Recipe for Success: Bringing New Analysts Up To Speed with Content Intelligence Solutions

The top priority in government intelligence is identifying threats or people of interest that should be added to watchlists — but dealing with the growing amount of data and the constant churn in the analyst community, it has become nearly impossible to maintain high levels of accuracy and speed. 

Every 18 months, new analysts come in and senior officers need to bring the newcomers up to the same level as those with six or seven years of tenure. But the familiarity of terms of trade in English and depth of the knowledge of foreign languages is diminishing over time. 

When a single mistake in government intelligence could threaten lives, organizations need to find a solution to boost the effectiveness of every analyst, no matter their experience level. 

Government intelligence is shifting focus

The intelligence community is pivoting away from languages that have been important in the past, like Arabic, and focusing on far-east Asian languages, like Russian and Chinese. As a result of this transition, incoming analysts often lack the language skills needed to address the threats of today and likely feel lost when documents in unfamiliar languages are in front of them. But just because an analyst is new and isn’t familiar with every language doesn’t mean they don’t have the power to be productive. 

Machine learning is the key, and self-learning content intelligence solutions can harness the knowledge of the most experienced analysts in one system. By eliminating the need for complex queries and letting AI address the variety, ambiguity, and language challenges in data, senior analysts and newcomers alike can confidently analyze documents in multiple languages, no matter their level of experience or language ability. 

Save your resources and leave the data gathering to AI 

In the manual process, government intelligence analysts sift through the masses of documents to discover people of interest that should be monitored. A single document may even get passed around to more than 12 people! This is not the most scalable solution, as it takes an incredible amount of time and resources to sort through the growing amount of data. 

AI-powered content intelligence solutions can help organizations analyze complex information in a way that makes it easy for analysts to search for the things they’re looking for. Machine learning capabilities can process unstructured text and discover the people, places, and organizations they care about most across multiple languages. When AI is tirelessly mining the incoming data streams, analysts can focus their time on making concepts from their searches by connecting the dots and slicing and dicing the information. 

How your organization can harness the power of machine learning 

A knowledge base is only useful if analysts can efficiently find what they are looking for. Machine learning enables every analyst in an organization to keep up to speed, learn from institutional knowledge, and benefit from multiple brains working together at once. 

Basis Technology’s solution, Rosette, enables subject matter experts to use their expertise to easily curate and connect knowledge base entries and capture their institutional knowledge across more than 21 languages. If you’re ready to let AI do the busy work so analysts can focus on the big picture, sign up for your free demo of Rosette today.