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How AI orchestration has become more important than the models themselves

CIO

Large language models (LLMs) just keep getting better. In just about two years since OpenAI jolted the news cycle with the introduction of ChatGPT, weve already seen the launch and subsequent upgrades of dozens of competing models. From Llama3.1 to Gemini to Claude3.5 From Llama3.1 to Gemini to Claude3.5

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5 Things To Look For When Evaluating AI Startups

Crunchbase News

Bob Ma of Copec Wind Ventures AI’s eye-popping potential has given rise to numerous enterprise generative AI startups focused on applying large language model technology to the enterprise context. First, LLM technology is readily accessible via APIs from large AI research companies such as OpenAI. trillion to $4.4

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Banks bet on AI to deliver digital efficiencies

CIO

The Global Banking Benchmark Study 2024 , which surveyed more than 1,000 executives from the banking sector worldwide, found that almost a third (32%) of banks’ budgets for customer experience transformation is now spent on AI, machine learning, and generative AI.

Banking 212
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9 IT resolutions for 2025

CIO

They want to expand their use of artificial intelligence, deliver more value from those AI investments, further boost employee productivity, drive more efficiencies, improve resiliency, expand their transformation efforts, and more. CIOs are an ambitious lot. Heres what they resolve to do in the upcoming 12 months.

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‘Just-in-time’ AI: Has its moment arrived?

CIO

For example, because they generally use pre-trained large language models (LLMs), most organizations aren’t spending exorbitant amounts on infrastructure and the cost of training the models. The timeliness is critical. You don’t want to do the work too much in advance because you want that real-time context.

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AI as a service to solve your business problems? Guess again

TechCrunch

SaaS, PaaS – and now AIaaS: Entrepreneurial, forward-thinking companies will attempt to provide customers of all types with artificial intelligence-powered plug-and-play solutions for myriad business problems. Industries of all types are embracing off-the-shelf AI solutions.

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What to expect from AI in the enterprise in 2025

CIO

This is particularly true with enterprise deployments as the capabilities of existing models, coupled with the complexities of many business workflows, led to slower progress than many expected. But this isnt intelligence in any human sense. With AI, this means augmenting your existing skills base and leveraging your human assets.