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.
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Congrats Armand Ruiz, great job 👏
The invention of the car caused cities to: * Pave roads * Build traffic light systems * Build parking lots * Change public transit from trolleys to buses * Create zoning laws * Build motels and drive thrus * Create safety regulations * Create highways and toll roads They didn’t just create hitching posts for cars or start filling horse troughs with gas. AI will transform how businesses operate, and will take decades to diffuse. The long-term winners are, in my view, the people who reimagine their business processes from start to finish instead of just bolting AI into the current architecture. Requires significant investment and vision.
Threat management is a big one. Could AI also be the cause of threat because of loophones in how these AI systems work?
At esynergy we’ve noticed a similar increase in GenAI Proof of Concepts (PoCs) going live. Interestingly, over 50% of the time and effort goes into monitoring, testing, governing, explaining, and operating these GenAI solutions. This is because managing GenAI is very different from traditional AI and software. What are your experiences and insights on testing, monitoring, and governing GenAI solutions?
These tangible applications you have listed demonstrate the potential of AI to transform industries and improve daily lives. It's not just hype – AI is already making a significant impact.
"Automate answers with 95% accuracy" "Reduce MTTR by 50%" "Increase manufacturing output by 25%" I'm blown away when I read some of these metrics. Well done!
Excellent summary Armand.
Project & Program Manager | Bridging AI & Business to Simplify Complexity thru Digital Transformation & Operational Excellence | LSSBB, PSM-I, PSPO-I, Project+ | KyotoU (京大) & WasedaU (早大) Alum
1yThese 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.