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AI&U - Sharad Gandhi And Christian Ehl

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AI&U - Sharad Gandhi and Christian EhlAI&U - Sharad Gandhi and Christian EhlAI&U Episode 17 AI and SensorsAI 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...2019-03-1715 minAI&U - Sharad Gandhi and Christian EhlAI&U - Sharad Gandhi and Christian EhlAI&U Episode 16 - Healthcare for FreeIn 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 critical need for everyone - will become free and instantaneous for everyone. Next step in Healthcare is a personalized treatment-plan. AI has shown great promise in formulating treatment-plans based on patient medical data and millions of cases with comparable history.2019-02-1722 minAI&U - Sharad Gandhi and Christian EhlAI&U - Sharad Gandhi and Christian EhlAI&U Episode 15 - AI in B2B and B2CAI is now used in B2C and also in B2B applications. What works best, what are some examples and differences, where should you focus?2018-12-0215 minAI&U - Sharad Gandhi and Christian EhlAI&U - Sharad Gandhi and Christian EhlAI&U Episode 14 - The World's First Podcast With a RobotWe 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!2018-11-2519 minAI&U - Sharad Gandhi and Christian EhlAI&U - Sharad Gandhi and Christian EhlAI&U Episode 13 - AI and Health CareAI in Healthcare 100 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/2018/08/22/toby-cosgrove-cleveland-clinic-brainstorm-health/ Some big healthcare challenges with a promise of benefiting from AI and automation: ● Diagnosis and Treatment Plan ○ Fast with expert level accuracy ○ Economical and accessible for all ● Patient Remote Monitoring With Emergency Detect ● Elderly Care ● Detection and spread of new infections ● Precision medicine ● Clinical Trail Eligibility Assessment ● Drug Discovery ○ Faster and Cheaper Healthcare costs have been rising steeply for many years coupled with a severe shorta...2018-11-1821 minAI&U - Sharad Gandhi and Christian EhlAI&U - Sharad Gandhi and Christian EhlAI&U Episode 12 - Impact of AI on People’s Daily LifePositive • All products and services improve with automation o More abundant o Easier to use o More personalized o Faster o Cheaper • “Experts at your service 24x7” – via your smartphone and other devices o Finance o Medical o Law o Taxation o … Negative AI can create major psychological and sociological impact on individuals and society leading to disorientation (for some) due to changes in: • Privacy • Security • Job loss and insecurity • Burden of learning new ways of doing things • Inequality • Loss of meaning and purpose2018-10-1417 minAI&U - Sharad Gandhi and Christian EhlAI&U - Sharad Gandhi and Christian EhlAI&U Episode 11 - Important Questions for BusinessWhat 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...2018-10-0119 minAI&U - Sharad Gandhi and Christian EhlAI&U - Sharad Gandhi and Christian EhlAI&U Episode 10 The AI CanvasAI&U Episode 10 The AI Canvas by AI&U - Sharad Gandhi and Christian Ehl2018-09-2321 minAI&U - Sharad Gandhi and Christian EhlAI&U - Sharad Gandhi and Christian EhlAI&U Episode 9 Value of AI for BusinessCan 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 you to make better decisions for both simple and very complex tasks. It does so by understanding and evaluating all the parameters and factors that influence it. It can leverage complete sets of data and it can better understand the influencing factors and produce an answer that is more reliable than humans alone can. We are seeing the evolution of new AI-based tools and se...2018-09-1615 minAI&U - Sharad Gandhi and Christian EhlAI&U - Sharad Gandhi and Christian EhlAI&U Episode 8 AI and Human in the Loop - Guest Sara Wasif of PacteraThe 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 addition to ensuring that the AI is working as it was intended to, it also serves as a safeguard against bias as human judges can make ethical, cultural and emotional judgements that an AI shouldn’t be tasked or not be trusted to do. However, this introduces another challenge, the implicit bias. The biases pe...2018-09-0600 minAI&U - Sharad Gandhi and Christian EhlAI&U - Sharad Gandhi and Christian EhlAI&U Episode 7 Human Level AI Conference Impressions 2018Human 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 level skills, deep learning won‘t cut it. It pointed to the end of programming because all programming will become obsolete, once the machine reaches general AI and can design better algorithms than humans. It reiterated the limits of deep learning where it can better identify a tree but does not grasp the concept of one...2018-08-3000 minAI&U - Sharad Gandhi and Christian EhlAI&U - Sharad Gandhi and Christian EhlAI&U Episode 6 AI and AlgorithmsAlgorithms, 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 algorithm. Or simply, it is a set of steps to accomplish a task. Our view: Algorithm is a model (mathematically – a target function) that best correlates (predicts) output behavior to all possible input combinations. ==== Machine Learning Formal Definition: Machine learning is the process of teaching a computer to carry out a task, rather than programming it how to carry that task out step by...2018-08-1600 minAI&U - Sharad Gandhi and Christian EhlAI&U - Sharad Gandhi and Christian EhlAI&U Episode 5 Chat Bots based on AIAI 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 areas like sales and customer service. In this podcast we discuss some of the important elements you need to know.2018-07-2900 minAI&U - Sharad Gandhi and Christian EhlAI&U - Sharad Gandhi and Christian EhlAI&U Episode 4 Important QuotesJeff 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 language understanding, machine vision problems, it really is an amazing renaissance.” “Artificial Intelligence and Machine Learning ... will empower and improve every business, every government organization, every philanthropy … there is not an institution in the world that cannot be improved with Machine Learning.” “[A] lot of the value that we’re getting from machine learning is actually happening beneath the surface. It is things lik...2018-07-2900 minAI&U - Sharad Gandhi and Christian EhlAI&U - Sharad Gandhi and Christian EhlAI&U Episode 3 Bias in AI decisionsWe 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 training. A Deep Learning Neural Network (DLNN) develops its algorithm for making decisions during the supervised training from the validated examples used. Opinions and biases of real people whose decisions are represented in the examples are integrated into those examples. AI inherits that integrated bias. The validated examples for the DLNN AI learning are like...2018-07-2400 minAI&U - Sharad Gandhi and Christian EhlAI&U - Sharad Gandhi and Christian EhlAI&U Episode 2 Data, the fuel for Artificial IntelligenceSoftware 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, take you through the various steps of preparing the data and talk about bias in data, that resolves in bias of AI. Excellent quality of data is as critical for the success of your AI solution as the quality of software for your mission critical programs. Getting data skills is a must have in your AI...2018-07-1600 minAI&U - Sharad Gandhi and Christian EhlAI&U - Sharad Gandhi and Christian EhlAI&U Episode 1 AI black box and transparency of AI decisionsA 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 what we call a black box. The decision making algorithm is developed out of the training examples and contained within the DLNN as billions of parameters, which cannot retrospectively be expressed as a logical sequence. DL decisions result from an integration of all examples/cases used in the training of DLNN. Each example results in the tuning of the parameters...2018-06-2400 min