Every new technology creates a lot of buzz among business leaders, and the latest conundrum surrounds Generative AI and its use cases across various sectors and industries. Generative AI has impacted global society with unparalleled speed, ambit, and magnitude; hence, the hype is entirely justified. Among the several use cases and potential business benefits of Generative AI, we explore how we can leverage its power in optimizing supply chain operations. We also recommend that enterprises establish essential guardrails to fully harness this technology, which is increasingly ubiquitous. The imminent likelihood is that having the best AI models and top-tier data quality can be disruptive. So disruptive that it can be the deciding factor in the success or failure of an enterprise. So, let us explore how this buzzworthy Generative AI can benefit the realm of the supply chain.
Recently, Microsoft announced new features in Azure AI Services at the Ignite 2023 event. As a Microsoft partner, we are following these updates closely and exploring how the new features will unlock more value for enterprises. The slew of updates is more focused on empowering businesses with enterprise-grade generative AI applications – from leveraging cutting-edge foundation models to building AI applications to enhancing user experiences on those AI applications. Developing generative AI applications that work exclusively on your enterprise data, for your enterprise is a complex process. You need powerful GPUs to finetune large language models (LLMs). Making this process easier for enterprises, Microsoft launched Model as a Service (MaaS) in the Azure AI model catalog. Using MaaS, you can finetune LLMs and build generative AI applications using inference APIs. You will be charged for the number of tokens used as part of the pay-as-yo...

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