Fernando Mendoza
Matt Derella
SVP, LinkedIn Ads & Microsoft AdvertisingLinkedIn profile
7Posts
1Plain reshares
44Median reactions
5Median comments
46Median interactions
Topics
| Topic | Posts | Share | Team | Execs on it |
|---|---|---|---|---|
| AI industry commentary | 2 | 29% | 5 | 4 |
| Sales and ads products | 2 | 29% | 6 | 4 |
| AI and work | 1 | 14% | 10 | 7 |
What they claim · 7
- Buyers form opinions through AI research before sellers know they are in market 24 Sept
- Smartly for LinkedIn personalises B2B creative at scale 24 Sept
- LinkedIn and Microsoft Advertising raised funds at a charity event 23 Sept
- A teammate's interview covers AI and advertising, including "Information is the new bid" 19 Sept
- Recommends a conversation on how Anthropic paces development for safety 17 Sept
- Openreserve won conditional approval for a US bank charter 7 Sept
- Recommends a post on systemising AI skills across organisations 26 Aug
Posts
"I know exactly who we need to reach but I just can't produce enough relevant creative fast enough to reach them.” If this sounds familiar you’re not alone. Buying groups keep growing, and AI driven research means buyers are forming opinions long before a… more
"I know exactly who we need to reach but I just can't produce enough relevant creative fast enough to reach them.” If this sounds familiar you’re not alone. Buying groups keep growing, and AI driven research means buyers are forming opinions long before a seller even knows they’re in-market. One generic asset stretched across every audience just doesn’t hold up. When audience insights and creative come together that’s the magic formula. That’s why I’m excited about Smartlyy for LinkedIn- a singular solution for B2B that drives relevant, intelligent creative that is personalized for your buyer groups at scale. For your marketing and creative team, that means less time getting creative out the door and more time on driving results that matter. Check out this page to learn more: https://lnkd.in/eWW2WsCZ cc: the one and only Laura Desmond240 reactions · 8 comments · 5 repostsOpen on LinkedIn
So proud to be part of LinkedIn and Microsoft and the ad industry for showing you can do well while doing good. Hat-tip team 🎩!
Rachel Steinberg
Never have I ever had so much fun embarrassing myself in front of teammates, colleagues, and ad industry professionals!! Even better that it was for such a… more
Never have I ever had so much fun embarrassing myself in front of teammates, colleagues, and ad industry professionals!! Even better that it was for such a good cause, The Valerie Fund! I think it's safe to say that LinkedIn and Microsoft Advertising's first-ever "CAREoke for the Kids" team was a rousing success - a top three finish, tons of funds raised, and a million ideas of how to take home the trophy next year, given how competitive we are. Huge kudos to my teammates Melissa Perrier Alejandra Wichmann Danielle Berman Jamie Heckelman Michael Katz Ellie Weed Miller Fahey, our fearless leader and cheerleader Matthew Derella, our team captain extraordinaire Melissa Sales, our plant aka judge Zach Christensen-Mohammed, and everyone that came out and supported! Full video is available with bribes...56 reactions · – comments · 1 repostOpen on LinkedIn
“Information is the new bid” and many other gems on AI and Advertising from my teammate Tim Frank in conversation with AdExchanger
Tim Frank
AI is changing every layer of the internet: how people discover, evaluate, and ultimately transact. I had a far-ranging conversation about the emerging AI… more
AI is changing every layer of the internet: how people discover, evaluate, and ultimately transact. I had a far-ranging conversation about the emerging AI economy with Allison Schiff at AdExchanger about what that means for brands, publishers, and commerce. We covered: • The three eras of the internet: human, LLM, and agentic, and how that plays out for brand discoverability • How bot traffic overtaking human traffic changes the discovery equation • The reality that information quality is becoming the new bid • That interviewing AI models is an important component of market research • Why open standards, such as the Universal Commerce Protocol are so critical to give AIs the ability to take action The shift can sound abstract, but my family experienced a small version of it this summer. We used AI to find specialty shops in New York based on things we already liked. It narrowed the options and helped us plan. Then we did the human part: walked around, explored, and bought a little more than planned. :) That balance of spending less time navigating complexity and more time enjoying the experience is where this gets interesting. Links: • Article: https://lnkd.in/gBKhTPe5 • YouTube: https://lnkd.in/gR4dsnax28 reactions · 5 comments · – repostsOpen on LinkedIn
worth a watch if you want hear directly from the ceo of Anthropic and Marc Benioff talk about the what the leading company in AI is doing about safety by adjusting the pacing of their development.
