
- June 4, 2019 | MIT News Office
A 3-D printer powered by machine vision and artificial intelligence
- February 13, 2020 | MIT News Office
Bringing artificial intelligence into the classroom, research lab, and beyond
- June 19, 2020 | MIT News Office
Bringing the predictive power of artificial intelligence to health care
- March 5, 2019 | MIT News Office
Making a path to ethical, socially-beneficial artificial intelligence
- June 19, 2019 | MIT News Office
From one brain scan, more information for medical artificial intelligence
- January 29, 2020 | MIT News Office
Gift will allow MIT researchers to use artificial intelligence in a biomedical device
- August 21, 2019 | MIT News Office
Artificial intelligence could help data centers run far more efficiently
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Activate Customer Data with Decision Intelligence: iCustomer
Activate Customer Data with Decision Intelligence
Abhi Yadav, Co-Founder & CEO, iCustomer
iCustomer: https://www.icustomer.ai/GTM teams are overwhelmed by fragmented data across platforms, leading to ineffective targeting, false signals loop, wasted time, and frustrated buyers and sellers. This chaos results in high acquisition costs, bad retention and missed opportunities.
iCustomer's agentic AI platform unifies first-party and third-party customer data to deliver actionable intelligence. The system automates decision-making and orchestrates optimized GTM plays, enabling teams to execute with precision and efficiency.
Our Identity Resolution Engine creates immutable IDs mapped to hundreds of external data sources, while our Decision Intelligence Layer activates optimal GTM plays powered by AI Agents. The platform continuously optimizes CAC, LTV, and Ad ROI through machine learning and real-time market signals.
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2022-Korea-Showcase-Aura-Intelligent-Systems
Reimagining Radar for Autonomous Vehicles and Drones -
Past Deadline: May 8, 2020
Nexa's Covid-19 Challenge 2. Data intelligence for public management
otherNexa is seeking innovative solutions that allow consolidating data on the pandemic, generating information on prevention and care actions, allocating resources more efficiently and using geolocation to support faster and better decision-making in fighting the pandemic.