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2nd International Research Meeting on Artificial Intelligence Excelia Group

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According to the 2018 report of the World Economic Forum, AI will be increasingly present in our professional and personal lives. Some people think that this is a great opportunity which will revolutionize the world and our daily lives. Others see it as a threat to jobs and freedom. According to J. G. Ganascia, a researcher at the Sorbonne-University Computer Laboratory (LIP6), AI refers to "a scientific discipline that aims to break down intelligence into elementary functions, to the point where a computer can be built to simulate them." The fields of AI and machine learning offer infinite opportunities for research and development and building solutions that can help human civilization and socities.


The Twelve Truths of Machine Learning for the Real World

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Last month I gave an informal talk to an intimate gathering of friends with this title that I am putting down in words. This post is mainly for people who are using machine learning to build something as opposed to people who are working on machine learning for its own sake (god bless them). Although the latter group will do well to listen to these truths and introspect their work. In the spirit of holiday baking, I will throw in a Truth Zero to make this a bakers' dozen. Machine learning (and other AI application areas, like NLP, Vision, Speech, …) is an engineering research discipline (as opposed to science research).


The Twelve Truths of Machine Learning for the Real World #AI - AiUpNow

#artificialintelligence

Last month I gave an informal talk to an intimate gathering of friends with this title that I am putting down in words. This post is mainly for people who are using machine learning to build something as opposed to people who are working on machine learning for its own sake (god bless them). Although the latter group will do well to listen to these truths and introspect their work. In the spirit of holiday baking, I will throw in a Truth Zero to make this a bakers' dozen. Machine learning (and other AI application areas, like NLP, Vision, Speech, …) is an engineering research discipline (as opposed to science research).


Between hope and hype

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But also: 'AI will deepen my research and bring it a step further than it is now.' There is a wide range of opinions. Nevertheless, four out of five Dutch scientists foresee that AI will have a considerable impact on society. Two thirds also believe that AI will have a radical impact on science. The figures come from a survey that the editorial board of Research commissioned among researchers in various disciplines at Dutch knowledge institutions.


ML Ops: Machine Learning as an Engineering Discipline

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So, your company decided to invest in machine learning. You have a talented team of Data Scientists churning out models to solve important problems that were out of reach just a few years ago. All performance metrics are looking great, the demos cause jaws to drop and executives to ask how soon you can have a model in production. It should be pretty quick, you think. After all, you already solved all the advanced scienc-y, math-y problems, so all that's left is routine IT work.