Salesforce
Live: Dario Amodei x Marc Benioff. The Anthropic co-founder & CEO joins us at Dreamforce for a conversation worth hearing. ☁️
97 reactions · 1 comment · 3 repostsOpen on LinkedIn
The Openreserve team led by Dee Choubey had a major milestone this past week earning conditional approval from regulators to be a full service US bank that offers real-time settlement across fiat and blockchain rails, direct Federal Reserve connectivity,… more
The Openreserve team led by Dee Choubey had a major milestone this past week earning conditional approval from regulators to be a full service US bank that offers real-time settlement across fiat and blockchain rails, direct Federal Reserve connectivity, tokenized deposits, and GENIUS Act-designed payment stablecoin infrastructure. At its heart, it provides a critical combination of technology and trust. it offers continuous capital to flow -- without the friction of borders or time zones. All transactions are verified and the bank is regulated. Great video below that brings it to life. It's an emerging space and excited to be connected to the amazing team building for the future.Dee Choubey
Introducing Openreserve, a blockchain native de-novo digital bank, finally out of stealth. This week the Office of the Comptroller of the Currency (OCC)… more
Introducing Openreserve, a blockchain native de-novo digital bank, finally out of stealth. This week the Office of the Comptroller of the Currency (OCC) granted conditional approval of our full-service U.S. national bank charter application. Preliminary conditional approval to charter a de novo national bank is a privilege our team does not take lightly. It is a significant milestone and the beginning of the most demanding phase of the work. We're building toward real-time settlement across fiat and blockchain rails, direct Federal Reserve connectivity, tokenized deposits, and GENIUS Act-designed payment stablecoin infrastructure. Thank you to the entire OpenReserve team, our board, investors, and to the OCC who ran a rigorous review. More to come! See what we are building: https://openreserve.ai31 reactions · 3 comments · – repostsOpen on LinkedIn
Just thought this was good knowledge for
leaders thinking about getting their AI game more systemized across orgs.
Dennis Woodside
Reskilling used to be framed as an individual project. Nights, weekends, your career, your problem, your dime. Plenty of people are still doing it that way —… more
Reskilling used to be framed as an individual project. Nights, weekends, your career, your problem, your dime. Plenty of people are still doing it that way — nobody is going to be more invested in your fluency than you. But the pace of AI has pushed the load past what individual effort can carry on its own. We've ended up splitting it three ways. The first part stays with the individual, and I don't want to soften that. The second sits with the company and it costs money. The third sits with whoever is running the place and it costs something harder to give; time. Companies that leave all three on the employee will get the fluency of the people who had time. On Freshworks’ share: we run a program called AI in Motion. We recently wrapped the third installment — three regional events across 11 cities, thousands of employees. Those events produced 25 innovation showcases: working prototypes from SecOps, IT, CX, Sales, Sales Ops, Engineering and Product, each one built against real customer or business problems. And 15 sessions where employees taught other employees how they're using AI in their own jobs — financial workflows, building pipeline, prototyping. Two things about that. It happened on work time, not on people's weekends. And it wasn't built for engineers. The prototypes that surprised me came out of functions that don't write code for a living. On the leadership share: I plan my whole training year in Claude — I run four races a summer and the plan is built and adjusted there. I also build prototypes in Lovable and send them to the product team. They're usually terrible ideas, but you can't set expectations from a distance. If the people running a company aren't in the tools, everyone below them reads that accurately, and no training program closes that gap. Here's what it looks like when fluency lands. Our product development lifecycle has changed. Designers work in Figma, push through Figma Make directly to code, and we've built the hooks into our production environment so what comes out already meets our internal coding standards. QA is largely automated. Cycle times are ~30% faster and AI products ship on a two-week cycle, which we weren't doing before. We've also turned our own AI Email agent on our own billing questions. It handled about 30% of them from the day we switched it on. Neither of those came from buying something. They came from people who already worked here figuring out what the tools could do in their part of the business. Most of our customers aren't from the tech industry. They're not benchmarking models on the weekend. They're looking to us to be conversant enough in this to help them get from experimentation to real use, and you can't outsource that to your product. Most of the AI debate at the CEO level is about which model, which stack, how much budget. That debate matters. What determines whether AI shows up in the P&L is whether the people you already employ know how to use what you've already bought19 reactions · 5 comments · – repostsOpen on LinkedIn