9:00-9:30AM ET | 13:00-13:30 UTC | 6:30-7:00PM IST The World Chooses Masks. We Choose the Knowledge Graph to Fight Covid Back in March 2020, we were all uncertain about what was going to happen next with the Covid-19 pandemic. There was a choice to wear the mask and sit at home, or just pull up your socks and build a knowledge graph that could possibly save us from the pandemic. We chose the latter. \n
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Shyam Pratap Singh Associate Consultant, Al Elm Information Security Company, Riyadh, Saudi Arabia
I am a software engineer by passion not by the job. I am always curious and try to learn new things. In my 7 year experience, I have worked on Blockchain, full-stack, and now exploring data science and Neo4j graph. I am fascinated by neo4j graph and in my free time, i like to build and play with the graph. I keep publishing medium articles related to graphs, data science, and Blockchain. You can read it here.
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Syed Salman Alam Associate Technical Consultant, Elm Information Security
Electronics Hardware Engineer with 8 years of professional experience in complete life cycle of IoT and electronics product development, gathering requirements, building POCs and MVP and taking it to production grade products. Recently more focusing on wireless connection of IoT smart devices and its application. Currently working as an Associate technical consultant in Elm Information Security Company in Saudi Arabia.
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Dr. Arshad Ali Khan Senior Data Scientist, ELM Saudi Arabia
I am a Senior Data Scientist, at ELM, based in Riyad Saudi Arabia. I take immense interest in AI and ML technologies particularly AI in healthcare, graph data science, data and predictive analytics, and use cases that involve NLP and Computer Vision application. I love to be part of research and innovation projects which impact everyday life and taking part in the NODES21 talk reflects that interest; it has provided an opportunity to touch base with the community and share our findings and experiences.
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9:30-10:00AM ET | 13:30-14:00 UTC | 7:00-7:30PM IST BASF Knowledge Graph: Local and Global Traversals at Scale A Neo4j knowledge graph with world's journal and patent data on 5 billion nodes and 50 bio edges is built for local and global traversals on tasks such as author and organization disambiguation, executed via a java-embedded neo4j-enterprise server, built with maven, and deployed as a docker build.
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Janez Ales, PhD Mathematician, Graph Algorithms Research Scientist, Knowledge Architecture&Innovation, BASF
Author's love for all graphs goes back to the late 80's when he implemented his first graph back-end for a successful heuristic for Hamilton cycles on cubic graphs. All three of his degrees encompass algorithmic graph theory and complexity. He currently works at BASF on a world’s journal and patent graph of 5 billion nodes and 50 billion edges, with emphasis on local and global traversals, for example entity disambiguation. Development pipeline includes python pre-processing with a reverse lookup for 5 billion nodes, a 7Tb neostore, and a java server code with an embedded neo4j-enterprise, for an efficient interplay of dense and sparse traversals, enabling real time local traversals and global off-line analysis of a graph on 55 billion entities. His past work includes linear and combinatorial optimization, ML, and AI projects.
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10:30-10:45AM ET | 14:30-14:45 UTC | 8:00-8:15PM IST Shell Companies: Using a Hybrid Technique to Detect Illicit Activities Shell companies can be used to launder dirty money. Illegal arms dealers, drug cartels, corrupt politicians, terrorists and cyber-criminals have become some of the frequent users of shell companies. This study aims to develop a model for detecting shell companies using graph analytics through Neo4J.
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Milind Tiwari PhD Candidate, Bond University
Milind Tiwari is a Certified Fraud Examiner (CFE) and a Certified Anti-Money Laundering Specialist (CAMS) with industry experience with firms such as KPMG and EY. He is currently pursuing a PhD in the area of money laundering and is using Neo4J to analyze data as part of his thesis.
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10:45-11:15AM ET | 14:45-15:15 UTC | 8:15-8:45PM IST KNIME - Data Science Orchestration with Neo4j \"Sell this pen\" – an urgent business request. Data scientists have to spend a large amount of time wrangling data from different sources and running ML algorithms. With KNIME's Neo4j Connection node, data science teams can build an end-to-end data science orchestration pipeline.
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Dominic Kumar Data Architect, Deloitte
Dominic Kumar is currently an Enterprise Data Architect, working on Data and Analytics workspaces. Dominic holds a computer science Engineering degree and has 16+ years of experience in Data Architecture. He has obtained several certifications in Oracle, SQL Server, MongoDB and Neo4j. He has spent close to 2 decades working in the Oil & Gas industry. He is expertise in transforming Data into Knowledge, providing 360-degree Insight on Data and value-based solutions. Dominic participates and speaks at Neo4j global summits and is a frequent community contributor for Neo4j. His core interests are NoSQL databases, machine learning, AI & security.
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11:15-11:45AM ET | 15:15-15:45 UTC | 8:45-9:15PM IST From Text to a Knowledge Graph: The Information Extraction Pipeline In this talk, I will demonstrate NLP techniques to construct a knowledge graph using text as an input. See my blog post on this topic on Towards Data Science for more details.
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Tomaž Bratanič Data Analyst, Self-employed
Graph and network science fan. Excited about the intersection between knowledge graphs and machine learning fields. I do try to write most of what I learn in my blog posts.
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12:45-1:15PM ET | 16:45-17:15 UTC | 10:15-10:45PM IST Custom Conversion from a Relational Database to Neo4j Quickly and easily move data from your RDBMS to a Neo4j graph database. Featuring a custom hierarchy not found in the relational database, Neo4j uses attribute-level specificity via an open-source ETL tool and a CSV file.
