Steve Francolla

Interesting insights into OpenAI's publisher partnerships from a leaked presentation: 1. Only for "select, high-quality editorial partners." 2. Enhanced display of information from partners. 3. Fixed payment for access, and variable payment based on usage. Data suggests that generative search tools can answer a user's question 75% of the time with no need to visit a website. So this could be an important source of revenue for publishers. Article: https://lnkd.in/d95WWHDc

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Content, marketing, and #digital pros are known to be mavericks. They have to be – if they want to survive in this breakneck, warp-speed world of #DX. It’s no surprise that with the advent of #AI tools, many of these ambitious provocateurs rushed headstrong into the techie embrace of #ChatGPT and hundreds of other AI tools on the market. But are they considering how to use them responsibly? There’s a lot at stake, and Brian McKeiver has been thinking a lot about the opportunities and challenges. As co-owner of BizStream – a U.S.-based digital agency – he’s working closely with AI tools and #contentmanagement platforms that have integrated AI capabilities. In his Guest Critic article on CMS Critic, Brian brings his brilliance to the AI conundrum, evangelizing how “Responsible AI” is the key to achieving ethical, fair, and safe outcomes with this innovative, ever-evolving technology. “The AI and especially generative AI world is constantly changing, as are the laws and regulations around it," he says. "You must treat your AI policy as a living, breathing document. Schedule time to review it regularly, considering the changes that are coming in at a rapid pace.” This is a must-read. And as an added bonus, Brian is offering a downloadable worksheet to help guide the journey. Read it now 👉 https://lnkd.in/ehdkZCDp

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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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Superb POV on the future of search, how AI will disrupt search and how Google’s own Gemini (Ai platform) is disrupting Google itself… Are we more rapidly moving towards the reality imagined and articulated below by Google’s ex CTO Craig Silverstein back in 2003..no that’s not a typo..20 years ago: “When search grows up, it will look like Star Trek: you talk into the air (“Computer! What’s the situation down on the planet?”) and the computer processes your question, figures out its context, figures out what response you’re looking for, searches a giant database in who-knows-how-many languages, translates/analyses/summarises all the results, and presents them back to you in a pleasant voice. I think this technology is about, oh, 300 years away..” It’s now in front of our eyes so what does this mean for brands and agencies managing the most significant revenue driving media channel ? Robert Webster Yael Heffets Jordan Kernahan Vanessa Miceli Simon Wiggins Stephani Estes David Grow

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If you’ve looked into media mix modeling, you’ve probably heard about the granularity criticism. And honestly, it’s a fair question. MMMs always have to navigate the trade-off between the number of channels that are being included and the signal you’ll get from each of them. Ideally, you want to include a lot of channels because you want granular, tactical information about where you should be adding spend, subtracting spend, shifting spend, etc. You want super granular tactical information. But, on the other hand, the more channels you include, the more that you're spreading your signal around smaller and smaller buckets. That's just an iron law of any statistical model – the more parameters that you're estimating, the more uncertain you're going to be about any single one of them. That said, there's always some zone where there's an acceptable level of certainty and some acceptable number of channels to give you tactical information. And within that range, there are different configurations that you could select. We work with our customers when we're building the model at the initial stages to find the happy medium (we like to start with about 30 channels) right in the middle of that zone where we're getting the right amount of certainty and the right amount of tactical information to drive day-to-day decisions.

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"...According to our 2024 survey in partnership with the Association of National Advertisers (ANA) of over 200 CMOs in 7 countries, CMOs increasingly view generative AI (GenAI) not only as a way to improve efficiencies but also to unlock growth. - More than 75% of the CMOs in our survey are optimistic and confident about the future impact of GenAI on their organizations. Over half are forecasting at least 5% topline growth in their GenAI-related business cases and are investing accordingly. - Around 80% of CMOs have already deployed GenAI to make internal processes faster, more productive, and less labor intensive, especially in areas such as content creation and social media engagement. - However, the most promising strategic areas for GenAI solutions—such as personalization, customer insight generation, and predictive analytics—will take longer to develop and deploy at scale..."

