NEW DELHI: In a strategic bid to aggressively integrate next-generation artificial intelligence into its global entertainment ecosystem, media giant Paramount has appointed veteran tech leader Barak Turovsky as its Executive Vice President (EVP) and Head of Consumer AI.
Turovsky confirmed the leadership transition through a professional update, highlighting that the media sector is entering a defining era where artificial intelligence will fundamentally overhaul how audiences discover, consume, and engage with multi-format content.
Key Takeaways
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The Consumer AI Blueprint: In his executive role, Turovsky is mandated to engineer and scale differentiated personalization, discovery, engagement, and platform intelligence capabilities. These advanced AI layers will be integrated directly across Paramount’s extensive digital streaming portfolio, including its flagship subscription service Paramount+ and its free ad-supported streaming television (FAST) platform, Pluto TV.
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Cross-Functional Collaboration: Turovsky will work in close coordination with top product and engineering executives at Paramount, specifically naming Dane Glasgow and Robert Dumoulin in his leadership circle. His initial roadmap includes rapidly expanding the company’s dedicated consumer-centric artificial intelligence and data science teams.
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A Quarter-Century of Tech Expertise: Turovsky brings over 25 years of product and business leadership to Paramount. He possesses deep institutional expertise in Generative AI, Large Language Models (LLMs), Computer Vision, Ads & Commerce, and Enterprise Software Solutions, making him uniquely suited to bridge the gap between traditional storytelling and predictive machine learning.
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The Streaming Competitive Edge: The high-profile hiring comes at a critical juncture for legacy media conglomerates fighting for market share in the global streaming wars. By capturing Turovsky’s deep-tech expertise, Paramount intends to sharpen its algorithmic recommendation engines and content curation systems to significantly improve subscriber retention and ad-revenue models.
