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Apache Iceberg provides an open table format for interoperability across data lakes, showing the importance of a true open standard.
Engineers are ideally placed to manage high cloud expenses but may not want one more thing on their plate. What role should finops teams play?
Distributing workloads among various providers offers protection from failure, but make sure your business can handle the complexity and costs.
Analysts and experts say that the openness and accuracy of the Llama 3.1 family of models pose an existential threat to providers of closed proprietary large language models.
Free fine-tuning allows OpenAI customers to train the GPT-4o mini model on additional data at no charge until September 23, starting with Tier 4 and Tier 5 users.
Latest update to Microsoft’s cloud-ready stack for building distributed applications also adds the ability to launch Python-based services.
Google says the dual-region configuration option will help enterprises comply with data residency regulations in countries with limited cloud infrastructure.
AI agents benefit from the data sovereignty, customization, and lower costs of on-premises servers and other options outside the public clouds.
Mistral Large is a large language model optimized to handle high-complexity tasks that require advanced reasoning and multilingual capabilities.
Until CIOs are ready to confront data that is siloed, redundant, or can’t be traced through the business process, generative AI will not pay off.