Machine Learning is used to create a personalized experience.
Image Recognition ● Voice Recognition ● Recommendations
Companies today face more uncertainty than ever before. But with uncertainty comes opportunity. Traditional approaches analyze the past to predict the future. These companies are facing the wrong way.
Disruptive change is accelerating
By 2025 we will create 180 trillion GB data per day.
1 trillion GB is about 250 billion DVDs.🎬💿
The intelligence gap is the difference between amount of data created and our human capacity to analyse and understanding.
Every 2 years the amount of data created like 🖼 images, 📼 video, 🎼 audio or text doubles. Currently only 0.5% of all accessible data is analyzed. Imagine the potential here.
ML will be essential to turning all data into insight
All these brands use a chatbot with AI-enabled interactions to engaging with customers.
ML 🤖feedback loop to perfecting prediction
1. A Better Experience
Helps to Acquire More Users
2. More Users
Results In Even More data
3. More Data
Creates An Even Better Prediction
Stanford researchers trained an ML on 112,000 X-rays
to beat radiologists at the pneumonia game with image recognition.
ML 🤖 feedback loop in Image Recognition
1. Better accurate X-ray Diagnose
Will lead to more Docters using ML
2. More Docters using ML
Results In Even More X-Ray Image Data
3. More X-Ray Image Data
Helps to get more accurate X-ray Diagnose
Google Voice Search perform 708.480.000 search queries
per day by using speech recognition.
ML 🤖 feedback loop in 🗣 speech recognition
1. Better Speech Recognition
Helps to get More Voice Search Users
2. More Users of Voice Search
Results In Even More Speech Recognition data
3. More Speech Data
Helps To Build An Even Better Voice Search
Youtube curates 432.000 hours of new video every day.
by intelligent automation of an ML recommendation engines
ML 🤖 feedback loop in Video Recommendations
1. Better Next Video Recommendations
Helps Youtube to get More Videos Watched
2. More Users of Youtube
Results In Even More Video Recommendation Data
3. More Recommendation Video Data
Helps To Build An Even Better Youtube Product
Tesla develops an autonomous car
with the ability to process 4 terrabytes data per day to enable a self-driving vehicle. .
Unleashed from the realm of science fiction.
ML represents a technological revolution like no other.
By 2030 ML is expected to be a $15.7 trillion game changer
The future is here it's just not evenly distributed.
Prediction is the underlying mechanism of ML. Predictions are now operating at a 70% accuracy. When prediction accuracy increases to a certain level complete new business models will unlock. Amazon will start to ship 📦to your 🏠 when they are 90% confident what product you want to purchase next.
Just as 100 years ago electricity transformed industry after industry AI will now do the same.Andrew Yan-Tak Ng, co-founder Google Brain, former VP & Chief Scientist at Baidu, professor in Computer Science at Stanford Universit
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