Building Nexus between Policy & Tech in Governance of AI | Harvard social scientist, Kennedy School, IQSS, Davis & BKC | World Economic Forum | Thinkers50 | Professor, Hult Int'l Biz School | Adjunct, Georgetown & MBRSG
More than a year after the launch of #ChatGPT, companies are still facing the same question when they first considered the technology: How do they actually go about putting it into business use? Many companies have simply discovered that generative AI tools like LLMs, while impressive, aren’t plug and play. Companies should consider a few suggestions when thinking of whether and how to onboard these tools: 1) choose performance over novelty 2) combine GenAI with tools like vector databases 3) never forget the human-in-the-loop 4) trace your data, and 5) have realistic expectations Wanna know more? Our latest Harvard Business Review article is out and together with my co-authors, Terence Tse, PhD, Danny Goh and Paul Lee, we invite you to read, what we think will be a compelling work. Link here: https://lnkd.in/dBT9dEv4
Jordan D.
11mo
Not only are they not "plug and play" - the state-of-the-art in generative AI is still at "proof of concept" / demo level, at best. If it was actually good for anything, businesses would have figured out how to deploy and scale it.
Stuart G. Hall
11mo
It's good for startup marketing tasks.
Rida Bourji
11mo
I woud add one suggestion: rethink the whole user experience because of the transformative nature of this technology
Gestionnaire de projets principale multimodale soutenus par l’IA générative - Gestion du changement incluant refonte des processus et politiques corporatives centrés sur l’HUMAIN - Fluently bilingual
11moGreat and succinct insight for companies of all sizes. Mark and the rest of the authors - any objections if I translate en Francais for our Quebec based audience. Will share the original link and authors' full credits obviously:-) Cc: Claude Palmarini PMP, SAFe Agilist, AHPP - FYI only at the moment.