Today, I’d like to share the story of two members of the Samsung Developer Program community and the paths they took that allowed them to pursue their passions.
When you are involved and excited by an emerging technology, it is a common instinct to overestimate its impact and promise. Media enthusiasm builds in intensity and stokes interest, and when a new technology is promoted at the proof-of-concept stage, the publicity encourages developers to investigate it. Early adopters dive in, development proceeds, and success stories add to the anticipation of great things to come.
AI is a powerful and disruptive technology altering the landscape of application development and the wider world as we know it. The adoption of AI is increasing at a fast pace. While AI helps developers in every area of society to create solutions, implement change, and drive progress, it also forces us to think more deeply about our relationship with technology and the ethics of AI.
The technology industry often takes credit for the changing world of work. One example is the model of remote employees working as digital nomads in their favourite coffee shop, connected via Slack and collaborating via the cloud to create products and services for consumption over the internet or on smartphones and tablets. But what about work within the technology industry itself? We take a look at the profile of women in technology and compare it with the profile of their male counterparts.
Here are the winners of the Developer Economics survey Q4 2018 prize draw! Congratulations to all the lucky ones! Stay tuned for the new survey announcements and new prizes coming in Q2 2019.
In our latest installment of Dev Evolution interviews, we talked with AndroidPal on how their tool creates value for developers and what technologies they are using to create their tool.
I worked in the smartphone industry before it came of age. Our mission was “a smartphone in every pocket” at a time when simple feature phones like the Motorola RAZR were the must-have communications device. Within a few years of our early projects, the competitor, Apple, launched the iPhone. The rest is history. The App Store opened its doors, the stars aligned, the technology dream was realised and smartphones went on to rule the world.
The Fortnite phenomenon has captured the attention of the gaming community and exemplifies many of the changes that have occurred over the past 18 months in the industry. Gaming has become much more social, and watching expert gamers execute perfect moves can be just as much fun as playing them. This creates a new channel for developers to promote their games and new ways to generate revenues. Fortnite first gained popularity when rock star streamer Ninja and rapper Drake streamed their game-play on Twitch. This shift is influencing revenue models and opportunities for developers. The trend is also helping to shift development to the web.
The web echoes with cries for help with learning data science. “How do I get started?”. “Which are the must-know algorithms?”. “Can someone point me to best resources for deep learning?”. In response, a bustling ecosystem has sprung to life around learning resources of all shapes and sizes. Are the skills to unlock the deepest secrets of deep learning what emerging data scientists truly need though? Our research has consistently shown that only a minority of data scientists are in need of highly performing predictive models, while most would benefit from learning how to decide whether to build an algorithm or not and how to make sense of it, rather than how to actually build one.
Here are some of the most interesting insights from the latest State of the Developer Nation 15th edition, based on the data from 20,500+ developers in 167 countries, who took part in our Developer Economics survey in May-June this year. We reveal top skills developers want to learn in 2019, the most popular programming languages globally, and to how many developers are big data and real-time predictions relevant.