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Tuesday, November 12
 

11:00am PST

[Virtual Exclusive] PRO WORKSHOP (API): Learn to Maximize AI performance through Open-Source Computer Vision based Retail Solution
Tuesday November 12, 2024 11:00am - 11:50am PST
Neethu Elizabeth Simon, Intel, Senior Software Engineer
Antonio Martinez, Intel, Software Engineer
Brian McGinn, Intel, Software Solution Developer
 


Computer vision is revolutionizing various industries, and retail is no exception. While AI applications have many benefits, proof-of-concepts do not scale successfully into larger, implemented deployments. Retailers, independent software vendors (ISVs), and system integrators (SIs) require a good understanding of both hardware and software, maintaining AI models in production and having in-depth knowledge of costs involved in setting up and scaling these systems. Vision workloads are significantly larger, complex, undergo multiple stages of processing and therefore require systems to be architected, built, and deployed with several considerations. To make it easier for software developers to understand the optimizations and hardware capabilities, Automated Self-Checkout is developed- an open-source initiative for vision-enabled retail use cases, providing optimized code blocks, documentation, and performance benchmark data to enhance and accelerate developer’s product and project work.

This Open-Source project is a community developed project that provides the tools needed to launch and benchmark a computer vision-based workload on your local device.

In this hands-on workshop we will demonstrate how to utilize the automated-self-checkout solution to run Docker containers with open-source Intel OpenVINO toolkit and benchmark their performance on different hardware platforms. Through this interactive workshop, attendees will be able to setup and run the AI computer vision-based retail pipelines using this solution. Attendees will also gain knowledge on how to benchmark the workloads using this tool for obtaining maximum hardware performance.
Speakers
avatar for Antonio Martinez

Antonio Martinez

Software Engineer, Intel
Antonio is a software engineer with a strong focus on AI applications. He has more than 10 years of experience in software development.He currently holds the esteemed position of technical lead at Intel, where he is responsible for guiding projects and leading teams to develop cutting-edge... Read More →
avatar for Brian McGinn

Brian McGinn

Software Solution Developer, Intel
Brian McGinn is a software architect and technical lead at Intel for the Health, Education, and Consumer Technologies group. He has developed software with Intel for the past 13 years and most recently working with open source computer vision and AI solutions in the retail space... Read More →
avatar for Neethu Elizabeth Simon

Neethu Elizabeth Simon

Senior Software Engineer, Intel Corporation
Neethu Elizabeth Simon is an IOT/ML Senior Software Engineer in Network & Edge Group at Intel Corporation, with vast industrial experience in building smart end-to-end computer vision-based AI/ML solutions in retail, biopharma, healthcare etc. Neethu holds Master’s in Computer Science... Read More →
Tuesday November 12, 2024 11:00am - 11:50am PST
VIRTUAL API World -- Workshop Stage B

12:00pm PST

[Virtual Exclusive] PRO SESSION (CloudX):Beyond Bash: Nushell Opens Up Shell Scripting Paths for Kubernetes
Tuesday November 12, 2024 12:00pm - 12:25pm PST
Ryota Sawada, Civo, Principal Engineer

The CNCF ecosystem has exploded with a diverse array of tools, each solving a unique problem. However, integrating multiple projects often leads to challenges requiring manual intervention and custom solutions, with shell scripting commonly used as a temporary stopgap. This approach, predominantly utilising Bash, frequently results in maintenance headaches such as poor code readability and debugging difficulties.

Nushell presents a modern take on shell scripting, offering a more intuitive syntax by dropping POSIX-compliance. It includes YAML friendly data model as a fundamental design, built-in commands equivalent to curl and jq, supports simple and clear module structures, and eliminates the confusion of single vs. double quotes.

We will have a quick look at Bash vs. Nushell difference, some example case of how Nushell data model makes it easier to deal with YAML configs, and extra automation and CI/CD ideas using its module and test capabilities.
Speakers
avatar for Ryota Sawada

Ryota Sawada

Principal Engineer, Civo
Ryota is a Principal Engineer at Civo, overseeing the company's Kubernetes offerings. With over a decade of experience in the finance industry, he has a proven track record of designing payment processing systems from scratch, building platforms that embrace Kubernetes, Argo, Istio... Read More →
Tuesday November 12, 2024 12:00pm - 12:25pm PST
VIRTUAL API World -- Workshop Stage A

2:00pm PST

[Virtual] PRO WORKSHOP (CloudX): Building Guardrails for Generative AI: Security, Compliance, and Responsible Innovation
Tuesday November 12, 2024 2:00pm - 2:50pm PST
Ken Huang, DistributedApps, CEO and Chief AI Officer

This presentation introduces a comprehensive framework for testing and validating the security of generative AI applications, particularly those built on large language models (LLMs). Developed by Ken Huang (the Speaker) and World Digital Technology Academy's AI Safety, Trust, and Responsibility (STR) working group, the framework addresses the new attack surfaces and risks introduced by generative AI.

The standard covers the entire AI application stack, including base model selection, embedding and vector databases, prompt execution/inference, agentic behaviors, fine-tuning, response handling, and runtime security. For each layer, it outlines specific testing methods and expected outcomes to ensure AI applications behave securely and as designed throughout their lifecycle.

Key areas of focus include model compliance, data usage checks, API security, prompt injection testing, output validation, and privacy protection. The framework also addresses emerging challenges like agentic behaviors, where AI agents autonomously perform tasks based on predefined objectives.
Speakers
avatar for Ken Huang

Ken Huang

CEO and Chief AI Officer, DistributedApps
Ken Huang is a prolific author and renowned expert in AI and Web3, with numerous published books spanning AI and Web3 business and technical guides and cutting-edge research. As Co-Chair of the AI Safety Working Groups at the Cloud Security Alliance, and Co-Chair of AI STR Working... Read More →
Tuesday November 12, 2024 2:00pm - 2:50pm PST
VIRTUAL CloudX -- Main Stage
 

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