Mikhail Chrestkha

Inspired to create this site and start sharing content after reading Rachel Thomas’s blog ‘Why you (yes, you) should blog’

2025/03/04: Driving Profitability with AI [Video]
2025/02/05: Hundreds of organizations are fine-tuning Gemini models. Here’s their favorite use cases. [Blog]

2024/12/03: Unlocking the potential of MLOps & LLMOps (with Weights & Biases) [Video]
2024/09/26: Vision to Value: Generative AI Breakfast Briefing (with Datatonic, Vodafone & Kingfisher) [Session Abstract]
2024/04/11: Operationalizing generative AI on Vertex AI (with Credit Karma & Wayfair) [Video] [Slides]
2024/02/06: What’s new with Generative AI (on Vertex AI) [Video]
2024/01/03: Level Up Your AI Strategy: From Models to Applications and Beyond [Blog]

2023/12/13: Prompt tracking and observability with Vertex AI (with Weights & Biases) [Video]
2023/08/30: Building your MLOps strategy for generative AI [Video] [Slides]
2023/04/19: Optimize for AI innovation (with Palo Alto Networks & AI21 Labs) [Video] [Blog]

2022/10/11: AI Infrastructure: Accelerating ML development with optimized performance and cost (with Uber & Cohere) [Video]
2022/04/02: How airlines forecast demand with FLYR and Google Cloud [Video]

2021/11/09: NVIDIA NGC & Vertex AI on Google Cloud [Session]
2021/01/13: An Accelerated Big Data Workflow for the Data Analyst [Blog] [Code Samples]

2020/10/04: Lightweight yet scalable TensorFlow workflow on Google Cloud [Blog] [Code Samples]
2020/08/24: Cost-Benefit of GPUs for Data and Machine Learning [Blog]
2020/07/16: Accelerate Spark 3.0 with Google Cloud Dataproc and NVIDIA GPUs [Video]
2020/05/25: CatBoost on Google Cloud’s AI Platform w/ CPUs & GPUs [Blog] [Code Samples]

2019/04/10: Data Science at Scale with R on GCP (Cloud Next ‘19) [Video]
2019/04/02: Machine Learning on Streaming Data using Kafka, Beam, and TensorFlow [Video]

2018/12/19: Announcing the beta release of SparkR job types in Cloud Dataproc [Blog]
2018/11/27: Cloud OnAir: CETV: Introducing Cloud TPU Pod [Video]
2018/07/25: Getting Started with Deep Learning Models in R using Google Cloud and RStudio (Cloud Next ‘18) [Video]

2009/07/27: Crew Scheduling for the Freight Railroad Industry [Project Summary] [Article]

Page template forked from evanca