Deloitte AI Research Institute's "Selected AI Cases" (PDF file) - AI Tutorial Resources

DeloitteartificialintelligentThe research institute's "AIThe "Case Studies Selection" report introduces...artificialintelligent(AIThis report outlines practical application cases and their commercial value across six major industries.AISix ways to create value include reducing costs, accelerating execution, reducing complexity, transforming interaction methods, driving innovation, and strengthening trust. Detailed analysis is provided for typical sectors including consumer goods, energy/resources/industrials, financial services, government/public services, life sciences/health management, and technology/media/telecommunications (TMT).AIApplication scenarios, such as logistics optimization, predictive maintenance, fraud detection, and precision medicine, are listed, along with emerging technology trends (such as...).automatic(Driving, digital twins, biometric payments, etc.). EmphasisAITo unlock maximum value, a shift from small-scale pilots to large-scale deployment is necessary. It is recommended that companies develop clear...AIStrategic and data governance framework. Deloitte calls on all industries to seize this opportunity.AIOpportunities arise from achieving competitive advantage through human-machine collaboration.

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AISix ways to create value:

• Reduce costs:based onautomaticReduce repetitive tasksHigh efficiencyrate, such asNatural Language ProcessingEnable data input.
• Expedited implementationReduce delays, such as predictive insights that accelerate drug approval.
• Reduce complexity: Optimize decision-making through predictive analytics, such as predicting machinery maintenance needs.
• Transform the way of interactionImprove human-computer interaction, such as conversational robots that can perceive emotions.
• Promote innovationMining data to develop new products, such as social media-driven products.recommend.
• Strengthen trust: To prevent risks, such as identifying cyberattacks in advance.

• Consumer industryAIfileConsumer industry companies are actively exploringAIApplications exist, but they face challenges such as data quality, organizational structure, and talent shortages, leading to...AIThere are significant differences in application and maturity levels. Enterprises need to address issues such as data inconsistency and poor quality, achieve business and technology integration, establish trust, and deploy at a large scale.AI.AIThe system will be more autonomous, changing the way goods are transported and employees are managed, thereby improving business operational efficiency and customer experience.
• Case:
  • Fleet network optimization:AIOptimize logistics routes and reduce empty truck rate.
  • Connecting customersPersonalized customer service, such asintelligentChatbot.
  • Product category optimization:AIForecast demand and optimize inventory.
  • Digital Call Center:Natural Language ProcessingImprove customer satisfaction.

  Energy, Resources and Industry (ER&I)

  • Energy, Resources and IndustryAIfileER&I fieldAIApplications are not widespread or mature enough, mainly concentrated in small-scale pilots and proof-of-concept stages, facing challenges in data acquisition and integration. Enterprises need to establish...AIProfessional team, coordinationAIActivities include developing strategies and roadmaps, with a focus on areas such as machine maintenance, customer interaction, and responding to extreme events.
  • Case:
    • Predictive machine maintenance:AIAnalyze IoT sensor data to predict machine failures, optimize maintenance plans, and reduce downtime and maintenance costs.
    • edgeAIUtilizing edge computing andAIThe technology processes data at the network edge, improving data security, reducing costs, and accelerating decision-making.
    • On-site sensor data analysis:AIReal-time analysis of field sensor data enables monitoring of production assets, assessment of exploration opportunities, and improved monitoring and forecasting capabilities.
    • On-site labor support and safety:AIpassNatural Language ProcessingandMachine LearningProvide information support to on-site staff to improve work efficiency and safety.
    • Utility service disruption prediction:AIPredict energy demand and power outage times, proactively remind customers, optimize customer service, and reduce operation and maintenance costs.

