As creators and users of artificial intelligence (AI), we have a duty to guide its development and application to increase accountability, fairness and public trust. AI systems require context and connections to have more responsible outcomes and make decisions similar to the way humans do.

In this webinar, Amy Hodler, Analytics & AI Program Manager at Neo4j, will take us through 10 Tips for Responsible AI and how artificial intelligence (AI) can be more situationally appropriate and “learn” in a way that leverages adjacency to understand and refine outputs, using peripheral information and connections. Amy will discuss how graphs add essential context to guide more responsible AI that is more robust, reliable and trustworthy.

Amy Hodler
Analytics & AI Program Manager

Amy manages the Neo4j graph analytics programs and marketing. She loves seeing how our ecosystem uses graph analytics to reveal structures within real-world networks and infer dynamic behavior.

In her career, Amy has consistently helped teams break into new markets at startups and large companies including EDS, Microsoft and Hewlett-Packard (HP). She most recently comes from Cray Inc., where she was the analytics and artificial intelligence market manager.

Amy has a love for science and art with an extreme fascination for complexity science and graph theory. When the weather is good, you’re likely to find her cycling the passes in beautiful Eastern Washington.

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Nav Mathur is Senior Director Global Solutions at Neo4j. He leads Neo4j’s Solutions Organization, setting the strategy and building reusable frameworks, demos and project accelerators to help clients accelerate project realization and understand the business value of graphs. These efforts set the groundwork for innovative change within organizations’ technology practices. He also works with Neo4j's top clients to ensure successful project ideation, architecture and leverage of solution frameworks.

With over 20 years of experience in business development, strategy, consulting and IT solutions, Nav brings a unique ability to seamlessly straddle both business and technology domains in the context of client needs.

From his experience with Wipro, heading sales for the enterprise-architecture practice across North America and a similar role with TCS, to his extensive work with Cambridge Technology Partners and Novell leading the North America Architecture Practice, he has perfected his craft of understanding business value, optimal technology architecture and enterprise transformation challenges.

Nav holds a Masters degree in Software Engineering from Boston University and a Bachelor’s degree in Computer Engineering from Bangalore University in India. He has also completed an executive management course from Babson College. Nav lives in the San Francisco Bay Area and is a hobbyist chef and wine aficionado.

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