SAP AI – “Built for Business”
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Key Takeaways
⇨ In the ever-evolving world of technology, artificial intelligence (AI) is taking center stage and the potential of generative AI and Large Language Models (LLMs) are fueling corporate dialogues.
⇨ While the journey towards AI integration is unique for every customer, the industry is just beginning to scratch the surface of generative AI.
⇨ SAP's AI strategy revolves around embedding AI at the core of its services, supporting customers in transforming into intelligent, sustainable enterprises.
In the ever-evolving world of technology, artificial intelligence (AI) is taking center stage. The potential of generative AI and Large Language Models (LLMs) are fueling corporate dialogues and making headlines. However, as exciting as these cutting-edge technologies may be, translating these groundbreaking technologies into tangible business benefits poses a considerable challenge for organizations which are primarily due to the gaps in organizations in terms of harnessing these AI capabilities to their full potential. While the journey towards AI integration is unique for every customer, the industry is just beginning to scratch the surface of generative AI.
This tech brief focuses on SAP’s strong AI strategy that seeks to distinguish SAP in a market filled with general-purpose AI solutions by focusing on the specific needs of businesses and their processes, and stands on three key pillars: built-in, relevant, and responsible AI, with an overarching message that their AI is “built for business”.
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