Navigate the intersection of AI and privacy
PCQuest|April 2024
The evolving landscape of AI deployment, emphasizing the growing recognition of the need of having on-premise AI solutions and the need for customization to meet specific organizational needs
Ashok Pandey
Navigate the intersection of AI and privacy

In the ever-evolving landscape of artificial intelligence (AI), conversations around decentralized control models have gained significant traction. We had the opportunity to delve into this topic with Arjun Reddy, Co-founder of AI Venture Factory & HaiVE, to get insights into the implications of this shift on various industries.

▾ Evolving AI Landscape

Reddy points out that the excitement surrounding AI has led to a recognition of the need for on-premise AI solutions. As pioneers like ChatGPT bring AI into the mainstream, organizations of all sizes are realizing the importance of running AI processes locally. This transition not only ensures increased data security but also fosters better compliance with local data protection laws. However, Reddy highlights potential challenges, including standardization issues and the fragmentation of AI ecosystems.

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