As we slowly begin to adapt to the warmer temperatures and as the flowers emerge my thoughts turn to all of the work that has been happening behind the scenes when it comes to the Spring 2026 Major upgrade and release for Microsoft Dynamics 365 Customer Engagement. As many know, Microsoft has been obsessed with…

Microsoft Dynamics 365 Customer Engagement: A Reference Architecture for Financial Services Institutions Delivering Trusted, Compliant, and Intelligent Client Experiences In financial services, customer experience is inseparable from trust. Whether the interaction occurs in a branch, through a relationship manager, or via a digital channel, institutions must balance personalization with regulatory rigor, data privacy, and operational…

One of the most critical concepts to understand when thinking about Microsoft Dynamics 365 Customer Engagement is the centralized experience of the Common Data Universe (Dataverse). When working with Dynamics 365 Customer Engagement modules (or call them Microsoft Developed Power Apps), they are all sharing a common source. We can take this common source and…

“Lemmatization, also known as stemming, normalizes words before counting them.”

“Azure AI Services provides direct access to both Azure AI Translator and Azure AI Speech services through a single endpoint and authentication key. Azure AI Language service can be used to access the Azure AI Language service, but not the Azure AI Translator and Azure AI Speech services. The Machine Learning service is used to…

Should you use OpenAI directly or go through Microsoft Azure OpenAI? While both offer access to powerful models like GPT-4 and DALL·E, the differences in deployment, governance, and enterprise readiness are substantial. Azure OpenAI is a collaborative service between Microsoft and OpenAI, designed for enterprise use. It provides access to the same models as OpenAI…

Observability in the world of Microsoft and AI Observability Azure AI Foundry supports Observability using some of the following evaluators: Groundedness: measures how consistent the response is with respect to the retrieved context. Relevance: measures how relevant the response is with respect to the query. Fluency: measures natural language quality and readability. Coherence: measures logical…

While both offer tools for publishing content online, they differ significantly in terms of flexibility, user experience, and ecosystem. So what are the key differences. 1. Ownership and Ecosystem 2. Ease of Use 3. Customization and Extensibility 4. Community and Support 5. SEO and Performance 6. Cost

It was with sad eyes that I learned that Typepad was no longer a product that I could use. We had an incredibly great 20 years of CRMLady posts, but with technology we have daily changes and as with all previous days, weeks, months and years I also continue to evolve with technologies. Over the…