Steve Silvers

If you're a news publisher looking to get a 360 view of your organization performance to receive insights and recommendations, you can now use a free AI-powered reporting assistant from Google. We've launched News Consumer Insights 3 (NCI 3) where you can connect your Google Analytics, Search Console, Ad Manager or AdSense accounts to build deeper insights. Watch the video to learn more. Durga Raghunath Swetha Susan Elias Abhishek Mathur Gunjan Singhvi Killol Buch Avijeet Boparai https://lnkd.in/gQQq4E4N

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Cohere's Embed 3 is now multimodal, which means search systems just got the ability to see. It’s our best embeddings model yet - encoders share a unified latent space, making it easier to work with both data sources simultaneously. It comes with SOTA performance at mixed text+image search and keeps leading at multilingual and key retrieval tasks. It's perfect for enterprise use cases where employees need to find information within massive libraries of data. Excited to see what you can build!

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Leaving aside the icky-ness of several hundred talented, hardworking people finding out they no longer have a job via a sentence in an earnings call, Oracle's quiet announcement that they are shutting down their ads business leaves a substantial hole in the market for users of their audience solutions- which are being used on actively running campaigns- with very little practical guidance being provided. If you find yourself in this situation, you should know that in addition to being a branded solution in Oracle, Proximic by Comscore's data powered much of Oracle's white labeled audience solutions, and that data is broadly available across all programmatic environments. Furthermore, our contextual solutions can help Grapeshot users seamlessly transition away from those solutions to our ID-less contextual audience solution, IAB category targeting, brand suitability etc. Please reach out if you need help or have been using Comscore data in Oracle and are not sure where to go from here. Lastly ( and most importantly) - If you worked at Oracle ads and are now job hunting, Proximic by Comscore is #hiring for a few different roles and we'd love to hear from you 💕

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Overheard gripe about about intent tools: they’re a black box ⬛ Sure, one could argue that they help with account prioritization because some unknown person from said account consumed some loosely related content. But that’s hardly actionable. What’s better? Actionable account-level signals like: - Target account has more than 20 engineering roles open - 7 economic buyers from an account visited our site in the last 30 days - There are more than 10 ideal prospects at target account ☝️These signals not only help with prioritization but they help with action–i.e., they provide context for how to get into the target account. And that’s exactly what we’ve unlocked with a new Common Room feature: calculated fields 🎉 Now you can: ✨ Auto-aggregate key buying signals and fit criteria across any account. ✨ Create a prioritized view of accounts and power account scoring based on the signals that matter most and how much signal each org generates. ✨ See the people, postings, and news items behind the signals with a single click and take action without switching screens. We view this as a new flavor or account-level intent. The difference is it’s totally transparent, super specific, and highly actionable. Think of it as more signal for your signals—an automated way to quickly reveal the needles in your haystack and take action on them just as fast. And this is just the start! More signal aggregation options are on the way. See our blog announcement for more info: https://lnkd.in/eXPrxhfv

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ENTERPRISE SAAS STICKINESS - WHAT STICKINESS? This news from Klarna should have every enterprise SaaS company shaking in their boots. If an internal team using AI can replicate 20+ years of work and customization from Salesforce and Workday, to the extent the company doesn't feel the need to pay for these tools any more, everything we know about stickiness and durability of enterprise software needs to be rethought in the light of AI. In fact, their comments indicate that they were use AI to able to rethink the products from first principles and make them simpler and easier to use: "with the help of AI, the company is able to standardize and create a more lightweight tech stack to operate more effectively with higher quality". https://lnkd.in/gE9FRw9f I wouldn't be surprised if the mandate of the head of IT at large enterprises gradually expands to not just negotiating supporting enterprise software licenses but replacing them with custom-built products from the ground up, especially for the largest software products that cost 7-8 digits per year.

