Ginnie.ai is designed to create thousands of AI (artificial intelligence) generated written product descriptions in a matter of minutes, according to Isaac Wanzama, founder, Geekspeak and developer of Ginnie.ai.
Simply manually input a product’s attributes and the solution uses AI (artificial intelligence) generated writing to return a robust product description.
“Ginnie saves time and money for retailers who would normally spend thousands of dollars on copywriters,” Wanzama says. “Our software provides customized, enriched — and always unique — content for all of the products in a seller’s catalogue.”
In other AI-generated writing news:
*OpenAI Releases New Version of GPT-2: While the revised version of the AI-generated writing tool is more robust, it’s still no panacea, according to ZDNet.
“Unfortunately, this new code is not that much more impressive,” observes ZDNet reviewer Tiernan Ray. “The occasional flash of brilliance is mixed in with a lot of gibberish and the creations quickly become tiresome.”
Notably, OpenAI has not released the most robost version of GPT-2, which relies on 1.5 billion parameters to generate automated writing. The reason: OpenAI fears it would be too easy to generate fake news with the premium version of the software.
*An In-Depth Look at AI Newsletter Solution by Rasa.io: In this Q&A, Marketing AI Institute examines Rasa.io, an AI-generated newsletter service.
One of its key features is its ability to crawl the Web for content from hundreds of news sources and auto-populate select articles into individualized emails for customers.
Articles chosen for each customer are based on customer behavior, preferences, and AI insights gathered from customers with similar profiles.
*Grammarly Named a Top Ten Innovative Company in AI: The writing tool — which relies on AI for grammar checking, plagiarism detection and spell checking — was recognized as a top ten player in AI by Fast Company.
*New AI-Generated Journalism Blog from Think Tank: Journalism AI, an initiative designed to foster AI literacy in newsrooms, has a new blog.
“Watch this space for regular updates on Journalism AI in the next weeks and months,” says Mattia Peretti, the blog’s author. Peretti manages the project, which is squired by the London School of Economics and Political Science and funded by the Google News Initiative.
*Publishers Need to Embrace AI-Generated Writing to Remain Profitable: “By implementing AI to handle repetitive tasks and matter-of-fact stories, editors and journalists can focus more on creative content and developing the in-depth stories that their readers are looking for,” according to Cosmine Ene, CEO, LaterPay.
*Salesforce Customizing Analytics for Specific Industries: The company just released Einstein Analytics for Financial Services, a data analysis program that features AI-generated writing of analytics reports.
“The biggest trend we’re seeing is that analytics is moving away from being a back-office function — this required sending a request to a data analyst and waiting days or even weeks for a report that was then outdated,” says Ketan Karkhanis, general manager, Salesforce Einstein Analytics.
“That was the case for decades. The reason that Einstein Analytics Plus is so widely adopted is that it embeds easy-to-generate, actionable insights (AI-generated written reports and data visualizations) right where people work.”
The company offers in-depth tutorials for users looking to get acquainted with its AI-generated analytics.
*Why Humans Dust AI-Generated Writing When it Comes To Creativity: “AI can analyze data, look at what worked and what didn’t in the past, and then make competent decisions at a speed and scale that can revolutionize the communications industry,” observes Peter Zandan, global vice chairman, Hill + Knowlton Strategies.
“But AI can’t adapt to evolving priorities like you can when emotions inform your choices.”
–Joe Dysart is a tech journalist with 20+ years experience. His work has appeared in 150+ publications, including The New York Times and the Financial Times of London.