Media Intelligence
AI-driven insights for real-time monitoring of news, broadcast, social media, and web content
In today’s dynamic world – with information overload – you can leverage our entity recognition AI to monitor millions of online news, social media, licensed print, TV, and radio content sources.
In our global news and social media collection, we have more than 2.6 million content sources, including more than 2,700 broadcast stations, that together generate about 4 million articles on a typical weekday. Use our sentiment signal technology to easily determine whether content is positive or negative – down to the entity level.
Find all mentions with entity search technology.
Entity search leverages our vast knowledgebase of more than 45 million entities, enabling you to quickly and accurately find content about what you’re interested in – with the confidence that you’ve missed nothing.
Positive or negative signals allow you to surface what is important.
Sentiment is derived at the article, sentence, and mention level giving you the granularity needed for the most accurate signal in the market.
Real-time alerts keep you informed.
Watchlists monitor all media as mentions are made and alert you in real-time.
INSIGHTS
Enhancing Situational Awareness with AI-Powered Event Detection
In an increasingly complex world, situational awareness has become a critical aspect of decision making across various domains. Whether in security, emergency response, or finance, the ability...
Finch AI Launches Solutions in AWS Marketplace
Reston, Va. – Finch AI, a leading developer of trusted AI-enabled solutions for government and commercial enterprises, announced today that its solutions are now available in AWS Marketplace...
AskFinch: Revolutionizing AI Intelligence Assistance with Retrieval Augmented Generation
In the realm of AI-driven conversational assistants, the advent of large language models (LLMs) has ushered in a new era of possibilities.
Enhancing AI Assistants with Geospatial Data
In the realm of artificial intelligence, the use of geospatial data has emerged as a game-changer, empowering AI intelligence assistants to offer more contextualized and informed responses.
Parametric Data Extraction
Imagine the last time you read a product manual, maintenance guide, or technical specification document. Buried in dozens of pages of text you likely found specific measures, values, and attributes about one or more components.
Data Science 101
Ask 10 different people to define data science, and you’ll likely get 10 different answers – and that’s just among developers! Ask the general public and you’ll likely get blank stares.
Responsible AI: What it Means and Why it Matters
Thanks to the rise in AI-assisted technology, and specifically AI-based language technologies like ChatGPT and others, data science teams are doubling down on their efforts to research, experiment, refine, and operationalize various inference models related to human language.
Company Sentiment Done Differently
For many years, the ability to decipher the sentiment of a piece of text, a document, or an entire corpus of data has proven valuable.
Building a New Kind of AI Platform
Across industries, agencies, and individual organizations, leaders are tasked with making high-value, high-stakes decisions.
Attacks, Bias and Generative AI: Key Considerations for AI & Cyber
Artificial intelligence, or AI, is transforming every industry – and cybersecurity is no exception.