The next wave of value creation won’t come from pushing more data into more dashboards. It’ll come from systems that make your data understandable to AI, useful to humans, and ...
AI agents operate based on context windows - temporary, transient memory banks that let them hold a conversation or execute a task. These windows are not durable. Once the window c...
Organizations racing to implement AI solutions face a fundamental paradox: the very data infrastructure that has served them well for analytics and reporting is fundamentally misa...
For years, marketing solution providers have accepted inefficiencies in their data processing workflows as the cost of doing business. Over-provisioning, rerunning failed jobs, and...
To maximize AI decisioning platforms, they need to be fed the right information. When paired with data warehouses for big data processing and knowledge graphs for contextual insigh...
AI has the potential to revolutionize how businesses interact with their customers and optimize their marketing spend. But this potential can only be fully realized with a strong f...
Reinforcement learning is a type of machine learning where an AI agent learns to make decisions by interacting with its environment. In the context of B2C marketing, this approach ...