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Jim McHugh VP, NIS - Emerging Markets Portfolio, BigBear.ai
An accomplished Sr. IT leader with over 25 years of professional experience applying technology solutions to business challenges. Mr. McHugh has expertise in data modeling, data governance, business intelligence, predictive analytics, and data science. His responsibilities include establishing and executing a strategy that ensures the application of data management & analytics to enable an organization to strategically leverage and fully realize the value of its data.
Justin is a full-stack developer hailing from Utah. When he’s not creating Java APIs, driving data solution paradigm shifts, or innovating JavaScript UI extensions, he enjoys hiking, birdwatching, and Dungeons and Dragons
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1:15-1:45PM ET | 17:15-17:45 UTC | 10:45-11:15PM IST Bridging the Gap: Using Graph Data Science to Reconcile Disparate Data with Ontologies Ontologies allow data scientists to forgo directly aligning disparate taxonomies between datasets and to traverse them using common and trusted language. We will explore methods for reconciling taxonomies with ontologies, their efficacy, and how to implement an automated alignment process at scale.
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Elizabeth Michel Senior Analytics Engineer, Tamr
I strive to bridge the gap between data science and business value. All too often, data teams are siloed from their executives, and those making the decisions for the company are not armed with the information necessary to develop data-driven insight. A dashboard is only as good as the data behind it, and one discrepancy or error in a visualization or analytic can and will undermine data trust within the enterprise.
As a Senior Analytics Engineer at Tamr, my role is to enable business users to reap the benefits of technical solutions and to fully realize the value of their data ecosystem. For many of the largest global enterprises, immense analytic value is just waiting to be unlocked, and my goal is to bring data projects through the finish line so that every team within the company can drive their decisions with trusted data.
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2:15-2:30PM ET | 18:15-18:30 UTC | 11:45PM-12:00AM IST Data Warehouse to Graph with Apache Spark A demonstration and technical discussion of how to transform any set of data warehouse tables into graphs, and load data performantly into Neo4j with repeatable batch jobs, implemented using Apache Spark.
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David Allen Global Lead Cloud Architect, Neo4j
David is a deeply technical generalist with experience in managing teams and driving towards complex goals. The most fun he has had in his career is when he is learning something new, or trying to figure out how to do something that hasn’t been done before. When not trying to improve something technical, you can usually find David playing guitar or cycling. He loves meeting new people, and has a very keen interest in language and culture and loves to find common ground with other people through travel and music.
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2:30-3:00PM ET | 18:30-19:00 UTC | 12:00AM-12:30AM IST Building an ML Pipeline in Neo4j: Link Prediction Deep Dive Hands on deep dive into building a link prediction model in Neo4j, not just covering the marketing highlights but also all the tricky technical bits that make the difference between a great model and nonsense.
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Alicia M. Frame Director of Data Science, Neo4j
Alicia Frame is the Director of Graph Data Science at Neo4j.
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Jacob Sznajdman Graph Analytics Engineer, Neo4j
Jacob Sznajdman is an algorithm developer for Neo4j and the Graph Data Science library. He has experience in Machine Learning and Data Science from text classification, machine learning library building, query resource prediction and data-driven load balancing. He also holds a PhD in mathematics and has done research on the intersection of graph algorithms and machine learning.
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3:00-3:30PM ET | 19:00-19:30 UTC | 12:30AM-1:00AM IST DreamCatcher: Deep Learning and Graph Analytics for the Dreamscape Dive into 30,000 dreams from UCSC’s DreamBank with Kineviz Data Scientist, Ana Areias. This talk will use deep learning for NLP and text-to-image generation, GraphXR and Neo4j to build a dream similarity graph, identify and interpret dream clusters and visualize and explore the subconscious terrain.
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Ana Areias Data Scientist, Kineviz
Ana is a Data Scientist at Kineviz who has previously worked on poverty prediction and big data for labor at the World Bank. A Harvard MPA-ID grad, she has been a fellow at Data Incubator, a member of DataCorps with DataKind, and a Program Manager at Data-Pop Alliance. Alongside all things data, she’s an avid surfer and a struggling billiards player.
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Neo4j Track
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9:00-9:30AM ET | 13:00-13:30 UTC | 6:30-7:00PM IST Introduction to Neo4j Join us for an informative introduction to Neo4j.
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Priya Jacob Consulting Engineer, Neo4j
Priya is a member of the Neo4j Professional Services Team.
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Tom Geudens EMEA Field Team, Neo4j
Tom is a member of the Neo4j EMEA Field Team.
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9:30-10:00AM ET | 13:30-14:00 UTC | 7:00-7:30PM IST Neo4j and GraphQL: The Past, Present and Future Neo4j has a long-standing relationship with GraphQL. Come and listen to Darrell talk about transitioning GraphQL tooling from Neo4j Labs into Product Engineering, the features of the new library, and future roadmap goals for Neo4j and GraphQL.
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Darrell Warde Software Engineer, Neo4j
In the last few years of his 7 year career in the UK Civil Service, Darrell was focused on building GraphQL applications and fostering its adoption throughout his department. Darrell brought that passion over to Neo4j in January 2021, where he is now working on building the next generation of GraphQL tooling for Neo4j.
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10:30-10:45AM ET | 14:30-14:45 UTC | 8:00-8:15PM IST Improving the Neo4j Developer Experience with Neo4j How we took a data-driven approach to improving the developer experience across Neo4j.com.
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Adam Cowley Developer Experience Engineer, Neo4j
Developer Experience at Neo4j.
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10:45-11:15AM ET | 14:45-15:15 UTC | 8:15-8:45PM IST The Neo4j Java Ecosystem Working with a Neo4j instance from the Java ecosystem was never so easy as it is today. Let's explore the options you have from plugins to object mapping.
