Brian Doherty (@bdoherty2) header
Brian Doherty (@bdoherty2) profile picture

Senior Director Analyst at #Gartner covering #ProductManagement #CPaaS #MeetingSolutions and more. Tweets are my own. Bluesky: @brianrdoherty.bsky.social

Allen, Texas
Joined February 2009
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Brian Doherty retweeted
An interesting line in Politico’s coverage of the proposed AI executive order, which, at 16 pages, is also much longer than expected. This is still under discussion and not yet finalized, and everything I'm about to write is conjecture, but it appears the administration intends to regulate US open-weight models. Here are the reasons why this will almost certainly happen in some form. Open-weight models are currently about nine months behind the frontier. Once the big labs are subjected to pre-release screening, development itself will not slow down, but the release cadence will. At that point, open-weight development will quickly close the gap - much faster than nine months. When those models surpass the big labs, everyone will switch to using open-weight alternatives. From the administration’s perspective, allowing this option defeats the entire purpose of regulation. If the government is restricting and vetting models beyond a certain capability level, and people can simply switch to open-weight models that are just as capable - and eventually even more capable as the big labs slow down their release schedules under the new rules - then the situation becomes even worse from the government's perspective. They will not allow this to happen. Second, the big labs themselves have almost certainly been covertly lobbying for open-weight models to be included in any new regulations. Allowing the public to switch to a superior, free alternative would completely destroy their business models, potentially bankrupting them all. Given the enormous scale of current investment in these companies and in AI infrastructure, the broader economy would also suffer "significant disruption". That leaves China. If the two dynamics above play out, the same pattern repeats: everyone switches to Chinese open-weight models, which now quickly surpass both US closed and open releases. This produces the same consequences for the big labs, and causes the same issues with regulation. The government therefore has only two realistic options: ban Chinese models from use in the West, or negotiate a deal with Xi Jinping to impose identical regulation and pre-release vetting on open-weight models in China. The first option would mean China pulls ahead and wins the AI race. So the administration will almost certainly pursue the second. Negotiations are likely already underway, because the ideal outcome for the admin would be to announce that China has agreed to similar restrictions to what they are announcing, thereby blunting domestic backlash. China will know it has the US over a barrel and will insist on compromises. Compromises such as lifting all export controls on NVIDIA GPUs.
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Brian Doherty retweeted
I think this was a really bad year for American politics, a mediocre year for the American economy, and an exceptional year for America. In 12 months, you’ve got - the largest decline in murder rate ever recorded - huge declines in traffic fatalities, drug overdoses, and suicide - first ever personalized gene editing treatment and breakthroughs in HIV and cancer therapy - continued advances in GLP1 technology that seems to reduce weight and inflammation and a bunch of other stuff - declines in teen anxiety and despair - surge in self-driving car technology* - all this happened in a period when both the SP500 and inflation adjusted median wages hit record highs
Baltimore will be ending the year with the lowest number of homicides in DECADES. We know that this work isn't finished yet. We have a long way to go. But this is real progress.
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Happy New Year everyone, and welcome back to work! I am pleased to announce the publication of our newest #Gartner #GartnerHT report (gartner.com/document-reader/…) detailing a #MarketConvergence emerging combining features from #CCaaS, #CPaaS, digital customer service or #DCS, and
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This report is targeted at product management leaders for vendors in each space, helping them understand how they can compete uniquely, where they are uniquely weak, and what they need to build to succeed. I hope you all find it useful!
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And, if it doesn't answer all your questions, don't hesitate to reach out and schedule an inquiry to discuss what we're seeing. Thanks to my illustrious co-authors @APatankar1, @LFarboud, Megan Fernandez, and @aoddos for their help putting this together! gartner.com/document-reader/…
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every time i am in the poor villages of this globe i am reminded of one important fact true absolute poverty is hateful to the human soul, a terrible oppression from which people almost uniformly yearn to be liberated with genuine desperation.
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#ProductLeaders in the #DigitalExperience space! Are you struggling to size the market opportunity for your actual or proposed #DXP offering? Kelli Smith and I have written this handy note for #GartnerHT explaining how to do so. gartner.com/document-reader/… #IT #ProductManagers
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How are new emerging technologies affecting data management ? They're driving empowerment and democratization to business teams through decentralization. Find out more in this new report by Sharat Menon! #Gartner #GartnerHT #DataManagement gartner.com/document/5653623…
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What differentiates #PortfolioManagement in growth orgs? Treating the needs of the customer as paramount for every product. What does this mean for you as a #CPO or just a #ProductManager ? Find out more in our latest #Gartner report: gartner.com/document/5539595
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I didn't even know he produced it! One of my all time favorites. – at Allen, TX
There is an insane amount of Steve Albini recordings you could highlight, but the fact that him and Jason Molina got this in the first take will always be his peak to me. open.spotify.com/track/5Plx6…
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Are you meeting the needs of your #DevOps platform users? #Gartner Product Decisions highlights key opportunities in regulatory compliance, internal development platforms, and application security. #GartnerHT gartner.com/document/code/79…
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Organizations have struggled to deploy #GenAI externally, because it may hallucinate a promise they must keep, like an unwarranted discount. The architecture shown in this case study is key to unlocking this use case. #GartnerHT clients can read more at gartner.com/document/5333363 .
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I am very pleased to announce my promotion to Vice President Analyst at #Gartner.
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Brian Doherty retweeted
Live from #GartnerTGI, Gartner expert Suzanne White shares how to develop a more focused target segmentation strategy and workflows through predictive AI tools to accelerate marketing program objectives. Learn more: gtnr.it/494E3pZ #GartnerHT xitter.gq/i/broadcasts/1dRKZEPne…
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Brian Doherty retweeted
The first building block for efficiently nurturing new buying: Augmented #digital. Gartner expert Eric Trenk explains ⬇️ Learn which best practices, capabilities and emerging tech drive results across #TechMarketing at #GartnerTGI: gtnr.it/3STtdhK #GartnerHT #HighTech
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Brian Doherty retweeted
According to #GartnerHT research, customers want content to be personalized for them. Learn effective strategies and insights into how to retain your customers and attract more new buyers at #GartnerTGI: gtnr.it/49roUje #HighTech #HT #TechMarketing
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