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AI Masterclass

Building & Scaling ML Solutions for Big Box Retail

Tuesday, March 26, 2024
5 PM GMT | 1 PM EDT | 10 AM PDT
Jamie Machin
Jamie Machin
Enterprise Account Executive, V7
Harry Hands
Harry Hands
Solutions Engineer, V7
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AI Masterclass

Building & Scaling ML Solutions for Big Box Retail

Building & Scaling ML Solutions for Big Box Retail
ABOUT

About the Event

Register now to gain insider insights from industry experts, learn about scalable ML solutions, and participate in a live Q&A session to navigate the challenges and successes of AI in big box retail.

Register now to gain insider insights from industry experts, learn about scalable ML solutions, and participate in a live Q&A session to navigate the challenges and successes of AI in big box retail.

Computer vision, from in-store monitoring to AI checkout systems, is setting new standards in retail. Major chains are leveraging AI to lower costs and improve operations. The main hurdle? Making sure you use the right training data. This webinar will guide you through creating scalable ML solutions for retail that lead to clear productivity gains.

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SPEAKERS

Hosted by

Jamie Machin
Jamie Machin
Enterprise Account Executive, V7
Harry Hands
Harry Hands
Solutions Engineer, V7
AGENDA

What to expect

01/

Real-world focus. We skip the hype and show you what actually works and what doesn’t in retail settings to get the best AI results.

02/

Insider knowledge from industry experts. Behind-the-scenes look at developing AI for autonomous checkout, automated stock monitoring, supply-chain automation, and theft detection.

03/

Tools and methodologies. Overview of the tools, frameworks, and best practices for building scalable and accurate AI.

04/

Interactive Q&A. Discuss the real challenges, successful strategies, and experiences with other ML developers and retail professionals.

05/
Speakers

Hosted by

Jamie Machin
Enterprise Account Executive, V7

Harry Hands
Solutions Engineer, V7

our vision

We’re leading the era of AI-first software

We help companies build software driven by deep learning, to make it accurate, reliable, and indistinguishable from magic.

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