AI is not hype. At IBM we've completed 1,000+ Generative AI projects in the last 12 months, prioritizing business applications over consumer ones. Top use cases are: ▪️ 𝗖𝘂𝘀𝘁𝗼𝗺𝗲𝗿-𝗳𝗮𝗰𝗶𝗻𝗴 𝗳𝘂𝗻𝗰𝘁𝗶𝗼𝗻𝘀 𝗮𝗻𝗱 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲𝘀 - Customer service: Empower customers to find solutions with easy, compelling experiences. Automate answers with 95% accuracy - Marketing: Increase personalization, and improve efficiency across the content supply chain. Reduce content creation costs by up to 40% - Content creation: ex. enhance digital sports viewing with auto-generative spoken AI commentary. Scale live viewing experiences cost-effectively - Knowledge worker: Enable higher value work, improve decision making, increase productivity. Reduce 90% of text reading and analysis work ▪️ 𝗛𝗥, 𝗙𝗶𝗻𝗮𝗻𝗰𝗲, 𝗮𝗻𝗱 𝗦𝘂𝗽𝗽𝗹𝘆-𝗖𝗵𝗮𝗶𝗻 𝗳𝘂𝗻𝗰𝘁𝗶𝗼𝗻𝘀 - HR automation: Reduce Manual work and automate recruiting sourcing and nurturing job candidates. Reduce employee mobility processing time by 50% - Supply chain: Automate source-to-pay processes, reduce resource needs, and improve cycle times. Reduce cost per invoice by up to 50% - Planning and analysis: Make smarter decisions, and focus on higher-value tasks with automated workflows and AI. Process planning data up to 80% faster - Regulatory compliance: Support compliance based on requirements/risks, and proactively respond to regulatory changes. Reduce time spent responding to issues ▪️ 𝗜𝗧 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗮𝗻𝗱 𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀 - App modernization, migration: Generate code, and tune code generation response in real time. Deliver faster development output - IT automation: Identify deployment issues, avoid incidents, and optimize application demand to supply. Reduce mean time to repair (MTTR) by 50% - AIOps: Assure continuous, cost-effective performance and connectivity across applications. Reduce application support tickets by 70% - Data platform engineering: Redesign the approach for data integration using generative AI. Reduce data integration time by 30% ▪️ 𝗖𝗼𝗿𝗲 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀 - Threat management: Reduce incident response times from hours to minutes or seconds. Contain potential threats 8x faster - Asset management: Optimize critical asset performance and operations while delivering sustainable outcomes. Reduce unplanned downtime by 43% - Product development: ex. expedite drug discovery by inferring structure with AI from simple molecular representations. Faster and less expensive drug discovery - Environmental intelligence: Provide intelligence to proactively manage the impact of severe weather and climate. Increase manufacturing output by 25% ______ Please repost it ♻️ and follow me, Armand Ruiz , for more similar posts.
There is a lot of hype around GenAI. There is also a lot of doom and gloom around GenAI. What is missing is examples of production use-cases where GenAI is adding value to organizations. This is a great list of practical, successful use cases. Thanks for sharing!
These use cases showcase the potential impact of AI in various industries. It's exciting to see how AI can enable higher value work, improve decision making, and increase productivity. It's clear that AI is not just hype, but a powerful tool that can transform businesses and industries. However, it's also important to consider the ethical implications and potential biases that may arise with the use of AI.
Interesting statistics. 2 questions is source to pay automation really ai ? And is there a quality indicator to complete the HR stats ?
Nice one!!
Legends 😍 🐲
Very true, Armand Ruiz but it’s also not the “one solution fits all”. The presented applications all make sense and are well proven applications. For other applications it is important to understand that a blind application of Generative AI is not always generating a positive outcome, which is why I advocate that for the application of GenAI a good understanding of AI is needed and also a good understanding of the project and alternatives. Too often only positive examples are shared while negative examples exist and tell so much more about what to look out for. One of the first questions I ask when talking to people who want to apply AI is, what other solutions did you try yet, what do you know about your problem and risks in it?
Congrats Armand Ruiz, great job 👏
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1yArmand Ruiz Thanks for sharing the post. Is there a white paper or blog that provides more details of these initiatives while preserving confidential information? I’m particularly interested in supply chain & IT automation use cases.