Generative AI's Evolution: A Landscape in Flux
Rajan Kanwar MBA, DBL, LSSBB, BASc (Engineering)
Executive: Product & Technology | Driving Scalable SaaS Platforms and AI-Powered Solutions | Chairing Strategy and Innovation | EY, TD Bank and Fidelity National Financial Alum | Forbes Technology Council
The unveiling of generative AI created a global stir, with ChatGPT alone amassing 100 million users within two months of its 2022 launch. Searches for "artificial intelligence" skyrocketed, and AI startups witnessed a staggering $40bn investment influx in just the first six months this year.
Yet, the initial consumer frenzy is simmering down - with a dip in ChatGPT's usage and fewer AI-related search queries.
Yet, a more mature phase beckons. We're on the cusp of an industry revolution driven by turbocharged AI models. Its future hinges on three pillars:
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The strategy now? Charm the developers. By ingraining AI into their routines, tech companies aim to foster network effects. OpenAI, for instance, is equipping developers with its models, while Meta's llama model aspires to cultivate a devout developer community.
So, who's leading the race? While OpenAI enjoys its vast user base and Google its financial muscle, the finish line is still distant. In a world bound by computing limitations and data scarcity, innovation will be gold. A player with the sleekest model, most innovative data synthesis, or compelling customer proposition might just tip the scales.
The initial hype may have subsided, but hold onto your seats; the real showdown has just started. ?? #AIFuture #TechTrends