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MIT to CTO: Pioneering Tech Innovations in Ad Tech with Carl Livadas In this episode of Analytics Today, co-hosts Dr. Jeremy Roberts and Sameer Khan welcome Carl Livadas, a distinguished technology leader and CTO of Sojern. Hailing from a robust academic background at MIT and extensive experience in cybersecurity at Intel Research and BBN Technologies, Carl shares his journey from researcher to tech entrepreneur. Here are five key takeaways from this episode of "Analytics Today" with guest Carl Livadas: 1) Insights into Transitioning from Academia to Tech Leadership: Carl shares his journey from an academic background at MIT to becoming a CTO, highlighting the value of adapting research skills to meet the fast-paced demands of the tech industry. 2) Understanding the Role of AI and Machine Learning in Advertising: Carl explains how Sojern uses AI to optimize online advertising efficiency, offering a deep dive into cross-channel optimization and the balance between exploration and exploitation in ad spending. 3) The Importance of Privacy in Online Advertising: Discussion on how the advertising industry is evolving with privacy regulations and how technologies like AI can help balance effective marketing with consumer privacy. 4) Leadership Philosophies for Technology Managers: Carl emphasizes the importance of team dynamics, supporting individual growth within the team, and strategic planning for organizational development. 5) Career Advice for Aspiring Tech Leaders: Carl provides actionable advice for professionals aiming for C-level positions, stressing the importance of following one's passion, choosing the right environment, and building a supportive and effective team. Sell faster, smarter & better: Apollo AI Harnesses database of 250M+ contacts & sales engagement signals to create hyper-personalized AI msg Disclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you. Support the Show. Follow us on Twitter @sameerkhan or @jeremyaroberts or leave us a review on iTunes Click below to listen to our latest episode: https://lnkd.in/gAADm2Zu

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Really fun interview with Pierre DeBois about Perplexity's new advertising play. Anyone whos tired of listening to me talk about it, knows Im a HUGE Perplexity fan. For any moment where you've got a large coffee in hand & are about to do some Deep Googling and open ~50 tabs, Perplexity is a total game changer. If their search results have ads on them - assuming they're relevant ads - they just enhance the experience. I'm all for it. The game changer for me is... Where Google (pre-Gemini Google) depends on a website having an explicit answer to my question, these new LLM tools can just generate the answer. Totally upends traditional SEO. This is my quote: "When I search online, I am looking for someone with an answer to my question. Google provided it as a search engine looking at the answers people provide via websites. AI has changed how that information is arranged, with Perplexity squarely aimed at the search model." Great to be in the company of John Lawson III, Brent Leary, and Debra Dixon-Anderson for their thoughtful contributions to the piece. https://lnkd.in/g6a8G5gW #ai #perplexity #seo

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The Future of (Generative AI) Search Explore the future of search with generative AI. Discover how Apple Intelligence, context-based understanding, intent-driven interactions, and integrated workflows are transforming search. Learn about the trust challenges and the critical balance needed for reliable, AI-powered search experiences. In this webinar from June 11, 2024, we dive into the fascinating world of generative search and explore how it's evolving far beyond the traditional notion of search. We kick off by discussing the recent announcements from Apple's WWDC keynote, particularly focusing on Apple Intelligence and how it sets the stage for the future of search. Key Points: - Apple Intelligence marks the start of a new AI-powered era for Apple, with deep integration into the operating system and a privacy-first approach. - Search extends far beyond web searches, encompassing diverse domains like commerce, file systems, and more. - The complexity of perception, reasoning, and action in search systems is evolving, leading to more advanced AI-powered search experiences. - Search is progressing from language-based to context-based understanding, leveraging multimodal inputs and even exploring the potential of neurotechnology. - The shift from command-driven to intent-driven interactions enables search systems to better understand and fulfill user needs without explicit instructions. - Search results are moving from simple information retrieval to integrated workflows, seamlessly connecting information across apps and systems. - Trust is a critical challenge in generative search, with issues like contradictory sources, hallucinations, tool variability, prompt bias, and generative pollution impacting reliability. - The trust matrix categorizes search tools based on the level of trust in their sources and their ability to summarize or synthesize information. - Case studies in domains like law highlight the significant challenges in establishing trust in generative search systems, despite their potential for efficiency gains. - The future of search lies in striking a balance between leveraging the power of generative AI while addressing the fundamental issues of trust and reliability. #ai #artificialintelligence #generativeai #airesearch #complexity #intimacyeconomy #chatgpt #complexchange #changemanagement #futureofwork #artificiality #mindforourminds #intimacyeconomy #agenticweb

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Tiny but mighty is how we’re describing the Phi-3 family of small language models that Microsoft unveiled last week.     Large language models (LLMs) continue to unlock exciting new frontiers for all of us to be more productive and creative with AI, but they can require significant computing resources to operate. While they will continue to be the gold standard for solving complex tasks, our small language models offer many of the same capabilities of LLMs but are small enough to fit on a phone.     Read more about how this advancement is democratizing AI, offering a scalable solution that balances performance with computational efficiency to pave the way for a future where we have more choices and flexibility with AI:     #MicrosoftAI