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Gerrit Meier Software Engineer, Neo4j
As a software engineer at Neo4j Gerrit is developing the Neo4j Object Graph Mapper (OGM) and the Spring Data Neo4j (SDN). He is always looking for new things to learn and tries to make the world better by sharing knowledge and ideas. Not only because of that he is a co-leader of his local Java User Group.
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11:15-11:45AM ET | 15:15-15:45 UTC | 8:45-9:15PM IST Come for the Tools and Stay for the Developer Flexibility! Learn how Neo4j tools can help with developer flexibility, and with building intelligent applications!
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Gregory King Product Manager- DevTools, Neo4j
Greg is Product Manager for Developer Tools Neo4j Browser and Desktop. His passion is building frictionless experiences that allow users to focus on the problems they are trying to solve. For a decade Greg helped build graph-based financial crime prevention products for insurers, banks and governments. Working in Product Management and User Experience roles he developed his strong interest in all things graph, with a particular focus on the interpretability of graphs.
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12:45-1:15PM ET | 16:45-17:15 UTC | 10:15-10:45PM IST Graph Data Science 1.6: What's New? We'll update everyone on the latest GDS features in our 1.5 and 1.6 releases - covering new algorithms, supervised ML pipelines, and more!
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Alicia M. Frame Director of Data Science, Neo4j
Alicia Frame is the Director of Graph Data Science at Neo4j.
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Amy Hodler Product Marketing Manager, Neo4j
Amy Hodler is the Product Marketing Manager for Data Science at Neo4j.
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1:15-1:45PM ET | 17:15-17:45 UTC | 10:45-11:15PM IST What's New with Neo4j 4.3 Learn from experts about some of the most significant updates made to Neo4j 4.3, and achieve unlimited scale, mission-critical confidence, and developer flexibility!
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Ivan Zorratti Product Manager, Neo4j
Ivan leads the Product Management team for the Neo4j Database. He started his career at Digital Equipment Corporation, following his passion for the kernel of the PdP 11 machines and later with VAX/VMS Macro programming and networking. An author, an entrepreneur, he was founder of Dianomic Systems (an IoT startup), CTO at SkySQL (now MariaDB) and led Systems and Sales Engineering teams at MySQL, Sun and Oracle.
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Anton Persson Engineer, Neo4j
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Neo4j Engineer, Kernel team with focus on indexing.
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Valdemar Roxling Engineer, Neo4j
Neo4j core database engineer with focus on concurrent, performant and resource efficient problem solving to improve data storage and access with Neo4j.
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2:30-3:00PM ET | 18:30-19:00 UTC | 12:00AM-12:30AM IST Drawing and Creating Graphs with Arrows.app Want to draw a diagram to explain your Neo4j graph to a friend or colleague? Arrows.app the perfect tool for the job. Use it to draw pictures of graphs for presentations, blogs, or documentation. This talk demonstrates drawing with Arrows.app and super-quick ways to put data into Neo4j.
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Alistair Jones Director of Engineering, Neo4j
Alistair Jones is Director of Engineering at Neo4j, leading and growing the teams that build Neo4j. Alongside his main job in management, Alistair created arrows.app as an experimental side project, in close collaboration with Irfan Nuri Karaca.
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Irfran Karaca Software Engineer, Neo4j
Irfan has been part of the Neo4j community for more than 6 years, initially working on a Graph Visualisation and ETL tool at Kale Yazilim. He presented that work at GraphConnect 2016. He initially worked on Neo4j Browser and then the first few versions of Neo4j Bloom. He is currently one of the Lead Engineers in the Neo4j Aura team, Neo4j’s fully managed cloud service, focused on the Console of the Neo4j Aura. He worked on version 2 of Arrows, a graph drawing tool that has been used to design and prototype many graph projects, and was also instrumental in the creation of NEuler, an education tool used to introduce users to the Graph Data Science Library.
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3:00-3:30PM ET | 19:00-19:30 UTC | 12:30AM-1:00AM IST Cypher Sleuthing: Taking Your Skills to the Next Level We know the basics of Cypher and can navigate a graph, but how do we take our skills to the next level? This session will navigate more complex concepts for writing clean, simple, and performant queries with Cypher. Come join us to take the next step for Cypher expertise!
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Jennifer Reif Developer Relations Engineer, Neo4j
Jennifer Reif is an avid developer and problem-solver. She holds a Master’s degree in Computer Management and Information Systems and has worked with large enterprises to organize and make sense of widespread data assets and leverage them for maximum business value. She has worked with a variety of commercial and open source tools and enjoys learning new technologies, sometimes on a daily basis! Her passion is finding ways to organize chaos and deliver software more effectively.
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Visualization Track
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9:00-9:30AM ET | 13:00-13:30 UTC | 6:30-7:00PM IST Improving Data Exploration, Discovery and Collaboration with Neo4j and Motif Introducing Motif, a graph intelligence application to simplify the discovery and collaboration of connected data. Building on top of popular solutions such as Neo4j and Jupyter Notebooks, Motif aims to make graphs more accessible to both data scientist and business teams.
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Timothy Lin Co-founder, Cylynx
Timothy is the co-founder of Cylynx, which specialises in fraud detection and forensics. Recognised in Regulations Asia Awards 2020 as \"One to Watch\", they partner with financial institutions, blockchain companies and regulators to flag out suspicious activities. He has a wide range of experience in applied data analysis and delivered end to end graph data science consulting services for global MNCs.
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9:30-10:00AM ET | 13:30-14:00 UTC | 7:00-7:30PM IST Answering Graph Questions With Search and Visual Exploration in Neo4J Bloom Neo4j Bloom combines the power of graph-based search and visual graph exploration in a product you will want to show off with your data. Come and see the latest we’ve added in Bloom to help it become your first stop for visualizing Neo4j graphs.
