- Healthcare
• 1.1 Predictive Diagnostics: AI predicting diseases like cancer using patient data (IBM Watson Health, 2017).
https://www.ibm.com/watson-health
• 1.2 Drug Discovery: AI-powered drug discovery (BenevolentAI, 2016).
https://benevolent.com
• 1.3 Robotic Surgery: AI-assisted surgical robots (Da Vinci robot, 2000).
https://www.intuitive.com/en-gb/products/da-vinci
• 1.4 Virtual Health Assistants: AI chatbots providing patient care (Babylon Health, 2014).
https://www.babylonhealth.com
• 1.5 Medical Imaging: AI detecting anomalies in X-rays and MRIs (Google DeepMind, 2018).
https://deepmind.com/research
• 1.6 Wearable Devices: AI wearables monitoring health in real-time (Fitbit, 2015).
https://www.fitbit.com
• 1.7 Personalised Treatment Plans: AI creating tailored treatment plans (Tempus, 2015).
https://www.tempus.com
• 1.8 Clinical Trials Optimisation: AI identifying candidates for clinical trials (Unlearn.AI, 2017).
https://www.unlearn.ai
- Finance and Banking
• 2.1 Fraud Detection: AI systems detecting fraud in real-time (PayPal, 2010).
https://www.paypal.com
• 2.2 Credit Scoring: AI-based alternative credit scoring (Upstart, 2012).
https://www.upstart.com
• 2.3 Algorithmic Trading: AI used in high-frequency trading (Renaissance Technologies, 2007).
https://www.rentech.com
• 2.4 Robo-Advisors: AI-powered investment platforms (Wealthfront, 2008).
https://www.wealthfront.com
• 2.5 Chatbots for Customer Service: AI virtual agents for banking queries (Bank of America’s Erica, 2018).
https://www.bankofamerica.com
• 2.6 AI in Loan Underwriting: AI improving loan approval decisions (Zest AI, 2015).
https://www.zest.ai
• 2.7 Regulatory Compliance: AI ensuring compliance with financial regulations (Ayasdi, 2013).
https://www.ayasdi.com
• 2.8 Risk Management: AI-driven risk assessments for market and credit risk (BlackRock Aladdin, 2011).
https://www.blackrock.com/aladdin
- Retail and E-commerce
• 3.1 Personalised Recommendations: AI recommending products based on user behaviour (Amazon, 2003).
https://www.amazon.co.uk
• 3.2 Inventory Management: AI optimising stock levels (Walmart, 2016).
https://corporate.walmart.com
• 3.3 Dynamic Pricing: AI adjusting prices in real-time (Airbnb, 2014).
https://www.airbnb.co.uk
• 3.4 Supply Chain Optimisation: AI managing logistics (Flexport, 2013).
https://www.flexport.com
• 3.5 Virtual Fitting Rooms: AI allowing customers to try on clothes digitally (Zeekit, 2015).
https://www.zeekit.com
• 3.6 Automated Checkout: AI enabling cashier-less stores (Amazon Go, 2016).
https://www.amazon.co.uk/b?node=16008589031
• 3.7 AI-Driven Customer Insights: Sentiment analysis of customer reviews (Bazaarvoice, 2012).
https://www.bazaarvoice.com
• 3.8 Chatbots for Sales Assistance: AI chatbots for retail support (H&M, 2017).
https://www.hm.com
- Manufacturing and Industrial Automation
• 4.1 Predictive Maintenance: AI predicting equipment failures (Siemens, 2015).
https://new.siemens.com
• 4.2 AI-Powered Robotics: Cobots assisting in production (Universal Robots, 2009).
https://www.universal-robots.com
• 4.3 Quality Control: AI systems inspecting for defects (Landing AI, 2018).
https://landing.ai
• 4.4 Smart Factories: Automated manufacturing with AI and IoT (Bosch, 2017).
https://www.bosch.com
• 4.5 Demand Forecasting: AI predicting production needs (General Electric, 2015).
https://www.ge.com
• 4.6 Energy Management: AI optimising energy use in factories (Schneider Electric, 2014).
https://www.se.com
• 4.7 3D Printing with AI: AI improving additive manufacturing (Desktop Metal, 2015).
https://www.desktopmetal.com
• 4.8 Autonomous Vehicles in Logistics: AI-powered drones in warehouses (Ocado, 2016).
https://www.ocadogroup.com
- Public Sector and Government
• 5.1 Smart Cities: AI managing traffic and infrastructure (Barcelona Smart City, 2012).
https://ajuntament.barcelona.cat/digital/en/smart-city
• 5.2 AI for Tax Compliance: AI reducing tax evasion (HMRC Connect, 2010).
https://www.gov.uk/government/organisations/hm-revenue-customs
• 5.3 Criminal Justice AI: Risk assessments in bail and sentencing (COMPAS, 2016).
https://www.equivant.com
• 5.4 Predictive Policing: AI predicting crime hotspots (PredPol, 2012).
https://www.predpol.com
• 5.5 AI in Defence: Autonomous drones and AI decision systems (DARPA, 2017).
https://www.darpa.mil
• 5.6 Government Chatbots: AI improving citizen services (Ask Jamie, Singapore, 2017).
https://www.gov.sg
• 5.7 Pandemic Response: AI detecting COVID-19 outbreaks (BlueDot, 2019).
https://bluedot.global
• 5.8 Disaster Response AI: AI assisting natural disaster responses (IBM AI for disaster response, 2018).
https://www.ibm.com/blog/disaster-response
- Energy and Utilities
• 6.1 Smart Grids: AI managing energy distribution (Google DeepMind with UK National Grid, 2017).
https://deepmind.com/research/case-studies
• 6.2 Renewable Energy Forecasting: AI predicting wind/solar energy availability (GE Renewable Energy, 2015).
https://www.ge.com/renewableenergy
• 6.3 AI in Oil and Gas: AI improving drilling and exploration (BP, 2017).
https://www.bp.com
• 6.4 Energy Consumption Optimisation: AI reducing energy use (Google’s DeepMind data centres, 2016).
https://deepmind.com/research/case-studies
• 6.5 AI for Nuclear Energy: AI managing nuclear plants (EDF, 2019).
https://www.edfenergy.com
• 6.6 Smart Metering: AI-enhanced smart meters in homes (British Gas, 2014).
https://www.britishgas.co.uk
• 6.7 AI-Driven Water Management: AI managing water supplies (Xylem, 2018).
https://www.xylem.com
• 6.8 Energy Trading with AI: AI optimising energy markets (Vattenfall, 2018).
https://group.vattenfall.com
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