Fractured and incomplete datasets are a key barrier towards effectively training AI models for deployment in healthcare settings.

CRM models can help you contextualize all your customer data for more powerful lead nurturing, helping you close more deals.

Kolsky sees the hosted cloud as a poor model, used primarily by technology laggards and late adopters of CRM in the cloud. MANAGED CLOUD Pros The managed cloud model is similar to the private cloud ...

Today, Aurasell launched as the world’s first AI-native CRM platform, a full-featured GTM solution built for the new agentic ...

By considering CRM solution delivery as a phased progression of delivered benefit, as outlined in this capability maturity model, organizations can increase the effectiveness of decision making over ...

Microsoft's coming Dynamics 365 ERP/CRM service has something called the 'Common Data Model' at its core. Here's more on what CDM is and why it matters.

Centralizing data & easy software integration As a recruitment agency shifts its operations to a remote model, the need for multiple software solutions might become overwhelming.

MaxPoint helps marketers in the CPG, retail, finance, insurance and auto sectors deliver messages to customers near local stores that need a marketing boost. Now those marketers are itching to use all ...

Beyond the data, technology and channel, CRM is a philosophy that drives marketers to provide customers with what they need when they need it – or even before they know they need it.

In cloud CRM systems, some of the messiest novice errors come from a misunderstanding of the object model. Leads are confused with opportunities. Assets are confused with products.

Fractured and incomplete datasets are a key barrier towards effectively training AI models for deployment in healthcare settings.