Join us for an exclusive Neo4j GraphTalk event in Boston. Explore how graph intelligence is reshaping industries and see firsthand the innovative applications that are driving transformation in operations and decision-making across businesses. Additionally, you’ll gain valuable insights on preparing your data ready for AI. This is an event you won’t want to miss!
Uncover hidden patterns in data quickly with pattern matching and graph algorithms without requiring JOINs. Graph intelligence accelerates developer time to value with a flexible schema, and the use of common languages and frameworks simplifies exploration of connected data through native graph visualization tools.
What to expect:
- Graph technology fundamentals: Learn about graph technology and Neo4j's crucial role in modern data architecture and how it's reshaping enterprise data strategies.
- Success stories: Gain valuable insights from case studies using Neo4j, showcasing diverse use cases and their tangible impacts.
- Agentic AI: Discover Neo4j's cutting-edge work in agentic AI and how it can benefit your enterprise operations and decision-making processes.
- Visualization tools: Experience how Neo4j's visualization capabilities can add significant business value to your projects.
Whether you're a data scientist, engineer, or business leader, this event offers valuable insights to fuel your organization's digital transformation.
Transform your data strategy. Empower your decision-making. Join us at Neo4j GraphTalk Boston.
Dr. Jim Webber, Chief Scientist, Neo4j
Join us as Neo4j’s Jim Webber explains how graph reveals the natural connections in your business data and provides the context AI needs to deliver real results. See how leading organizations turn enterprise knowledge into competitive advantage, powering intelligent decisions and driving business transformation.
Jonathan W. Lowe, Founder, Amalgo LLC
An industry standard for timely investigation closure is 30 days. We present a human-in-the-loop approach to reducing investigation times with AI and Context Graph data. (If you use tools like Veeva or TrackWise, your organization is already capturing the needed context.) Intuitively, lean manufacturing leaders know that shorter investigation timelines should benefit the bottom line, but where and how much? We quantify the financial value of shorter investigations and use knowledge graph simulations to avoid the bullwhip effect.
