Sunday, September 27, 2026

Neubranding Scholar Advises on How Companies Can Capture the Minds of Customers

Via News Video

December 7, 2023

Omid Asgari, CEO of DCG Lab, talks with us about the two sides of his passion, Neurobranding, establishment of DCG, his journey, helping key decision makers, critical problem solving, getting into the mind of customers, understanding who we are, big and small data used in his company, involving startups, entrepreneurship, answering the why question and much more.

https://youtu.be/N5NWW1E803o?si=aE6RX1JIZFoFW8J4
Interview by Miguel Salvado.
Via News Video

Video content and multimedia coverage from Via News, bringing you visual insights into markets, business, and finance.

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What we're seeing
Vertical AI Agents Attract a Funding Wave Across Fintech-Adjacent Industries
A cluster of AI-native startups applying autonomous agents to narrow, operational problems — hotel front-desk staffing (Dextr AI), identity/fraud risk for financial institutions (Baselayer), insurance distribution (Napo, Connie Health, MGT Insurance) — closed seed-to-Series A rounds within days of each other in September 2026, with CB Insights running a coordinated CEO interview series to spotlight them. The pattern points to agentic AI maturing from generic chat tools into vertical, revenue-generating products, with identity verification for AI agents themselves (Baselayer) emerging as a new fintech infrastructure category responding directly to AI-driven fraud risk.
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Satellite-Terrestrial Network Integration Acceleration
Increased investment and launches in hybrid satellite-cellular networks across telecom industry; competitive responses from other carriers; regulatory activity around satellite spectrum; expansion of emergency/rural connectivity use cases
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ING Group
Both facts record the same metric (shares_outstanding) for ING Group at the identical observation date (2025-12-31). FACT A states 2,902,437,688 shares; FACT B states 2,902 million shares (2,902,000,000). The difference is 437,688 shares (~0.015%). This is a genuine value conflict, though the discrepancy appears to result from FACT B rounding to the nearest million while FACT A provides the precise count.
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