Azure Machine Learning
Now that we understand more about the offering, Microsoft's goals and intentions are coming into focus.
Your organization's data could hold the answer to some your biggest questions about product and market success.
Exploring three cognitive services tools that can add improve to a service agent's performance with D365 and Unified Service Desk.
Field service readiness and sales lead Ben Vollmer will talk new opportunities for customers and partners at eXtreme365 EMEA and other events this spring.
Don’t be distracted from the critical ERP implementation challenges that vendors still haven’t solved.
What we learned about Microsoft’s CRM roadmap in 2017, and how it fits with broader cloud tech plans.
A selection of announcements from the Microsoft Dynamics partner channel
A selection of announcements from Microsoft’s Connect() 2017 event
A selection of announcements from the Microsoft Dynamics partner channel
Azure Machine Learning can predict even such flighty, fluctuating costs as airline ticket prices. Stefano Tempesta describes how and previews his Directions EMEA 2017 session.
Azure Machine Learning can generate a kind of “credit score.” Stefano Tempesta describes how, and previews his Directions EMEA 2017 session.
Experts offer best practices and use cases that CRM users should remember when considering a new ML endeavor.
Microsoft Dynamics 365 for Operations answers the demands of disruptive retailing, like a 360-degree customer view and online purchase with in-store pickup;
Indegene to integrate its Omnipresence suite with Microsoft Dynamics 365 for Sales to improve performance of sales and medical representatives
Online user help (good enough?), implementations set right, digital urgency, social selling, mobile apps and more
Customer profiles in Microsoft Dynamics CRM, amplified by data from Azure IoT, enable you to predict demand and optimize availability