IBM is assisting organizations with their AI initiatives in a hybrid cloud landscape by promoting flexible, customizable AI models. Chief Technology Officer Hillery Hunter underscores the significance of multicloud infrastructures in achieving substantial ROI from AI. IBM’s strategies focus on creating adaptable models and providing clients with various deployment options, ensuring cost-effectiveness.
IBM is actively involved in guiding companies through their artificial intelligence (AI) journeys within a hybrid cloud environment. As enterprises focus on the practical implementation of AI, Hillery Hunter, IBM’s Chief Technology Officer of Infrastructure, emphasizes the importance of optionality and multicloud infrastructure for successful AI integration. Hunter notes that IBM has made ensemble AI a priority in their programming, facilitating the integration of AI into mainframe systems. By utilizing efficient and targeted models, companies can achieve value generation more quickly and effectively by merging the strengths of various technologies. Hunter discussed these insights during an exclusive interview on theCUBE at the IBM Analyst Forum, where she highlighted the industry trends related to AI and IBM’s strategic approach to offer businesses enhanced adaptability. She outlined that achieving a return on investment (ROI) from AI does not stem from a one-size-fits-all solution, but rather from creating customizable and adaptable hybrid cloud systems. According to Hunter, more than 80% of Chief Information Officers report using multiple cloud platforms, reflecting a universal trend towards hybrid cloud environments. To optimize ROI, Hunter argues that controlling costs is essential and requires a comprehensive understanding of AI across the entire hybrid cloud landscape. She stresses the significance of optionality in this context, enabling enterprise clients to align AI capabilities with their operational needs while minimizing expenses. To this end, IBM is adopting two main strategies: designing smaller models that can accomplish multiple tasks and customizing these models for specific business applications. Hunter elaborates on IBM’s flexibility by detailing how customers can deploy their Granite model across different platforms. This includes public cloud utilization via APIs, appliance-based implementations on-premises, or traditional software deployment on existing hardware. IBM’s commitment to meeting enterprise needs in a manner conducive to cost-efficiency is central to their service offerings, enabling businesses to choose the optimal deployment method for their specific situations.
The article discusses IBM’s strategies to assist organizations in leveraging AI within a hybrid cloud framework. As enthusiasm for artificial intelligence transitions into practical application, companies are seeking ways to achieve substantial ROI from their AI investments. IBM’s focus on flexible, multicloud infrastructure enables enterprises to effectively integrate AI into their operations. The insights provided by Hillery Hunter underline the importance of tailored solutions and adaptive systems in harnessing the potential of AI technologies.
In conclusion, IBM is positioned as a leader in supporting enterprises on their AI journeys within hybrid cloud environments. By emphasizing flexibility, optionality, and tailored solutions, IBM is helping organizations achieve meaningful ROI from their AI investments. Hillery Hunter’s insights reveal that understanding and integrating AI within a broader cloud landscape is crucial for businesses seeking efficiency and effectiveness in their AI strategies.
Original Source: siliconangle.com
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