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This course introduces the concept of federated learning, a technique that enables the training of AI models on distributed data without compromising data privacy. The course covers the basics of federated learning, its applications, and the benefits it offers. It also explores the challenges associated with implementing federated learning and how Intel's OpenFL tool can help address these challenges. The course includes real-world examples of federated learning in action, such as its... Read more

This course is designed to explain Intel® QuickAssist Technology (Intel® QAT) and the benefits of using it. We also discuss the role of Intel® QAT in cryptographic and compression acceleration with an introduction to the Intel QAT API and where to go to find more detail on how to integrate the API. (Duration: 24 minutes)

The purpose of this course is to discuss the continued potential for network transformation offered by 5G and Telco Cloud and how leveraging the Intel advantage is a force multiplier which helps to enable a flexible, scalable, cloud native network from the Network Edge to the Cloud. (Duration: 17 minutes)

Supermicro’s SYS-212GB-NR is part of its PCIe GPU server portfolio. It is a rackmount server with a single socket CPU making it an ideal, cost-effective solution to be deployed in an Edge Data Center. Configured with an Intel® Xeon® 6700-series processor with P-cores, this system is capable of delivering the processing capacity required for HPC and Edge AI inferencing applications across many different market verticals, such as retail, scientific research, and financial services.

This course provides a comprehensive introduction to Agentic AI, covering its fundamental principles and high-level operations. You will explore the evolution of artificial intelligence leading to the emergence of Agentic AI and learn to distinguish it from Generative AI. The course highlights industry-specific applications, including a case study on Intel’s semiconductor design, and offers insights into the future trajectory and potential impact of Agentic AI across... Read more

This course explores the emerging domain of Agentic AI and its intersection with Intel® Xeon® processor technologies. The course traces the evolution of AI from traditional machine learning to Agentic AI. The course describes how Agentic systems differ in purpose, architecture, and business impact from GenAI. The course also examines practical industry applications across financial services, healthcare, and manufacturing. Finally, we will discuss how Intel Xeon processors provide... Read more

Designed for scale, the CogNext Platform digitizes analytical workflows to help financial institutions move faster and think smarter. Solving problems at scale requires intelligence from algorithms (Al-ML), the ability to connect data pipelines seamlessly in the evolving technology stack (Engineering) and deep understanding of human behavior and how humans make decisions (Design).

Trust Stamp tackles global challenges in identity, including data protection, financial accessibility and fraud prevention with Alpoweredidentity solutions.

CogNext is a next-generation AI platform that allows banks and financial institutions to automate and digitize analytical processes at an enterprise scale. Solving problems at scale requires intelligence from algorithms (Al-ML), the ability to connect data pipelines seamlessly in the evolving technology stack (Engineering) and deep understanding of human behavior and how humans make decisions (Design).

This course explores the landscape of opportunities, challenges, and considerations as companies move into edge to cloud computing. It discusses market trends, the explosion of data generated by IoT devices, and the need for reliable connections with low network latency. The course also covers the challenges faced by enterprise customers, including managing a large number of devices, data security, and thermal and power requirements. Additionally, it highlights key considerations for... Read more