Founder of DATAcated | O’Reilly Author | LinkedIn Learning Instructor

United States
Kate Strachnyi ('DATAcated') retweeted
Been going to Dreamforce since ... yikes ... 2006 Must say, since then, I've done a lot, founded a few, invested in some good ones, build some cool agent But still brought a smile to be featured at reg ;)
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One of the coolest experiences from me this year at #dreamforce26 was being interviewed on @salesforce + hosted by Cary Chow - you can watch it here: salesforce.com/plus/experien… #salesforcepartner @Dreamforce We talked about the power of DATA for winning in the Al era! @CaryChow_
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Kate Strachnyi ('DATAcated') retweeted
JUST ME AND MATTHEW MCCONAUGHEY. IM DEFINITELY NOT FREAKING OUT OR ANYTHING. See you all at Dreamforce 🫡
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It’s @JensenHuang AND @Benioff !!!! @salesforce @Dreamforce - love the conversation around the importance of AI safety and pacing #salesforcepartner
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Let’s goooooo #dreamforce26 @salesforce time to blaze your trail 🎊
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Kate Strachnyi ('DATAcated') retweeted
Is experience a feature of your business or is it the business? In the AI era, experience management is moving beyond dashboards and surveys. The opportunity is to turn customer and employee signals into governed, real-time action before friction becomes churn. In my conversation with @Jasonmaynard, CEO of @Qualtrics, we explored why AI without context is fast but blind, why NPS is a signal rather than the goal, and why the trusted business outcome is higher customer lifetime value. The leaders who win will connect experience data, operational context, AI, and governance across silos to improve the moments that matter. Watch the full conversation with Jason Maynard → piped.video/w-OjimaL-vg Watch Jason’s keynote replay → bit.ly/4r2Qj4Q #TheFutureofXM #QualtricsPartner #CX
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I have never used a tool that has helped me as much as @claudeai in my entire career. Thanks #Claude :)
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Adopting AI and adopting a cat are THE SAME. Do your research, start small, expect weird behavior, and get the environment right first. Garbage in, garbage out applies to BOTH, except with a cat the bad outputs actually smell. Meet Teddy, our newest pilot program.
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Kate Strachnyi ('DATAcated') retweeted
Amodei says Anthropic never pushed to ban open weights, and lists what actually worries him: chips reaching China, distillation, models shipping globally with no safety testing. AWS signed the letter with caveats. Open weights are what let enterprises keep a model inside their own cloud, so this one matters to buyers. linkedin.com/news/story/anth…
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Congratulations @YuHelenYu !!!!!
#books for #Summertime. Pleased to share that my book "Ascend Your Start-Up" hit #3 on @WallStreetJour1 best seller list. Get a copy here and dive into the knowledge I have gathered from over 15 years of hands-on experience: amzn.to/3qous8M #startups #GrowthHacking #VC
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Day 1 of my 5-Day AI Data Viz Challenge just dropped on @LinkedIn Learning! Today's win: use AI to pick the right chart type. I'll show you the exact prompt I use in @claudeai to get THREE ranked chart recommendations, so you pick the chart that tells your story. Try it on a chart you're working on right now and share what Claude recommended in the comments! If you want the full walkthrough and the rest of the 5-day challenge, join the course and complete it with me. -> linkedin.com/learning/ai-in-…
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Totally works for me - I ramble to Claude + ChatGPT all the time :)
One pattern I find useful for working with LLMs is a nice long ramble session. Sometimes the LLM needs more bits to understand what you're trying to achieve, but you're too lazy to type them. In these cases I like to lean back, switch to /voice and just ramble for like 10 minutes, total mess, anything goes, full stream of consciousness. Sometimes I declare it up top, something like "switching to speech recognition sorry for any typos...". Sometimes I turn it into a small interview of a few turns. But I find that the LLMs are somehow very good at reconstructing long incoherent rambles and often their echo of your own tangle of thoughts comes out quite a bit cleaner than what you started with. The result is that you improve the mind meld and have to correct things less from that point on.
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Kate Strachnyi ('DATAcated') retweeted
Best part of #PegaWorld? The Innovation Hub getting hands-on with @pega Infinity Studio, building my own blueprint. Innovation hits different when you're the one creating it. #PegaWorld26 #PegaPartner
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Kate Strachnyi ('DATAcated') retweeted
Look at the logo behind Alan Trefler… "Token Co$t" with a line through it. For me, that was one of the biggest announcements at #PegaWorld yesterday. For the first time, an enterprise software company is offering agentic AI with zero token charges. Clients pay a flat price per completed case, per outcome, rather than per token. Things like a claim processed, a customer request resolved, or an employee onboarded. Honestly, I did not see this coming. I assumed the change to the token model would come from a startup, not from one of the most established players in the industry. So the obvious question is, how can @Pegasystems afford to do that? @Alan Trefler explained it with a kitchen. A great restaurant does not redesign the menu with every order. The chef perfects the recipe once in the test kitchen, the team follows it, and the result is the same dish at predictable cost, every time. That is when it clicked for me. Most enterprises are running AI the opposite way. Every customer interaction triggers a new reasoning loop, and the model rethinks the answer to a question it has already answered a thousand times. That is where the token bill explodes. And here is the part that struck me most. The shift is not only about cost. It is also about who carries the risk. When you pay per token, every inefficiency in the architecture lands on your invoice. When you pay per outcome, the vendor has to make the architecture efficient, or they lose money. The incentive flips. This may quietly reshape enterprise AI procurement over the next 18 months. Pricing AI by activity will start to look like paying for dial-up by the minute. What part of your AI stack is still billed by the meter? #PegaPartner #AgenticAI #AIReadiness #EnterpriseAI #FutureOfWork
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Kate Strachnyi ('DATAcated') retweeted
At #PegaWorld, the future of customer engagement looks a lot like a team sport for AI agents. Plan. Build. Approve. Deploy. Conversation agents, marketing agents, creative agents, data science agents, performance agents, compliance agents… all working together in a coordinated workflow rather than as standalone tools. Also Don’s cape may have gotten the biggest reaction in the room. 🦸‍♂️😂 #PegaWorld #AIAgents #CustomerEngagement #MarTech #CX #EnterpriseAI #pegapartner
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Kate Strachnyi ('DATAcated') retweeted
"Rent a Human"...a platform where AI can hire a human to do the jobs AI can't physically accomplish. @Pega's Rob Walker walks through his own history on the #PegaWorld stage discussing AI evolution from reality to absurd. Today...we have rent a human.
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