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“People do business with people. Not ideas, not products, not machines, not tactics, strategies, not even money. So you better get the people part right if you really want to succeed. Interpersonal competence is a determinant of both personal and professional success.” Powerful people tips from Carole Robin, Ph.D. in Lenny's Newsletter: ⭐️ In any exchange between two people, there are three realities:  1️⃣ My reality: my intent, how I see the world, my background, my history  2️⃣ My behavior (verbal or nonverbal): what I do or say or don’t do  3️⃣ The impact: whatever happens on your end, how you see things, your background When we don’t recognize that those three realities exist, we don’t understand that we are only privy to two out of the three. ⭐️ The art of inquiry in conversation Helps you better understand yourself + what the other person feels 1️⃣ Approach the conversation with the mindset: is there something for me to learn? (suspend judgement) 2️⃣ Ask questions that start with WHAT, WHEN, WHERE or HOW (don’t start with WHY, it makes people defensive) ⭐️ Know how to repair in conversations   1️⃣ One of the most powerful things you can do when somebody responds in a way that feels very unexpected and out of whack with what you just said is: “What did you hear me say?”  2️⃣ "Now that I understand that that’s what you heard, I understand why you reacted the way you did. Let me try it again."

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Will AI Follow the Path of Paylater and Chat? 🤔 In the world of product management, the debate between standalone products and integrated features is forever. I've lost count of how many times I've passionately argued both sides! https://lnkd.in/gAdrSdpp That's why this video on "AI the Product vs AI the Feature" immediately caught my eye. The parallels to the evolution of Pay Later and Chat are striking: 1️⃣ Paylater and Chat both began as standalone products, but have increasingly been absorbed as features into larger platforms. Will AI follow the same trajectory?  2️⃣ AI has long been a behind-the-scenes feature - think recommendation engines and chatbots. But the meteoric rise of ChatGPT and generative AI has catapulted it into the spotlight as a potential product by itself. The implications for product strategy are profound. Do we invest in AI as a differentiating feature or a revenue-generating product? The answer will shape the competitive landscape for years to come.

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Calling all experienced CPOs or product leaders! If you've ever wished for a leadership culture that truly gets outcome-driven product management, this opportunity might be your dream role. Imagine stepping into an environment where the CEO champions short learning cycles, continuous discovery, outcome-based success metrics, and empowering teams to deliver iterative value for customers to drive business success. No more trying to convince others why this approach works—you’d be hitting the ground running in a culture that already embraces it. Know someone who’d thrive in this type of culture? Share this CPO opportunity with them today—it could change their career.

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Learn how leading online travel agencies are deploying virtual cards to simplify their payments to suppliers. We’ll explore why virtual cards provide an advantage in the fight against fraud, inefficiency, and excessive costs.

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Join me for a round table discussion with restaurant leaders to talk about the math behind 3rd party advertising. If you're running promos or ads on 3PD, you need to hear this. CMOs, CFOs, CEOs.

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Stay ahead of the competition with an AI center of excellence. Learn how to gain the right #AI resources, skills, and strategies: https://lnkd.in/eArUqqgd

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This great article solidifies -- with data -- what we already know from experience about the benefits of first-party digital ordering and loyalty programs with program-backed info from Paytronix.

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Excellent and actionable advice on how to drive a transformation within an organization.

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There are no more easy wins. You have to be as creative about building your business as you are about building your product. That means defensibility, network effects, speed... My colleague Pete Flint on a strategy that's not used enough: https://lnkd.in/gr_ycDQ8 Pete Flint NFX

