Challenges & Requirements for Building a Predictive Analysis Model
Predictive Analysis
What is, Where is Used
Predictive analysis is a branch of data analytics that ...
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Predict User Intent with Machine Learning (AI, Recommender Systems)
Intent Marketing
Intent data is the behavioral and transactional information collected from...
Building an ABM Foundation Data-driven account selection and modeling
Account based Marketing
Account-based marketing (ABM) focuses a vendors marketing and sales...
Predictive Lead Scoring vs. Traditional: Features & Challenges
What is lead scoring?
According to Wikipedia, lead scoring is hierarchically ranking prospects...
AI and Analytics: Unlocking B2B Prospecting Potential with User Intent Data
User Intent Data – In a B2B context
'User intent data' are digital clues people leave across the...
AI-Powered B2B Content Personalization Based on Live User Intent
Introduction
Traditionally, content management systems managed both B2B and back-office platforms....
Artificial Intelligence in Digital Process Automation
Business process management
Business processes are (people or system) activities and information...
Challenges in Enterprise Integration for Digital Transformation
What is Enterprise Integration and where is it needed?
Today, organizations rely heavily on...
Best Microservices Framework for Java
What is Microservices?
Microservices are smaller modules of code that address specific business...
What is B2B Predictive Prospecting?: A Guide for B2B Marketers
What is B2B Predictive Prospecting?: A Definitive Guide for B2B Marketers
Predictive prospecting...
Elastic load balancer: What it is and how does it work?
The cloud is one of the most disruptive technologies and affordable solutions for your enterprise....
Design Principles of Application Integration Architecture
There are multiple methods to application integration architecture. The first method is creating a...