Michael Karasick
Former VP of Innovation, IBM Watson · 1 appearance on the record.
computed by AI from the episodes · how this works → · full disclaimer →
executivescientistengineer
Michael Karasick is a computer scientist and longtime IBM research leader who directed global research labs and oversaw innovation and R&D for IBM Watson. He holds a Ph.D. in computer science from McGill University and published extensively in solid modeling, pervasive computing, and conversational AI systems.
1 supported 1 partly supported 0 contradicted 3 not checkable as stated how the 5 claims stand · each chip opens the sources
5 assertions · 1 insight · 3 disclosures · every statement was checked. The predictions and assertions are the 5 claims: statements the public record can support or contradict. 2 are resolved, and 3 name no date, number or outcome precise enough to check. Everything else (opinions, insights, what ifs, disclosures) can never be settled by the record, so it carries no assessment.
The record, in short
What the tape says about how Michael argues and how the claims held up. Everything they said, and everything said about them, is in the tabs below.
Expressed certainty vs assessment result
weighted support: a fully supported claim counts one, a partly supported claim counts half. Each filled bar is clickable and opens exactly those claims; "none yet" means nothing said at that certainty level has resolved yet
How they sound: speaking style how? →
234 words/min while actually speaking · 85.2 um and uh per 1k words
No argument clarity score for Michael Karasick: only 2 usable question→answer exchanges on raw tape (a fair score needs 8+). We do not score a sample that small. Roundtable and news formats yield far fewer direct exchanges than interviews.
Measured by listening to the audio itself: 3,261 words across 1 episode of raw-level tape, transcribed verbatim with every um and uh kept, each one attributed only where the alignment onto our timed stream is unambiguous. These are measurements of speaking style. We do not rank them: across this corpus, fluency and argument quality are nearly uncorrelated (ρ≈0.2), and smooth talking does not signal clear thinking. How it's measured →
Everything Michael Karasick said on the MAD Podcast that made the record, most notable first. Filter by type, assessment or year in the ledger →
Appearances (1)
| Episode | Date | Speaking time |
|---|---|---|
| Michael Karasick, IBM Watson // Data Driven #33 // Jan 2015 (Hosted by FirstMark Capital) | Jan 15, 2015 | 17m |