Technology and Information Industries Intelligence

Navigate the world of the Technology and Information industries with precision and confidence using Bitvore's Information Technology Industry Intelligence data and insights. Harnessing the power of advanced AI & ML processes, our data-driven insights enable participants and investors in the Information Technology sector to manage risks, monitor industry innovations, spot potential disruptions and seize emerging opportunities. Key Benefits: - Informed Decisions: The latest intelligence on Information Technology companies, market shifts, emerging technologies, software breakthroughs, hardware advancements, industry sentiments, media trends, telecommunication shifts, cybersecurity advancements and much more. - Deep Dive Analysis: Comprehensive coverage of 168 Finance Topics and 37 unique ESG Topics, all filtered to spotlight the information technology sector. - Broad Data Coverage: Monitor 60k+ quality global sources, using publicly available and premium licensed data, tracking developments related to over 26,500 global Information Technology companies, both public and private. Bitvore powers data-driven actionable signals through advanced, trusted and proven AI & ML processes, enabling our customers to manage risks and identify opportunities. Our NLP and ML models analyze unstructured content and are trained to identify 17 Finance Topics (with 151 Sub Topics) and 37 unique ESG material topics (tied to SASB, the Big 4 and other taxonomies). 60k+ quality globally sources monitored for 400k+ companies globally, using publicly available and premium licensed data. Bitvore delivers timely data, insights, signals and indicators of significant developments affecting companies, industries, bonds, markets and emerging themes including Bitvore Risk, Growth, ESG, E, S and G entity and article level sentiment scores. Some sample tables are included below: - ORGS: Contains data on organizations, which represent corporate entities, companies or organizations both public and private - RECORD: a table of articles about corporate entities, companies or organizations both public and private. - SIGNALS: Contains data about topics that are identified for any given company Some Sample fields from the RECORD table are included below: - ARTICLETYPE: Type of the record, News or Press Release. - SENTIMENT: Overall Sentiment of the record within a range of -1.0 (negative) and 1.0 (positive). - SOURCENAME: Name (typically hostname) of the source of the record. - ESGSENTIMENT: ESG Sentiment of the record within a range of -1.0 (negative) and 1.0 (positive). - SOURCEURL: URL for the source of the record. - KEY: 56 character unique identifier of the data record, a record may be on multiple rows if more than one company is associated with it. - PUBLISHED_DATE: Date/time the record was initially published at as yyyy-MM-dd hh:mm. - BODY: Body of any specified article - TITLE: Title of any specified article Some Sample fields from the ORGS table are included below: - ID: Bitvore ID that uniquely identifies the company - STATE: State code of the state the company’s headquarters is located in - EMPLOYEES: Number of employees for the company within a range. - TICKER: An abbreviation used to uniquely identify publicly traded companies - COUNTRY: Country the company’s headquarters is located in - LASTMODIFIED: The date a record was last changed as yyy-MM-dd hh:mm. It’s not often but on occasion a record can be changed to reflect either new information extracted from it or improvements to models to get more accurate information, such as a sentiment value. Bitvore Data Sets also include “Layer 2” advanced tags for industries, people, keywords/phrases, relationships, and geography providing programmatic access to complex values and relationships. Industries – 3 layered hierarchy of Economic Sector > Industry Group > Business Sector People – 2.55 million plus database of reference data with accurate extraction and disambiguation Keywords/Phrases – Broad lexicon of useful text tied to conceptual meaning, scored by confidence and salience Relationships – Over 17 different types of NLP-derived relationships like Person-Title-Company or Subsidiary-of with scored evidence Geography – Bottom-up tagging of geographical references including named places and latitude/longitude mapping Sentiment – Per-entity and per use sentiment scoring specific to references/co-references Sentiment Scores - Bitvore Risk, Growth, ESG, E, S and G entity and article level sentiment scores.

搜集汇总

背景与挑战

背景概述

该数据集基于Bitvore的先进AI与机器学习技术，为信息技术行业参与者与投资者提供数据驱动的洞察，助力管理风险、监测创新并把握机遇。它覆盖超过26,500家全球信息技术公司，监控60,000多个高质量数据源，并包含组织、文章记录和信号等结构化数据表，以及行业、人物、关键词等多维度高级标签。