Sign in to view Ross’ full profile
Welcome back
By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.
New to LinkedIn? Join now
or
By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.
New to LinkedIn? Join now
New York, New York, United States
Contact Info
Sign in to view Ross’ full profile
Welcome back
By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.
New to LinkedIn? Join now
or
By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.
New to LinkedIn? Join now
1K followers
500+ connections
Sign in to view Ross’ full profile
Welcome back
By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.
New to LinkedIn? Join now
or
By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.
New to LinkedIn? Join now
View mutual connections with Ross
Welcome back
By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.
New to LinkedIn? Join now
or
By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.
New to LinkedIn? Join now
View mutual connections with Ross
Welcome back
By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.
New to LinkedIn? Join now
or
By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.
New to LinkedIn? Join now
Sign in to view Ross’ full profile
Welcome back
By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.
New to LinkedIn? Join now
or
By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.
New to LinkedIn? Join now
About
Welcome back
By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.
New to LinkedIn? Join now
Experience & Education
-
Contentful
********* ********* *******
View Ross’s full experience
By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.
Welcome back
By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.
New to LinkedIn? Join now
View Ross’ full profile
Sign in
Stay updated on your professional world
By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.
New to LinkedIn? Join now
Other similar profiles
-
Hugh Roszel Jr.
Chicago, ILConnect -
Patrick Finn
Portola Valley, CAConnect -
Nathan Henry
Sr. Manager, FP&A at Contentful
St Paul, MNConnect -
Nelson Harris
Arvada, COConnect -
Brian Wiechowski
New York, NYConnect -
Alex Glaser
Denver, COConnect -
Richard Hall
Greater LondonConnect -
Karthik Rau
San Francisco Bay AreaConnect -
Ryan Eurglunes
Yoga, Art, Wellness
Brooklyn, NYConnect -
Peter Drake
Logistical Support at Duck's Cosmic Kitchen
Decatur, GAConnect
Explore more posts
-
Karen Jagoda
#podcast Daniel Scantlebury, Vice President of Data Science and AI at Resonate, is a seasoned observer of human behavior. He uses his insights to better understand and predict voting behavior. In this age of media bubbles, how voters consume news and form opinions creates even more challenges for campaigns to reach them. We talk about: * Use of Predictive Resonate Elements to target specific voter segments * Persuadable, swing, and disengaged voters * Educating clients about the use of AI in developing campaign media plans * Near real-time analysis of online voter behavior #Resonate #Voters #AI #VotingBehavior #VoterSegmentation Resonate.com https://lnkd.in/gJy8a94n
-
Annie Bercovich Myers
Ezra Klein opens his podcast, with AI Expert, Ethan Mollick, with an all too relatable preamble: “I consistently sort of wander up to the A.I., ask it a question, find myself somewhat impressed or unimpressed at the answer. But it doesn’t stick for me. And I think that failure matters. I think getting good at working with A.I. is going to be an important skill in the next few years.” In the next hour, Klein and Mollick go back and forth with some of the most insightful and practical AI guidance I’ve heard. For example: Ethan Mollick: "A.I. is built like a tool. It’s software…But because of how it’s built, because of how it’s constructed, it is much more like working with a person than working with a tool. In fact, there’s some early evidence that programmers are the worst people at using A.I. because it doesn’t work like software. It doesn’t do the things you would expect a tool to do. Tools shouldn’t occasionally give you the wrong answer, shouldn’t give you different answers every time, shouldn’t insult you or try to convince you they love you. And I find that teachers, managers, even parents, editors, are often better at using these systems, because they’re used to treating this as a person.” See comments below for some of my other favorite sound bites. I definitely encourage everyone to listen. https://lnkd.in/gjmHCEvq
9
2 Comments -
Albert Fong
