Senior Technical Instructor @ Amazon Web Services (AWS) | AWS Certified Architect | 13 x AWS Certified| AWS Gold Jacket
It was a great opportunity to talk about GenAi and how you can leverage it for your own area of work. Enjoyed the sharing and learning. Some key points from the sharing AWS continues to leverage their strengths. 1. Infrastructure: The ability to scale is at the base for anything you want to achieve with GenAi. AWS has always pioneered infrastructure solutions we have provided over the past 19 years. At ReInvent 2023, we launched Amazon Trainium 2 for inference workloads and NVIDIA DGX Cloud. 2. Amazon Bedrock, our managed service with access to Foundation Models from various model providers. We are still the same company that gave you the box of tools upon which you can create solutions that fit your purpose. You can create the GenAi apps that will help solve your specific problems. In line with this, AWS has made a 4 Billion dollar investment in Anthropic. If you are looking for a solution, need to know how to use GenAi, do drop us a line at AWS, and we will be more than happy to start a conversation.
Missed our #AI #ML event in Singapore last week? Here are some of the event insights: • “Prioritize defining your use case or problem before diving headfirst into AI/ML implementations." Yash Thakker, Searce. • AI & ML can address opportunity areas where there are skills gaps such as cybersecurity analysis & automating security operating centers to name a few. • Aligning success metrics and ROI measurement for AI/ML investments requires a collaborative approach between leadership and operational teams. Thank you to all our speakers – David Lau, Yang Liu, Danish Choo, Frank Winkler, Jimmy Silva for your valuable insights. Missed the event? Connect with us to hear more https://lnkd.in/dkZDg3GG With: Sherly Nyolanda, Raffi I., John Yap Yap, Gaurav Desai, Frank Winkler, Meera Joy, Samuel B. Harris, Jackylyn Zulueta, Cheryl Poon, Jimmy Silva, Jesalin Thian