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.

Tracks

  • Groking Timeseries & Sequential Data

    Techniques, practices, and approaches, including image recognition, NLP, predictions, & modeling.

  • Deep Learning in Practice

    Deep learning lessons using Tensorflow, Keras, PyTorch, Caffe including use cases on machine translation, computer vision, & image recogition.

  • AI Meets the Physical World

    Where AI touches the physical world, think drones, ROS, NVidia, TPU and more.

  • Papers to Production: CS in the Real World

    Groundbreaking papers make real world impact.

  • Solving Software Engineering Problems with Machine Learning

    Anomaly detection, ML in IDE's, bayesian optimization for config. Machine Learning techniques for more effective software engineering.

  • Predictive Architectures in the Real World

    Case Study focused look at end to end predictive pipelines from places like Salesforce, Uber, Linkedin, & Netflix.