News organizations may want to turn to the horoscope section because the future's looking as predictable as a mercury retrograde. OpenAI's new deals with Vox Media and the Atlantic add to a growing list of more than 70 newspapers, news websites and magazines taking money from the AI in exchange for sharing their content. On the surface, these agreements boost OpenAI's efforts to acquire reliable information for training their AI systems and powering their chatbots. But more importantly, they potentially shield the company from copyright issues in the future. The deals highlight bigger issues however. News organizations are in financial dire straits as eyeballs and revenues sink, which is a primary reason why some are increasingly choosing deals over lawsuits with OpenAI. These partnerships offer several advantages: quicker financial returns (potentially exceeding lawsuit settlements), and the opportunity to leverage AI within their own operations. But unlike the music and entertainment industries which have thus far maintained a united front against OpenAI and other AI companies, the split within the publishing world highlights a rift emerging within the media landscape. That rift may eventually be the industry's undoing. Put bluntly, these deals with AI firms are only a stopgap measure for the inevitable. While AI companies crave vast amounts of data for training, these partnerships are a temporary reprieve for media outlets facing the long-term challenge of AI becoming the dominant news platform. News organizations have been bleeding subscribers and users for a long time, already strained by the dominance of social media. In many ways, these deals only accelerate AI becoming the preferred platform for news consumption, and further siphoning away website traffic and subscribers https://lnkd.in/gGaBkWRa #openai #artificialintelligence #publishers #media #content #subscriptions #socialmedia #llm
1
1 Comment -
Alex Lawton
This great read by Eugene Yan, is full of insights I subscribe to. I have spent most of my career trying to simplify complexity and struggling to make "people" (not only clients but within my own companies) understand that simple is not the same as simplistic and that one powerful insight or idea can change any business. Luckily my current partners Koen Smeets, GORDAN DOMLIJA, Jose Luis Quiros Garcia, and Dory Casas are strategic minds that also know that it takes tons of work, knowledge, and thinking to eliminate the noise; and that in the long term, it is always best, although the industry surrounding us mostly choose the easier route and focusing perceived value of navigating the complex in public. We stand for doing our homework, research, and learning at LA PIPA IS LA PIPA, to then use knowledge to boil the noise and the hype down into valid, true insights and going to the point, committing -at the same time- to outputs rather than to process. Quantifying knowledge, insights, and ideas based on outputs is difficult. It's easier to quantify time dedicated to managing complexity and problems and charge for it, regardless of what happens after. Sell solutions, not problems!! LA PIPA IS LA PIPA :: Re:Motive Media :: BEDROCK - Humanised Intelligence :: eugeneyan.com https://lnkd.in/eMZHkDtX
28
1 Comment -
Vik Kathuria
https://lnkd.in/ekWkSZ54? This happens in a few other places, too: TikTok has paused a program that paid people a nominal sum for spending time on the app. These examples are the flipside of the fact that, in media, any piece of content can be the product that's sold, or it can be something that's monetized for attention, or it can be an ad for any of them. That works in the other direction, too: a sufficiently large platform can pay to fill gaps in either the content that's being posted or the data used to inform its recommendations.
-
Evan Huck
This is our first major new product launch at UserEvidence. Introducing UE Research Content. The feedback from customers has been incredible - incredibly disruptive to the traditional model of expensive and slow Analyst research. Thought leadership content is crucial for building awareness and moving B2B prospects down the funnel. But here's the problem: 71% of decision-makers say less than half of thought leadership provides powerful insights (Brighttail). Original Research - e.g. the "2024 VENDOR State of INDUSTRY Report" with substantive, interesting, survey data and industry trends projections - is the way to go, and is consistently a high-performing and wide-reaching asset type that works well in Content, PR/Marcomm, Analyst Relations, and Demand Gen. But creating these original research reports is a painful, slow, expensive process, regardless if you're doing it internally, or working with an agency or Analyst firm. - source a survey panel of 500+ industry professionals - come up with good questions that pain the industry narrative/direction you want - analyze the data and write copy about they key themes and takeaways - hand it to design to turn into a designed report - atomize the report into snackable content It's par for the course for these reports to cost $60+ ($100k+ if it's Gartn3r or Forre$ter ;) - and take 4-6+ months. UserEvidence Research Content enables marketing teams to quickly and cost-efficiently (like 1/3 of the cost and 1/2 the timeline) create substantive and thought provoking long-form industry trends reports - "2024 State of X" reports, Buyers Guides, and more - and use the UserEvidence Platform to atomize and create derivative short-form content and social content from the underlying research. In the words of our first UE Research Content client (who has now done several projects with us), Immuta, "Our newest report launched only two weeks ago. We've already gotten picked up by three media outlets, are capturing leads, and the sales team is leveraging stats in their presentations" + "We couldn't be happier with the results from UE Research Content, the content is THAT good." Check out the blog post for more info, and to see example Research Content created by Immuta and others. Boost! 🚀 #thoughtleadership #contentmarketing
