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.

In a world where customer acquisition costs are soaring and customer retention -- particularly retaining profitable ones -- is getting harder for every enterprise, "knowing your customer" is not just ...

The concept of CRM evolving into a "customer personal assistant" is feasible and aligns with the broader trend of AI-driven personalization and automation. However, its success depends on various ...

Artificial intelligence is changing the foundation of customer relationship management, making data-driven engagement central to how companies operate. QuickBooks has introduced the Customer Agent, an ...

The partnership between the two tech giants focuses on the bidirectional integration of data, large language model (LLM) flexibility, prebuilt actions for CRM solutions and a commitment to ...

Tap your CRM’s hidden insights. Cluster audiences, craft persona-driven ad copy, and optimize site content to boost paid media results.

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.

Understanding the specific categories of CRM data and how to use them effectively is essential to getting the highest return on your CRM investment.