IDMAP.AI
Information Services
Brooklyn, NY 541 followers
We are a AI data solutions technology provider in the B2B space
About us
IDMAP.AI is a technology company that has developed a data discovery and creation platform which leverages machine learning to acquire and correlate diverse, conventional, and non-traditional data points with social intelligence to build the highly accurate business and consumer data sets, in real-time, across the globe. IDMAP.AI creates unique derivative data products by combining information identified through their discovery and creation platform with data assets provided by their publishing, ad exchange, and crowdsourcing partnerships. These channels enable IDMAP.AI to curate and augment data sets to power B2B and B2C sales and marketing campaigns, customer retention and relationship management services, location-based services, search and mapping portals, demographic and firmographic targeting, and media advertising at scale in multiple industries.
- Website
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http://www.idmap.ai/index.html
External link for IDMAP.AI
- Industry
- Information Services
- Company size
- 2-10 employees
- Headquarters
- Brooklyn, NY
- Type
- Privately Held
- Founded
- 2020
- Specialties
- AI, Data Solutions Provider, Intelligent Data Solutions, Data Platform, Data for Enterprise Businesses, Local Mapping, Geofencing Technology, Data Intellegence Platform, and Enterprise Portal
Locations
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Primary
7212 7th Avenue
Brooklyn, NY 11209, US
Updates
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Excited to share "The Data Insights Digest" – your go-to newsletter for the latest in data security and cyber threats. Stay informed, stay secure. Subscribe today! #DataInsights #CyberSecurity #Newsletter🚀
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Enhancing Privacy-Compliant Data Sourcing and Monetization Strategies Introduction: As we convene with data companies, our focus is on fortifying strategies for sourcing compliant data to develop and scale multi-channel data products worldwide. Ensuring privacy compliance is paramount in our endeavors, aligning with evolving regulations and safeguarding consumer trust. Key Points: 1. Regulatory Compliance: Emphasize adherence to global privacy regulations such as GDPR, CCPA, and emerging frameworks, underscoring the importance of ethical data practices. 2. Transparent Data Sourcing: Advocate for transparent data collection methods, fostering trust and transparency among data providers and consumers. 3. Data Security Measures: Highlight robust data security protocols to protect sensitive information and mitigate potential breaches. 4. Monetization Strategies: Discuss innovative approaches to monetize data ethically, balancing profitability with privacy considerations. 5. Consent Management: Stress the significance of obtaining explicit consent for data usage, empowering individuals to control their personal information. 6. Global Expansion: Explore opportunities for scaling data products across diverse geographic regions while respecting local privacy laws and cultural sensitivities. 7. Collaboration and Education: Encourage collaborative efforts with data partners and stakeholders, promoting awareness and education on privacy best practices. Conclusion: In navigating the complex landscape of data sourcing and monetization, our commitment to privacy compliance remains unwavering. By fostering transparency, implementing robust security measures, and prioritizing ethical data practices, we can build sustainable and resilient data products that empower businesses and protect consumer privacy on a global scale. Let's continue to engage with data companies to refine our strategies and drive positive impact in the data ecosystem. #PrivacyCompliance #DataSourcing #DataMonetizationStrategies #DataPrivacy #EthicalDataPractices #DataCollaboration #Rampup
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