Category: Data

  • Charger hopping

    Charger hopping

    While it’s nice to make good time, when in remote areas, sometimes any route will do. For EV road trip planning in trippler, I first found the direct route, then chose chargers along the route. This approach can fail when there aren’t enough chargers close to the route, as in remote areas. Charger hopping is…

  • AI conversations for every role

    AI conversations for every role

    We always envisaged Effective Machine Learning Teams (EMLT) speaking to multiple roles. Recently we’ve spoken to 4 distinct audiences about ML development, and you can listen in too. Whether you identify with: there’s a podcast* for you with popular presenters – see more below. Product We joined a Product Tank Melbourne event, along with Ana…

  • Tech Lead Journal

    Tech Lead Journal

    The lastest in our series of podcasts on Effective Machine Learning Teams is now live on the excellent Tech Lead Journal by Henry Suryawirawan. Check out the episode titled Building Effective and Thriving ML Teams. It’s been fantastic to talk with many great names in technology recently about EMLT, and I think the variety of…

  • Stop thinking

    Stop thinking

    EV road trips have a different cadence. You might need to charge an EV up to twice as frequently as you’d refuel an ICE vehicle (depending on the pair compared). However, given people need to stop too, this doesn’t necessarily mean trips take longer, and the different pattern of stops may even make the trip…

  • Joe Reis show

    Joe Reis show

    I had a great chat with Joe Reis on The Joe Reis Show, along with one co-author of Effective Machine Learning Teams, David Tan. We covered the motivation for the book, scenarios where we’d helped teams address issues to become more effective, and the tools we’d developed from those solutions. We also talked about a…

  • An evergreen question: what is an MVP?

    An evergreen question: what is an MVP?

    I was asked this the other day. My answer was: it depends on the context; it helps to have an example. And the contextual element is probably why this remains an evergreen question. While I have a fresh example in mind I thought I’d quickly plant a stake in the ground for reference. First, it…

  • Effective topologies for Data and ML teams

    Effective topologies for Data and ML teams

    I presented this talk at the Melbourne Data Engineering meetup, on a wild and wet Friday night. Having your cake and eating it too – Effective topologies for Data and ML teams (slides) In the talk I explore how Team Topologies provides patterns for reconciling fast flow of value with (multiple) specialisations in data and…

  • A resilient charging planner

    A resilient charging planner

    Check out the prototype of trippler, an interactive charging planner for resilient EV road trips. Based on my own EV road trip experience, trippler is as much about easily understanding charging options and contingencies, to reduce charger anxiety, as it is about coming up with a single best plan. Features Simply enter the start and…

  • Data complications

    Data complications

    Solving EV charger anxiety used maths for better road trips, but skipped over using real data. Let’s fix that, or at least try to… The easy bits To get from A to B in an EV, I used Open Route Service to find a base route to a destination and and Open Charge Map to…

  • Solving EV charger anxiety

    Solving EV charger anxiety

    Many EV adventures are accessible using the charging network in Victoria, but faulty chargers still have the potential to induce charger anxiety on road trips. Planning apps–EV drivers’ constant companions–may not fully solve this when the reported status of chargers is unreliable and faults are prevalent. As a driver, I want resilient plans that already…