Computer vision is becoming a key enabler of smart manufacturing, from quality inspection to robotic automation. Yet traditional development of AI models often requires large datasets, specialized expertise, and significant time. In this talk, we explore how no-code computer vision platforms are changing this landscape allowing engineers, operators, and domain experts to build, train, and deploy models without deep AI backgrounds. We’ll look at real examples from manufacturing and robotics to show how faster iteration, simpler data workflows, and scalable deployment can move automation projects from concept to production.

Computer vision is becoming a key enabler of smart manufacturing, from quality inspection to robotic automation. Yet traditional development of AI models often requires large datasets, specialized expertise, and significant time. In this talk, we explore how no-code computer vision platforms are changing this landscape allowing engineers, operators, and domain experts to build, train, and deploy models without deep AI backgrounds. We’ll look at real examples from manufacturing and robotics to show how faster iteration, simpler data workflows, and scalable deployment can move automation projects from concept to production.

Adrian Boguszewski is an AI Software Evangelist at Intel. He graduated from the Gdansk University of Technology in the field of Computer Science 8 years ago. After that, he started his career in computer vision and deep learning. As a team leader of data scientists and Android developers for the previous two years, Adrian was responsible for an application to take a professional photo (for an ID card or passport) without leaving home. He is a co-author of the LandCover.ai dataset, creator of the Debug Image Viewer Plugin, and a Deep Learning lecturer occasionally. His current role is to educate people about OpenVINO Toolkit. In his free time, he’s a traveler.

Discover the power of Google Cloud instances running on the latest Intel Xeon processors. This course will introduce you to Intel’s optimization tools, designed to help you manage and optimize your infrastructure with unmatched efficiency and performance. Learn how to leverage these cutting-edge technologies to enhance your cloud computing capabilities and drive your business forward.​

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The world of data security and privacy is changing. Quantum computing threatens traditional encryption, but you can stay ahead. Learn how to protect your AI and machine learning (ML) models and your sensitive data with cutting-edge techniques and tools like Gemini. This session covers end-to-end privacy, confidential computing with Google Cloud, navigating the post-quantum cryptography (PQC) landscape, the challenges and opportunities of PQC, and how Google Cloud is preparing you for the future.

Unlock powerful cloud solutions through the Intel and Google Cloud partnership. Discover the latest Xeon-based instances and services, alongside Intel's optimization tools, designed to empower you to manage and optimize your infrastructure with unmatched efficiency and performance. By attending this session, your contact information may be shared with the sponsor for relevant follow up for this event only.

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The latest Google Compute Engine instance families have built-in AI hardware accelerators delivering GPU-level performance for computer vision, natural language processing, speech recognition, recommendation engines, and generative AI models all powered by the latest Intel 4th and 5th gen Xeon CPUs. We will demo a real-time chatbot and CodeGen generative AI application, share performance results across various AI workloads, and highlight our partnerships with the AI software ecosystem and Google Cloud end users.

By attending this session, your contact information may be shared with the sponsor for relevant follow up for this event only.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

The future of cloud computing is shifting to private, encrypted services where people can be confident that their workloads stay verifiably isolated and protected. Explore the latest advances in confidential computing and confidential accelerators, and how they can be used to not only preserve your data confidentiality, but to free it for secure collaboration across teams, companies, and borders. You’ll see demos focusing on providing holistic data confidentiality and AI/ML model protection. Welcome to the future of secure data freedom!

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.