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Enabling Data Products to Accelerate Business Value

About This Webinar

In the upcoming Modak and Neo4j joint webinar, we will highlight the significance of data orchestration and data products development in driving business outcomes. We will delve into integrating and orchestrating data from diverse sources, standardizing and harmonizing data and building domain-driven data products with a data fabric architecture that reduces the time and cost.

Key Objectives/Topics :
To explain the concepts of a Data Fabric with Modak Nabu
Creating data products with Neo4j
Product demonstrations
Customer success story

Who can view: Everyone
Webinar Price: Free
Featured Presenters
Webinar hosting presenter
Head of Product Management
Mayank Mehra leads the products team at Modak, which builds accelerators that help enterprises automate and streamline data management activities. Before Modak, he worked in product management at leading technology firms that served clients across the US, Europe, APAC in diverse industries - utilities, medical devices, automotive, and consumer electronics.
Webinar hosting presenter
Senior Software Engineer
Leads Data Curation team at Modak. Building Data products for large pharma clients. Close Collaboration with Data SME’s to understand the requirement and responsible for the pipeline development, automate the process. Handles data requirement at all stages of a data product life cycle. Co-ordinates with multiple platform and third party products to integrate in the data life cycle.
Webinar hosting presenter
Principal, Partner Solutions and Technology
Michael Moore is Principal of Partner Solutions and Technology at Neo4j. Michael leads Neo4j's global partner enablement programs and helps Neo4j partners build compelling services and products leveraging Neo4j’s industry-leading graph data management platform. Trained as a scientist, Michael has over 20 years of experience delivering high-value enterprise analytics solutions and portfolios for startups, agencies, and Fortune 100 companies. Michael has been working with Neo4j graph databases and graph analytics since 2013. In his most recent role, Michael established EY's national consulting practice in Enterprise Knowledge Graphs and AI. At EY, Michael architected and delivered full-stack graph applications for EY clients across multiple industries and use cases, including customer 360°, recommendation engines, risk analytics, KYC, fraud detection, anti-money laundering, energy trading, digital twins, capital projects total cost visibility, master data management, data lineage, and enterprise data fabrics. Prior to EY, Michael was at Microsoft where he managed a global portfolio of over 65 applications in the connected sales and marketing space for Microsoft’s B2B and partner ecosystems.

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