𝐌𝐢𝐧𝐝 𝐭𝐡𝐞 𝐠𝐚𝐩 – 𝐀𝐈 𝐝𝐞𝐦𝐨𝐬 𝐯𝐬 𝐫𝐞𝐚𝐥-𝐥𝐢𝐟𝐞

👉🏽 Common development culture in the last few years is fast deployment and changes.

👉🏽 Common behavioral pattern in a software sales cycle is to present features that are not yet mature.

👉🏽 Common issue with AI based solutions is that they are tightly bonded to data and need adoption to the client’s data either by finetuning, by prompt engineering or by both.

👉🏽 This leads to a gap between expectations and reality even if we don’t account for demos that are made specifically to entice audiences, or get a feel for the market, with only a concept behind. as an example, see Kawasaki’s CORELO robot CGI presentation here:

https://lnkd.in/egxeKvcd

👉🏽 Dealing with that gap, calls for both a robust POC and representative training dataset that will assure compliance of the proposed solution.

Sometimes building an anonymized organizational dataset, and an open POC environment available to vendors as a gating in the selling process, will make sure that the purchasing process is better and faster.