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At least 30% of generative artificial intelligence projects are predicted to be abandoned after proof-of-concept by the end of 2025 due to various reasons such as poor data quality, inadequate risk controls, escalating costs, or unclear business value, as per Gartner, Inc. Organizations are facing challenges in proving and realizing value from their gen AI investments as the financial burden of developing and deploying gen AI models increases. Justifying the significant investment in gen AI for productivity enhancement is a major obstacle for organizations.
Gen AI deployment approaches come with substantial costs ranging from $5 million to $20 million, including upfront and recurring costs. Rita Sallam, a vice president-analyst at Gartner, highlighted the variability in costs based on use cases, deployment approaches, and strategic impact. Gartner research suggests that gen AI requires a higher tolerance for indirect, future financial investment criteria compared to immediate return on investment.
Isomorphic Labs, the AI drug discovery platform that was spun out of Google's DeepMind in 2021, has raised external capital for the first time. The $600
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Sam Altman today revealed that OpenAI will release an open weight artificial intelligence model in the coming months. "We are excited to release a powerful new open-weight language model with reasoning in the coming months," Altman wrote on X.
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