Eric Picard

Little scheduling hot tip for my fellow indie consultants and friends who might be juggling multiple calendars! When I started consulting on my own, it was mostly NBD, I did everything from my personal gmail account. Then, things picked up and I realized I needed a separate calendar and inbox for my different projects that didn't get swallowed up by spam and newsletters and personal reminders. AND THEN, I took on my work as interim president at Rewire, and things got even more complicated calendar-wise. I used Calendly for a while, but the free version is only good for one calendar and one kind of scheduling link, and here I was managing three calendars and desperate for more options. The idea of creating duplicate appointments across all three calendars made me want to walk into the sea, so I started doing some research. That's when I found Reclaim.ai. And no, this is not a paid post, however if they are looking for influencers I AM AVAILABLE. This tool has changed my calendaring life, and that means a lot coming from a double Gemini/Cap rising. Not only has it helped me sync all three calendars, it also has three different types of meetings you can choose from when you send a scheduling link. The free version for individuals and sole-proprietors like me is so much more functional. And that's your Monday hot tip ;) https://reclaim.ai/

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Four things cooking at Computer Says Maybe this week 👇 🗞️ We launched a report outlining the NYT's coverage of AI. Wondering if it's as industry-aligned as it feels? Wonder no more: https://lnkd.in/essDjkc4 📻 We published an episode on the pod about the first law requiring algorithmic auditing. Did the law work? Learn more here: https://lnkd.in/e7RgN4ck 📻 We published an episode today about predictive policing. Once you have evidence of bias, what do you *do* with it. Depends on who you are and what you want. Learn more here: https://lnkd.in/eCpe8FFN 🎁 We have something dropping next week...so stay tuned. And if you aren't already getting our newsletter, sign up here: saysmaybe.com/newsletter

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⚡New news - new gig - new product ⚡  Thrilled to announce my reunion with April Alexander, Sasha Aickin, and Jamie DeMichele, esteemed colleagues and old friends, as we embark on a journey to pioneer AI development tools for the future. Yes, you heard it right – AI for AI. It's meta, it's recursive, and it's incredibly exhilarating. Back in the early startup mode, Libretto has just emerged from stealth, and we're eager to invite pioneers like you to try us out. 🎥 Check out our 2 minute Libretto demo on YouTube: https://lnkd.in/gPitCe7F If you're immersed in LLM prompt engineering and passionate about maximizing prompt efficiency for optimal outputs (think measurable optimizations!), we're currently inviting select individuals to join our closed beta. Sign up now in less than 2 minutes at getlibretto.com to be among the first to experience the future of AI development. I'm also on the lookout for developers, PMs, and product innovators who are integrating LLMs into their projects and shaping AI strategy with real-world product use cases, regardless of scale. Let's dive deep into UX research together and geek out over the possibilities. Drop me a DM if you're keen to connect and discuss any of the above! 🌟 (Midjourney rendering for attention) 🌟 - Exploring tools of the future from my ongoing series on world printing. Imagine molecular design at a planetary scale.

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Linxin Gu great article. thanks for sharing. Pls let us know folks in Boston area can help with your journey

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Tired of AI recommendations pushing you to the vendors offering the advice? Here's an independent, tech platform agnostic guide to populating your AI roadmap with some meaningful detail: 1. Take Credera's vendor-neutral assessment and get a view in five minutes 2. Pinpoint where you need to increase your focus 3. Read the content recommended to get you to the next level Get started by taking the assessment now:

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Hey Friends, Today we're revealing the biggest launch in the history of Superhuman: reimagined for teams!! I would greatly appreciate your support if you could upvote us on Product Hunt https://lnkd.in/gX_b3PVi (if you haven't already, update your Superhuman version to get access the game-changing features)

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In less than 1 year, SoSha's generative AI capabilities, went from a "nice to have" to being an essential value generator, used by nearly 80% of our customers 📈 Many folks have asked me recently what prompted this massive change 🧐 The answer is: we've built SoSha's AI capabilities to serve a real need that organizations have, that of generating measurable social engagement and breaking through the noise. We've deliberately moved away from the trite "use AI because it saves you time" to actively working with our customers to prove that using AI to build the content of their social share toolkits can help them substantially boost engagement. In a recent webinar hosted by the Center for Digital Strategy, I had a conversation with Jamie Carter about how non-profit organization DemCast managed to boost their social engagement by 60% by integrating SoSha’s AI social copy writer into their workflow for building social share toolkits. Based on that discussion, my colleague Michael Roach published an article with 4 insights into using #GenAI for achieving core marketing KPIs 💡 I will drop the link in the comments 🔗 Have comments, questions, notes on what your experience with AI in #socialmedia marketing has been? Drop me a line! 😃

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In the depths of the AI hype cycle we’re now in, I heard something really refreshing last week… I was speaking on a panel about AI hype vs reality with Rick Rioboli, and he broke down the steps his team at Comcast took when approaching AI. They set out to first identify real business problems…and then work back to find ways AI could solve them. That might sound simple, but it’s the opposite of what often happens during hype cycles.   Companies can get swept up in the hype and think “we need this technology asap!” before assessing how it will actually improve their business. Comcast undertook a process of partnering with different business units to discover specific areas where teams could improve their efficiency. From that process two AI use cases emerged that could meaningfully improve their business operations: 1. Developer productivity: AI copilots to improve the developer experience 2. Support agent productivity: a RAG-based Q&A system to help agents solve customer problems faster They moved quickly to roll out first versions of these capabilities, starting with small pilots and then expanding to wider deployments. They now have thousands of developers and agents using AI, and they’re seeing real results. Hype cycles have a way of distracting from the real problems that need to be solved. Comcast’s pragmatic approach is a great example of how to avoid the distractions and focus on the use cases that create lasting value. You can watch the full panel discussion at the link in the comments. #ai #hypecycle #productivity

