A Guide to Converting Unstructured Data into Actionable ESG Scoring

Unstructured data sources can provide an important view of how a company adheres to Environmental, Social, and Governance (ESG) standards. Developing a Natural Language model to identify ESG content and events is an essential step which requires a collaborative effort. This white paper shares some key lessons learned and provide guidance on how to create and tune a Natural Language model to detect ESG events from unstructured data sets.

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Tractable Understanding of the World Using AI + NLP

Learn how AI/NLP analysis of the world’s unstructured textual data provides analysis, trending, correlation, and early indicators of fundamental business, industry and market changes and impacts.

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Use AI to Improve Business Strategy and Emerge a Post-Recession Winner

Focusing on AI technologies that augment your employees’ capacity, mitigate business risks and differentiate you from your competition can drive fundamental value in your business.

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Bitvore Cellenus Sentiment Scoring

In this white paper, you’ll learn how Bitvore’s sentiment scoring system can be used to improve the decision making processes.

Download and learn:

  • What sentiment analysis is and how Bitvore’s proprietary approach works
  • The types of sentiment analysis
  • How Bitvore sentiment analysis can improve your business results

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Using AI-Processed News Datasets to Perform Predictive Analytics

Find out if our AI-processed insights from unstructured data were able to predict Amazon’s HQ2 location. Download this whitepaper and learn:

  • How we leverage AI to process large datasets to perform predictive analytics.
  • How municipal, economic and corporate precision news can drive predictive analytics.
  • How we combined our data with outside requirements laid out by Amazon and predictive models to make intelligent predictions.
  • Detailed results of our predictions.

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Unstructured Alternative Data in Predictive Modeling

Data scientists can spend 60-80% of their time gathering sources of unstructured alternative data (alt-data) and preparing it for use in predictive modeling. Download the FAQ and learn:

  • What unstructured alt-data is and how it’s used in predictive analytics.
  • Why you should be including unstructured alt-data in your business strategy to make more intelligent decisions.
  • How most data scientists use alt-data to build predictive models for analysis.
  • How Bitvore’s approach differs by enabling us to deliver AI-Ready Data to our customers, saving them 60-80% of their time when analyzing alt-data.

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