root cause analysis architecture

How Formula 1® uses generative AI to accelerate race-day issue resolution

Formula 1® (F1) races are high-stakes affairs where operational efficiency is paramount. During these live events, F1 IT engineers must triage critical issues across its services, such as network degradation to one of its APIs. This impacts downstream services that consume data from the API, including products such as F1 TV, which offer live and …

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How to use gen AI for better data schema handling, data quality, and data generation

In the realm of data engineering, generative AI models are quietly revolutionizing how we handle, process, and ultimately utilize data. For example, large language models (LLMs) can help with data schema handling, data quality, and even data generation.  Building upon the recently released Gemini in BigQuery Data preparation capabilities, this blog showcases areas where gen …

Neuro-inspired AI framework uses reverse-order learning to enhance code generation

Large language models (LLMs), such as the model behind OpenAI’s popular platform ChatGPT, have been found to successfully tackle a wide range of language processing and text generation tasks. Some of these models have also shown some promise for the generation of programming code, particularly when deployed in sets as part of so-called multi-agent systems.

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Using Amazon Rekognition to improve bicycle safety

Cycling is a fun way to stay fit, enjoy nature, and connect with friends and acquaintances. However, riding is becoming increasingly dangerous, especially in situations where cyclists and cars share the road. According to the NHTSA, in the United States an average of 883 people on bicycles are killed in traffic crashes, with an average …