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Hear from $1B+ brands how AI developments in 2023 boosted marketer efficiency, productivity, and innovation. Learn pragmatic applications along with cross-channel marketing and human ingenuity to craft revenue-generating moments: https://lnkd.in/eT9Eq9pT #marketing #personalization #martech

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"To help preserve a safe Internet for content creators, we’ve just launched a brand new “easy button” to block all AI bots. It’s available for all customers, including those on our free tier." This is really neat! Whatever you land on AI scraping, giving site owners the one-click ability to make a choice is great. Some will choose not to use this; others will hit the button. Making it this easy means it's a choice about the principles, not any kind of technical considerations. Which is what it should be. Not every site is on Cloudflare (and some also choose not to use it because of how it's historically dealt with white supremacist / Nazi content). But many are, and this makes it easy for them. Other, similar providers will likely follow quickly.

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Super interesting 20 slide summary direct from the U.S. Department of Justice closing argument in the search anti-trust case against Google. Not least because, in an industry overrun with acronyms and jargon, they've reintroduced us to the term "knob." (Here is the full closing argument deck: https://lnkd.in/exSWReNA)

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The best person to follow on LinkedIn to learn more about media mix modeling (MMM)? My vote goes to Michael Kaminsky of Recast. With a unique ability to make complex topics accessible to non-experts, Michael's steady stream of posts are an on-going source of super helpful insights. Who else is a great follow on LinkedIn to better understand MMMs?

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Breaking down Amazon's 'Just Walk Out' AI Pause Why did the tech giant stop its revolutionary "Just Walk Out" technology? CMSWire's Pierre DeBois does a deep dive into what this means for the future of #AI in #customerexperience. So what went wrong with Amazon’s cashier-less tech? Despite its ambitious vision, Amazon faced significant hurdles. Understanding these can help guide your own AI strategies. As AI increasingly shapes #customerjourneys, it’s vital to implement strategies that don't compromise on trust. What strategies are you employing in your AI deployments? Want to learn more about Amazon’s 'Just Walk Out' pause. Read the full article here: https://lnkd.in/eGtE5eEt #CustomerTrust #AIEthics #Amazon

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GPT-4o can look at a picture of a menu in a different language and translate it, in the future, the model could allow ChatGPT to, for instance, “watch” a live sports game and explain the rules to you. Generative AI

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Hemingway has a quote about going bankrupt that describes the process as “gradually, then suddenly.” It applies to exponential change, and feels very apt for current technological, economic, and social trends. I think we’re in the early part of several changes that will intersect. For example: increasing adoption of AI tools in businesses, growing popularity of four-day work weeks, persistent reluctance to return-to-office, early signs of AI’s impact on jobs (especially for copywriters, translators, and customer service agents), and more experiments with universal basic income. Exponential change feels gradual, then sudden. We’re currently on the flatter end of the AI curve, where people can criticize predictions of major disruption because they don’t see it now. But I think that would be a mistake. Exponential change doesn’t usually feel exponential initially.

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Here are four amazing things OpenAI didn't promote in its spring announcement livestream: 1. It can participate in video meetings! This seems possible using the desktop app. See it in this video here: https://lnkd.in/gh6weqhm 2. ChatGPT on iOS can see your screen and coach you based on what it sees. For example, see the Khan Academy tutoring example here: https://lnkd.in/gJ_QAPkk 3. Multiple instances of ChatGPT can talk to each other via voice in one app? This seems to be possible based on this video where two instances sing together in one app: https://lnkd.in/gY-z3wAA 4. Image generation seems to be done with the one GPT-4o model as well, based on image generation examples shown here: https://lnkd.in/griMnepp.

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Why Frank McCourt thinks buying TikTok could help save the internet https://buff.ly/3KCdejf - 💡 Frank McCourt views acquiring TikTok from ByteDance as a step towards building a fairer internet - 🌐 McCourt's bid to buy TikTok aims to implement ideas around data management and privacy on a larger scale - 📲 McCourt's nonprofit Project Liberty focuses on giving people ownership of their data through a blockchain-based infrastructure - 🛡️ McCourt emphasizes the importance of users controlling their personal data to protect privacy - 💬 Prospective challenges include competition for TikTok and navigating scalability issues - 🔗 DSNP allows individuals to control their identity in the digital world and promotes prosocial behavior - 🤝 Migration to DSNP aims to address misinformation and extremist content on social platforms - 📈 McCourt believes in the potential of TikTok's user base to catalyze an alternative internet and foster user engagement in solving digital problems

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