Hand shake between man & robot depicting artificial intelligence and machine learning  [11:32 am] Shubham Kumar Pandey Artificial Intelligence and Machine Learning, data science and artificial intelligence, difference between ai and machine learning, artificial intelligence course, machine learning course

In today's tech-filled world all around us, ML/AI solutions interact with us on day to day basis. Every time you pick up your phone and do anything, it makes some machine learning model somewhere a bit more on point and accurate.

1. First, in that queue is a therapy chatbot named Woebot developed by Woebot Healthcare. They recently raised a $90 million Series B funding round led by JAZZ Venture Partners and Temasek. This included participation by BlackRock Private Equity Partners and Owl Ventures. I mention these names to put across a point that this is serious business, not another hype that will die down in a year or so.

When it comes to our experience with chatbots, they are not new. We now find them on e-commerce websites, banks, travel booking platforms. In all these places, the first encounter to contact/help is now almost always a chatbot. However, the conversations with these chatbots are very mechanical and fact-driven and eventually a lot many times you end up taking the issue to a real human agent.

2. Our next success story comes from India. Qure.ai uses deep learning-driven computer vision techniques to find abnormalities in X-rays, CT scans and MRIs. These tests especially chest X-rays are used widely for preliminary tests for tuberculosis.

India's dearth of capable doctors is not a hidden fact, with the increasing population, it's difficult to get access to on-point healthcare as and when it's needed. it takes almost 20 mins on average for a trained technician to find abnormalities in chest X-rays, and there is a lot of chance for human errors. Qure.ai solutions take just 3 mins to detect an abnormality with 95% accuracy. And AI doesn't tire!

3. With climate change on our heels, we have seen how weather-driven natural disasters have wreaked havoc on human lives and wealth over the last couple of years. Disaster comes in many forms, sometimes cyclones or a sudden burst of heavy rains, or forest fires or landslides. Timely evacuations can save thousands of lives. We have never been this much in need of accurate weather forecasts.

Twenty years ago, forecasters could predict about three days of weather in advance with a good level of accuracy. Now with the usage of AI trained with satellite imagery and on-ground sensor data, this time has increased to almost a week with insane precision. Over the last few years, timely evacuations alone have saved millions of lives of people living along with coastal cities in the US, India, Japan and across the globe.

We are now also able to better monitor vulnerabilities of human settlements across different geographical regions and this enables to us take safeguarding actions against what might happen in inclement weather including flash floods or sudden landslides.