Does Company Surge Analytics platform use AI? And where?

Company Surge Analytics uses AI in various areas, including content understanding, natural language processing, intent signal analysis, business identity mapping, predictive analytics, data processing and analysis, and continuous model improvement. The platform uses advanced machine learning techniques, including BERT-based models, to analyze web page content, categorize content into topics, detect and analyze intent signals, resolve pre-purchase signals, and predict in-market for products or services. The platform also processes and analyzes data from the Bombora Data Co-op, which captures buying signals from nearly 4 million domains. Bombora's data science team continuously improves their AI models, resulting in highly accurate, context-aware intent data for businesses.

What AI does Company Surge Analytics use? ChatGPT, etc.?

Company Surge Analytics by Bombora utilizes several advanced AI and machine learning techniques in its platform, but it does not specifically use ChatGPT.below are some AI technologies employed by Company Surge Analytics:

Natural Language Processing (NLP): The platform uses sophisticated NLP algorithms to analyze and categorize web page content into Bombora's 8,500+ content topics.
BERT-based Machine Learning: Bombora employs BERT (Bidirectional Encoder Representations from Transformers) models, which are advanced deep learning techniques for NLP. These models help in understanding the context and meaning behind the words on a webpage, providing a more accurate picture of buyers' interest and intent.
Content Understanding Model: Bombora has developed its own proprietary Content Understanding Model, which uses machine learning to evaluate and categorize web page content. Recently, they released a new version of this model that showed a 30% improvement in accuracy over the previous version.
Advanced Machine Learning Algorithms: The platform uses these to detect and analyze intent signals from the vast amount of data collected across Bombora's network of B2B websites.
Predictive Analytics: Machine learning is leveraged to measure changes in purchase intent and predict which companies are likely to be in-market for specific products or services.
Large Language Models: Bombora does use large language models as part of its AI toolkit to understand and process the content it analyzes.

It's important to note that Bombora's AI technology is custom-built for their specific use case of analyzing B2B intent data. Rather than relying on general-purpose AI like ChatGPT, they have developed specialized models tailored to understand business content consumption patterns and derive meaningful insights from them.