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Justin Ward

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Justin Ward

2

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Senior Mgr of Analytics & Data Science TurnPoint Services

Justin Ward is the Senior Manager of Analytics & Data Science at TurnPoint Services. He specializes in data science, forecasting models, customer behavior analyses, and leveraging big data to drive business intelligence. Previously, he served as Lead Data Scientist & Architect and Data Scientist at TurnPoint, led demand forecasting at Advance Auto Parts, and contributed to data lake and warehouse strategies for a $1.5B private equity firm.

Bio from: Data + AI Summit 2025

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Sponsored by: DataNimbus | Building an AI Platform in 30 Days and Shaping the Future with Databricks

Join us as we dive into how Turnpoint Services, in collaboration with DataNimbus, built an Intelligence Platform on Databricks in just 30 days. We'll explore features like MLflow, LLMs, MLOps, Model Registry, Unity Catalog & Dashboard Alerts that powered AI applications such as Demand Forecasting, Customer 360 & Review Automation. Turnpoint’s transformation enabled data-driven decisions, ops efficiency & a better customer experience. Building a modern data foundation on Databricks optimizes resource allocation & drives engagement. We’ll also introduce innovations in DataNimbus Designer: AI Blocks: modular, prompt-driven smart transformers for text data, built visually & deployed directly within Databricks. These capabilities push the boundaries of what's possible on the Databricks platform. Attendees will gain practical insights, whether you're beginning your AI journey or looking to accelerate it.

Unified Advanced Analytics: Integrating Power BI and Databricks Genie for Real-time Insights

In today’s data-driven landscape, business users expect seamless, interactive analytics without having to switch between different environments. This presentation explores our web application that unifies a Power BI dashboard with Databricks Genie, allowing users to query and visualize insights from the same dataset within a single, cohesive interface. We will compare two integration strategies: one that leverages a traditional webpage enhanced by an Azure bot to incorporate Genie’s capabilities, and another that utilizes Databricks Apps to deliver a smoother, native experience. We use the Genie API to build this solution. Attendees will learn the architecture behind these solutions, key design considerations and challenges encountered during implementation. Join us to see live demos of both approaches, and discover best practices for delivering an all-in-one, interactive analytics experience.