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📊 Melinda Tellez is a data scientist, strategist and leader with a proven track record of unlocking organizational growth through data-driven insights 📊 It's W12 / Q4 / 2024 and this week in our MGMT Boston up & coming operator series we’ve got Melinda, who collaborates with informatics teams, engineers, and business leaders to deliver impactful solutions that align with strategic goals as the Director of Data Science at Clarify Health Solutions , an enterprise analytics and value-based payments platform company. With comprehensive experience across the data and MLOps lifecycle, Melinda specializes in designing, developing, deploying, and maintaining analytics and machine learning models. She has delivered predictive analytics, retrospective modeling, and cutting-edge solutions tailored to various payer and provider use cases. At Clarify, she started by building and maintaining ML and predictive analytics pipeline architectures at the company. But the role evolved into also ensuring high post-processing observability and creating robust reporting capabilities for customers to interpret the data. 📝 Architecting Solutions: A Problem-Solving Approach 📝 In both her professional and non-profit roles, Melinda approaches data architecture much like a doctor diagnosing patients—she begins by asking her "patients" to share their pain points. After all, everyone faces data challenges, and Melinda excels at guiding stakeholders to uncover and articulate solutions. Before diving into design, it’s crucial to ask: -What are the specific pain points your organization faces? -Where are you aiming to create impact? -What datasets, tools, teams, or infrastructure do you already have to support these concerns? The answers to these questions establish a foundation of understanding and provide critical insights for mapping an architectural path—from conception to production. Addressing the common bottlenecks: Most challenges arise in the middle of the process. Often, people struggle to clearly define their problem or articulate their desired outcome. Conversely, individuals may rush to a solution without evaluating their options. She encourages teams to frame challenges thoughtfully, ensuring workflows and solutions advance their ultimate goals to where they want to be. 2 Career Insights for Data Professionals 🔎 Attention to Detail is Key – Especially in Healthcare Healthcare data is among the most complex to work with due to changing and complex regulations and the dynamics between payers and providers. If you're considering a career as a data scientist or analyst in this space, a deep passion for understanding the industry will go a long way. 🙇‍♀️ Commit to Constant Evolution The data science field—along with its tools and technologies—is evolving at lightning speed. To thrive, you must embrace lifelong learning and adapt to industry changes as well as focus on building expertise in areas that align with your strengths and career goals.

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ZI Labs is headed to Seattle and Chicago this week—are you around? Join us this week for two amazing events: 1) Seattle: GTM Plays Cooking Class Wednesday Oct 16th, 6 pm PT Millie Beetham and I believe in the power of signals and storytelling in GTM, much like a classic recipe. Just as cooking requires the right ingredients, timing, and techniques to create a memorable dish, a successful go-to-market strategy demands the same attention to detail.  Join us for an amazing evening of cooking, dinner and learning. We’ve got 12 amazing GTM Leaders signed up from Stripe, Outreach, Highspot, Airtable, Salesforce and more!  Have one more spot. Who is in Seattle we should know about? 2) Chicago: AI + GTM Masterclass (and then dinner), Thursday Oct 17th, 3:30 pm CT Join us this Thursday for an AI + GTM Masterclass, where we’ll explore how to blend AI into your strategy. We’ll create a recipe for success that fosters innovation and connection, moving beyond just AI copywriting. Discover how AI can save time for your sellers, brainstorm opportunities within your territory, and streamline your team’s GTM efforts. What You’ll Learn: 🔍 AI’s Impact: Discover how AI is reshaping the B2B arena and how you can leverage its power. 🛠️ Blueprint for Success: Develop a comprehensive AI readiness framework to assess your capabilities, identify gaps, and implement effective strategies. 🤝 Network & Collaborate: Connect with like-minded leaders from the Chicago area, sharing experiences and insights in a dynamic environment. 2 spots left, so don’t miss out! DM me or tag someone in Seattle or Chicago if they should join us. Let’s unlock the potential of AI together! #AIMasterclass #GTM #AI

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Synthesis and disambiguation. A leadership trait, that unlocks leverage when you allow for collective brilliance of multiple individuals to manifest itself. H/T - Our weekly design newsletter at work.

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Experimentation has become much clearer and more accessible. With better defined roles, steps, and tools, companies are beginning to democratize the process throughout the organization. Let the learnings flow! Great article by Sven Schmit, Ramesh Johari, David Holtz, Martin Tingley, Iavor Bojinov #Experimentation #Innovation"

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The report, based on responses from around 750 tech professionals, indicates a measured sentiment towards AI, with a recognition of its potential alongside an awareness of its limitations and hype. While AI adoption is growing, it is not as explosive as media narratives suggest, with a significant portion of companies still in the early stages of maturity. Leadership is keen on investing in AI, particularly in smaller and larger companies, with Product and Engineering teams leading daily AI tool usage. The report also notes the prevalence of chatbots, the nuanced impact of AI on jobs, and the varying degrees of satisfaction with AI stacks across industries. There is a clear trend towards customizing AI models, with a focus on fine-tuning and bias mitigation, and a significant uptick in the use of vector databases. However, challenges remain, including data security, resource allocation, and the correct use of GPUs. Overall, the report suggests a maturing landscape where developers and businesses are learning to navigate and leverage AI technology effectively.  https://lnkd.in/e2AEzncW

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