AI Deep Dive: Exploring AWS Using Real-World Scenarios
Deepen your AI and machine learning expertise using AWS in an Immersive, hands-on workshop. You’ll use real-world AI challenges while leveraging AWS services like Amazon SageMaker, Bedrock, and Lambda to build and optimize AI-driven solutions. As the session unfolds, new constraints and data anomalies will emerge, mirroring the complexities of real-world AI/ML implementation. Gain insight into how AI solutions perform under evolving conditions, learning to adapt, optimize, and troubleshoot unexpected challenges. Learn the importance of collaboration, strategic thinking, problem-solving, and technical proficiency. You will understand how to bring together professionals from diverse backgrounds—including engineers, data scientists, business analysts, and domain experts—this session reflects how AI solutions are developed and deployed in real-world environments. Engaging with others in a hands-on setting fosters creative approaches to AI challenges and provides valuable networking opportunities. This is your chance to explore cutting-edge AWS AI/ML tools, develop practical problem-solving skills, and gain exposure to real-world AI applications. Whether you're an experienced AI practitioner or new to the field, this session offers a unique opportunity to experiment, learn, and innovate with AWS. Are you ready to dive in?
Scott Peterson brings a wealth of experience in AI development and management, coupled with a profound commitment to ethical standards. With a background spanning 20 years in Technology, Scott Peterson has led groundbreaking projects at the intersection of technology and ethics. As a recognized thought leader, Scott has contributed to various industry standards for ethical AI and is passionate about fostering a tech community where innovation and integrity go hand in hand. Scott is currently Vice President of Applied AI at 1159 (1159.ai)