Are you exploring how to best implement artificial intelligence in your business? Consider these trends, which are key to a future of practical AI business applications
If you are considering using artificial intelligence (AI) to mature your foundational IT and data capabilities, how do you separate hype from reality?
… Here are five industry trends that will help. Read More
Daily Archives: September 22, 2020
Bot or Not
CAPTCHAs have evolved to reflect the untenable distinction between real and fake users
A smiling woman unloads a dishwasher. The image, now embedded in a tweet, has been sourced from a collection of stock photos including other smiling women stationed at the same dishwasher. Partitioned into a neat, four-by-four grid, the image is topped with a familiar blue header and an apparently innocuous directive: “Select all squares containing a dishwasher.” Eight have been selected, as indicated by a familiar blue checkmark, but they contain the smiling woman, not the appliance. Is this a sophisticated critique of technology’s role in the gendered division of labor, or is it merely the handiwork of a misogynistic troll? Read More
The Supply of Disinformation Will Soon Be Infinite
Disinformation campaigns used to require a lot of human effort, but artificial intelligence will take them to a whole new level.
Someday soon, the reading public will miss the days when a bit of detective work could identify completely fictitious authors. Consider the case of “Alice Donovan.” In 2016, a freelance writer by that name emailed the editors of CounterPunch, a left-leaning independent media site, to pitch a story. Her Twitter profile identified her as a journalist. Over a period of 18 months, Donovan pitched CounterPunch regularly; the publication accepted a handful of her pieces, and a collection of left-leaning sites accepted others.
Then, in 2018, the editor of CounterPunch received a phone call from The Washington Post. A reporter there had obtained an FBI report suggesting that Alice Donovan was a “persona account”—a fictitious figure—created by the Main Directorate, the Russian military-intelligence agency commonly known as the GU. Read More
10 MLops platforms to manage the machine learning lifecycle
Machine learning lifecycle management systems rank and track your experiments over time, and sometimes integrate with deployment and monitoring
For most professional software developers, using application lifecycle management (ALM) is a given. Data scientists, many of whom do not have a software development background, often have not used lifecycle management for their machine learning models. That’s a problem that’s much easier to fix now than it was a few years ago, thanks to the advent of “MLops” environments and frameworks that support machine learning lifecycle management. Read More
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