Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Elon Musk Predicts Artificial General Intelligence In 2 Years. Here’s Why That’s Hype
 Originally published in Forbes, April 10, 2024 When OpenAI’s...
Survey: Machine Learning Projects Still Routinely Fail to Deploy
 Originally published in KDnuggets. Eric Siegel highlights the chronic...
Three Best Practices for Unilever’s Global Analytics Initiatives
    This article from Morgan Vawter, Global Vice...
Getting Machine Learning Projects from Idea to Execution
 Originally published in Harvard Business Review Machine learning might...

Predictive Analytics

Calculating Customer Potential with Share of Wallet

 No question about it: We, as consumers have our favorites, and as a marketer, you would certainly hope that your establishment will be top of mind when shopping decisions are being made. The fact is that while a consumer might enjoy transacting with you, if they like your competitor somewhat more, you may be in

The AI Hype Cycle Is Distracting Companies

 Originally published in Harvard Business Review. Machine learning has an “AI” problem. With new breathtaking capabilities from generative AI released every several months — and AI hype escalating at an even higher rate — it’s high time...

Commercializing AI in Healthcare: The Enterprise Buyer Perspective

 Originally published in a16z.com, Oct 12, 2023. What do enterprise buyers in healthcare care about most when evaluating AI products? To answer that question, we interviewed leaders from many of the largest healthcare providers and insurers across...

Machines of Loving Understanding

 Originally published in Pete Warden’s Blog, Nov 11, 2022. I like to think (it has to be!) of a cybernetic ecology where we are free of our labors and joined back to nature, returned to our mammal...

Meta Plans AI-Powered Chatbots to Boost Social Media Numbers

 Originally published in Ars Technica, Aug 1, 2023.   Amid competition from TikTok, Meta looks to the next frontier of user engagement. Meta is reportedly developing a range of AI-powered chatbots with different personalities, a move aimed at...

Don’t Let Yourself Be Fooled By Data Drift

 Originally published in NannyML, May 31, 2023. If you search for information on ML monitoring online, there is a good chance that you’ll come across various monitoring approaches advocating for putting data drift at the center of...

Introducing Speech-to-Text, Text-to-Speech, and More for 1,100+ Languages

 Originally published in Meta AI, May 22, 2023. Equipping machines with the ability to recognize and produce speech can make information accessible to many more people, including those who rely entirely on voice to access information. However,...

MLW Preview Video: Praneet Dutta, Senior Research Engineer at DeepMind

 In anticipation of his upcoming presentation at Deep Learning World, part of Machine Learning Week Las Vegas, June 18-22, 2023, Praneet Dutta, Senior Research Engineer at Google DeepMind, provided a brief video overview of his Deep Learning...

Bloomberg Plans to Integrate GPT-Style A.I. Into Its Terminal

 Originally published in CNBC, April 13, 2023.  Bloomberg LP has developed an AI model using the same underlying technology as OpenAI’s GPT, and plans to integrate it into features delivered through its terminal software, a company official...

JPMorgan Chase Uses a ChatGPT AI-Like Model to Decipher Trading Signals

 Originally published in Interesting Engineering, April 28, 2023. The AI model analyzed speeches from the U.S. Federal Reserve from the past 25 years to determine the nature of policy signals and gain a trading advantage. Analysts at...

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