Customer First, Customer Last … Aruba Creates a Lasting Experience Pt.2

“The area of technology I feel has the most impact is in the area of healthcare, which is why I am working on numerous projects that harness the power of machine learning for mental health. As an example, my App tries to figure out certain patterns that may predict depression in teens and war veterans so that we can stop depression before it evolves into something serious, thereby using tech to maintain a more active, rather than passive role.

I am also working on technology that provides artificial communication to those who cannot communicate naturally or who had lost the ability to do so due to disease or injury – by understanding their brainwaves through customised machine learning algorithm. I also work on technology that diagnoses hearing disorders in much faster and more accurate ways which audiologists could never have done alone without AI tools.

Another technology that I am involved in predicts adverse reactions towards drugs or medications, even before the person actually experiences it or even before his specific demographics have been tested for it in individual trials.”

  Artificial intelligence augments Humanity, not replaces it

 “The development of full AI could spell the end of the human race.”
– Stephen Hawking –

“AI’s future is very scary and bad for people.”

– Steve Wozniak –

“With AI, we’re summoning the demon.”

– Elon Musk –

 “I couldn’t agree more, in fact, but you have to realise that none of them uses the words, “machine learning”. They all use the term “AI”, which is automation, and not the same as machine learning. Because artificial intelligence doesn’t exist, we don’t have to be afraid of it. AI is but a set of hard-coding. The concept that we can simulate a human mind with a computer simply doesn’t exist. However, machine learning is a set of math used to build a numeric model, which can then be used to transform new input data into predictions without us humans having to give the systems any clue or any hint. Machine learning is going to augment you in fact, and will help you do more than you can ever do alone by processing data sets that you never knew can be processed before. At the very core of how machine learning works is data.”

Privacy vs. data

“How does one balance the conundrum of privacy versus data? Apple’s Siri collects almost no user data, therefore user privacy is great…. but it lacks in some key area, like intent and understanding. On the other hand, with the Google system, you can tell that Google is collecting a lot of data because it can build certain platforms, i.e Google Duplex, which touts better uses of natural language processing. (Google Duplex is a new technology for conducting natural conversations to carry out “real world” tasks over the phone). Yet, the core dependency of all these new technology is data. Today we are simply not collecting enough data to be able to effect change in machine learning models adequately. However, in the past 6 years, we are in new kind of era – we are in the era of deep learning technology, which doesn’t saturate when you feed it more and more data, unlike machine learning.”