In a recent interview, IBM CEO Arvind Krishna discussed the company’s approach to monetizing AI models. Krishna admitted that IBM is still exploring the most effective way to sell AI models to customers. He stated that the company is open to different methods of monetization and will take cues from customer preferences.
Krishna’s comments reflect the broader challenge faced by tech companies in monetizing AI products. AI models are complex and constantly evolving, making it difficult to determine a fixed pricing structure. Companies like IBM are experimenting with different pricing models to find the right balance between generating revenue and providing value to customers.
One potential approach is a pay-per-use model, where customers are charged based on their usage of the AI model. This could make AI more accessible to smaller businesses that may not have the resources to invest in a full-scale AI implementation. Another option is a subscription-based model, where customers pay a recurring fee for access to the AI model and any updates or improvements.
IBM’s focus on customer preferences is key to its strategy. By understanding how customers want to buy AI models, IBM can tailor its monetization strategy to meet their needs. This customer-centric approach is becoming increasingly important in the tech industry, where competition is fierce and customer loyalty is paramount.
Overall, Krishna’s comments highlight the challenges and opportunities in monetizing AI models. As the technology continues to advance, companies like IBM will need to stay agile and adaptable in their pricing strategies. By listening to customers and experimenting with different models, IBM aims to find a sustainable and effective way to monetize its AI products.
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https://www.channelfutures.com/channel-business/ibm-ceo-uncertain-about-charging-for-ai-models
