Sr. Director – Technology | Sitecore Technology MVP
Discover how the open‑source Agentic Compliance Insights module brings generative AI into SitecoreAI to audit and improve your pages.
This post covers the motivation for automating compliance checks, the multi‑agent architecture behind the module, setup instructions, and how you can customize the solution for your own organization.
Continue reading “Agentic Compliance Insights – AI‑powered content governance for SitecoreAI” In today’s fast-paced digital landscape, the demand for efficient and accurate content creation is ever-increasing. Traditional methods often involve manual processes that are time-consuming and prone to errors. Anthropic’s Computer Use Model—a groundbreaking AI capability emulates human-computer interactions to automate complex workflows. When integrated with content management systems like Sitecore, this model can automate content operations from authoring to publishing at scale, and allows teams to focus on high value strategic tasks.
Continue reading “Accelerating Content Ops with AI: Automating Content Authoring & Delivery with Anthropic Computer Use” In today’s digital-first world, delivering highly relevant search results is crucial to providing exceptional user experiences. Semantic search ranking takes search capabilities to the next level by understanding the context and intent behind a user’s query, rather than relying solely on keyword matching. This approach not only improves relevancy but also enhances user engagement by presenting results that truly align with their needs. This blog explores how Sitecore Search leverages semantic search to deliver smarter, more accurate results.
Continue reading “Sitecore Search: Enhancing Search Relevancy with Semantic Search Ranking” In today’s rapidly evolving digital landscape, providing real-time, accurate, and contextually relevant customer interactions is essential but challenging. Traditional AI models are often limited by pre-training cutoffs, leaving a gap in timely knowledge delivery. Google’s Vertex AI Agent Builder, combined with Sitecore, offers a powerful solution to this challenge. Leveraging advanced machine learning models and Google Search Grounding, Vertex AI enables businesses to build dynamic, interactive AI applications that deliver current, context-driven information to enhance user engagement and satisfaction.
AI can be a game-changer, but complex tasks can hit a wall with restricted token limits. Google Gemini models boast industry-leading token limits: a whopping 1 million for the Flash model and a staggering 2 million for the Pro version. This means you can tackle even the most intricate content operations(generation/validation/optimization) efficiently by providing all the required context in your prompts without worrying about hitting a limit.
In today’s fast-paced digital landscape, leveraging AI has become essential for optimizing marketing and content operations. Integrating Azure OpenAI with Sitecore can streamline tasks such as SEO metadata generation, content validation, and more. This blog demonstrates how to integrate the Azure OpenAI, which is securely protected by Azure Role-Based Access Control (RBAC), with Sitecore using the Sitecore PowerShell Extension (SPE).
Continue reading “Unlocking AI Potential in Sitecore: Integrating Azure OpenAI using SPE”
Website Search Experience is undergoing a transformation through Conversational AI, driven by the potent GPT models from OpenAI. With the new Sitecore + Azure OpenAI connector, you can harness the robust natural language processing capabilities of GPT models and leverage them to build an intelligent chatbot powered by your real-time website content/data. This empowers you to craft compelling chatbots that not only enhance user engagement but also contribute to improved user retention.
Continue reading “Sitecore + Azure OpenAI: Elevate your Customer Search Experience with AI-driven Chatbots”