113
20 Comments -
Cory Treffiletti
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
16
-
Gavin Dunaway
The state of first-party data? In the trough of disillusionment… because the #adtech world over-inflated the value of first-party data, damn them! Well, it's a bit more complicated than that, as Sarah Sluis' panel with Martin Kihn from Salesforce, Erin Foxworthy from Snowflake, and Matt Kilmartin of LiveRamp points out. Big issue: walled gardens pulled back their data, cut off access. And what do you know, advertisers followed them because they wanted to be near that data. But the entire infrastructure for targeting and measurement is being rewritten, Kilmartin points out, and pixels are brittle technology. Foxworthy adds that there are too many data point solutions out in the market, but they tend to be easy to implement. The larger holistic strategy is truthfully tough to get the resources for (including talent), so there are a lot of band-aids being applied via point solutions (that's my metaphor). The MarTech ecosystem is moving closer and closer to where the data resides (the cloud!). Many companies don’t have the talent in-house to build out what they need Snowflake, but it’s all possible. Kihn talks about the Privacy Paradox - consumers say they’re wary of sharing data and concerned about data privacy, but their actions speak differently. Think about what you share when you go searching on Google—you have to be crazy to think Google isn’t paying attention. (Or you can use Duck Duck Go.) The key is TRUST. (The Media Trust knows something about that.) Consumers share data with brands that demonstrate trustworthiness... And value. Sluis notes that the B2B version of data privacy is making sure your competitors aren't getting access to your first-party data when you go sharing it in clean rooms, cohorts, what have you. (I'll note that you should be worried about that on your website, something that TMT can also help with.) Yes, first-party data is valuable, but advertisers are increasingly realizing the value when they wrangle their data and match it to other party's first-party data. 2nd-party data, huzzah. (But 2nd-party data BECOMES your data, effectively transforming into first-party data! 🤯) What’s the top mistake brands/companies make with first-party data? They don’t pay attention to the metadata around the data: accuracy, integrity and permissions. Are AdTech and MarTech getting back together? The engagement is back on! I don't think they ever split, and I'll be honest, I think Myles Younger is totally on point when he talks about the merging of #adtech and the cloud. I think that's a better way to understand the evolution. I guess I shouldn't be surprised that no one mentions publisher first-party data segmenting of intent/contextual signals... Granted that's considered "contextual" data while this was an "audience" data conversation. 🤷🏼
2
-
Vivek Girotra
MCKINSEY’S FINEST WORK YET: A $4M STUDY TO DETERMINE IF TRASH BINS ARE BETTER THAN LEAVING GARBAGE ON NYC STREETS (SPOILER ALERT: YES) To be fair, the deck is actually interesting (link in first comment) but the thought of freshly minted grads getting billed at obscene hourly rates to tell the city of New York that “put garbage in bins so that rats don’t congregate around it and people can walk” is another example that McKinsey & Company’s real asset is its brand. You hire McKinsey for them to say what you want them to say, and you give them money to have a fancy study with the McKinsey logo on it. #nyc #consulting #mckinsey #government #presentation #casestudy
21
9 Comments -
dave payne
The Neighborhood Studios team spent the last few days thinking about our new idea pipeline and its output. Tons of thoughts on this after being in a venture studio for 2 years. Here are some summary stats... - 1,750 new (raw) ideas considered per year. - 110 of those are given a second glance. - 66 of those are seriously considered. - 10 of those become experiments...real products in the hands of customers. - 2 of those are spun-out into studio companies. What the studio team has been discussing over the past few days is that 66 number. That's the number of ideas that 3 people on the team can dig into every year. Venture studios can be perceived as a "startup factory"...an engine to launch startups. The reality is that venture studios are a machine to invalidate ideas. We invalidate many more ideas than we validate. We touch 1,750 ideas per year, seriously dive into 66 of them, build experiments for 10 of them and only launch 2 of them. All that work turns into 2 studio companies per year that have a way higher success rate than the average startup in the wild. Said another way...startups are hard. Talk with Tapan Patel Gabe Hart Whit Anderson IV Jonathan Brinson if you wanna talk about this. They are world class.
