When fundamental aspects of a system are changing fast and at once, it becomes difficult to see clearly what is actually going on. In such cases, abstraction can give us some distance: construct a model outside the immediate context, explore its implications, and then bring it back to reality to see what it reveals.
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As life gets busier, we experience fewer things ourselves and start delegating more of them to people and to technology. We try to do it wisely, looking for signals on who to trust and how. When I’m searching for a nice place to eat, I don’t go through every spec. I look at people I trust in that domain and lean on their choices, sometimes even combining a few of them, hoping it’s not just a closed feedback loop.But in the areas that matter most to me, I find myself asking: what are the things I
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Applied science as a profession grew out of algorithm development, but it has always been more than that. The familiar Venn diagram (see figure below) of mathematics, computing, and domain knowledge captures its essence. Applied scientists sit at that intersection, expected not only to deliver technically, but to understand what moves the business needle and translate that into solutions grounded in math and executed in code. Unlike academic AI researchers, who focus on theoretical advances, app
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The way we live is being molded by technology. The internet, for instance, has transformed communication by connecting over 5 billion individuals worldwide. Medical technology and genomics impact the life expectancy among modern societies. The manufacturing revolution changed the way we eat, consume and work. Social media influences our thoughts, emotions and actions, with a daily average of more than 2 hours of cognitive content. As AI can be utilized with these technologies, it possesses the c
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Historical events such as the attack on Pearl Harbor and the Yom Kippur war are historical reminders for the impact of unexpected surprises. Although relevant information was available in these cases, the ability to analyze and act upon it was lacking, resulting in far-reaching consequences. To avoid being caught off guard by unexpected events, government agencies are investing significant resources in collecting and analyzing relevant data to provide early warnings and alerts.In the business wo
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This post is a focused guide that highlights the key factors for effective deployment of AI models in production
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The article provides outline of the challenges and trends when taking AI to the real-world, based on my experience in this field.
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