The AWS re:Invent 2023 Sessions We Will be Attending

This is going to be one of the most exciting times to be at AWS re:Invent. Machine Learning and Generative AI have quickly become a high priority for many organizations, and there will be a lot to digest and learn in this content-packed conference. 

At Granica, we are huge advocates for improving model accuracy by helping ML teams get their hands on more, and better, training data, whether by intelligently compressing existing data to unlock funds to acquire more, or by safely de-identifying siloed sensitive data to unlock it for training. Side note - we will be showing off our product capabilities on the show floor, you can find us at Booth # 1262 in the Security Zone, and learn more here (as well as book a meeting with our Applied AI team). 

Being such big fans of optimizing efficiency and thus effectiveness for machine learning workloads, our team has curated the best sessions to attend. We think these are going to be great sessions for AI/ML teams (and their leaders) as well, so if that's you, we highly recommend adding them to your agenda. Head to your Re:Invent portal where you can search for each of the sessions by code (e.g. “CMP325”).

CMP325 - Fine-tune Hugging Face LLMs using Amazon SageMaker and AWS Trainium

Nov. 27 | 7:30 AM - 8:30 AM (PST)

Speakers: Jianying Lang, Matthew McClean, KC Tung, Scott Perry, Max Liu

Gain hands-on experience fine-tuning and deploying large language models for optimal cost and performance. Learn how to leverage SageMaker tooling to improve model accuracy while reducing overhead. Master techniques to efficiently deploy LLMs into production.

ARC204-R | Sustainability: Measure, optimize, and improve costs [REPEAT]

Nov. 27 | 10:00 AM - 12:00 PM (PST)

Nov. 27 | 4:00 PM - 6:00 PM (PST)

Speakers: Jang Whan Han, Miranda Li

Discover AWS services like Graviton that balance sustainability and cost optimization. Learn approaches for constructing sustainability KPIs and architectures using tools like Lambda. Reinforce environmentally responsible use of cloud resources while driving efficiency.

DAT312-R | Cost optimization for Amazon DynamoDB [REPEAT]

Nov. 27 | 9:00 AM - 10:00 AM (PST)

Nov. 27 | 4:30 PM - 5:30 PM (PST)

Speakers: Udi Hershkovich, Jason Hunter

Understand DynamoDB pricing models and how to optimize usage and expenditures. Learn how to accurately estimate and monitor DynamoDB costs across projects. Master tools to improve DynamoDB efficiency without sacrificing performance or availability.

AIM351 | Optimize foundation model deployment on Amazon SageMaker

Nov. 27 | 10:00 AM - 12:00 PM (PST)

Speakers: Vikram Elango, James Park

Explore optimizing large model performance, cost, and scalability on SageMaker. Learn how to select the right instance types, utilize auto-scaling, and configure tools like JumpStart. Reduce inference latency and total cost of ownership for machine learning deployments.

COP312 | Track and visualize cost-effectiveness of your workloads & KPI targets

Nov. 28 | 10:30 AM - 12:30 PM (PST)

Speakers: Judith Lehner, Yuriy Prykhodko

Harness Intelligence Dashboards to monitor workload efficiency across multiple dimensions. Learn approaches for tracking, visualizing, and optimizing utilization of compute, storage, and other AWS resources. Continuously measure and improve the cost-effectiveness of systems at scale.

SUS305 | Optimizing generative AI workloads for sustainability

Nov. 29 | 9:00 AM - 10:00 AM (PST)

Speakers: Isha Dua, Wafae Bakkali

Understand the environmental impacts of large AI models and how MLOps drives sustainable optimization. Learn prompts, fine-tuning, and other techniques to balance model efficiency and sustainability. Build ML applications responsibly by minimizing computational overhead.

ARC202-R | Putting cost optimization into practice [REPEAT]

Nov. 29 | 8:00 AM - 10:00 AM (PST)

Nov. 30 | 1:30 PM - 3:30 PM (PST)

Speakers: Jun-Tin Yeh, Rovan Omar

Gain hands-on experience analyzing and controlling AWS expenditures using tools like Athena and QuickSight. Learn how to construct efficiency dashboards and integrate cost data sources. Master latest techniques for monitoring, analyzing, and optimizing cloud costs.

AIM324 | Supercharge agent productivity with Amazon Transcribe & generative AI

Nov. 27 | 2:00 PM - 3:00 PM (PST)

Speakers: Babu Srinivasan, Gopikrishnan Anilkumar

Apply AI to boost contact center efficiency and customer satisfaction. Learn how transcription and conversational models like Lex V2 enhance agent productivity. Enable automated, natural interactions and unlock more time for high-value service.

CMP327 - Optimize data and analytics workloads on Amazon EKS

Nov. 29 | 3:30 PM - 4:30 PM (PST)

Speakers: Vara Bonthu, Kinnar Sen

Explore getting maximum performance from data workloads on EKS using Graviton and Spot Instances. Learn real-world use cases and best practices for optimizing Kubernetes-based big data pipelines. Reduce costs for analytics applications via container optimization.

SUS202 - Accelerate data-driven circular economy initiatives with AWS

Nov. 29 | 10:30 AM - 11:30 AM (PST)

Speakers: Abhishek Sharma, Jenna Leiner, Kyu Sam Oh (SK ecoplant)

Discover how analytics and ML can empower sustainability programs and circular resource usage. Learn approaches for extracting value from waste materials and extending product lifetime. Innovate quickly by applying AWS sustainability offerings.

SEC216 - AWS European Sovereign Cloud: A closer look

Nov. 30 | 1:00 PM - 2:00 PM (PST)

Speakers: Addy Upreti, Luis Wang

Learn how the AWS Digital Sovereignty Pledge gives you control over your data privacy. Understand how you can meet data residency and compliance requirements. Get Strategies for maintaining data security without compromising innovation.

SEC326 - Securely modernize payment applications with AWS

Nov. 30 | 1:00 PM - 2:00 PM (PST)

Speakers: Mark Cline, Zach Miller

Explore approaches for modernizing payments securely on AWS. Learn how to protect PII data and meet industry compliance standards. Master security best practices for fintech and payment workloads.

HLC301 - Generative AI and foundation models in healthcare [REPEAT]

Nov. 28 | 1:30 PM - 2:30 PM (PST)

Speakers: Matthew Howard

Understand the privacy implications of using generative AI for health data. Learn techniques to maintain patient privacy while unlocking the potential of AI. Get guidance on deploying models responsibly and securing sensitive information.

Got other suggestions? Share your comments/questions below: