Analytics on Star Wars fans - their profile, gaming and online shopping habits.
Author Archive | Peter Kua
In less than 20 years from today, roughly 50% of all jobs will be handled by computers. Artificial intelligence and automation has pretty much taken over routine and repetitive work. And as machine learning algorithms become more sophisticated, machines will assume services-type roles.
Advances in AI algorithms and a quantum leap in computing power have delivered to us the capability to “recreate” a version of ourselves using machine learning and from the vast amounts of data we generate. Augmented Eternity is the notion of outliving our mortal body by uploading the contents of our mind to a computer.
Nobody would have imagined that the 50 glorious years that defined the IOT journey started with a young electrical engineer having a bit too much to drink on New Year’s Eve. While nursing a hangover on Jan 1, 1968, Dick Morley, remarkably, designed the world’s first Programmable Logic Controller (PLC), thus giving birth to the Internet of Things.
Today, it’s all about smart ecosystems. NLP and deep learning is all the rage. Tomorrow - circa 2025 - we will witness ourselves living among cyborgs, swarmbots and nanotechnology. And we even have a neat name for the environment we’ll be living in: a super society.
For a language that was developed in the 1970s, SQL (Structured Query Language) is one of the most important skills you will need in your journey to become a data scientist. You can't ignore SQL if you want to be a good data scientist. Mastering SQL, which is the bread and butter of data science, also opens the doors to plenty of job opportunities.
Since its rise to stardom, AI has had an unquestionably positive effect on our lives. Think of Siri, your friendly personal assistant embedded in your iPhone. What about Netflix that uses AI algorithms to recommend our next movie? But let’s sit down and ponder upon the darker side of artificial intelligence: Its potential to replace all our jobs.
Instead of worrying about AI taking over our current jobs and rendering us all out of work, we should be thinking about what AI and machines still cannot achieve... for we will need their help to turn our far-reaching dreams into reality.
Watch out. If your job is highly-predictable, you can easily be replaced by machines! Technologies such as artificial intelligence will automate 50% of the current activities that our workers carry out today in industries like accommodation and food services, manufacturing, transportation and warehousing, agriculture, retail and mining.
In this latest briefing note - WHAT’S NOW AND NEXT IN ANALYTICS, AI, AND AUTOMATION - by McKinsey Global Institute, personalized advertising is one of the best use cases for AI and machine learning.