Artificial Intelligence, Real Innovation

When we think of AI, our minds immediately go to the sentient intelligences of Hollywood movies such as I-Robot, Terminator, Blade Runner, and Enter the Matrix. While free will and sentience might be some ways off, AI is expected to add a lot of functionality, and a host of other features to products and services. Organizations and think tanks all over the globe stand to gain a lot from researching AI, and other such emergent technologies. In 2017 alone, billions of dollars were invested into 100+ AI startups, according to statistics.

When we think of AI, our minds immediately go to the sentient intelligences of Hollywood movies such as I-Robot, Terminator, Blade Runner, and Enter the Matrix. While free will and sentience might be some ways off, AI is expected to add a lot of functionality, and a host of other features to products and services. Organizations and think tanks all over the globe stand to gain a lot from researching AI, and other such emergent technologies. In 2017 alone, billions of dollars were invested into 100+ AI startups, according to statistics.

The emergent technology has a lot of latent potential and can enhance productivity, amplify revenue via increase customer interaction, improve customer engagement, and drive down costs. In addition, as demonstrated by the latest in consumer technology, AI can be leverage for its smart functionalities such as enhanced vision, voice interaction, and control. AI is adding a new dimension to consumer product line-ups, one that has rejuvenated the industry as a whole.

AI introduces a new dimension of capabilities to mainstream products. Technological giants are already knee deep into developing their AI platform APIs. Google’s TensorFlow, Amazon’s DSSTNE (Deep Scalable Sparse Tensor Network) and Facebook’s fastText are a few examples. What’s more, these companies have recently decided to open source these projects. By doing so, these industry stalwarts join, and in a way, compete with open source deep learning libraries like Caffe, Theano, and Torch.

With an open-source system of access, there are significant benefits for the emergent ‘API Economy’. Developers accelerate their own work via API hooks, by exposing themselves to the work done by others. This opens the floodgate for massive entrepreneurial investment, and for the upcoming generation of AI-driven companies, by democratizing access to machine learning resources. This is a significant evolution within the industry.

This influx of APIs in AI opens up infinite possibilities for software developers. Spoken language recognition, face recognition, comprehension of meaning from extensive social media data, and acting as the brain for a robot or self-driven car are a few of the applications that can now be fully realized. AI engines, on tap as a service, can leverage the world’s advanced CS work via an API call.

The current excitement and increase in the application of AI around the world is not solely due to the open sourcing of APIs and AI tech alone. The overall prevailing scenario in the tech world today, provides ideas with the required bandwidth and resources. Showing no signs of slowing down, AI is set to revolutionize industry in the same way the industrial revolution did hundreds of years ago.

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