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Anurag Tandon Director of Product Management, Neo4j
Anurag’s mission is to help Neo4j customers get successful with our portfolio of end-user products. Prior to Neo4j, Anurag spent almost two decades in big data analytics and business intelligence, while in product and customer facing roles at Zoomdata and MicroStrategy. He is keenly passionate about enabling visual experiences that allow end users to freely explore their data assets.
Anurag holds a B.Tech. from IIT Bombay and an MS from University of Maryland, both in Mechanical Engineering, and an MBA from University of Michigan. He lives in Northern Virginia and enjoys leisure time with family and friends, and wandering to new places; ideally both.
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10:30-10:45AM ET | 14:30-14:45 UTC | 8:00-8:15PM IST Revealing the Life of a Twitter Troll with Neo4j Katerina will combine Neo4j and Cypher queries with visual timeline and graph analytics to unpick the behaviors of 3000 Russian Twitter trolls.We’ll see how trolls exploit tragedies, hashtags, and fake personas to stir up hatred, and how graph tools can help to find and shut down their accounts.
Experienced Solutions Engineer with a demonstrated history of working in the computer software industry. Skilled in web development, data visualizations and with a wide range of expertise and experience in various business sectors. Very enthusiastic in delivering high-quality training and consulting services to people around the world.
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10:45-11:15AM ET | 14:45-15:15 UTC | 8:15-8:45PM IST How to Visualize Relationships Between Supervisory Board Members, Management Board Members, and Auditors Using Neo4j Have you ever wondered who the key players in the German DAX 30 companies are and who is connected to whom? I will show who studied together, who worked together, and who was born in the same region. I will also explain the effects, both good and bad, of the \"Deutschland AG\".
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Julian Gruemmer Research Assistant, Friedrich-Alexander-University
I'm Julian and not into IT at all, but there is one thing that really fascinates me: GRAPHS! Graphs changed my life and I use it for my research, my teaching and also my spare time. Feel free to contact me and let me introduce to my graph universe.
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11:15-11:45AM ET | 15:15-15:45 UTC | 8:45-9:15PM IST Improving Fraud Detection and Investigation with Machine Learning and Graph Analytics Smart criminals need more than simple rules to stop them. In this talk we'll demonstrate how to combine machine learning, graph analytics, and visualization to uncover fraud schemes that would go unnoticed with traditional approaches. The talk will include concrete examples inspired by real clients.
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Jean Villedieu Co-founder, LINKURIOUS
Jean is the head of sales of Linkurious, a software company pioneering the use of graph analytics in financial crime investigations. With Linkurious, he has worked with companies and government agencies throughout the world on fraud, cyber-security or intelligence projects. Jean has a degree in political sciences and a degree in competitive intelligence.
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12:45-1:15PM ET | 16:45-17:15 UTC | 10:15-10:45PM IST Building Executable Microservice Process Flows Using a Cypher Compiler What if your architecture diagram was also your executable artifact and process documentation?
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Srivathsava Rangarajan Principal Backend Architect, Chowbus
Sri is the Principal Backend Architect at Chowbus, Inc. - an ethnic food delivery startup, and an avid data nerd. He has experience with diverse databases and the wrangling of unstructured data for critical path use-cases. He is also *that guy* who plies the DBA regularly with food and beverage to maintain skunkworks superuser access to the database at all times. When he isn't on a soapbox proselytizing the right tool for the right job, he is worrying about portfolio exposure and/or evangelizing better understanding of data structures, domains and models to ultimately foster sustainable design and architecture in order to continually find uninterrupted sleep every night.
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1:15-1:45PM ET | 17:15-17:45 UTC | 10:45-11:15PM IST Modelling Physical Systems Using Graphs Never has understanding the environment been more crucial, especially when it comes to natural resources and energy. Challenge: environmental data is fragmented across different systems and formats. Proposition: Bring disparate data together into a spatial knowledge graph ready for extensions.
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Mike Morley Director AI/ML Technology, Arcurve
Mike has delivered innovation and insight through implementing leading-edge technology in the mining, environmental, AEC and engineering market sectors. For more than 25 years, Mike has helped organizations realize the value of their data as both an entrepreneur and in strategic leadership roles. He began working with Neo4j in the context of developing environmental knowledge graphs as the Dir. of Knowledge and Technology at Matrix Solutions in 2012 to addressing the complex and growing challenges associated with effectively deriving insight from environmental data management. Traditional relational models had proven to be limited.
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Peter Tunkis Data Scientist, Arcurve
Pete Tunkis is a Data Scientist with the Arcurve Advanced Analytics team. He has over a decade of experience in data-driven research, analytics, and project management. His strengths lie in combining deep knowledge of research best practices with industry application, adapting to changing scenarios and quickly learning and understanding new skills and complex systems. Pete earned a Ph.D. in Political Science from The Ohio State University with a focus on behavioural analytics, and he brings with him a strong understanding in both statistical/machine learning approaches and qualitative research methodology. Before joining the Arcurve family, Pete worked in government, academia, banking, and insurance in Europe and the United States. Otherwise, he enjoys yelling at the TV when the Calgary Flames are losing and is always up for a game of darts.
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2:15-2:30PM ET | 18:15-18:30 UTC | 11:45PM-12:00AM IST AviarGraph - Visualizing Neo4j Graphs in VR Using Force-Directed Graph Technology Do dense graphs overwhelm your ability to process what you see? What if instead of analyzing your graph on 2D monitors, you could stand inside your graph in a space as big as the sky? AviarGraph delivers dynamic Neo4j graphs in VR using force-directed graph technology to let you immerse yourself in your data.