    Financial Services Industry (FSI)

    • Financial services industryAIfileMost FSI companies are inAIIn the early stages of adoption and investment, it is necessary to shift from pilot projects to large-scale deployments and establish enterprise-level [technology/equipment].AIability.AIIt will be widely used to improve customer experience.automaticStreamline key processes, promote industrial integration, and break down departmental silos to enhance corporate competitiveness.
    • Case:
      • Bank Fraud Analysis:AIReal-time transaction monitoring identifies suspicious activity, reduces fraud losses, and increases customer trust.
      • conversationAI:AIDriven chatbots and virtual assistants provide personalized financial services.automaticStreamline debt collection activities to enhance customer experience.
      • 360° Customer Experience:AIAnalyze customer data to provide personalized recommendations, predict customer churn, optimize marketing strategies, and improve customer engagement.
      • Insurance underwriting:AIautomaticStreamline underwriting process, simplify risk assessment, and improveHigh efficiencyIncrease efficiency and reduce costs.
      • Trading operationsautomaticchange:AIandMachine LearningautomaticStreamline transaction reconciliation and anomaly handling, improveHigh efficiencyIncrease efficiency and reduce errors.

      Government and Public Services (GPS)

      • Government and public servicesAIfileGovernment agenciesAIApplications vary from institution to institution and face legal, risk, and budgetary constraints, requiring careful advancement within legal and ethical frameworks.AIIt will be widely applied in areas such as social policy making, healthcare, and legal judgment, improving the efficiency and quality of public services.
      • Case:
        • Claims processing back officeautomaticchange:AIThrough robotic processesautomaticchange,Natural Language ProcessingAnd computer vision, to accelerate the processing of written materials, improveHigh efficiencyRate.
        • Population risk support:AITo predict social problems and risks, provide data support for policy making, and optimize the allocation of social resources.
        • Biomedical Data Science:AIAnalyzing biomedical data accelerates medical research and drug discovery, improving healthcare efficiency.
        • welfare management:AIOptimize benefits programs, provide personalized advice, and improve employee satisfaction and the efficiency of benefits spending.
        • Health and Environment Prediction:AIPredict disease outbreaks and the impacts of climate change to support public health and environmental protection decisions.

        Life Sciences and Health Management

        • Life Sciences and HealthcareAIfile:Life sciences and healthcareAIThe application is in its early stages, primarily focusing on management tasks andautomaticThe process of streamlining processes faces challenges in data acquisition and integration.AIIt will be widely applied in areas such as drug development, precision medicine, and improving patient experience, promoting personalized healthcare and...intelligentchange.
        • Case:
          • Digital data flow of clinical trials:AIautomaticImprove clinical trial data management and enhanceHigh efficiencyThis will improve efficiency, reduce costs, and expedite the drug approval process.
          • Pharmaceutical Intelligence:AIAnalyze manufacturing data to predict production deviations and improve product quality and output.
          • Omnichannel participation in pharmaceutical marketing:AIOptimize marketing strategies, predict customer interaction patterns, and improve marketing ROI.
          • Voices of Patient Insight:AIAnalyze patient feedback, provide product improvement suggestions, and enhance customer satisfaction.
          • Proactive risk and compliance:AIMonitor compliance risks in real time, provide improvement suggestions, and reduce compliance costs.

          Technology, Media and Telecommunications (TMT)

          • Technology, Media and TelecommunicationsAIfileTMT sectorAIApplications vary by industry; telecommunications companiesAIThe application is relatively mature, but further expansion is needed in the media and telecommunications sectors.AIapplication.AIWidely usedintelligentImprove operational efficiency and customer experience in areas such as factories, digital supply chains, and customer interactions.
          • Case:
            • intelligentFactories and digital supply networks:AIOptimize production processes, improve asset efficiency, reduce costs, and enhance environmental sustainability.
            • Direct consumer participation:AIpassautomaticEnhance customer interaction and personalized services to improve customer satisfaction and retention rates.
            • Digital Contact Center:AIBuildHigh efficiencyVoice-activated virtual assistants improve the call center experience and reduce human intervention.
            • Detecting fake media content:AIDetect deepfakes and fake media content to limit the spread of misinformation.
            • Customer data monetization:AIAnalyze customer data to provide personalized services and enhance customer value.
            • Key points:AIWe need to shift from small-scale pilot projects to large-scale deployment to unleash its true value.
            • suggestion: Develop clear guidelines based on industry characteristicsAIStrategic and data governance framework.

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