Search Results: machine learning (797)

As a senior executive or CIO, how can you assure yourself that artificial intelligence (AI) or machine learning (ML)-derived recommendations are reasonable and flow logically from the project work that has been performed?

While you want to be supportive and encouraging of your team’s work, you don’t want to be misled inadvertently and you want to confirm that the data science team hasn’t misled itself.

Do you have critical customer data in multiple databases? Are you looking to consolidate true customer profiles and use machine learning capabilities to drive predictive sales, marketing, or service? This ‘CI in 60’ session will give you the ins and outs of using Customer Insights across multiple data sources, as well as provide a glimpse into the power Customer Insights provides organizations of any size.

The content of this session is geared toward an audience with intermediate-level knowledge of the subject area.

Production planning is part of inventory planning and it cannot be learned separately, but there are still some specifics available only in the production process. In this session, you will see how to configure inventory planning and how to add all specific for production planning. I’ll explain how to configure production forecast and its relationship with MRP and MPS processes. Also, you will see interdependence of all documents and entries with planning system. On the end we will pass through embedded Machine Learning and how we can use it in planning process. 

This session will be available for CPE credits pending completion of session survey post event.

Level: Intermediate

Learn how to set up and use the Demand Forecasting functionality in D365 for Finance and SCM. We will talk through the algorithms available for forecasting and how you can tweak the settings and control the machine learning project. We will also discuss examples of how to extend the functionality and bring more life to your machine learning project. Learning Objectives: understand Time series models and algorithm parameters needed for statistical forecasting in D365; understand how to use Forecast models for forecast comparison and analysis; define how forecast models can be used to feed plans and fulfill an S&OP process.

The content of this session is geared toward an audience with intermediate to advanced-level knowledge of the subject area.

This session will be available for CPE credits pending completion of session survey post event.

Ever need to look in multiple places to understand a customer’s profile? Ever find that prioritizing leads and nurturing prospects are challenging? Is your customer information lacking?

Customer Insights uses AI and Machine Learning to provide a 360° customer view. With Customer Insights, Dynamics 365 delivers the ability to connect to multiple data sources, model profiles of customers, their interactions and insightful KPI’s.

In this demo heavy session, we’ll demonstrate building a customer profile and show how you can use the results for increasing sales, marketing and service effectiveness. Then display it inside of PowerApps, Mobile, and BI tools.

Customer-centricity is now a de facto business imperative and improving the overall customer experience is a top priority. But delivering connected experiences is often challenging given the systems and data are often siloed in ways that mirror organizational structures. Join this session to learn how Dynamics 365 Customer Insights, Microsoft’s customer data platform, can enable your organization to gain a 360-degree view of your customers across channels and drive proactive business processes. Extend the solution using Azure Synapse Analytics to combine customer data with financial, operational, and unstructured IoT data to build custom machine learning models and gain AI-driven insights.