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James R. Mireles
I have been in software development for over 25 years, most spent in databases. But in 2014, facing a NASA layoff (layoffs happen in the NASA world; they're part of the experience), I decided to pivot into VR. I acquired an Oculus DK2 and started learning Unreal and then, later, Unity. Data science in VR is a way to leverage my software development skills in a dynamic and growing field. What else is of interest about me? Hmmm, I have a history degree, which means I would probably be the only presenter on the program with a non-technical degree (something I'm quite proud of). And I have one party trick: I can balance a sharpened pencil on my index finger.
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2:30-3:00PM ET | 18:30-19:00 UTC | 12:00AM-12:30AM IST Creating Your First Graph Visualization: A Low-Code Approach You've seen those graph visualizations, and you always wanted to create your own awesome apps that perfectly fit your use-cases, which can provide not just visualization but also insight. I will show you how to create a graph visualization for your Neo4j data in less than 10 minutes without coding!
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Sebastian Müller CTO, yWorks
Sebastian has spent his entire professional career on the topic of interactive graph visualization. Almost 20 years ago, he helped establish [yWorks](https://yworks.com) as the leading provider of graph visualization software development kits. Today he is CTO of yWorks, leading a team of more than two dozen software developers, working on the company's visualization SDKs [yFiles](https://yworks.com/yfiles). He is a developer by heart who wants to help others getting into graph and diagram visualization as smoothly as possible.
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3:00-3:30PM ET | 19:00-19:30 UTC | 12:30AM-1:00AM IST Compliance Services in Gaming; Know Your Customer Connections with Neo4J This Neo4j talk provides insight into the online gaming sector. This worldwide sector is rapidly evolving as advanced payment solutions are used, but at the same time compliance with regulations in various jurisdictions is essential. It is key for its participants to understand the KYC Connection.
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Arthur Namias de Crasto Compliance Officer, EM Group
Arthur Namias de Crasto borne and raised in the Netherlands and currently living in Curacao is a economist of the University of Amsterdam with more that 20 year experience in various management positions in the Financial Sector in Curacao. He is neo4j certified and works as a compliance officer at a EM Group a trust & corporate services provider based amongst others in Curacao and various other jurisdictions.
8:00-9:00AM ET | 12:00-13:00 UTC | 5:30-6:30PM IST
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Emil Eifrem Founder and CEO, Neo4j.
Emil Eifrem sketched what today is known as the property graph model on a flight to Mumbai in 2000. As the CEO and Co-Founder of Neo4j, and a co-author of the O'Reilly book Graph Databases, he's devoted his professional life to building, innovating and evangelizing graph databases.
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\n Closing Keynote Session \n
4:00-5:00PM ET | 20:00-21:00 UTC | 1:30-2:30AM IST
\nK-Dearest Neighbours: Meet Some New Friends in the Neo4j Graph! There are a lot of really interesting folks in the Neo4j community and customer graphs, and they’re doing lots of fascinating and useful things. From insuring your phone, to civic participation and busting financial frauds as they happen, there are a lot of cool stories to tell. Join Jim and meet some of your K-Dearest Neighbours (we couldn’t talk him out of that pun, sorry) from the Neo4j community this year.\n
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Jim Webber Chief Scientist, Neo4j.
Dr. Jim Webber is Neo4j’s Chief Scientist and Visiting Professor at Newcastle University. At Neo4j, Jim works on fault-tolerant graph databases and co-wrote Graph Databases (1st and 2nd editions, O’Reilly) and Graph Databases for Dummies (Wiley).
\n 9:00-9:30AM ET | 13:00-13:30 UTC | 6:30-7:00PM IST Combating the Medical Climate Crisis with Neo4j Knowledge Graph of Infectious Diseases & Antibiotic Resistance and Medical AI More people will die from antibiotic resistance by 2050 than cancer. It will cost the world up to $100 trillion USD. To counter this public health crisis, we present a comprehensive Infectious Diseases Neo4j Knowledge Graph to offer the right antibiotic for right diagnosis in right dosage.\n
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Roland Haas QSO Technologies India Pvt. Ltd.
Roland E Haas is a professor at the International Institute of Information Technology Bangalore and chairman of QSO Technologies India Pvt. Ltd., a consulting and systems engineering services provider which he founded in 2007. He has 25 years of experience in research, techno-managerial, business innovation and development assignments in Germany, India, USA, Japan and Israel. Dr. Haas has broad experience in Automotive R&D, Aerospace R&D, Systems Engineering, Software & IT services, consulting and strategy. Heading the Daimler India R&D Center in Bangalore. He has co-authored several books. Dr. Haas was an adjunct faculty member of the Indian Institute of Science (IISc) and has done teaching and research in Cyber Security, Automotive Electronics, Car IT, Software technologies, Autonomous Systems, Management Information Systems and Virtual Product Creation. He is an Alumnus of the German National Academic Foundation (Studienstiftung des Deutschen Volkes) and the Mercedes-Benz Scholarship Foundation. Dr. Haas studied Computer Science, Mathematics and Electrical Engineering at the University of Karlsruhe (now Karlsruhe Institute of Technology, KIT) and the Technical University of Clausthal.
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Asoke K Talukder Chief Science & Technology Officer, SRIT India Ltd
Asoke is an innovator and an entrepreneur. He innovated and engineered many killer products and first in the world. He engineered the first 64 bit database in the world for Digital DEC Alpha and Informix in 1993. He setup the first X.25 network with reverse emulator for the Department of Telecommunications, India. He engineered the Network Management System for Queen’s Award winning PDMX. He co-founded Cellnext in 2000 that defined the mobile Web and mobile Internet in India. He co-founded the first big-data genomics company InterpretOmics in India in 2008. He is recipient of many awards for innovation and professional excellence including Karnataka Bio-Excellence Award, ICIM Professional Excellence Award, ICL Services Trophy, ICL Excellence Award, IBM Solutions Excellence Award, Simagine GSMWorld Award, Atlas Club Excellence Award, All India Radio/Doordarshan Award etc. Asoke's expertise ranges from compilers to cancer. He did M.Sc in Physics and Ph.D in Computer Science. He was the DaimlerChrysler Chair Professor at IIIT-Bangalore. Two of his books have been translated in Chinese Language. His current areas of interest are Knowledge Engineering and Medical AI.
