This is the podcast dedicated to reporting for Power Platform and Dynamics 365, including charts, dashboards, and Power BI. Your Host is Ulrik Carlsson (the CRM Chart Guy).
Customer Insights with Matt Wittemann
Dynamics 365 and CRM legend Matt Wittemann joins the podcast to discuss the Customer Insights solution that was made generally available recently.
Customer Insights have been in preview for a few years. During this time they have been some iterations of the solution, features have come and gone, and has now landed on a solution tailored to analyzing customer profiles and people using varying data sources.
Matt and Ulrik make unsupervised product recommendation engines
Data Scientist Matt Lamb and Microsoft MVP Ulrik Carlsson discusses how you create product recommendation engines. A separate discipline in data science, combining content filtering and collaborative filtering, to do targeted product recommendations is not only more difficult, but possibly also one of the most lucrative.
Predictions and Analytics on Dynamics 365 Field Service
Matt Lamb joins Ulrik Carlsson again to talk about the use of data science in Field Service implementations and why Field Service implementations are particularly interesting. The wealth of data can be used for both advanced machine learning scenarios to predict failures, creating advanced DAX formulas in Power BI to optimize Work Order scheduling, and why you might want to create your own ranking of Work Order as opposed to what is delivered out-of-the-box.
Embedded experience and Power BI April 2019 Update
In this episode (brought to you by KingswaySoft), Ulrik Carlsson talks about changes to the experience of embedding Power BI in Dynamcis 365 and what is new in the April 2019 update for Power BI Desktop.
Power BI & More: Is your Power Platform data ready for Data Science/Machine Learning?
In this episode, Matt Lamb, Data Science and Commercial Analytics Lead at eLogic, rejoins the podcast to discuss what we need from our Dynamics 365 implementation when stepping into Machine Learning and AI. What do we need from our Dynamics 365 data in terms quantity and completeness to get effective results? What are the ways to deal with incomplete and what consequences does it have on your Machine Learning results when you make even simple updates to your business processes.
Data Science with Matt Lamb
In this episode (brought to you by D365UG), Ulrik interviews Matt Lamb, Data Science and Commercial Analytics Lead at eLogic
Matt Lamb joins the podcast to discuss his work and background as a Data Scientist and shed some light on what a full time Data Scientist actually does and what skills are required. Find out how a data scientist defines the term AI and how that relates to the various disciplines of machine learning, deep learning, and statistics.