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Generative AI is fundamentally transforming marketing as we know it, freeing marketers from mundane tasks so they can focus on more strategic, impactful projects. Check out our recent blog, "Driving marketing transformation with generative AI: A recap from Cannes Lions," to gain insight into how industry leaders at Pfizer, Mars, and Kenvue are harnessing AI to rethink how their teams work and fuel creativity. https://hubs.ly/Q02HZH_N0

✅ Check financial copy for compliance with this gen AI app built with Writer! The app uses Palmyra, our family of transparent LLMs, to check copy against selected guidelines, highlight snippets, and display suggested text. It’s super easy to build using the Writer Framework, its AI module, and components like pagination and custom HTML. And you can deploy it with a single command! 📈 💻 Full code here: https://lnkd.in/gTvrnZvt 👉 Docs: https://lnkd.in/ggXyB-Df Comment and let me know what you’re building! #Python #AI

“How can we ‘out delight’ our customers and ‘out execute’ our competitors?” - CIO of Ally Sathish M. A tightly-aligned CMO/CIO relationship is the key to bringing powerful technologies to their teams and subsequently fulfilling customer needs. What’s your business doing to strengthen and nurture C-level relationships to achieve your goals? In case you might’ve missed it, there’s more advice from Sathish to hear on our webinar, “Generative AI for all: The importance of democratizing AI app development in the enterprise” on-demand: https://hubs.ly/Q02HHwxP0 #GenerativeAI #CIO #CMO #Webinar

Join us for our first-ever AI Studio developer workshop on building generative AI apps! 🚀 You’ll learn: 😎 How our platform, Writer AI Studio, uses LLMs, graph-based RAG, and AI guardrails to make AI app development faster. 🛠️ How to use Writer API and SDKs for any AI project, whether you’re improving an existing codebase or starting from scratch. 💻 How to build and deploy a generative AI app by using the open-source Writer Framework in Python. Don’t forget to come with questions for the Q&A session! 📅 07/31, 1pm EST 📝 RSVP here: https://hubs.ly/Q02HFDLm0 #GenerativeAI #EnterpriseAI #Developers #Workshop

🌟 If you can describe it, you can build it — that's the promise of AI Studio from Writer. So...what can you build, exactly? We've kicked off a tutorial series to help make building with LLMs a lot more straightforward. Here's a great product use case based on real production grade usage: the release notes generator! This specific app helped our customer — a cloud provider — to transform chaotic GitLab update logs into clear, actionable HTML release notes — saving PMs literally dozens of hours every quarter each. 🚀✨ Here’s what makes it special: 💡Powerful data transformation: Starting with a messy CSV file, the app leverages Writer's Palmyra LLMs to perform summarization, cleanup, and categorization, converting chaos into structured order — with a click. 💡Interactive user experience: This is not a chat bot! You can build more intuitive UX using the Writer Framework. This app not only categorizes data into new features, caveats, and fixed issues, but also provides straightforward navigation and UX. 💡Customizable to the core: With the Writer Framework, this app is incredibly flexible. You can embed it directly on your site or download from Writer for later use. Behind this app lies the power of the Writer Framework, which enables fast development of Python web apps with a friendly drag-and-drop UI builder, and the Writer AI Studio, which enables a really easy way for, in this case, a PM with no LLM experience to build a production-grade, highly accurate and high quality AI application. ⭐️ Check out the tutorial: https://lnkd.in/gSyJDQyX

You don’t need to be an engineer to write an effective generative AI prompt. And with the right solutions, users don’t need to write prompts to use generative AI effectively. Listen to CIO Sathish M. and the Ally team’s journey with generative AI adoption and their key learnings on-demand: https://hubs.ly/Q02GYPsY0 #AIForAll #LLMs #Webinar