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9:30-10:00AM ET | 13:30-14:00 UTC | 7:00-7:30PM IST Controlling Cypher Queries with Voice I'm a Trekkie. I love the computers of Star Trek. As a first step to Star Trek-level tech, let's control the Cypher language with voice.
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Koji Annoura CTO, UTI,Inc.
Koji Annoura has over 40 years of commercial experience in IT. He has been dealing with Agile since 2009, he is one of the founders of the Neo4j graph database user group in Tokyo/Japan. He was responsible for Agile transformation and implementation of Agile and Scrum to many companies and teams. He is one of the authors of the book The Practical Guide to MacOS X Server. Fundamental Para-Sports instructor. Completed the Japanese sign language basic course. Certified UCC Coffee Professional. SCAJ Coffee Meister. Graph Community MVP Asia
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10:30-10:45AM ET | 14:30-14:45 UTC | 8:00-8:15PM IST Building Great, Simple APIs for your Neo4j Projects Introduction to \"FastGraph\" - a project to integrate FastAPI with Neo4j. Simple to get started and comprehensive enough to deploy into production, FastAPI is a hot new entrant for backend Python developers - and FastGraph extends the functionality to Neo4j.
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David Bender Associate Director, Digital- Fiera Real Estate
A former management consultant turned programmer and data strategist. Currently, I'm working in real estate investing - looking at novel ways to change back-end systems and process to better scale analysis and decision-making. I'm fascinated with machine learning, geospatial analysis, process improvement, and open-source projects. Originally from Canada and now living in London, UK - I'm a long-suffering Hamilton Tiger-Cats fan with separation anxiety from being away from a chairlift.
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10:45-11:15AM ET | 14:45-15:15 UTC | 8:15-8:45PM IST Graph Databases for Embodied Conversational Agents in Unreal Engine 4 With the advent of Epic Games' Metahumans, it is important to back visually stunning virtual humans with AI capabilities. In this talk, I will present a UE4 plugin, FANTASIA, that connects Neo4j with technologies from Microsoft and Amazon to build virtual humans who can sustain conversations.
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Antonio Origlia Researcher, University of Naples Federico II
I took a Master Degree in Computer Science in 2009 at the University of Naples “Federico II” with a thesis on automatic emotion recognition in speech using prosodic features and neural networks. Emotion recognition from prosodic cues was the topic of his PhD, also taken at the University of Naples “Federico II” (Doctoral School of Mathematical and Computational Sciences) with a thesis titled “Syllable based speech analysis for affective robotics”. In the following years, he moved to the Human-Computer Interaction field, working with augmented/virtual reality, Artificial Intelligence and dialogue systems applied, mainly, to the field of Cultural Heritage promotion. I have knowledge concerning Bayesian models to manage dialogue systems, machine learning for time series analysis, graph databases for knowledge representation and advanced interfaces using the Unreal Engine 4.
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11:15-11:45AM ET | 15:15-15:45 UTC | 8:45-9:15PM IST GeneWeaver: Building a Graph to Map Variants to Genes Using Neo4j 4.x and Bulk Import Mapping all the possible variants within genomes is challenging because there are hundreds of millions with billions of relationships and new data added all the time. Using bulk import with Neo4j 4, we write the nodes and relationships to map genetic entities and give researchers new insights.
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Matthew Gerring Senior Software Developer, JACKSON LABORATORY
Matthew is a software developer working in science and research. He is interested in graphs, data and user interface. He worked in computational fluid dynamics then physics and has recently moved to biology by way of geology (if that is a way). He is currently involved with analyzing microscope images and in building genetic graphs. He has released open source codes, some detailed in papers with hundreds of citations, others never heard from again except in the dark recesses of github.
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12:45-1:15PM ET | 16:45-17:15 UTC | 10:15-10:45PM IST The Apiax RegTech Knowledge Graph The Apiax RegTech Knowledge Graph aims to become the real-time subject matter assistant for legal experts. In our talk we'll show why a graph database, Neo4j specifically, allows us to model, update, and maintain our data in a way we think is superior to relational or document-oriented databases.
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Peter Bouda Data Engineer, Apiax
Creative IT professional with focus on rapid development strategies based on agile methods. Creates open environments for working, learning and sharing in teams. Delivers high-quality products with test-driven approaches and user metrics. Enjoys solving complex problems and innovating both on business strategies and product development. Participates in open source communities and likes to write about technology. The rest is LEGO.
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Gonçalo Silva Product Owner, Apiax
My name is Gonçalo and I am a Product Owner for Apiax. I am an enthusiastic person and a team player, fearless about learning new technologies. I graduated from the University of Lisbon in 2015 with a Master's Degree in Computer Science. I love to solve new challenges and proof that we can do things differently.
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1:15-1:45PM ET | 17:15-17:45 UTC | 10:45-11:15PM IST Our Journey from Test Automation to a Data Marketplace I would like to narrate our story of how KBC stimulated an entrepreneurial mindset in us and how we started a test automation company with Neo4j. I'll tell you why we eventually failed and how this experience made us fall in love with Neo4j and use it in our next project: an internal data marketplace.
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Frederik Byl Developer, KBC Group
I am a developer who is always searching for simple solutions to difficult problems and who likes to connect dots. :-) I am a Neo4j lover, a solid web believer and a science enthousiast! I am not a specialist, but a generalist.
