{"id":350603,"date":"2024-11-07T09:26:43","date_gmt":"2024-11-07T14:26:43","guid":{"rendered":"https:\/\/chiefexecutive.net\/?p=350603"},"modified":"2024-11-07T10:37:43","modified_gmt":"2024-11-07T15:37:43","slug":"ai-confidential-notes-from-an-off-the-record-ai-expert-roundtable","status":"publish","type":"post","link":"https:\/\/chiefexecutive.net\/ai-confidential-notes-from-an-off-the-record-ai-expert-roundtable\/","title":{"rendered":"AI Confidential: Notes From An Off-The-Record AI Expert Roundtable"},"content":{"rendered":"

If you want to get past a lot of the hype around generative AI, here\u2019s a trick: Get a bunch of really, really smart folks who have been spending most of the last few years wrangling with it. Put them in a room, close the door and tell them that we\u2019re all going to talk\/vent about their experiences and none of what they say will be attributed to them.<\/p>\n

You\u2019ll be astounded at what you hear\u2014at least I was when we pulled together exactly this kind of group at our recent Chief Executive of the Year pre-gala festivities. Who was in the room? Can\u2019t say exactly as I promised anonymity in exchange for true candor (I will say Lisa Su from AMD, our CEO of the Year, was not there). What I can say is that the group included working CEOs in various industries and company sizes who were deep into AI rollouts or had it as a central part of their operations already, as well as advisors and consultants focused on AI from some sizable, name-brand firms.<\/p>\n

Once behind that door and shield of anonymity, they were quickly game for sharing some opinions about the technology that their titles and companies would likely not have allowed them to utter publicly\u2014or at least not comfortably.<\/p>\n

For the sake of brevity and utility, I\u2019ve boiled the conversation down to some key takeaways, I hope you find them useful\u2014or at least provocative\u2014as you dig into your AI journey. Maybe they will resonate. They may not surprise you:<\/p>\n

\u2022 The small opportunity.<\/strong> The consultants and AI CEOs in the room all expressed some frustration that their clients and customers invariably looked at generative AI primarily for productivity and cost cutting. Most agreed that \u201cproductivity and cost cutting\u201d were among the least interesting things you could do with generative AI.<\/p>\n

\u2022 The big opportunity.<\/strong> Not enough clients were using it to think about \u201cthe big problems\u201d and imagine whole new business opportunities and models that weren\u2019t there before.<\/p>\n

\u2022 Public data is a problem.<\/strong> Data, of course, is the lifeblood of AI. But too many companies are trying to put the generative AI engines that are trained on public data (aka: the whole Internet) to work on real business problems\u2014and getting ulcers as a result. Because the \u201cbig models\u201d are fed the whole Internet, and the Internet is filled with so much garbage, what you get will invariably be unreliable and hallucination-filled (ie: the Cow Egg vs. Chicken Egg problem<\/a>). That may not ever change.<\/p>\n

\u2022 Your data is the play.<\/strong> Instead, everyone in the room agreed that the better play was creating \u201cclosed systems\u201d based on smaller, more directed AI models trained on vetted, clean, tremendously accurate, proprietary data.<\/p>\n

\u2022 Redefine AI \u201cproductivity.\u201d<\/strong>\u00a0As a result, you face a choice on to spend your AI resources\/money: Cleaning up \u201cslop\u201d and error created by the big public models after the fact, to insure quality as you also try to ramp productivity or spend dear at the beginning to build your own expensive proprietary closed systems that may actually generate more useful, original insights and products.<\/p>\n

\u2022 Don\u2019t focus on the \u201cchat\u201d interface.<\/strong> Chat, they reminded was\/is only one way of engaging with generative AI, but its ease of use and its accessibility has already narrowed executive thinking. The little prompt window is too often the proverbial hammer that turns all problems into nails, and lures you into missing big opportunities as your teams seek \u201cthe perfect prompt\u201d to do something.<\/p>\n

\u2022 Rigorous vetting for now.<\/strong> No matter what you\u2019re doing with generative AI, from drug discovery to marketing copy, you have to review what it is doing very, very closely, and likely will for a lot longer than most experts are now letting on. The way to go is to build a framework\/process for doing so at the same time as you\u2019re bringing it online in your shop, so it scales with your efforts.<\/p>\n

\u2022 A great win right away.<\/strong> While everyone knows or has learned that generative AI is good at writing code, one tech CEO said his big win\u2014and one lots of other CEOs should tune into but haven\u2019t yet\u2014is how great AI is at re-doing OLD CODE to retire tech debt and update systems far faster than humans. Build a small team, have them dive in.<\/p>\n

\u2022 Artificial general intelligence?<\/strong> This is potentially either the biggest nightmare or most thrilling achievement in human history. And the folks in the room\u2014including at least a couple folks with PhDs in computer science and machine learning\u2014couldn\u2019t and didn\u2019t agree on when, how or even if it would ever come about. But it was fun to watch them argue about it since this topic almost never comes up anymore at most business gatherings.<\/p>\n

For me, the most startling thing to come out of the conversation was how much bigger some of those in in the room thought the societal impact would likely be than anyone in politics or business is now discussing publicly\u2014and how much faster the change might arrive. For a topic that has not\u2014as far as I can tell\u2014ever come up in this election cycle, those in the room thought it would lead to very large-scale job losses and socioeconomic displacement within the decade.<\/p>\n

One AI company CEO focused on backstopping retail said he actually had to downplay how much better his tools were than his clients\u2019 employees at most commonplace efforts\u2014to keep from unnerving them. He said he had to keep telling the workers that the AI was just a humble, obedient servant that was not going to replace them, when the truth is that it was already starting to do exactly that.<\/p>\n","protected":false},"excerpt":{"rendered":"

What\u2019s the real skinny on generative AI? We got some smart people in a room, turned off the tape recorders and asked them. Here\u2019s a bit of what they had to say.<\/p>\n","protected":false},"author":3405,"featured_media":320862,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_oasis_is_in_workflow":0,"_oasis_original":0,"_relevanssi_hide_post":"","_relevanssi_hide_content":"","_relevanssi_pin_for_all":"","_relevanssi_pin_keywords":"","_relevanssi_unpin_keywords":"","_relevanssi_related_keywords":"","_relevanssi_related_include_ids":"","_relevanssi_related_exclude_ids":"","_relevanssi_related_no_append":"","_relevanssi_related_not_related":"","_relevanssi_related_posts":"","_relevanssi_noindex_reason":"","footnotes":"","_links_to":"","_links_to_target":""},"categories":[57295,5],"tags":[57692],"class_list":["post-350603","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence-ai","category-technology","tag-featured"],"acf":[],"yoast_head":"\nAI Confidential: Notes From An Off-The-Record AI Expert Roundtable<\/title>\n<meta name=\"description\" content=\"What\u2019s the real skinny on generative AI? 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