Artificial Intelligence

A continued exploration on Artificial Intelligence (AI) has led me to discover quite a number of interesting startups and I wanted to mention for further study: Ayasdi, Autocrit, Narrative Science, Kensho, and Quid. These AI based startups are making a splash in their respective fields and stretching the possibilities of small and medium sized businesses, not to mention igniting the dreams of young entrepreneurs.

Since the Dartmouth Summer Research Project on Artificial Intelligence in 1956, the term “Artificial Intelligence” has replaced a myriad of previous names attached to the topic of “thinking machines”. The advancement of this phenomenon remained largely within the computer science community, although progressively intertwining itself into the fabric of modern society, which went unnoticed until the new millennium.

As the community of computer scientists discussed the possibilities of machine learning and its meaning, the continued advancement of personal computing hardware and adoption of the Internet and social media accelerated everything.

It could be argued that the two things that pushed AI to the forefront of mainstream media was the consumers’ behavioral change caused by social networking and the boardroom’s realization of the importance and potential capitalization of its Big Data. The business and predictive analysis of this generation of AI has enabled companies to tighten their belts where necessary and move forward.

Currently as machine learning advances, with humankind alongside it, we don’t need to focus on the distant potential evolution of AI, but rather our leveraging it to meet our problems of today. While we need to be cognizant of the potential for a strong AI to negatively interpret data and impact our society we should understand that’s not the AI we are facing in our work streams today. And although this is an irreversible path, that doesn’t mean it’s a bad thing. A realization of the near term benefits and our continued adoption of AI will only make our society stronger. And as we learn how to further incorporate AI into our lives we need to study how to ensure it stays at a measured growth with proper controls.
Aside from the social media and big data drivers of the twenty first century, another key factor has been the idea of collaboration. This collaboration mentality was started by tech visionaries that kept their technologies open source. When startups and companies open source they are helping pull forward the overall technological advance. One key example was Google’s open sourcing of Tensor Flow, a machine learning library that’s inspired entrepreneurs and young developers alike.

In conclusion, AI is now a part of the human experience. As we learn to harness its power and leverage each other’s innovations’ humankind will continue to eradicate diseases, wastefulness, inefficiencies and develop technologies that enable us to explore further into the oceans and outer space. And as the Wright Brothers took the world to flight, AI will take us to the stars.