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What AI Can Learn From Romeo & Juliet


The Story Thus Far When someone talks about “AI,” today, they are referring to one particular type of AI: multi-layer neural nets trained on big data to recognize patterns.  These so-called “deep learning” algorithms are great at learning more or less the same sort of stimulus/response functionality that our right brain hemispheres carry out – what Daniel Kahneman calls “thinking fast.”  This is also what the entire brains of most animals do.   So a better name for them might be AAIs, for Artificial … more

AI Will Soon Transform Social Media; The Question is How?


Many misconceptions surround AI, beginning with establishing its working definition. Just what is artificial intelligence? An explanation I recently found summarizes this technology’s capacities in a simplistic way: AI refers to any task completed by a program or machine that, if a human performed the same activity, we would say it required intelligence to complete. Essentially, AI is a tool for humankind. In the past few decades, we have witnessed the rise of other unprecedented tools that have reshaped… more

AI's Increasing Role In Customer Service


Customer experience should always be a top focus for any business. Keeping existing customers happy gives businesses a much better return than having to constantly find new customers. Continual advancements in technology are giving companies additional tools and resources to transform customer service interactions, providing better response times and increased quality of interaction. Increasingly, artificial intelligence is helping companies improve customer service, improve customer loyalty and brand… more

The Data Consultant's Lament


Enterprise data projects can take you on strange journeys. Good management, a sound data strategy, and yes, a cute cat picture can make sure you reach your destination, no matter how far out. I wrapped up a project today, one that had been cut short because the company in question had a change in management and a corresponding shift in spending priorities. While I'm quite proud of what I produced given that, I also have the full expectation that the project will likely not see utilization, because there's… more

Five Trends In Machine Learning Ops: Takeaways From The First Operational ML Conference


I recently co-chaired the first conference on Machine Learning Ops - USENIX OpML 2019. It was an energetic gathering of experts, practitioners and researchers who came together for one day in Santa Clara CA to talk about the problems, practices, new tools and cutting edge research on Production Machine Learning in industries ranging from finance, insurance, healthcare, security, web scale, manufacturing, and others. While there were many great presentations, papers, panels and posters (too many to talk… more

Leverage RPA, But Plan For Its Inherent Risks, Too!


Although the technology is new, the benefits of RPA can already be witnessed in various industry sectors such as healthcare, manufacturing, retail and banking. Robotic Process Automation can automate various mundane and routine tasks in the workplace using rule-based bots. The deployment of RPA can effectively improve productivity in the workplace and reduce human errors in business processes. RPA software does not require any coding, which makes it easier to transfer newer processes and tasks to bots.… more

Investing In The Internet Of Things Security


Since security has immediate and future consequences, what is the real cost of solving — or not solving — the internet of things security problems? Introduction Security is a complex challenge. As the smart, autonomous future dawns upon us, the security risks for the rapidly growing intrinsic web of connected things across cyberspace, aquaspace, geospace and space (CAGS) are becoming complex. As the number of things and devices being added to the internet of things (IoT) increases every day, so does the… more

The Present and Future of Computer Vision


Computer vision, or the ability of artificially intelligent systems to “see” like humans, has been a subject of increasing interest and rigorous research for decades now. As a way of emulating the human visual system, the research in the field of computer vision purports to develop machines that can automate tasks that require visual cognition. However, the process of deciphering images, due to the significantly greater amount of multi-dimensional data that needs analysis, is much more complex than… more

The Coming Computational Approach To Psychiatry


Introduction Any disturbance in human behavior has immediate and future consequences and costs. So, when a growing number of humans from across nations suffer from some form of mental illness, the cost and consequences of countries’ economic and societal security understandably skyrocket. This is a crisis that is becoming increasingly catastrophic for all nations, and as a result, everything seems to be at risk. As countries confront the complexity of mental health illnesses, a lack of understanding of… more

When the Music Stops: AI and Deflation


This is a long article, even by my standards. It represents my thinking about the implications of artificial intelligence on the economy, beyond the normal cheerleading that seems to so frequently accompany the discussion of the topic. Feel free to respond to me at kurt.cagle@gmail.com with questions or comments. Artificial intelligence, the use of computer processes to infer and make decisions on information about the world that is not necessarily explicitly given, has been a hallmark of much of this… more