The Science Behind AI

#FromFounder’sDesk: The Science Behind AI

AI is quite the buzzword these days, but do we understand Data Science technologies that combine to make up what we popularly call artificial intelligence (AI)? If not, let me try and explain in simple words.

In Simple Words, AI is made up of these Data Science Parts:

• Deep Learning
• Natural Language Processing
• Robotics
• Image Recognition
• Reinforcement Learning
• Question Answering Machines
• Adversarial Training

When strung together into a cool application, these data science technologies are capable of becoming AI that generates texts and images, summarizes data, drives cars and much more.

If you are looking to build a good AI tool for your business or investment process, make sure it is potentially able to see, hear, learn (get smarter), speak, make decisions and move. While the current rudimentary commercial applications of AI do one or the other, the next generation of sophisticated applications will be able do pretty much all of these functions simultaneously.

Going Forward

Keep your eye on a couple key trends to stay ahead in the AI race:

·??????Just as vaccination transformed healthcare in the 1920s, so will AI transform all businesses. Keeping an eye on how different industries and sectors apply AI to increase -productivity, will allow you to fine-tune AI for your own business.

·??????Further development in Spiking Neural Nets will take AI to the next level

We are still in early days of our AI journey; the fork you take will determine the future of your business.

?Aradhna Dayal, Founder & CEO, Access Alts Asia

Aradhna is an active investor in Asian start-ups and alternative investment funds for her Family Office. She is also the founder of Access Alts Asia, a family office investment club based out of Hong Kong.?

?Input Credits: Bill Vorhies at the Data Science Central?