Blog Posts

How to use Weather Company Data and Netatmo with Ruby

While weather insights are critical to many businesses, local weather data on a more personal and practical level can be important as well. Since I recently moved to an area with some pretty extreme weather, I find myself monitoring and measuring the local conditions much more than I used to. And with wind gusts that regularly exceed 50mph in the winter, this isn’t just an academic interest. Safety (both personal and property) is a significant concern. In addition to the

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Build a cross-platform mobile app using React Native

As part of my developer advocacy efforts at IBM, I often build and share demos to showcase our products and how developers can integrate them into their own applications. The IBM Developer site provides a wealth of resources for developers with a focus on code, content, and community. And code patterns are our way of providing full solutions to common problems that developers regularly face in their work. These code patterns “leverage multiple technologies to solve issues that our developer

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RubyMotion versus Swift for iOS Development

As I worked on the IBM Watson and Apple Core ML partnership, I was inspired to explore more ways to showcase machine learning for developers in different ways. One of my ideas was to look into using RubyMotion with IBM Watson. If you’re not familiar, RubyMotion lets developers quickly write cross-platform native apps for iOS, Android, and OS X using the Ruby programming language. The applications are statically compiled and then call into the native platform APIs. As a Rubyist,

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Video: Machine Learning on iOS, Integrating IBM Watson with Core ML at AltConf

Earlier this year I attended AltConf in San Jose, a community-driven and supported event held alongside Apple’s WWDC. IBM sponsored the event and offered numerous workshops to attendees. In addition to assisting with the workshops and manning the booth, I had a talk accepted on Machine Learning on iOS: Integrating IBM Watson with Core ML. Here’s the recording of the talk I gave with Devin Conley, IBM’s lead engineer on the project: The first half of the session I presented

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Altconf 2018 – Machine Learning on iOS: Integrating IBM Watson with Core ML

This Wednesday I’ll be speaking at AltConf on Machine Learning on iOS: Integrating IBM Watson with Core ML. Here’s the abstract I submitted: Apple recently announced a partnership with IBM to integrate Core ML with Watson, allowing visual recognition to run locally on iOS devices. The ability to use machine learning while offline opens up a wide range of applications and use cases. Geared toward beginners (both in Swift and machine learning), this session will focus on providing an overview

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Getting Started with Artificial Intelligence: A Practical Guide to Building Applications in the Enterprise

For the past several months I’ve been co-writing a book that was recently published by O’Reilly. Called Getting Started with Artificial Intelligence: A Practical Guide to Building Enterprise Applications, the book is currently offered by IBM as a free download. Written with Josh Zheng to introduce developers and technical managers to using artificial intelligence when building enterprise applications, the Getting Started with Artificial Intelligence book focuses on the practical aspects of implementing AI in the enterprise. From a discussion of

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How to Create an API for Your Application, Part 1

Despite being the lingua franca of the internet, APIs remain wildly inconsistent in both their structure and documentation for developers. While the promise of APIs has largely been fulfilled, their actual usage for developers day-to-day often remains frustrating. Since an API in and of itself is just the mechanism for a service to offer access (both internally and externally), there are no specific rules around its implementation. In order to provide some much-needed consistency, multiple options for API guidelines have

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Nvidia on AI everywhere

Analogous to Marc Andreessen’s “software is eating the world”, Nvidia’s CEO Jensen Huang on the impact of AI: “AI is eating software,” Huang continued. “The way to think about it is that AI is just the modern way of doing software. In the future, we’re not going to see software that is not going to continue to learn over time, and be able to perceive and reason, and plan actions and that continues to improve as we use it. These machine-learning

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Apple Watch as Battery Enhancer

A possible hidden feature of the Apple Watch: Depending on how well Apple manages the Bluetooth link with the iPhone, the Apple Watch could then effectively function as a wearable spare battery pack for iPhone users if it ends up re-routing enough usage away from the primary mobile device to an auxiliary wearable. If that’s the case, Apple’s 2015 party trick could be more slender iPhones with battery life that appears improved thanks to a portion of mobile usage being

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Defending iOS with cheap iPhones

Benedict Evans delivers a compelling argument on why a cheaper iPhone is essential for Apple: A new, cheaper, high-volume iPhone would have the potential to mitigate or even reverse this trend. Clearly, like current low-end Android, it would sell to a demographic with a lower average engagement and purchase rate and so the average iOS rates would drop. However, it would mean that iOS’s reach would expand significantly at the expense of Android. How would a $200 or $300 iPhone

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