Skip to content

>> ML

Cheat Sheet: MLOps

Here’s a baker’s dozen’s worth of targets who cover MLOps, where machine learning meets app development. You’ll see that we’ve rounded up the usual suspects, with a couple of exceptions.

Read More »

James Kotecki’s ML Podcast is On the Move

Tech podcaster James Kotecki, whom we’ve written about in the past, remains on the hunt for guests who can address interesting topics in AI. His weekly Machine Meets World podcast is produced by Infinia ML, producers of ML applications.

Read More »

YOUR ACCOUNT

FRIDGE NOTES

The Economist Asks, ‘How Much Would You Pay?’

A survey fielded Nov. 27 asked how much (or how little) subscribers would pay for The Economist’s subscriber-only podcasts and newsletters, as well as its digital edition and a digital-print bundle. The survey strategy is brilliant: what if the publication charges too much, or worse, too little? Clearly, the publication is contemplating pricing changes and wants to maximize revenue.

A New Investment Firm Invests, Then Writes About It

The FT has a cool scoop about Hunterbrook, a new kind of investment firm. Guided in part by former WSJ EIC Matt Murray, Hunterbrook’s business model is part investment firm, part publisher. The investment side of the house drives a (theoretically) market-moving business deal, while the publishing side of the house — comprised of veteran business reporters and analysts — works alongside under NDA. At the very moment the deal is announced, the editorial side publishes the article, moving the market and giving Hunterbrook first-mover advantage. It’s all legal. though leaks could pose a moral hazard.

Thanks For Nothing

When Google Bard was asked whether it could deliver a list of trade reporters along with their email addresses, it responded, “I’m a language model and don’t have the capacity to help with that.”

YOUR ACCOUNT

For subscriptions and other inquiries, please Contact Sam.