Title

DNP-VYT - AWS re:Invent 2023 - (DAT206)

Summary

Lindley Hensarling discusses the challenges and costs associated with applying AI and ML in the real world, emphasizing the need for efficient computing and data management.
AI's potential to solve problems, including energy consumption, is highlighted, but the environmental impact of computing and data storage is also acknowledged.
The importance of real-time data application and context is stressed, with examples from companies like Quantcast and a Japanese e-commerce fashion provider.
Aerospike's role as a feature store and its integration into data pipelines for real-time decision-making is discussed.
Amit Shah from AWS talks about the partnership with Aerospike, focusing on performance, cost optimization, and global scalability.
AWS's offerings, including the Nitro system and Graviton processors, are detailed, showcasing their benefits in terms of performance and cost.
Shai Peretz from Riskified shares insights into their fraud prevention platform, the importance of real-time data processing, and how Aerospike has been integrated into their architecture.

The increasing energy consumption by computing is a significant concern, with AI training being particularly resource-intensive. This highlights the need for sustainable computing practices and efficient data management.
Real-time data processing is crucial for businesses to make immediate and contextually relevant decisions. Companies like Quantcast and a Japanese e-commerce provider rely on Aerospike for millisecond response times to stay competitive.
Aerospike's use as a feature store and its integration with AWS services demonstrate the importance of scalable, high-performance databases in supporting AI and ML workloads.
AWS's Nitro system and Graviton processors offer performance and cost benefits, which are critical for applications like Aerospike that require high throughput and low latency.
Riskified's use of Aerospike for real-time fraud detection underscores the need for reliable and fast data processing in the financial sector. Their architecture showcases how modern databases can support complex, data-intensive applications.