Artificial intelligence has been dominating the tech news headlines for a few years now, as the innovations in the sector keep rolling out at increased rates. The technology is, for lack of a better term, awesome, and when used correctly, it can have tremendous effects. We have already begun to see artificial intelligence in the consumer sphere take off at lightning speed.
Artificial Intelligence is in More Things Than You Think
Smart assistants, such as Google Home, Amazon Alexa and Apple’s Siri, have all dominated their share of the market with intuitive daily assistants that can keep track of your schedule and tell you the weather. They can even tell jokes—which may or may not leave you in a state of disrepair.
Looking to the future, we also have autonomous vehicles, which will change our lives undoubtedly by potentially limiting traffic collisions and deaths. That is the true endeavor of technology: to change our lives in such a way that they are never quite the same.
Artificial Intelligence Development is Open to All
Development of AI programs is being accelerated due to the availability of AI libraries. With these powerful libraries, development teams are able to build custom code on a complex pre-built infrastructure. Google, IBM and Microsoft all have their own AI APIs that programmers can use to create better products.
Using paid APIs, developers can use advanced programs developed by tech giants in their own applications. Google Cloud AI provides a suite of machine learning services. You can venture into other APIs also powered by AI. For example, you can use Google’s Cloud Speech API, which uses AI to dynamically convert audio to text in an existing application.
TensorFlow is freely available to help programmers, developers and engineers use machine learning algorithms to better manage and classify data. All of these APIs empower development teams to dig deeper into deep learning.
What Advancements Mean for Developers
The goal of the openness of AI development is to create a new normal brought to life by the endless innovations of the tech industry.
Without hesitation, we can call AI the next great invention. It has an ability to completely reshape the face of our world in such a way, that this current life will become one of distant fondness and inelegant trite labor. Indeed, the developers of AI will be contributing to the total revolution of life as we know it and the consequences thereafter.
This is why it is so important to get it right. Using a guideline to build the future will ensure that it can handle the weight of use, without failing itself into obscurity.
Innovation Means Opportunity
Ultimately, AI is at its best when it fixes a common problem and is developed with best practices. Because the technology is so new, developers must work around the clock to create applications and get them to market so that their impacts, if any, can be registered and used for analytics. Developing AI is much bigger than a simple web application or smartphone app.
The pure potential of the tech alone is enough to incite the most lethargic to action, but development will be in vain if not for best practices. Once developers around the world start to follow a development guide, it will increase the fluidity of innovation and knock down any barriers in its way.
This ensures that developers can share ideas and technology easily, without being in the dark when it comes to the shared development process. Artificial intelligence is an ongoing innovation that may never cease to improve on itself.
Conclusion
In this article, we examined the best development practices in AI so that you and your team can create AI applications with the future in mind.
In fact, the pursuit of humanoid AI, upon its completion, will most likely give us its own revolution in the tech industry as it slowly becomes pervasive in all industries. There is a beauty in contributing to grand goals. You and your team should not be limited or sidelined by a lack of knowledge about best practices when developing AI applications.
There’s a wealth of resources for developing AI programs through the use of existing AI libraries. There’s plenty of help from the AI community, who are all pursuing a greater utopia with AI—and your team should not be left in the dust.
— Anthony Coggine
