DATE: July 19, 2023, This event has passed. The recording will be made available On Demand within the next two US business days.
TIME: 8:00 AM – 12:45 PM Pacific / 11:00 AM – 3:45 PM Eastern
PRICE: Free to all attendees
Welcome to DATAVERSITY Demo Day, an online exhibit hall. We’ve had many requests from our data-driven community for a vendor-driven online event that gives you an opportunity to learn more about the available tools and services directly from the vendors that could contribute to your Data Management program’s success.
Register to attend one or all of the sessions, or in order to receive the follow-up email with links to the slides and recordings.
Session 1: Conversations with Your Data
Knowledge Guru is a revolutionary new feature that facilitates a conversational interaction (similar to ChatGPT) between individuals and data in their organization. The first part of this session will cover Knowledge Guru’s capabilities, and how it utilizes LLM technology. Then we’ll peel back a couple of layers and discuss how Anzo’s features enable this experience through integration of various data sources into a single interconnected fabric and how AnzoGraph tenables complicated analytic queries that span data points from those sources.
Session 2: From RDBMS to NoSQL at Enterprise Scale
NoSQL isn’t just a database. It’s a new way of thinking about data. Traditional RDBMS has been baked into software development for decades. Moving development organizations from RDBMS to NoSQL means overcoming technology momentum and the natural bias to use solutions that are already well understood. Prior to joining MongoDB, Rick Houlihan led the NoSQL Blackbelt team for Amazon during their migration from RDBMS to NoSQL.
This session is designed to introduce developers, technologists, and technical decision-makers to the NoSQL mindset and explore the design patterns and best practices developed by Rick and his team during that process. Join him for this insightful session that breaks down NoSQL data modeling for real-world workloads and dives deep into the core value of MongoDB for both SDEs and product stakeholders.
Session 3: The Great Escape: Liberating 20+ Years of Legacy Data into Knowledge Graphs and Semantics with AI
Most large enterprises struggle to adopt knowledge graphs and semantic models given years of investments in legacy mainframe, relational database and data warehousing technologies. Because legacy data has been created and retained in source application schemas with zero semantic structure, the cost and complexity to convert to a universal-semantic data model is prohibitive, often hindering knowledge graph projects. How do you untrap 20+ years and petabytes of data and activate it to leverage the benefits of semantics and Knowledge Graphs?
Join us in this working session where we will walk through (1) advances in data formats, such as JSON Linked Data (JSON-LD), that make conversion of flat, relational data into serialized RDF viable at scale; and (2) advances in machine learning and AI in data classification to automate the linking of semantics to flat, structured data. By the end of this session, we will have walked through a scenario using Fluree Sense to integrate legacy data from multiple traditional data stores onto a Knowledge Graph.
Session 4: 5 Requirements Driving Modern Applications
Changes in consumer behavior are driving the need for applications to be highly personalized and localized across industries and verticals. Use of a high-performance, feature-rich NoSQL database can support personalization based on behavior, geographical location, and the specific mobile and IoT devices that users are on and around. However, enterprises are still concerned with performance, flexibility, mobile and edge capabilities, as well as rising cloud costs. In this presentation, Jeff Morris will discuss some of the problems facing enterprises to build modern applications and suggest how they can be solved.