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2:15-2:30PM ET | 18:15-18:30 UTC | 11:45PM-12:00AM IST Evolving an Enterprise with Graph Technologies From simply linking disparate domains, to accelerating our journey to edge computing, to driving business flows using graph algorithms, our graph practice has come a long way. This talk is sharing that experience and the key challenges we faced along the way.
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(Hari) Harikrishnan Nair Senior consultant, IT architecture, Dell technologies
Experienced, hands-on software developer/architect specializing in services architecture, cloud enablement and distributed systems. Lead architect for commerce services at dell technologies. From a technology perspective I have overseen the evolution of our systems from monoliths, to services, to cloud as well. From a productization angle have overseen the systems move to meaningful products that can be used by many consumers across dell technologies companies.
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2:30-3:00PM ET | 18:30-19:00 UTC | 12:00AM-12:30AM IST Pix.Wine: How We Build a Knowledge Graph of the World of Wine Pix.Wine is a commercial search engine for wine powered by Neo4j. We index sales inventory data from wine suppliers and retailers to help customers find the right wine for the right occasion, and acquire it quickly and easily. This talk will detail our software architecture and data pipelines of Pix.Wine.
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Steve Blackmon VP Data, Pix.Wine
Steve has worked on semantic web and big data problems since 2005, presently as VP Data Science at Pix.Wine. Steve is based in Austin, TX, where he co-organizes the Austin Data Meetup and has founded and consulted with early-stage companies on data architecture and strategy. Steve serves as VP, Apache Streams at the Apache Software Foundation. Steve has a Masters in Computer Science from USC, and an MBA and BS in Computer Engineering from UT Austin.
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Yash Gad Data Scientist, Pix.Wine
Yash Gad is a Data Scientist with Pix. He has particular expertise in marketing and communication analytics, and the development of unique methodologies to connect entities and stakeholders across multiple domains. Yash holds a BA in Biology and Psychology from the Johns Hopkins University, and a PhD in Biophysics and Computational Biology from the University of Illinois at Urbana-Champaign, with an emphasis in neural networks and learning algorithms.
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Alan Garcia Data Engineer, Pix.Wine
Alan Garcia is a Data Engineer with Pix. He has ~16 years of technical experience ranging from application development to data analysis and ML. Alan is responsible for the maintenance and continual enrichment of the Pix Wine Taxonomy.
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3:00-3:30PM ET | 19:00-19:30 UTC | 12:30AM-1:00AM IST (:Neo4j) - [:SIP_OF] -> (:HotChocolate), Your Property Graph Served by GraphQL in .NET Neo4j property graphs are great for working with complex data, and although there's currently a lack of adoption in .NET community due to tooling, we want to change that. Integrations provided by HotChocolate, a GraphQL platform in .NET, will expose your property graph as queries, mutations, and subscriptions.
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Arif Hanif Software Development Manager, Affiliated Engineers, Inc.
Arif currently works for Affiliated Engineers, Inc. out of their Metro DC office. As a member of the national custom development group, Arif is a leader in the implementation and support of new processes and technology throughout the organization. The range of practice for this team is focused on (but not limited to) process mapping, workflow documentation, data analysis, desktop and web application development. Arif is a technology enthusiast with a mechanical engineering degree from Ryerson University and is a registered professional engineer.
Arif is interested in using property graphs to represent engineering data, which has high number of relationships and dependencies.
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Best Practice Track
9:00-9:30AM ET | 13:00-13:30 UTC | 6:30-7:00PM IST 10+ Years of TeX Live in a Graph Database TeX Live is the most widely used TeX distribution, supporting Windows, Mac, and all kind of Unixes. About 11 years ago, we introduced an online distribution, shipping about 4Gb of programs and data with daily updates. Tracking this in a graph database gives a sizable graph of 300,000 nodes and 16 million vertices.
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Norbert Preining Researcher, Fujitsu
Mathematician and Logician by education, Norbert is now working for Fujitsu Research Labs on Machine Learning and Open Source. His core interests are mathematical logic, computer science, machine learning, AI, security, software verification and specification. He is also the architect and main developer of the TeX Live distribution and package management system, and has developed the cross-platform package manager doing the heavy work.
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9:30-10:00AM ET | 13:30-14:00 UTC | 7:00-7:30PM IST Set Your Graph in Hyperdrive with Machine Learning and MLOps Mastering graph analysis and building MLOps native apps is far from easy. We will demonstrate how machine learning algorithms can leverage network science to generate enhanced classification models and propagation analyses. Learn how to tame system complexity with MLOps automation.
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Camilla Dal Rio Data Scientist, Moviri S.p.A.
Camilla started her journey in Stats&Finance, landing in the Data Science world in Moviri's Analytics team. With a data driven mindset, Camilla and the Movirian data scientists help customers in designing and implementing business solutions at scale, exploiting cutting edge softwares and technologies. Graphs represent a fundamental asset in data portfolio. Camilla is eager to share how the combination of Neo4J, ML and MLOps helped in taming complexity in a challenging context.
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10:30-10:45AM ET | 14:30-14:45 UTC | 8:00-8:15PM IST Cypher MERGE Explained Cypher's MERGE is both straightforward and not- this lightning talk dives into the foundations of MERGE so that \"things that could go wrong\" are clearly understood and prevented up front.
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Luanne Misquitta Vice President of Engineering, GraphAware
Luanne Misquitta is VP of Engineering at GraphAware and has been (happily) working with Neo4j for over 10 years. She is a frequent participant at graphy events and has spoken at GraphConnect in Europe and the US. She works with some of GraphAware's key clients on graph modelling, Cypher, best practises and the application of graphs in various domains. She was previously an open source committer and a core contributor to the Neo4j OGM and SDN 4 frameworks.
