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.
Applied AI – the application of AI technology in business, is skyrocketing. An Accenture report on AI revealed that 84% of business executives believe that AI adoption would drive their business growth. Applied AI empowers businesses with end-to-end process automation and continuous process improvement for greater productivity and profitability. However, applied AI is like a rose garden. AI-powered business applications are enticing, but you should be aware of the thorns surrounding the flowers. You need to use frameworks such as Responsible AI while embracing AI for your business. You should understand potential risks such as adversarial attacks and data poisoning. Understanding these concepts will help you address common hiccups in AI adoption for business before they choke your initiatives. Responsible AI Artificial intelligence is powerful. When used responsibly, AI can be a solution to many problems and change the world. It can be the...

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