The revolutionary content supply chain
How generative AI supercharges creativity and productivity
The rapid advancement of generative AI has the power to transform the marketing landscape.
To evaluate the state of content supply chain practices and best practices in the age of AI, Adobe, Amazon Web Services, and the IBM Institute for Business Value teamed up to survey executives who are leading processes and technologies used to plan, create, deliver, and measure content.
Learn how organizations can use generative AI to reinvent and optimize their content supply chains.
Download now
Provided by IBM
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Anthropic teams up with Akamai in $11.6bn cloud partnershipNews The expanded deal will help Anthropic meet “accelerating CPU workload demands”
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OpenAI and Anthropic could withhold new AI models from UK's AI Security InstituteNews The move marks the second time Anthropic declined to submit a model for testing in the space of a month
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Huawei is positioning itself as a viable alternative to big US tech companies. Can it pull it off?Opinion With Nvidia and AMD excluded from the Chinese AI market, Huawei is building a powerful reputation at home and abroad
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“Enterprises are becoming much more rigorous about the economics of AI”: Snowflake wants to help you cut AI costs by choosing the right model for the right taskNews New dynamic model routing capabilities aim to help customers box clever when it comes to their AI model choice
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OpenAI forges closer ties with IBM in enterprise pushNews The duo will combine OpenAI models and products with IBM Consulting expertise
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Microsoft has joined the growing list of companies cracking down on ‘tokenmaxxing’News The company is updating internal guidance to reduce rising costs
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‘AI cost management has the same problems that cloud had’: Enterprises are still facing huge AI bills thanks to ‘tokenmaxxing’ – that means FinOps practices are more important than everNews With firms facing surging AI bills, FinOps techniques are more important than ever
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‘We are now seeing MAI models outperform general-purpose frontier models’: Microsoft CEO Satya Nadella touts in-house models to cut spiralling AI costs – and reduce growing reliance on frontier labsNews The Microsoft chief says pricey frontier models don't have to be used for every task, and its own in-house MAI models could be the key to reducing costs.
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3 ways to get your data AI-readySponsored Data placement, preparation, and orchestration make or break an AI project – and the Dell AI Data Platform reduces the strain on enterprise IT teams across both storage and the data foundation
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‘A company should be able to use a model without giving up the knowledge that makes it unique’: Microsoft CEO Satya Nadella says enterprises shouldn’t be sharing so much data with AI providersNews The Microsoft chief warned that corporate data could be at risk thanks to AI models
