The 5 Best AI APIs for Creative Developers

Building AI requires a creative streak. Machine learning, data science, and artificial intelligence need design-centric and marketing-focused development teams.

The AI industry has exploded over the last few years thanks to key innovations and advancements in the industry that have allowed companies to hire startup developers from around the world to participate in the development of advanced AI.

Though it may sound like rocket science, building AI apps for creatives is much easier than you might think thanks to APIs that allow non-technical people to create wonderful apps.

1. DialogFlow

DialogFlow is one of the easiest AI APIs for non-coders to wield. Chatbots can be created, edited, and tested within a single dashboard. Creating conversational software easily integrated into Google Home devices.

Google Home assistants can use DialogFlow as well as third-party applications that allow your chatbot to integrate with products and services like Facebook Messenger, Slack bots, and iOS apps.

2. Google Cloud

Google cloud has several machine-learning AI APIs. Google cloud users can leverage to make a wide range of applications, platforms, and smart software products.

Smart translation, text analysis, and text to speech are all machine learning APIs that Google Cloud services provide for active business accounts.

While it's likely to require at least some coding experience, tools like the app engine help make development much easier by taking care of resource allocation and providing users with a pre-fabricated back end.

3. Amazon Web Services

Amazon Web Services is, by far, the largest cloud computing service. AWS is the de facto server of the known World Wide Web. As such, it has several powerful, robust, and useful application programming interfaces for deep learning, machine learning, and automation purposes.

AWS currently holds the gold prize for functionality but other cloud services are narrowing that gap. Microsoft Azure and Google Cloud provide similar services at reduced rates. However, if you’re implementing an AI API for an existing system, it’s most likely going to be AWS:

4. Salesforce Einstein API

Salesforce is the largest marketing CRM known to man. The giant marketing platform has absorbed dozens of budding software products, expanding its ever-reaching umbrella of sales and marketing software products.

The Einstein API expands upon Salesforce’s marketing analysis capabilities. Einstein AI can analyze sentiment in text and extract meaning, providing automated insight into reviews, branded content, and sales language.

5. Microsoft Azure

For developers looking a little more ahead, Google Cloud offers AI APIs across a wide spectrum of uses and industries. The Google suite of AI APIs offer services like translation and analysis to creative developers who want to use a variety of tools to create Google-based software. AWS, much like Google, offers a variety of AI APIs but with Amazon integration that seamlessly integrates with the AI software that you create.

But, sometimes the APIs available on popular platforms simply don’t work for us. There are the Microsoft Azure Cognitive Services which utilize Microsoft’s AI technology to accelerate apps and increase functionality without having to know the ins and outs of machine learning. For creative developers, Microsoft Azure takes the technical slog away and replaces it with a suite of technologies that can be customized to fit your needs.

Conclusion

A vitally important tool for AI developers is DialogFlow as it is easy enough for creative developers to fully utilize and simple enough to deploy. With easy integration into Google and Facebook, it is little wonder why DialogFlow has become so popular as an AI tool.

Chatbots are becoming an increasingly commonplace technology, especially in the business world where chatbots do the work of some customer service teams. Beyond that, however, DialogFlow is useful as an introduction to working with AI that provides the necessary foundation for other, more advanced AI projects.

Developers who want to utilize Amazon’s services and the marketplace will find great success in developing with AWS. IBM Watson is another great option for creative developers who want to create AI apps that target business logistics and operations.

The IBM platform is a business-focused, enterprise AI system that works to optimize and streamline all of the processes inherent in running business tech. Creative developers enjoy working with IBM Watson because it makes business sense.

Then there is the Einstein API by Salesforce that utilizes powerful AI technology to extract sentiment and meaning out of text to assist marketers and advertisers. Utilizing these tools will allow the least technical creative developers to create the most incredible tech.