Free Tool: See if Auto-Reports Work for You

AI-generated writing pioneer Yseop has rolled-out a new, free tool that can determine if automated business reports make sense for your business.

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Essentially, the software, dubbed Alix, analyzes a typical report currently generated by your business intelligence software — and offers feedback on how much of it Yseop can automate for you.

You can check-out the tool for yourself at Yseop (scroll down to access the tool).

Yseop recently snagged a best-in-class award for another one of its tools — Augmented Financial Analyst — which automates the writing of financial reports.

The artificial intelligence solution enables finance pros to create auto-generated reports without writing any computer code.

Plus, it can be tweaked to write that report using the writing style of a specific, human analyst.

According to Yseop’s press release, “With Yseop’s revolutionary and patented ‘intentions’ model that mimics financial analysts’ thinking, business users with no coding skills can accurately produce complex financial reports faster.

“AFA (Automated Financial Analyst) integrates data exploration and alerts to highlight key variations and values, allowing business users to quickly identify and examine specific events while providing valuable contextual elements.”

(For an in-depth look at the trend in auto-generated company reports, check-out “Company Reports That Write Themselves,” by Joe Dysart. )

*In-Depth Review: Article Forge: MyWPLife offers a deep dive into the workings of AI-article generator Article Forge in this piece.

The AI tool runs on the GPT-3 auto-text generator, a supercomputer-based system that is good for generating short text — but not so accomplished at generating longer-form articles.

Essentially, AI tools using the GPT-3 auto-text generator at this point tend to render longer-form articles exhibiting questionable logic, incongruent phrasing and occasional errors-of-fact.

Translation: Ensure Article Forge generates the article lengths you’re looking for before parting with any cash.

Nevertheless, the tool is a ‘must monitor.’

The reason? Article Forge it is capable of publishing AI-generated text directly to a WordPress blog.

That will be a powerful combination as Article Forge hopefully evolves and is able to automatically publish longer, reliable blog posts at will.

*AI-Generated Writing Ace Offers Free Tutorial: AI savvy copywriter Suzette Bailey offers an in-depth look at using AI to generate writing in this 26-minute podcast.

Key insights Bailey shares includes how AI can be used to:

*Write professional quality copy in seconds

*Write Facebook posts, LinkedIn posts, emailers and more

*Leverage keywords to get the exact copy you need

One caveat: So far, AI auto-text generators using GPT-3 like writing engines have been best for auto-creating short copy.

On longer-form copy — such as articles — the GPT-3 writing engine and its imitators have a much tougher time coming up with copy that reads logically, interestingly and is free of error.

*Writing Style Governor Snags $7.5 Million in Funding: Venture capital funding keeps finding its way to AI-driven writer style governors.

This time around, the lucky recipient is LitLingo, which snagged $7.5 million in funding.

Writing style governors are increasingly being used by companies to standardize the way employees write contracts, marketing copy — even emails.

The idea is for tools like LitLingo to analyze employee writing as it hits the computer screen, suggesting alternative phrasing for writing that conflicts with company branding, writing that negates company marketing claims — or writing that could get a company in legal hot water.

LitLingo specifically identifies problematic language in employee communications in real-time by flagging risky or non-compliant language before the message is sent, according to LitLingo CEO Kevin Brinig.

While users are busy writing, algorithms are work behind the scenes, recalibrating any mishaps in the messaging and helping them to avoid risky conversations, Brinig adds.

*Zoom Angling to Add Real-Time LanguageTranslation: The video meeting tool that kept many of us sane during the deepest throes of the Coronavirus is looking to add real-time translation to its mix.

Providing the machine translation chops for Zoom will be Kites, a German startup.

Observes Ron Miller, a writer for Tech Crunch: “The companies did not share the terms of the deal, but with Kites, the company gets a team of top researchers.”

*Automated Customer Sentiment Reports Get a Boost: AI-automated report generator Wonderflow is turning heads at businesses looking to mine automated reports from customer sentiment.

Essentially, the tool automatically sifts through customer sentiment captured from online reviews, support center recordings and similar customer gauging tools.

Then it analyzes all that sentiment to auto-generate trend reports on how a company is doing with its customers.

Observes Kyle Wiggers, a writer for VentureBeat: “On average, Wonderflow says its VoC analysis covers 100 to 150 topics for product categories, organized in a hierarchy.

“For each topic, after data cleansing and de-duplication steps, its AI determines customer feedback sentiment on a 3-level scale: positive, negative, or neutral.

