AI is transforming all business functions, and software development is no exception. Not only can machine learning techniques be used to accelerate the traditional software development lifecycle (SDLC), they present a completely new paradigm for inventing technology. Traditionally, developing a computer programs requires you to specify in advance exactly what you want the system to do and then hand engineer all of the features of your technology. Encoding many tasks in an explicit way is possible, as computers before the advent of AI were still quite powerful. There are many tasks and decisions, however, that are far too complex...Read More
Author: Mariya Yao
We don’t have to wait for AI to gain sentience and go rogue because the probability of intelligent automation being used by bad people for bad purposes is one…hundred…percent. Expect chaos when con artists conspire with convoluted neural networks. Assessing threats and preemptively developing defense mechanisms is critical for the good guys to prepare for, prevent, and mitigate potentially existential threats. That’s the core message of a comprehensive and rather alarming report prepared by some of the brightest (ahem, human) minds on artificial intelligence. Aptly entitled “The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation,” the 100-odd page policy...Read More
Marketing success depends on many factors. You need accurate consumer research to build your branding strategy, engaging content to delight your audience, a firm grasp of behavioral economics, and a near mystical ability to intuit how people will weigh your message against those of your fiercest competitors. In the digital age, marketers can’t win without mastering data, analytics, and automation. Fortunately, machine learning (ML) can already improve marketer performance on common tasks like customer segmentation, generating branded collateral, extracting and classifying relevant content, customer communication, and overall productivity and output. In the new economy, a marketing unit without machine learning mastery...Read More
Adelyn, Marlene, and I had the honor of being invited to speak at CES 2018 about our book, Applied Artificial Intelligence: A Handbook For Business Leaders. Other authors featured in our cohort this year included John Grisham and Stephen Wolfram. In the past, Deepak Chopra and Alexis Ohanian have spoken on stage about their work. Geez, no pressure… We were extremely lucky to have Cindy Stevens, Senior Director of Publications for the Consumer Technology Association (CTA), be our interviewer. She and the rest of the CTA team made what could have been a high-pressure situation feel streamlined and relaxed. We’re...Read More
Data is a human invention. Humans define the phenomenon that they want to measure, design systems to collect data about it, clean and pre-process it before analysis, and finally choose how to interpret the results. Even with the same dataset, two people can form vastly different conclusions. This is because data alone is not “ground truth,” defined by machine learning experts as observable, provable, and objective data that reflects reality. If data was inferred from other information, relies on subjective judgment, was not collected in a rigorous and careful manner, or is of questionable authenticity, then it is not...Read More
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