‘Once the right balance between cloud and local AI is found, organisations will find the sweet spot between cost, performance and security’: The future of AI strategy and how businesses can get the best results
Businesses of all shapes and sizes are adopting AI to improve productivity and efficiency, but where they should be seeing improvements from this strategy, instead they’re seeing rising token costs, struggles with integrating tools, and more security risks.
As with all new technologies, adoption comes first and the procedures and governance are a few steps behind. Experiments are taking place in almost every industry, and the lessons learned will help guide other businesses into successful adoption and AI maturity.
But employees fear replacement and sometimes spend more time questioning the results of their AI assisted work. In the worst circumstances more work is created in trying to ensure employees trust the technology, and solving the new, unseen challenges that come with adapting an AI strategy.
AI costs and challenges in the road ahead
Rising token costs are one of the biggest challenges businesses face. Without clear ways to measure how...
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