Eight Ways Web-Reading Bots Revolutionize Market Intelligence [Webinar]

Summary of "Eight Ways Web-Reading Bots Revolutionize Market Intelligence [Webinar]"

Short Summary:

This webinar explores how web-reading bots, powered by machine vision and natural language processing, are revolutionizing market intelligence. The speaker discusses eight specific ways these bots can be used to extract valuable data from the web at scale, including custom news feeds, topical tagging, sentiment analysis, hiring and firing trends, firmographic data, and custom relationships and facts. The webinar highlights the capabilities of Diffbot's Knowledge Graph and Natural Language API, showcasing how these tools can be used to create powerful market intelligence dashboards and insights.

Detailed Summary:

1. Introduction (0:00-2:30):

The webinar introduces the concept of web-reading bots and their relevance to market intelligence.
The speaker emphasizes the vast amount of market intelligence data available on the web, surpassing offline sources in scale and velocity.
The speaker highlights the limitations of traditional web scraping methods, which rely on rule-based extraction and struggle to adapt to variations in web page structure.

2. Web-Reading Bots and Market Intelligence (2:30-4:00):

The speaker introduces Diffbot's web-reading bots, which leverage machine vision and natural language processing to extract and process data from the web.
The speaker mentions Diffbot's Knowledge Graph, a massive structured data source about organizations, as a key application for market intelligence.

3. Eight Ways Web-Reading Bots Revolutionize Market Intelligence (4:00-19:00):

Custom News Feeds (4:00-8:30): The speaker demonstrates how to create custom news feeds using Diffbot's Knowledge Graph search interface, highlighting features like topical tagging and sentiment analysis.
Evaluation Tips (8:30-12:00): Aaron, Head of Sales at Diffbot, shares insights on how customers evaluate Diffbot's tools, emphasizing the importance of defining topics, companies, regions, frequency, and sentiment for effective monitoring.
Hiring and Firing Trends (12:00-14:30): The speaker demonstrates how to use Diffbot's Knowledge Graph to analyze hiring and firing trends at specific organizations, showcasing the ability to facet by location and skills.
Firmographic Data (14:30-17:30): The speaker highlights the extensive firmographic data available in Diffbot's Knowledge Graph, including revenue estimates for both public and private organizations, and demonstrates the "lookalike" query for finding similar organizations.
Custom Relationships and Facts (17:30-19:00): The speaker introduces Diffbot's Natural Language API and demonstrates how to extract custom relationships and facts from text, highlighting the potential for specialized market intelligence applications.

4. Conclusion (19:00-20:00):

The speaker summarizes the eight ways web-reading bots can revolutionize market intelligence, emphasizing the power of combining structured and unstructured data sources.
The speaker encourages viewers to reach out for customized demos and further information.

Notable Quotes:

"The web has entirely upended the types and volume of market intelligence signals you can gain."
"The unit cost of human fact accumulation has a pretty solid floor."
"Most web scraping is rule-based scraping... it can't adapt, it can't make inferences on slightly different pages."
"We're really seeing monitoring in a lot more places than we expected."
"Don't settle for any vendors out-of-the-box data."
"There are honestly so many more queries related to articles, sentiment, and topical tagging here."
"Our out-of-the-box NLP is trained to return many commonly sought relationship and fact types, but there are plenty of specialized uses as well."