Workday Brief - 3/7/2025
- Scott Davis
- Mar 7
- 2 min read
Music:
Articles:
Publicis to Acquire Lotame - What the Deal Means for it's AI Strategy by Brian Bonilla, March 6, 2025
Superagency in the workplace: Empowering people to unlock AI's full potential by Hannah Mayer, Lareina Yee, Michael Chui, Roger Roberts, January 28, 2025
What are the various types of reasoning that AI models use today by Grok, March 7, 2025
Google CTR Study: AI Overviews Rise as Click Rates Decline by Matt G. Southern, March 6, 2025
Why modern ABX is the future of enterprise GTM by Steve Armenti, March 6, 2025
Real-Time Customer Data Platform Collaboration - radically simple and efficient data collaboration for brands, agencies, and publishers by Ali Nazer, February 20, 2025
Why Most Projects Fail And How You Can Avoid the Same Fate! by Project Management, March 7, 2025
Worthwhile:
Blink:
The Success Principles offers practical and detailed principles to help anyone lead a more successful and fulfilling life. Author Jack Canfield draws upon stories and anecdotes from people who have achieved ambitious goals and experienced what it’s like to be highly successful.
About the author
Jack Canfield is a best-selling author and success coach. He co-founded the inspirational book series, Chicken Soup for the Soul, 40 of which have become The New York Times best sellers. He is the author of Dare to Win and The Aladdin Factor, a keynote speaker and highly respected corporate trainer.
Term of the Day:
"Token" in the context of AI, refers to a unit of text that an AI model processes during tasks such as understanding, generating, or analyzing language. Tokens are typically words, parts of words, or punctuation marks that the model breaks down from input text to work with it efficiently. More on this here
"Inference" in the context of AI, refers to the process of using a trained machine learning model to make predictions, decisions, or generate outputs based on new input data. It's the 'thinking' or 'reasoning' phase that happens after a model has been trained on a dataset. During inference, the model applies what it has learned to interpret or analyze unseen data - whether that's classifying an image, translating text, or generating responses to questions. More on this and it's relation to tokens here.
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