CIOs and IT leaders must now factor tariffs into every sourcing decision. By updating the classic Kraljic Matrix to include tariff risk, you can future-proof your supply chain, rebalance your vendor strategies, and avoid costly geopolitical surprises. Now is the time to rethink your sourcing matrix before it taxes your bottom line.
As Large Language Models (LLMs) become more integrated into business solutions, more instances of how they perpetuate social bias can be identified. Companies using LLMs must recognize that the model's output may reflect inherent biases, which can have adverse business implications. Developers and users of LLMs should implement bias mitigation strategies to ensure outputs align with organizational values.
AI mobile applications are becoming commonplace on smartphones but some mobile applications require models to reside on cloud servers for high accuracy and intensive inference. This is impractical for SMEs due to high model hosting and inference costs. Instead, an SME’s IT team should reduce costs by implementing edge AI using their mobile applications and model quantization.