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Victor Dey
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Victor Dey

Industry Analyst - AI, Quantum & Emerging Tech

AS SEEN ON
Fast Company, Forbes, The AI Journal, Observer, RamaOnHealthcare

Preston's Summary

Victor Dey is an Industry Analyst specializing in AI, Quantum, and Emerging Tech at VentureBeat. He covers a range of topics including breakthroughs in artificial intelligence, machine learning, and data science, with a focus on autonomous systems and generative AI. Victor's insights and analyses have been featured in numerous prominent publications such as Fast Company, Entrepreneur, and The Techstreet Now.

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Geo Focus

Coverage Attributes:

Beta
Informative: 53 %
Data Driven: 26 %
Interviews Q&as: 16 %
Events: 1 %

Themes Covered:

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Most Recent Topics:

  • Autonomous Systems
  • AI Platforms
  • Generative AI
  • Software as a Service (SaaS)
  • Deep Learning
  • Cloud Computing
  • Energy Policy & Regulation
  • Nuclear Energy

Pitching Insights

Victor's coverage revolves mainly around press releases and private sector announcements, with a strong focus on the crypto & blockchain industry. His interest in AI, technology, and gaming is also apparent but to a lesser extent.

Pitching to Victor Dey would be most effective when offering exclusive insights into groundbreaking developments within the cryptocurrency and blockchain space or related fields such as AI and technology. He seems particularly interested in news directly from companies or organizations rather than general market analysis.

Given Victor’s lack of specific geographic focus, he appears open to international stories related to these industries.

This information evolves through artificial intelligence and human feedback. Improve this profile .

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Articles

Forbes

Databricks CEO Says He’s Cracked A 40-Year-Old Database Problem With LTAP

Databricks CEO Says He’s Cracked A 40-Year-Old Database Problem With LTAP

By: Victor Dey

Databricks CEO and co-founder Ali Ghodsi asserts that enterprise AI's true bottleneck lies in the 40-year-old divide between operational (OLTP) and analytical (OLAP) data systems. At its Data + AI Summit, Databricks unveiled LTAP, or Lake Transactional/Analytical Processing, a revolutionary architecture that allows both transactional and analytical engines to operate directly on a single, open-format data copy. This "one data, zero compromises, zero copies" approach, built on Lakebase, aims to fundamentally reshape enterprise data infrastructures for the agentic AI era.

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