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10:45-11:15AM ET | 14:45-15:15 UTC | 8:15-8:45PM IST Link Prediction in Knowledge Graphs using Neo4j Social media encourages travel. We will use Neo4j to predict and visualize people's travel decisions using an algorithm based on information retrieval methods around tourism concepts.
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Samira Korani Social Data Scientist, PhD Student
Knowledge Graph and NLP Expert
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11:15-11:45AM ET | 15:15-15:45 UTC | 8:45-9:15PM IST Graph AI to Combat Fraud in Fintech and Insurtech Especially given its dynamic nature, fraud is a major area of concern requiring significant time and resources to isolate from high-volume transaction data. We have developed an innovative new composite AI-based solution with graph-supervised learning coupled with explainability.
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Alberto De Lazzari LARUS Business Automation
Alberto is a passionate technologist who always keeps up with the latest patterns, methodologies, and frameworks. In the past 10 years, he has worked in very different industries, from automotive and fleet management to insurance and banking. Since 2007, Alberto he has been working on legacy and cutting-edge systems as well as a wide range of internalization and integration IT projects. Graphs have been Alberto's passion since the university, where he wrote a thesis on clustering algorithms and neural networks. He is a contributor to official Neo4j projects, including [APOC](https://github.com/neo4j-contrib/neo4j-apoc-procedures) and [ETL](https://github.com/neo4j-contrib/neo4j-etl-components).
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Surya Josyula Director, Fujitsu Ltd.
Surya Josyula is Director of Marketing at Fujitsu Research of America where he works on outbound initiatives for new innovations including technology incubation and co-creation with customers and partners. Prior to Fujitsu Research, Surya spent 15 years at Sun Microsystems in various engineering and marketing roles.
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12:45-1:15PM ET | 16:45-17:15 UTC | 10:15-10:45PM IST Securing Your Graph With Neo4j GraphQL Allow Daniel to navigate you on a journey through Authentication and Authorization in the land of Neo4j GraphQL. Bind your acquired knowledge of our GraphQL directive to Type Definitions, which enable sophisticated auth patterns wherever they are applied.
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Daniel Starns Software Engineer, Neo4j
Daniel loves to spend his time, mountain biking, drinking beer and building cool stuff! Daniel is passionate about GraphQL and is working on building great things GraphQL at Neo4j.
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1:15-1:45PM ET | 17:15-17:45 UTC | 10:45-11:15PM IST Using Graphs to Support More Equitable Search Should users be able to use the language they are the most comfortable with to find information? The answer is yes and now with graph technology, the possibility to create more equitable search applications is possible. Join me in exploring how you can include more equality in your search practices.
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Ashleigh Faith Director, Knowledge Graph & Semantic Search, EBSCO Information
Ashleigh Faith is the Director of Platform Knowledge Graph and Semantic Search at EBSCO, one of the largest global academic search engines. Her PhD and continued research efforts focus on Advanced Semantics and bridging the gap between users and information. She has worked in the search and data community for over 15 years with corporate business on eCommerce and Digital Asset Management, as well as government entities such as GM, NASA, NATO, Gulfstream, DoD, and NLM on data strategy and knowledge management. Her main focus is knowledge graph, semantic search, and general information architecture.
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2:15-2:30PM ET | 18:15-18:30 UTC | 11:45PM-12:00AM IST Schema Design Demystified: Application-Driven Graph Architecture Serving data to front-end developers who are not Cypher experts while also maintaining many API endpoints can be a hassle. In this lightning talk we'll look at the benefits of using a handful of principles while designing our graph schema. These principles will make querying and writing data back to the graph much easier. We'll also look at how to best format the returned data and other lessons learned during different projects.
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Samuel Chalvet Senior Consultant, Graphable
Samuel Chalvet is a Sr Consultant at Graphable. He has a BA in Computer Science and has experience in software and mobile app development. He delights in problem solving, gnarly logic issues and surmounting challenges. Sam is a native French and English speaker. When he is not slinging code or playing with Cypher, he enjoys reading, playing strategy games, cooking, and discovering other cultures.
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2:30-3:00PM ET | 18:30-19:00 UTC | 12:00AM-12:30AM IST Best Practices For Using Cypher With GraphQL One of the most powerful features of the Neo4j GraphQL integrations is the @cypher schema directive, which allows users to add custom logic defined in Cypher to a GraphQL schema. This talk will demonstrate how to take advantage of this feature when designing your GraphQL API, avoid common pitfalls with using Cypher in GraphQL, and explore methods for supercharging your GraphQL schema using Cypher. These best practices with help you take advantage of Graph Data Science and APOC in your GraphQL API.
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William Lyon Developer Relations Engineer, Neo4j
William Lyon is a Developer Relations Engineer at Neo4j, the open source graph database where he helps developers be successful with graphs. Prior to Neo4j William worked as a software engineer for several startups in areas such as quantitative finance and building mobile apps for the real estate industry. He holds a Masters degree in Computer Science from the University of Montana. You can find him online at lyonwj.com
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3:00-3:30PM ET | 19:00-19:30 UTC | 12:30AM-1:00AM IST Graph Integration in the Cloud Learn all of the ways that graphs can be integrated with the other pieces and components of cloud solutions. If you need to connect graphs into a larger solution, or want to know how Neo4j figures into modern cloud architectures, this is the talk for you.
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David Allen Global Lead Cloud Architect, Neo4j
David is a deeply technical generalist with experience in managing teams and driving towards complex goals. The most fun he has had in his career is when he is learning something new, or trying to figure out how to do something that hasn’t been done before. When not trying to improve something technical, you can usually find David playing guitar or cycling. He loves meeting new people, and has a very keen interest in language and culture and loves to find common ground with other people through travel and music.