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Citizens targets $450 million in AI-driven operating savings by 2028.

🏦 1 Banking AI🤖 2 General AI

Banking AI

Financial institutions & fintech technology

1 story
pymnts.com

Citizens is targeting $450 million in operating savings from AI by 2028

Citizens Financial Group is scaling AI after pilots and has set a target of $450 million in operational savings by 2028. The public target makes AI a quantified productivity program, not an innovation experiment, at a major U.S. regional bank.

Action

Set comparable, bottom-up value targets for priority AI workflows and require business owners to report realized savings—not pilots, licenses or projected productivity.

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General AI

Large language models & AI infrastructure

2 stories
news.smol.ai

Moonshot’s Kimi K3 brings frontier-level open weights, 1M-token context and lower task costs into enterprise model selection.

Moonshot AI launched Kimi K3, a 2.8T-parameter multimodal model with a 1M-token context window, available through Kimi products and API; open weights are promised by July 27. Independent Artificial Analysis scored it comparable to Claude Opus 4.8 and GPT-5.5 on its Intelligence Index, while Arena ranked it #1 in Frontend Code Arena. Its reported API pricing is $3 per million input tokens and $15 per million output tokens, with a 90% cache discount.

Action

Benchmark Kimi K3 in your internal coding, document-analysis and agent workflows against incumbent API models—especially workloads that benefit from long context and cached prompts.

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marktechpost.com

Moonshot’s Kimi K3 raises the bar for open models with 2.8T parameters and 1M-token context

China’s Moonshot AI released Kimi K3, an open mixture-of-experts model reported at 2.8 trillion parameters with a one-million-token context window. Its scale and long-context capability intensify price and performance competition for enterprise model workloads, particularly where large internal corpora must be analyzed in one session.

Action

Add Kimi K3 to model-procurement benchmarks, but gate any evaluation through legal, security and data-residency review before exposing proprietary bank information.

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