CIOs and technical leaders, are you navigating the complex world of generative AI for your enterprise? We understand the challenges and have crafted a guide specifically designed to empower you with the knowledge to make strategic AI decisions confidently. 📘 Download our guide: “Evaluating generative AI solutions for enterprise” Why this guide? Here’s what you’ll gain: - A clear understanding of the generative AI landscape and its potential impact on your business. - A roadmap to evaluate and integrate AI solutions that align with your company’s goals. - Insights into custom stacks, AI assistants, and full-stack platforms to determine what best suits your needs. Whether you’re considering building your own solution or purchasing a full-stack platform, our guide provides step-by-step advice tailored for enterprise needs. From boosting operational efficiency to enhancing customer experiences, learn how generative AI can transform your business. 🔗 https://hubs.ly/Q02GQ9PT0 Empower your enterprise with the right AI solutions. Start your journey towards transformative business growth today! #GenerativeAI #EnterpriseTech #CIO

💡Insights from Cannes Lions! 💡 We’re thrilled to share key takeaways from a recent panel at Cannes Lions, “Driving marketing transformation with generative AI.” The discussion was held at an event called 'Daily Double hosted at MediaLink Beach’ and moderated by Writer CEO, May Habib. Global marketing leaders from Pfizer, Mars, and Kenvue talked about how generative AI is changing the marketing world. Watch the full video or check out the recap on our blog! 🔹 Efficiency boost: Generative AI simplifies the content creation process and slashes the time needed for approvals from weeks to mere minutes, reshaping how we think about workflows, creative output, and efficiency. 🔹 Creativity unleashed: Free from mundane tasks, marketers are harnessing AI to fuel creativity and tackle more strategic, impactful projects. 🔹 Adoption challenges: Learn about the crucial role of user-friendly AI tools that keep pace with the evolving needs of today’s marketing organization. Thank you to Drew Panayiotou, Lindsay Barrett, and Matthew Fantazier for sharing your generative AI journeys and leading your organizations into the AI era. Don't miss out on the insights from the full discussion plus the opportunity to watch the panel recording 🌟 https://hubs.ly/Q02GNqcY0 #MarketingTransformation #GenerativeAI #CannesLions

Chief Market Officer Anna Griffin of Commvault joins us to discuss the company’s evolved usage of generative AI, their successful deployment of a custom chat app powered by Writer Knowledge Graph, and how it now takes her team 20 minutes to do work that used to take 8–12 hours. Learn more about how Commvault has found success with generative AI here: https://hubs.ly/Q02GDCbp0 #GenerativeAI #Cybersecurity

Last week a major tech company became the first significant employer to mention generative AI-fueled restructuring in their layoffs announcement. But they definitely will not be the last. We're laying off 1,800 people but will hire another 1,800 better suited to an AI-first future, the company essentially said. I think there's a SLEW of enterprise executives who'd love to accelerate the pace of internal AI innovation and employee productivity and wish they could do the same thing, and this is only the beginning of such restructuring announcements. But I'd like to propose an idea to these execs before they headline a layoff like this to be about doubling down on generative AI — ***Let everyone re-interview and re-structure their roles with AI before deciding to do a layoff.*** Make it a Manhattan Project, be deliberate about it, paint a vision of what your company becomes when everyone has successfully done it. Give people the tools and resources to make it happen (and actual DEDICATED TIME to learn and adapt their roles). And only THEN decide who and how you should restructure your workforce. It's not like the market is awash with knowledge workers highly skilled with how to use AI to get to 200% productivity. Yes, the skills that companies need in their employees is changing FAST. Yes, you need employees who can use AI to do their jobs. But what does that actually mean? Companies need creative systems thinkers, employees who can code up their own tools, employees who can do the work of 2-3 people in the pre-AI era. Employees who can conceive of new experiences for their customers that provide greater service at lower cost, fueled by AI. Employees who understand the weaknesses of the current generation of AI tools and can still work around them. Execs are going to start forcing the issue top-down if they don't start seeing the employees of the future show up. But they have a big role to play in building those employees. And it's going to be easier to do it from the inside. I'd hazard to guess that some of the people who got laid off last week would make for excellent AI-first employees for that second cohort that the company is going to go out and hire. People need to be given the chance, the time, and the tools.