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AI&U - Sharad Gandhi and Christian Ehl

AI&U - Sharad Gandhi and Christian Ehl

AI&U - Sharad Gandhi and Christian Ehl

A weekly Business podcast
Good podcast? Give it some love!
AI&U - Sharad Gandhi and Christian Ehl

AI&U - Sharad Gandhi and Christian Ehl

AI&U - Sharad Gandhi and Christian Ehl

Episodes
AI&U - Sharad Gandhi and Christian Ehl

AI&U - Sharad Gandhi and Christian Ehl

AI&U - Sharad Gandhi and Christian Ehl

A weekly Business podcast
Good podcast? Give it some love!
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Episodes of AI&U

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AI and Sensors are a perfect match today. One supplies the data, the other one acts on the data. Here is what you need to know...
In the last 25 years computers and Internet have made worldwide communication and information access (virtually) free and instantaneous for everyone on the planet. Similarly, I predict that AI will enable expert medical diagnosis - another crit
AI is now used in B2C and also in B2B applications. What works best, what are some examples and differences, where should you focus?
We spent an afternoon with David Jenkins from eXXcellent Solutions (https://www.exxcellent.de) talking to the robot Pepper. We interviewed him (or her) on our podcast on Artificial Intelligence. Meet Pepper!
AI in Healthcare100 years ago medical knowledge doubled every 150 years.Now it doubles every 73 days.800,000 journal articles are published every year.Human genome has 3 billion data points.We need AI just to keep up.http://fortune.com/2
Positive• All products and services improve with automationo More abundanto Easier to useo More personalized o Fastero Cheaper• “Experts at your service 24x7” – via your smartphone and other deviceso Financeo Medicalo Lawo Taxation
What are the most pressing questions that business have on AI? We do a lot of presentations, here is what we get asked and what you should know...
AI&U Episode 10 The AI Canvas by AI&U - Sharad Gandhi and Christian Ehl
Can you think of an industry that does not benefit from intelligence? We believe that AI can enhance all business areas and will fundamentally impact most industries and businesses. The reason is very simple  —  artificial intelligence allows y
The quality of the AI is defined by the data that trains it. Any bias in the training data can affect the training of the ML algorithms and ultimately the accuracy of the AI. With human in the loop for algorithm training, tuning and testing, in
Human Level AI 2018 in Prague– has been the best AI conference for me in a while. Here is why (unsorted):It reminded me that the advantage of the first mover is huge, so is the responsibility.We will need a new architecture to reach human lev
Algorithms, Machine Learning and Deep Learning Algorithm: Formal Definition: An algorithm is a procedure or formula for solving a problem, based on conducting a sequence of specified actions. A computer program can be viewed as an elaborate
AI enables significant new forms of interactions between people and machines. Especially chat bots with text and voice are a new way of interaction. AI makes chat bots somewhat smart and enable new use cases and significant cost savings in area
Jeff Bezos (Amazon CEO) Quotes:“It is a renaissance, it is a golden age. We are now solving problems with machine learning and artificial intelligence that were … in the realm of science fiction for the last several decades. And natural lang
We expect the decisions by AI to be neutral, without any bias, because a machine has no emotions, opinions or a personal agenda. However, AI decisions do carry a bias. Why is that? Simple: AI inherits the bias from all the examples used for its
Software is eating the world and AI is eating software. And is the new oil that fuels the success of Artificial Intelligence. The data is used to train the AI. But obtaining and preparing the data right is difficult. We look at some examples, t
A well trained Deep Learning Neural Network (DLNN - which is one form of AI) produce fairly accurate and consistent decisions. However, it is not possible to extract the rationale or the causation for any specific decision/prediction. That is w
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