The Exchanges

Every argument clarity score on this site is built from rows on this page. Each question and answer was assessed with names hidden, the host's own answers included, on four things from 1 to 5: directness (does it answer the question asked), coherence (do the ideas follow), precision (concrete details and clear references), compression (says a lot per word). The weighted mix (30/30/25/15) is the exchange score. A person's published score averages their exchange scores on raw tape only, at least 8 of them, shrunk toward the cohort mean. Full method →

Mike Matchett no published score: only 1 usable exchange on raw tape, and a fair score needs 8+ record → ← everyone

Every exchange below was scored with names hidden, four dimensions each from 1 to 5. An exchange's score is 0.30·directness + 0.30·coherence + 0.25·precision + 0.15·compression. The published score averages the raw tape exchange scores and shrinks small samples toward the cohort mean, so five great answers can't beat twenty good ones. Produced feed rows count only toward coarse estimates, never toward a full score.

clear all ✕
1exchanges match
1on raw tape
0redirected or not addressed
Answered raw tape D 5 · C 5 · P 4 · Cm 4 4.60

Q Is this something we're seeing beyond one company? Like what's sort of the broad industry level view of all this?

A There's certainly a big need for unifying storage today. Most organizations have a hodgepodge, a, a, an organically grown set of state of storage systems and applications stretching all the way back to their mainframes. There's an awful lot of mainframes still out there, believe it or not. And when we look at what a company's real assets are today, oftentimes, as I think, again, Peter's pointing out, it's in the data that they have, but the data collectively and in aggregate, in order to be able to analyze it and make predictions out of it, you want a cohesive whole. So solutions that can bring all that data together in an integrated analysis and, and support actually, uh, pipelines of Of, of, of prediction and feedback loops of analytics and visualization and, and really tighten the knot, if you will, are going to be extremely valuable. And those that can leverage the existing infrastructure and the existing data stores without upsetting the apple cart are the ones that are going to be adopted.

AI assessment note: “There's certainly a big need for unifying storage today. Most organizations have a hodgepodge”

page 1
Made with StarZero

Turn any episode into a week of clips.

This entire site, over 1,000 episodes transcribed, diarized, checked and made playable, runs on the StarZero media pipeline. Drop in your own episode and the podcast clipper finds the moments worth sharing, cuts them, captions them, and reframes them for every feed.