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While 2023 was a year of experimenting with generative AI (GenAI), enterprises will focus on realizing value from key GenAI use casesin 2024. They must shift from a prototypingmindset to operationalizing a few crucial applications, balancing cost againstresults. Operationalization involves testing for accuracy and scale, improving performance, tracking costs, and governing the data and the models. It also means orchestration across the infrastructure for prompt engineering, integration into data sources, and interfaces that enable processing quickly, repeatably, responsibly, and sustainably under load.

If you would like to learn more about GenAI Platforms. Then this white-paper is for you:

• GenAI has taken the world by storm over the past year.Organizations everywhere are working to identify how they can use this transformational technology to achieve a host of desirable outcomes, including improving productivity, increasing sales, and getting products to market quicker.However, adopting GenAI takes careful consideration and planning.
• GenAI is in its infancy. The truth is that building GenAI applications is complicated, and the skills and expertise to successfully tune and integrate foundation models are in high demand and short supply. AI platforms enable foundation model customization through technology, processes, and best practices to automate and operationalize the generative AI life cycle.
• IBM has a rich history in AI, providing services to both partners and end customers. IBM's commitment to openness and transparency is evident through itslong-standing approach. Recently, IBM and Meta jointly launched the AI Alliance, a global initiative that brings together over 50 leading industry, academic, research, and government organizations. The AI Alliance aims to advance open innovation and science in AI, prioritizing safety, diversity, and economic opportunity.
• Cost and skills continue to be the top inhibitors for organizations trying to scale AI. The generative AI technology landscape is changing rapidly, with new products and services delivered daily from both large tech providers and start-ups. Data and application complexity also plague many organizations. Some 87% feel that their organizations are less than fully prepared to take advantage of GenAI capabilities in the next 24 months.

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