Speaker: Ross Cruickshank

Developer Advocate @IBM

Ross Cruickshank is a Developer Advocate in the London City team, helping developers (startups through enterprise) across the UK benefit from IBM Cloud platform and services. He has a broad background in development (hardware and software), operations (network and data centre) and security, and is an experienced services consultant. Industry experience in engineering, banking, (re)insurance, utilities, and transport. He is keen and active in recruiting into and maintaining the IBM and open source ecosystem. Living in rural England, and experienced the variability of mobile carrier coverage, he has developed in interest in LPWAN technologies, and hosts both SIGFOX and LoRaWAN public access gateways. Hackathon opportunities are greatly appreciated, particularly weekends. Today, he will be mostly building prototypes and event-oriented systems with Node-RED, IOT and the Watson cognitive and data platform.

Proposed Tracks

  • Real-World Data Engineering

    Showcasing DataEng tech and highlighting the strengths of each in real-world applications.

  • Deep Learning Applications & Practices

    Deep learning lessons using Tensorflow, Keras, PyTorch, Caffe across machine translation, computer vision.

  • AI Meets the Physical World

    The track where AI touches the physical world, think drones, ROS, NVidea, TPU and more.

  • Data Architectures You've Always Wondered About

    How did they do that? Real-time predictive pipelines at places like Uber, Self-Driving Cars at Google, Robotic Warehouses from Ocado in the UK, are all possible examples.

  • Applied ML for Software

    Practical machine learning inside the data centers and on software engineering teams.

  • Time Series Patterns & Practices

    Stocks, ad tech/real-time bidding, and anomaly detection. Patterns and practices for more effective Time Series work.