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Every industry is buzzing about generative AI’s potential, but medical affairs in pharma face unique challenges that demand tailored solutions. As a leader in this field, you’re likely wondering: where do we begin? How can we make an immediate impact? And what practical steps can we take to integrate generative AI into our operations? Check out our latest webinar recap, where experts Rob Stevens and Zayed Yasin share their four steps to implementing generative AI in pharma. Don't miss out on this valuable information! Read the full recap now and discover how generative AI can revolutionize medical affairs. https://hubs.ly/Q02WPbW20 #GenerativeAI #Pharma #MedicalAffairs

Are you looking for an efficient and reliable way to empower your enterprise AI? If so, you're in luck! Our latest article introduces retrieval-augmented generation (RAG) and the Writer Knowledge Graph approach, which can help you generate more accurate and contextualized insights, make informed decisions, and reach your destination efficiently. Think of RAG as AI's trusty GPS system– it helps the language model pinpoint the precise location of information and deliver it to an end user. The Writer Knowledge Graph approach takes this concept a step further by using a knowledge graph to organize the information retrieved by the language model. This allows the model to better understand the relationships between different concepts, which results in even more accurate and informative results. Check our our article to learn more about the power of RAG. We'll walk you through the process of using these techniques to generate text, and we'll show you how they can benefit your enterprise AI applications. https://hubs.ly/Q02WGNm_0 #GenerativeAI #EnterpriseAI #LLM

🎃 Discover how generative AI is banishing business nightmares this Halloween! 🎃 -Uncover the secrets of generative AI as it vanquishes business bottlenecks with eerie effectiveness   -Eavesdrop on one CEO as he conjures tales of AI as a strategic advisor, casting spells to enhance decision-making and dispel the shadows of human biases -Peer into the ghostly realm of virtual care, where CirrusMD employs generative AI to automate the mundane, making patient care not just faster but spookily efficient -Behold the power of Palmyra X 004, a spectral force in AI that weaves through systems with ghostly precision, automating workflows and casting digital spells across languages and modalities, leading the pack with its chillingly accurate tool-calling 🪦 Read more here … if you dare:

Vendor lock-in in the enterprise is a big issue, but generative AI turns the traditional conversation on its head. It’s harder to find a direct equivalent to previous technology waves — ie, choosing SAML over active directory or hybrid cloud vs going all in with a single cloud provider — in generative AI. Why? Because there’s almost no such thing as an LLM-agnostic application — so by definition, you are “locked in” — you can’t build an app where you can easily swap one model for another with no re-work. Continuous rewrites for LLM updates might be manageable for a few apps / use cases, but is hard to scale, and is in fact a reason so few companies have 100s of apps / use cases in production. What enterprises should be optimizing for in generative AI is SELF-RELIANCE, which is the ultimate freedom from vendors. Your proprietary assets as an enterprise in generative AI are the golden four—  - Your use cases + business logic - Your data and examples - The in-house talent that can build, iterate, scale, and maintain these apps - The capacity of your organization to learn and change It’s utterly meaningless to have no “vendor lock in” on LLMs — because it all falls down anyway if you change the LLM — and your only path to self-reliance is to have the above. Enterprises should be trying to choose vendors who can truly partner to help build the golden four —  partners that don’t look at an enterprise as just another API key. For our part, the Writer full-stack generative AI platform helps companies build highly scalable self-reliance in generative AI by: - Making it easy to separate the model from the business logic - Making it easy to separate the examples and data from both the business logic and the models - Allowing non-engineers to update / change models in a no-code environment - Building LLM families that are “backwards compatible” to minimize rework and not distilling / quantizing models and causing unnecessary rebuild - Making it scalable to manage 100s of generative AI apps and workflows at once

Are you looking for a way to improve retail customer engagement and loyalty? Personalization is key. But creating personalized experiences at scale can be a challenge. That's where generative AI comes in. The Writer generative AI platform can help you create bespoke content and recommendations for each customer, no matter how large your audience is. Our new starter guide will show you how to use our platform to create personalized experiences that drive engagement, differentiation, loyalty, customer lifetime value, and revenue. In this guide, you'll learn: * How to identify and fast-track the top personalization processes primed for generative AI enhancement. * How to tailor a personalization strategy for each use case. * How to fuel AI with targeted personalization samples. * How to build and deploy apps and workflows tuned to your retail business. * How to bring accuracy and relevance to every retail customer touchpoint. * How to enforce your unique brand rules and stay compliant. Download the guide now and start using generative AI to create personalized experiences that your customers will love. https://hubs.ly/Q02WdFsx0 #RetailPersonalization #GenerativeAI #CustomerEngagement #CustomerLoyalty

Featured in this issue, in partnership with Writer: 🤖 Google is reportedly developing a ‘computer-using agent’ AI system 🏛️ Dr. Ronnie Chatterji named OpenAI’s first Chief Economist 🇺🇸 White House issues National Security Memorandum on Advancing AI Leadership 🔗 Escaping AI POC purgatory with graph-based RAG 🇲🇾 Malaysian PM to inaugurate National AI Office in December Read more: https://lnkd.in/gHWuhqjb

AI-native apps are fundamentally changing the way businesses work by integrating AI into their core. They're more than just software tools with AI features tacked on. AI-native apps are thought partners that can make smart decisions and adapt to changing data and processes. How AI-native apps can help your business: 🧠 Improved decision-making with contextual intelligence and predictive analytics ⚡ Automated tasks with natural language interfaces and autonomous decision-making 🔁 Faster development cycles, automated code generation, testing, and debugging 💡 Continuous learning to stay ahead of the competition Ready to lead your company into the future? Learn how to transform your business operations: https://hubs.ly/Q02VWd380 #AI #EnterpriseApps #FutureofWork

With a background influenced by both art and computer science, Chantal Forster (AI Strategy resident, Annenberg Foundation) finds that the key to helping organizations embrace new technology like AI isn't just about the tech itself. “When I work with organizations around embracing emerging tech like AI,” Chantal explains, “it's actually about building culture.” While tech fluency and strategy are important, she says the core of successful tech integration is about creating the right conditions for people to thrive and adapt. Check out the full conversation on the latest episode of Humans of AI - Presented by Writer wherever you get your podcasts. https://hubs.ly/Q02VzrFy0

"I've always been drawn to the intricacies of how to execute on something bigger than a single individual." Chantal Forster, raised on Chicago's industrial south side, finds her background influences her current work in philanthropy. Growing up amid the "guts of greatness" that power a city, she's fascinated by the challenges involved in carrying out large-scale projects. Now, she tackles the intricate operations side of philanthropy, serving as the AI Strategy resident for the Annenberg Foundation. She highlights that technology is the backbone of modern philanthropy, mediating every interaction between nonprofits and foundations. Check out the full conversation on the latest episode of Humans of AI - Presented by Writer wherever you get your podcasts. https://hubs.ly/Q02VzvWz0

Is your organization stuck in AI proof-of-concept purgatory? Our latest article reveals how graph-based RAG can help you break free and scale generative AI in your enterprise. Discover how leading organizations are using Writer Knowledge Graph to drive real business results in investor relations, sales enablement, and healthcare analytics. Don't miss out on this opportunity to reshape your AI strategy. Read now and register for our upcoming webinar to gain a practical roadmap for overcoming critical challenges in AI engineering. https://hubs.ly/Q02VVZhK0