127
30 Comments -
Lotte Vester
Did you know that 52% of knowledge workers use AI weekly? Asana’s '2024 State of AI at Work' report with Anthropic just launched and it reveals that AI adoption is accelerating, but many organizations are still playing catch-up. The AI tipping point is here. Discover how to harness its full potential: https://lnkd.in/e5sqVEZp
21
-
Steven Chabot
The Grok case illustrates the problem with first-order and second-order bullshit. For the first order, as argued in Ethics and Information Technology, LLMs like ChatGPT are bullshit machines — they produce dialogue without a reference to the truth. They make mistakes that the authors warn us not to call hallucinations, but whatever value they do deliver is fuelled by the quality of their training data. The problem with with Grok is it is built on a foundation of bullshit as an input. The experience of X has declined since it's acquisition, and is already an oracle of misinformation. Building in AI summaries is only an additional negative value to users. There are clearly valuable AI use cases, but the rush to shove AI into every product goes against every product management fundamental about prioritizing the user experience. And in the case of X it is just a further detraction from the brand's value. https://lnkd.in/gdPRzg6V
3
2 Comments -
Albert Fong
We need a Staples "That Was Easy" button. If you've ever tried to cancel a subscription, it can devolve into a game of "Where's Waldo?". Adobe is now facing the digital music from the U.S. government for making subscriptions that are too hard to cancel. It may also be a warning for other businesses that use a subscription model to reevaluate their business practices. You can't Photoshop this. In Adobe's case, the company seems to have a little bit too "Indiana Jones" by using tactics that force customers down a gauntlet of pitfalls and dead end tunnels. It's all made worse when customers are then put at risk for early termination fees to discourage them from canceling. 'Unlike and Unsubscribe' is harder than you think. But if we're being real here, cancelling online subscriptions you no longer use isn't exactly easy. Managing subscriptions can be a headache, and unfortunately, the problem is consistent across the board regardless of the service. Uncanceling streaming services like Netflix, cloud storage providers like Apple iCloud, and even digital newspaper and music subscriptions can be frustrating, as they often hide the cancellation option deep within their apps and websites. This, combined with the ease of forgetting about free trials that convert to paid subscriptions, can lead to months of unnecessary charges before you even realize it. While this may not be enough to pull out your hair, try finding contact info or even (gulp) a phone number for many of these services. And if you're thinking of using a chatbot, those are effective some of the time. But throw in anything complicated beyond what the color of the sky is, then you'll have to connect to a human. A human...if can get one. Yay when you do until you realize you're about to get a hard sell to stay. The subscription model has been a great source of recurring revenue for business. There's no doubt about that, and it certainly offers a variety of benefits. But, the tactics used by some companies (not just the ones allegedly by Adobe) are pretty blatant. It's no wonder the FTC proposed a 'click-to-cancel" rule', which would require companies to make cancellation as easy as signing up, here are some tips to help you take control now and cancel those unwanted subscriptions quickly. Of course, it's still just a pipe dream at the moment. Like Indiana Jones, you'll have to fend off the barbarians at the gate on your own. That begins with checking your credit card statements for recurring charges and using subscription tracking tools. And if you wind up sticking with services after they offered a discount for staying, keep track of those too because they all end https://lnkd.in/gd9STrFB #subscriptions #adobe #ftc #doj #government #apps #membership
1
-
Sam T.
Once again Evan has a brilliant suggestion: “A Xfinity/Netflix bundle, with broadband, a low priced Netflix ad tier, and two mobile units for your home, is much more likely to move the needle for both - as opposed to the StreamSaver bundle that gives Netflix subs even MORE TV to watch…” ✅💡 In an economy still processing inflation for the first time in most of our lifetimes, VALUE is the name of a winning game. Unlocking hidden value should be a priority- and a bundle that gives you internet, mobile, and content packaged at a low price should be irresistible and compelling in the way Prime and to a lesser extent Walmart+ are.
2
1 Comment -
Anil Dash
We distilled a full hour of exciting @fastly announcements down into a super-quick, action-packed highlight video that shows you all the new stuff in under 6 minutes, including new *free* developer accounts. https://lnkd.in/eJSReauN (And it's not just this event that we can make 10x as fast — watch to find out how we can speed up your users' AI experience that much, too!)
