Data science
fromMarTech
1 week agoHow NotebookLM turns marketing docs into usable insights | MarTech
AI tools like NotebookLM transform static marketing documents into interactive knowledge bases for better insights and exploration.
Set in 1971, it casts you as a private detective tasked by a mysterious figure with tracing down various Nazi war criminals who escaped justice. Living new lives under assumed names, as was very much the case in reality, these senior members of Hitler's regime are now dentists, wine merchants, perhaps even senior members of South American police forces, and with the scant documentation you're handed, you need to find them.
All of these business execs worked in very different spheres, but their sudden departures can be traced back to the same point of origin: their names cropped up again and again in the Department of Justice's (DOJ) latest trove of Epstein files, released in late January. Over the past few weeks, many prominent figures have stepped down from their high-profile positions amid growing scrutiny over their relationships with the convicted sex offender Jeffrey Epstein.
The promise of AI is its ability to sift through massive amounts of information presented in any format (audio, video, text, images, etc.) to help reporters pinpoint what warrants a closer look. Take the Epstein files. A few years ago, a drop of 23,000 documents would have been considered flooding the zone because it would have taken journalists a long time to identify what was newsworthy. AI has changed that equation.
Imagine a day focused on strategic, meaningful legal work instead of tedious, manual tasks. In this guide from our friends at Litify, you can move past the hype and explore the practical ways to use AI throughout your workflow, from intake to billing. Whether itʼs analyzing documents to identify the most important information or leveraging data to determine the next best step, legal AI can help unleash your full potential.
The Connecticut Mirror's new artificial intelligence data reporter and product developer is trying to figure out how to tell stories that were previously impossible because of the volume of documents or deadline pressure. In Connecticut, where news is often made in municipal meetings, the nonprofit's beat reporters can't make it to all 169 different towns, Eichhorst said. One of her goals is to generate leads and get material from those meetings to reporters using AI tools.