AWS Re-Invent “Re-Cap” from Oct’2023.

Saptadeep Banerjee

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Jan 21, 2024

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Generative AI:

• Amazon Q: As per my POV the new generative AI assistant specifically designed for work tasks. It can answer questions about your data, generate reports and summaries, and even write different creative text formats, like poems, code, scripts, musical pieces, email, letters, etc.

• Amazon SageMaker Canvas: While visual drag-and-drop interface for building and deploying machine learning models which is one of my favourite, making AI more accessible to users without extensive coding experience.

Key Points:

1. Amazon Q: Your AI coworker. Generates code, answers questions, writes creatively. No code required, like ChatGPT for work.

2. SageMaker: ML playground. Build, train, deploy models fast with easy tools & managed infrastructure. Like GitHub for machine learning.

3. Q and SageMaker play nice: Q writes code, SageMaker runs it. Together, automate ML pipelines and boost developer productivity.

Cloud Infrastructure:

• Triennium chips: AWS-designed Arm-based processors optimised for machine learning workloads, offering better performance and lower cost compared to traditional CPUs.
• Zonal Auto-shift: A new feature in Amazon Route 53 Application Recovery Controller that automatically shifts traffic away from Availability Zones experiencing potential issues, improving application resilience.
• Amazon CloudWatch Anomaly Detection: Uses machine learning to automatically identify anomalies and unusual patterns in logs and metrics, helping to proactively troubleshoot issues.

Data & Analytics:

• Amazon Redshift Server-less with AI-driven scaling and optimisations: Enables automatic scaling of data warehouse resources based on workload, reducing costs and improving performance.
• Amazon Aurora PostgreSQL zero-ETL integration with Amazon Redshift: Streamlines data movement between these two popular database services, simplifying analytics tasks.
• Amazon QuickSigh: Ask questions about your data in natural language and get answers generated from your dashboards and reports, democratising data analysis.

Other worthy announcements:

• Amazon Bracket Quantum Service: Now generally available, allowing developers to build and run quantum computing applications on AWS.
• Amazon CodeGuru Reviewer: A static code analysis tool that uses machine learning to identify potential bugs and security vulnerabilities in code.
• Amazon Palm Recognition Service: Enables contactless access control using palm scans, offering a more secure and convenient alternative to traditional methods.