount of data collected in many domains, including the trading business. Chris LaCava. Chris has spent the past two decades defining, designing and building software for a variety of industry verticals. He has experience as a usability engineer, interaction designer, front-end developer as well as product manager for both consulting and product-oriented organizations. Chris earned his B.A. in Anthropology and Behavioral Science from Hampshire College. Prior to joining the Expero team, Chris worked to bring healthcare-related software solutions to market for Visible Health as VP of Product. ------------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------------ Talk #2 Speaker: Edin Zajmovic - Director of BOLD (Big, Open, Linked, Data) Solutions at Refinitiv Company: Refinitiv – formerly the Financial and Risk business of Thomson Reuters – is a global provider of financial markets data and infrastructure. Title: Using Graph centrality analytics for sector rotations based on Starmine scores Description: Investment Research is a core function within Financial Services which has seen significant innovation & disruption with MIFID II reforms & other initiatives recently. In this talk Edin will present how Refinitiv's award winning StarMine research and Big Open Linked Data platforms (BOLD) help Analysts automate Investment decisions, discover new opportunities, analyse risk and explore financial markets in new ways. Bio: Edin is Product owner lead for launching innovative disruptive technology & content to market collectively called Big, Open, Linked, Data (BOLD) Solutions: PermID, TR Intelligent tagging, TR Knowledge-Graph feed, and Text-feed APIs. Edin holds an MBA from Boston University.

  • The Future of Graph Query Languages, Introduction to SKOS & graph Investigations

    First meetup of 2019. We will have 3 speakers with a range of topics from introductory to technical. We also have some Swag from the 2018 conference so those attending can grab a conference bag, mug and other goodies on a first come, first served basis! As usual doors open from 6.30 with talks starting promptly at 7. Complimentary pizza is available & the Code Node bar is open as usual. Dont forget to register online with https://skillsmatter.com/ if not already to save time on the day! #SPEAKER 1# Gavin Mendel-Gleason, CTO DataChemist Title: The Victors will be Declarative - Exploring the Graph Query Language of the Future Talk Summary / Learning outcomes: • Quick overview of query language and how we got here • Highlighting some of the issues with current approaches to nosql query • Why a simple, but flexible data model with mathematical precision and a query language to match is crucial to future success • Benefits of this approach • Introduction to DataChemist’s query language WOQL About the Speaker: Gavin Mendel-Gleason is a doctor of computer science, specialising in type theory and formal methods. He has worked in industry in big-data modelling, search and query optimisation and in both supervised and unsupervised machine learning techniques. His passion is creating a synthesis of logical techniques for knowledge representation and reasoning with modern machine learning techniques to create the database of the future. Gavin is currently the Chief Technology Officer at DataChemist. ‘DataChemist has a simple goal: to make data meaningful. DataChemist transforms the messy, inconsistent data sets of the real world into clean, structured and integrated data. Our customers improve decision-making and reduce costs as a result. DataChemist spun out of Trinity College Dublin in 2018 to bring a new way of thinking about data to the market, and help leading organisations find the relationships and insights in their existing data that have until now remained hidden. Headquartered in Dublin, Ireland, DataChemist builds Enterprise Knowledge Graphs for some of Europe’s largest financial and commercial intelligence organisations. #SPEAKER 2# Phil Stacey, Barratt Homes Title: Introduction to simple knowledge organization system (SKOS) Talk Summary / Learning outcomes: • structured data how can it be used in the building industry • controlled vocabulary benefits • standard naming convention (SMP) • linked data vocabulary with document repository • live demonstration of linked data knowledge library About the Speaker: Phil Stacey works for Barratt homes implementing document management in southern counties division. With over 25 years in the construction industry working in design and information management he is passionate in realising the business benefit structured data and BIM can deliver through its implementation at scale, across the housing sector. #SPEAKER 3# Wais Bashir, Open Source Trainer and Editor Title: Introduction to Graph Data and Open Source Investigations and Verification Talk Summary / Learning Outcomes: • Introduction to data-driven investigative journalism and graph intelligence, • Open source due diligence, • How to verify date and time from media, • How to verify location from media, • Introduction to open source asset tracing. About the person: Wais Bashir plans and holds seminars and workshops on open source due diligence and asset tracing to private companies and organisations. With over ten years experience in the news industry, he also delivers seminars to award-winning students and young media professionals from across Europe in locations around Europe, in open source news verification and investigation methodologies. He has a passion for data-journalism and all things tech.

  • Connected Data London 2018 Conference

    Etc Venues - Prospero House


    The main Connected Data London conference this year will be hosted on 7th November at Prospero House in Borough / London Bridge area of London. 4 themes, 3 tracks, 30+ speakers from thought leaders and newcomers to Connected Data ensure this is an event not to be missed. Hear from Google, BBC, Electronic Arts, Elsevier, Zalando, Wolfram the Open Data Institute and many others. Key topics this year include Graph Databases, Knowledge Engineering & Representation, Linked Data, Schema.org, Knowledge Graphs & many more! See below for more information on tracks and speakers. Nodes track The Nodes track features Keynotes by AI and Semantic Web pioneer Sir Nigel Shadbolt from ODI, and Google's Markus Lanthaler, JSON-LD inventor. Talks and panels featuring industry leaders on mainstream topics such as Data Governance, Knowledge Graphs, Query Languages and Linked Data from the likes of Electronic Arts, IBM, and Zalando. Edges track If you are more into emerging topics and want to get the latest trends from tomorrow's leaders, the Edges track will feature innovating concepts, applications and research. With experts and panelists in Graph Databases, AI & Machine Learning, Knowledge Graphs, Software Architecture, from BBC, Thomson Reuters, TigerGraph, and more. Educational Track Designed for newcomers and experienced practitioners alike. This is your chance to have intimate interactions and see the technologies in this space in action. This year's track features graph database innovators TigerGraph and Memgraph, Semantic Publishing & Annotation leaders Ontotext and PoolParty Semantic Suite as well as leaders in Graph Visualization solutions from Cambridge Intelligence and Linkurious. Expect lively and interactive presentations and demos.

  • The next generation of Graph Databases - Tigergraph & Memgraph present

    We're pleased to host speakers from two of the newer graph database technologies at our August meetup - Tigergraph from America & Memgraph from Croatia / UK. Speaker #1 - Victor Lee - Director of Product Management at TigerGraph Speaker #2 - Dominik Tomicevic Founder of Memgraph Speaker #3 - James Phare - Event Director of Connected Data London ------------------------------------------------------------------------------------------------------ TALK # 1 - Scaling up business value with real-time operational graph analytics Graph-based solutions have been in the market for over a decade with deployments in financial services, healthcare, retail, and manufacturing. The graph technology of the past limited them to simple queries (1 or 2 hops), modest data sizes, or slow response times, which limited their value. A new generation of fast, scalable graph databases, led by TigerGraph, is opening up a new world of business insight and performance. Join us, as we explore some new exciting use cases powered by native parallel graph database with storage and computation capability for each node: • A large financial services payment provider is using graph-based pattern detection (7 to 11 hop queries) to detect more fraud and money laundering in real time, handling peak volume of 256,000 transactions per second. • IceKredit, an innovative FinTech is transforming the near-prime and sub-prime credit market in United States, China and South Asian countries with customer 360 analytics for credit approval and ongoing monitoring. • A biotech and pharmaceutical giant is building a prescriber and patient 360 graph and using multi-hop exploratory and analytic queries to understand the most efficient ways of launching a new drug for maximum return. • Wish.com is delivering real-time personalized recommendations to increase eCommerce revenue. Bio: Victor Lee is Director of Product Management at TigerGraph ------------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------------ TALK # 2 - Enabling the Next-Generation of Intelligent Applications Graph databases have demonstrated the ability for organizations, from cutting-edge startups to global enterprises, to extract data intelligence that was next to impossible with traditional DBMS. However, first-generation graph databases fall short when it comes to delivering the real-time performance and scalability required to build modern applications. Memgraph is on a mission to fulfil the true potential of graph databases and open the doors to a whole new era of applications, by bringing to life a high-performance, horizontally scalable graph platform. On this evening, we will take you through our journey building the world’s fastest and most scalable graph platform, describe new and exciting use-cases we’re working on, and conclude by giving you an insight into the future of real-time graph databases and the role they will play in powering the next generation of business applications. Bio: Dominik Tomicevic is Founder of Memgraph. ------------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------------ TALK #3 - What is a Graph Database? A rapid introduction to set the scene. Talk description: James will kick off proceedings with a quick intro as to what a Graph Database is, the different flavours available and the current trends affecting the industry that will be discussed CDL18. Bio: James is Event Director of Connected Data London.