Information extraction (IE) finds its roots in the early development of natural language processing (NLP) and artificial intelligence (AI), when the focus was still on rule-based systems that relied on hand-crafted linguistic instructions to extract specific information from text. Over time, organizations shifted to techniques like deep learning and recurrent neural networks (RNN) to improve the accuracy of information extraction systems.

The OKR (Objectives and Key Results) framework is an approach used by companies that sets goals to improve alignment, engagement, and performance. OKRs became well-known after being used by Google and Intel and are now widely accepted across various industries, especially SaaS businesses.

Let’s be real – client reporting often feels like the marketing world’s equivalent of doing taxes—tedious, time-consuming, and to be honest, not the reason you got into this field. Adding to the frustration is the fact that, more often than not, many clients don’t even understand their reports. That’s why marketers often talk about how reporting feels like a necessary evil. But what if we looked at reporting as a tool for client retention?

Business leaders find themselves involved in a range of high-priority tasks, most of which require making critical decisions. Let’s say you’re the sales head of a global organization. You’re ready to make an important decision about next quarter’s sales strategy, but you must first look at the right data set. You know it exists somewhere in your organization’s databases, yet it’s not within the arm’s reach.

As technology evolves, the skills gap within IT departments continues to widen. New technologies are being adopted more quickly to keep pace with business changes, necessitating a constant update of skills. Yet, fully outsourcing these skills isn’t always the solution, as they are a core part of any IT organization. To effectively address this issue, we need a strategy that focuses on continually closing the skills gap.