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Interesting - do we want AI to write our TV shows? If creativity is parametrized to certain metrics and the goal is to maximize attention of the audience, we know what will be the results. It will be a gross regurgitation of every sensational show that has done already done that in the past. We risk going into a time loop of consuming the same content over and over, again and again, in different forms. I hope we will get AI technologies to solve other pressing problems for us in #cleanenergy #medicine #spacetech etc. Please let human creativity be! I thought the whole point of automating everything we do is to allow us become more creative. Am I wrong #siliconvalley? #innovation #purpose #society

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Marshall Cohen is among a handful of smart, thoughtful research professionals who has made an important contribution to the media and advertising business for several decades. His leadership has guided most of the big decisions in methodology and data validation. It's an honor to welcome Marshall to MediaVillage.org Thought Leaders. Here's his first contribution sharing his perspective on how streaming services are failing to connect meaningfully with their subscribers and his proposed solutions. https://lnkd.in/gy3HPQ3p

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Our friend Julio Mario Ottino recently published a thought-provoking essay called "Amazing Possibilities Ahead: But beware the hidden dangers of prediction without understanding." We interviewed Julio on the podcast about his book, The Nexus, in June 2022 and that has led to a continuing friendship. Julio has started publishing on his own site and we're enjoying reading more of his work. A brief quote from this essay: "It used to be that predictions depended on understanding. For the last two centuries or so, that has been the unstated foundation of most advances in technology. But we should recall, as well, that for hundreds of years, we were designing systems that worked well without having the scientific bases to understand their functioning. But the advent of A.I. represents a seismic shift in enabling prediction without understanding. A.I. can make accurate predictions and achieve remarkable results without necessarily grasping the underlying reasons or mechanisms. On one hand, this could be a boon. An age of prediction free from understanding. On the other, our lack of understanding could mean we lose control of the outputs altogether." #ai #artificialintelligence #generativeai #airesearch #complexity #chatgpt #complexchange #changemanagement #futureofwork #artificiality #mindforourminds

I'm going to do a longer post/article but quick hit for now -- if, on the DESKTOP CHAT APP for #ChatGPT, you need better writing quality, longer output, ability to follow complex instructions, better interaction (I know, it seems non-inuitive, but remember, I'm talking desktop here), or regular Dall-E 3 graphics, so far it seems like you're better off sticking with GPT 4. If you're looking for speed, visual input, voice translation, somewhat better memory or using it on the phone, then that's where #GPT4o shines. **If you are paid level you can switch models** -- basically test and switch back and forth depending on your need, then pick the model that works best. Developers are going to have to test for their specific app use case.

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Curation as a service from the buy-side perspective. The middle now leans towards supply as cookie restrictions collapse data portability. Great piece by Anthony with technical explainers, use cases, and lift metrics. We still need some time to see the market tension develop, but I think the SSPs and Curators (aka data companies) are on a roll here. https://lnkd.in/gEjM_-XM #DCaaS #digitalpublishing

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"The most commonly reported uses of generative AI are for getting information (53%) and brainstorming (51%). Among those who used generative AI, Black and Latinx young people are significantly more likely to use it for most activities." My most common AI use cases are copy editing and getting information/learning.

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I'm generally supportive of the PET sub-sector, which is innovating not only to protect personal privacy, but to preserve the commercial model that underlies digital, and especially open-web programmatic advertising. It does, however, worry me when browser and device companies are in the privacy and data protection driver's seat. This approach is likely to mean more fragmentation, which makes it harder for brands and publishers to coordinate their audience addressability and measurement across media types, platforms and devices. It also creates an economic unevenness that has nothing to do with the actual value of an audience (see exhibit A: cookieless Safari CPMs). By way of example, let's take a look at Google Privacy Sandbox. Notwithstanding the multiple millions of dollars of investment required of most of us in adtech, Sandbox was designed to work initially with Chrome and eventually Android. That's nice, but totally unhelpful for brands and publishers that want to protect audiences using Safari, Firefox or any app in the iOS environment. And what about CTV? Mozilla is in a totally different category than Google, and as Allison reports, "... but as to whether Anonym will create any privacy-focused technology specifically for Firefox, Mozilla’s web browser, nothing’s been planned yet." Nonetheless, I think a degree of independence and cross-platform capabilities is key if we're going to succeed in preserving the value of trusted personal data relationships.

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What if getting data insights were as easy as texting? Start your free trial of #Cohesity Gaia today! https://lnkd.in/gSe7uJ9K

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If this was solely about industry diversity, that would be enough; about the intentional evolution of technology? Again, that'd be enough—enough for us to demand better. This is more. Speaking with TechCrunch reporters, Sarah Myers West, managing director at the AI Now Institute, communicates what’s at stake, highlighting why we must "critically examine" organizations producing AI to "make sure the public’s needs [are] served." Simply, this is about us—all of us. "This is error-prone technology," she explains, "and we know from independent research that those errors are not distributed equally, they disproportionately harm communities that have long borne the brunt of discrimination." These organizations are charting our shared tech-centric future. We must demand better.

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This is so great to see! As we head into the Upfronts and Newfronts, brands need to know they can reach a massive audience, using video, that doesn't get skipped or ignored and is 4x more efficient on a cost per second viewed metric. Efficiency AND Impact from In-Scene Media #uninterrupted #advertising with #AI

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