“Wonderflow claims that for most consumer goods verticals, it can achieve 82% sentiment analysis accuracy.”

Wonderflow recently brought in $20 million in new funding with the help of Klass Capital.

*AI Translation: How Good Is It Really?: Machine translation firm Custom.MT has released a new report finding that an average 13% of text translated by AI needs to be turned over to a human for final editing.

The best score achieved in the company’s analysis of 150+ machine translation systems was a tool used to create software manuals in the Brazilian Portuguese language: Only 1.6% of the text produced by the tool needed to be human-edited.

You can check-out Custom.MT’s full report on the Web.

*AI Pioneer Aims to Automate Documents Needed for FDA Approval: AI-firm Narrativa has partnered with a pharmaceutical firm to increase the footprint of writing generated by artificial intelligence in pharma.

The company — along with pharma firm InteliNotion — will focus on helping automate the critical documentation needed to secure approval of new drugs from the U.S. Federal Drug Administration.

Observes Narrativa in a press release: ” Our artificial intelligence writing assistant uses advanced NLG (natural language generation) to run through millions of data points from clinical trials generating readable and comprehensible written medical narratives.”

Those reports are generally more accurate than human-written reports, according to the press release.

And the AI also drastically reduces the time and cost to create those demandingly precise regulatory documents.

*The AI Lyricists Are at it Again: A California-based team of musicians and AI enthusiasts have won the Eurovision Song Contest.

Their tune — “Listen to Your Body Choir” — features lyrics written by AI that are generated by a system developed in part by analyzing massive amounts of music data — including patterns, drumbeats, melodies, chord sequences, lyrics and vocals — according to Malcom Jack, a writer for The New York Times.

Alas, a mere human was tasked to sing the AI-composed tune.

The reason: the creative team concluded the AI’s own voice sounded too robotic.

AI music aficionados last made headlines in April when Rolling Stone reported on a group that forged a new song in the style of Nirvana.

Dubbing their tune, “Drowned in the Sun,” the creators relied on Google Magenta to lay down the beat, rhythm and melody of the song.

And they turned to other AI software to come-up with song lyrics.

The result: A catchy, Nirvana-like offering – sung by a Kurt Cobain impersonator — that sounds authentic to the casual listener.

The creators – Over the Bridge, a mental health organization – are the first to admit they had AI help from human beings.

Specifically, humans edited down the raw music and lyrics churned-out by AI to create a final production.

Even so, “Drowned in the Sun” offers an early listen to AI’s increasing involvement in music production.

In fact, AI has been inspiring music lovers to create automated music for a number of years now.

YouTuber ‘Funk Turkey,’ for example, had some fun last year using AI to generate lyrics for an AC/DC knock-off tune.

“I put the lyrics of AC/DC into a bot and asked it to write a song,” Funk Turkey says.

The title of AI’s AC/DC-aided lunge at rock-and-roll fame?

“Big Balls,” of course.

Meanwhile, music Web site Lyrics.rip has dabbled in AI-generated music with its own knock-off of Metallica.

Specifically, Lyrics.rip fed the entire catalog of Metallica’s lyrics into an AI-text generator and in industry jargon, ‘let-it-rip.’

The result: a song entitled “Deliverance Rides.”

The AI-generated tune features endearing verses like, “Curses rest on our brains / No, there’s an evil feeling in vain / I can’t believe I stand alone / Beast under wicked sky.”

Music accompaniment to the wide-eyed rants was written by a flesh-and-blood collaborator.

And over at Georgia Tech, AI researchers unleashed Shimon on the world in 2020 – a ‘singing’ robot that uses lyrics composed by AI.

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The mechanized crooner — who is often backed-up by human musicians — was ready to tour in early 2020, but had to put the kibosh on dreams of stardom when Coronavirus hit.

*Upclose:  LawDroid-Auto Doc Creator:  Tom Mos, founder, LawDroid, offers an 8-minute walkthrough video on his company’s product, which helps automate the production of legal documents.

The system uses a template questionnaire, which ingests your answers to its questions.

That data is subsequently used by LawDroid to generate a document, email or other text you’re looking to send on the topic.

Share a Link:  Please consider sharing a link to https://RobotWritersAI.com from your blog, social media post, publication or emails. More links leading to RobotWritersAI.com helps everyone interested in AI-generated writing.

Grammarly
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Joe Dysart is editor of RobotWritersAI.com and 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.

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