13
1 Comment -
Jason Spitz
Righteous indignation seems to be a theme for me this week. Not just about AI music, but about our unsustainable "growth at all costs" economy in general. The newsletter at the link below nails a lot of what makes me queasy about our macro-economy today. Bu it's summed up neatly by this quote: "Growth is a fire. If you build a nice, sustainable fire, it’ll keep you warm, cook food and sustain life. But if the only thing you care about is how big your fire is, then it’ll consume everything around it, and the more you throw into it, the bigger it’ll burn. Eventually, you’ll have nothing left, but if you desperately desire that big blazing fire, you will constantly have to find new things to burn at any cost. And we, societally, have turned our markets and businesses - private and public - over to arsonists. We have created conditions where we celebrate people for making “big” companies but not “good” companies." Read the whole thing here: https://lnkd.in/gyTQUVUW
19
4 Comments -
⚡️Arthur Castillo
Put on the spot, Jake Clare asked me what B2B content stood out to me. First thing that came to mind? The folks over at AudiencePlus, specifically their Goldenhour conference. Here's why it stood out to me: (1) Value add stage sessions - no thinly veiled product pitches. Focused on sharing frameworks and results from things that practitioners had tested themselves. Very much felt like we were learning from peers. (2) Content capture overload - 1 camera operator for every 20 attendees. Different angles. A hybrid version of the conference was airing for digital attendees. End result was 114 pieces of content that they got from a 1 day conference. (3) Perfect mix of attendees - it felt like the who's who of Linkedin. Audienceplus did a fantastic job of curating the types of people that others would want to learn from. To craft a narrative that those that are attending are the pioneers in modern marketing. Many left the conference feeling as though they'd look back, reflect and say "I was there at the first Goldenhour" TAKEAWAY Anthony has worked this playbook at previous roles (Gainsight Pulse comes to mind) and knows that it can transform an entire company's marketing machine. I've heard customer conferences can take years to be ROI positive. Most companies won't invest in one because of it. Leading companies understand that not all marketing needs to tie back to ROI. And that you can build a movement and a shared version with your raving fans that will ultimately lead to the desired results. Similar to bamboo, it takes 3 years to grow in the ground, before it sprouts and grows at an insane rate. Growth happens gradually, and then suddenly.
38
12 Comments -
Andy Crossley
It's been a pretty frantic start to our journey into the new world of Generative AI, but working with Mike and the team has shown that the opportunities are endless. Whilst some are taking about robots and singularity, I'm more excited about the real world application of our approach to Intelligent Agents and how we can bring to life use cases such as large scale knowledge management and operational analysts. These may, at face value, not sound like the sexy end of AI, but they are having a genuine impact on our clients (see our recent NR press release as an example). We continue to innovate every day and find new 'analysts' and 'assistants' use cases for enterprises. If you want to hear more about our framework and it can be used to accelerate your adoption of AI.....then Mike can explain it better than me!!! #ai #generativeai #data #dataeverywhere #datastrategy
8
1 Comment -
Albert Fong
Now that he's won the super bowl of compensation packages, what's Elon Musk going to do next? He's going to Disney as well as IBM, Apple and Sony among others to woo them back as advertisers on the X platform. Well, woo may be too strong of a vibe since it's taken him nearly seven months to reach this point. But he's softening his tone to clarify that his, um, controversial comment was a general point on free speech rather than a comment to the wider advertising industry. A shaky future has X shaking things up for better and for worse. Much of this comes at a time when X's future is a bit shaky forcing it to head into uncharted social waters. After botched launches of it blue verified check (yeah, you're real I hope) program and its various paid subscription programs, the company has continued to bleed users. A big part of the problem is the content feeds themselves, which serve up less than relevant user content and often feels like a dumpster fire of anything goes. And a recent change in policy now allows adult content. Irreconcilable differences? How that all impacts brands to advertise on X remains to be seen. Will a more controlled Elon change be a turning point? Given that many of them bailed last time because instances of their ad placements were being featured alongside toxic posts, it may be a tough sell https://lnkd.in/ghD6-pRk #elonmusk #twitter #brands #advertising #marketing #contentmoderation #content #freespeech
2
1 Comment
Explore collaborative articles
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
Explore More