Big thank you to TechTalk Summits, sponsors/presenters IDC, Juniper Networks, and Chazey Partners - A QX Global Group Company, and all of the speakers for an informative high-level look at early impacts to business delivered by AI, and especially generative AI (GAI), in today's TechTalk Summit Austin - AI Impact presentation!
Interesting to see that there is coalescing agreement on ideas around how implementations should look (given the state of generative AI as of this time).
Largely the phases/steps/components are: (my oversimplification of presenters advocations)
1) Experimentation
2) Policy development
3) Change management (controlled implementation)
4) Relationship management with vendors/providers/suppliers
5) Impact management (re-skilling of employees, changes in hiring structure etc)
Risk management is also a key issue, as with all new, early technologies, including corporate data leakage, confidentiality with vendors, AI "screwups" (hallucinations, etc), unintended impacts, and legal ramifications.
One area that is unsurprisingly still hazy is "when" -- when is the right time to jump in? As with cloud, GAI is in nascent stages of its modern iterations, and early adopters risk the technologies (or things like regulatory requirements) changing in a way that damages the implementation. Those that wait too long could suffer opportunity cost losses, and/or fall behind competitors who find the porridge that is just the right temperature.
Thoughtful material for a Tuesday afternoon -- thanks to everyone involved!