2024 Outcompeting with AI in Process Industries

McKinsey
arc beats above · slides in the middle · loops below · scroll → 2 LOOPS
SETUP TENSION ANALYSIS EVIDENCE RESOLUTION APPENDIX
HOVER FOR DETAILS · CLICK A SLIDE FOR FULLSCREEN · STEP 1
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Slide inventory

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Slide 1
front_matter
Open slide detailBeat · Situation & Context
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front_matter
Open slide detailBeat · Situation & Context
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The slide uses a nested timeline structure to show how sub-fields (ML, DL, GenAI) emerged from the broader field of AI.establish_context
Open slide detailBeat · Situation & Context
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The chart uses a descending order of economic potential, with icons representing each industry sector.size_opportunity
Open slide detailBeat · Situation & Context
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The chart uses color-coded dots to distinguish between primary functions for process industries and other functions.quantify_impact
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compare_options
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quantify_impact
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transition
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The slide uses a grid of news headlines to illustrate the trend of moving from AI experimentation to embedding.establish_context
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The chart illustrates that AI adoption across multiple business functions remains low and stagnant.analyze_data
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The slide uses a timeline-like structure to contrast high adoption (90%) with low realization of revenue (30%) and cost (25%) targets.frame_problem
Open slide detailBeat · Problem & Complication
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Uses the iceberg metaphor to represent visible vs. hidden requirements for GenAI success.present_framework
Open slide detailBeat · Problem & Complication
13
The slide uses a puzzle-piece metaphor to show how Talent, Operating Model, Technology, and Data fit together under a business-led roadmap.present_framework
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summarize
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The slide uses a logo-grid layout to present case studies.illustrate_case
Open slide detailBeat · Evidence & Proof
16
The slide uses a spectrum-based framework to illustrate the trade-offs between cost and differentiation.present_framework
Open slide detailBeat · Evidence & Proof
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The slide uses a numbered list to categorize AI applications in R&D, Maintenance, Workforce Management, and Supply Chain.present_solution
Open slide detailBeat · Evidence & Proof
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The slide uses a process flow diagram to contrast three computational approaches.present_solution
Open slide detailBeat · Evidence & ProofLoop · Quick Win Big Bet
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illustrate_case
Open slide detailBeat · Evidence & ProofLoop · Quick Win Big Bet
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The slide uses a process flow to demonstrate AI-driven technician support.present_solution
Open slide detailBeat · Evidence & ProofLoop · Quick Win Big Bet
21
The slide uses a dual-path line chart to represent the 'Progress' over 'Time' for two different scenarios (MVE-enabled vs. standard technician).illustrate_case
Open slide detailBeat · Evidence & Proof
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DILO stands for Day In the Life Of.quantify_impact
Open slide detailBeat · Evidence & ProofLoop · Cost Of Inaction
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The slide uses a gradient bar at the bottom to represent a spectrum of creativity.present_solution
Open slide detailBeat · Evidence & Proof
24
The slide contrasts manual, inefficient handover processes with an automated GenAI-driven approach.frame_problem
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The slide uses an isometric illustration style to map out the physical supply chain (mining, rail, processing, port) and overlays digital optimization points.present_solution
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The slide features two distinct dashboard screenshots labeled 'Supply Chain Logistics' and 'Inventory'.present_solution
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The slide uses a persona-based narrative (Ana and Ralph) to demonstrate the workflow.present_solution
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front_matter