AI in Action
At the core of AI technology lies the ability to analyze vast amounts of data, recognize patterns, and make decisions at a speed and scale beyond human abilities. These capabilities are already being used to enable more immersive, personalized experiences and help individuals and enterprises worldwide unlock new levels of creativity, discovery, and efficiency.
Customer Experiences
AI-powered chatbots are helping customers across industries get their questions answered more quickly and resolve issues more easily. Computer vision systems are being used to enable frictionless, touchless checkout, optimize store layouts based on observed customer traffic patterns, and enable AI-augmented driving capabilities. In finance and banking, AI is being used to create personalized investment plans, while recommendation engines in online searches and by streaming services are helping individuals more quickly find products and content tailored to their preferences.
Creativity
Generative AI (GenAI) is being used by individuals and professionals to create new and unique content, such as music, art, and writing. Marketing teams are using data-driven insights to develop personalized, just-in-time ads and email campaigns to drive customer loyalty. AI-based analysis of sales and production data is helping businesses generate ideas for new product designs based on existing products and customer preferences. Laboratories and researchers are using AI to accelerate discoveries that improve healthcare, address global humanitarian issues, and advance technological innovation.
Technical Efficiency
Developers are bringing new solutions and experiences to life faster using AI-powered PCs and AI-enabled strategies to streamline and optimize application development and deployment. IT teams can use AI-assisted security solutions to proactively identify cybersecurity risks or for AI operations (AIOps) to identify and resolve or alert staff to PC and network issues to limit business interruptions.
Manufacturers are using AI to automate processes and quality checks, improving throughput, reducing waste, and helping to improve employee safety.
Industry AI Use Cases
By leveraging AI’s data-driven capabilities, enterprises are transforming their industries to deliver more efficient outcomes and surface new business opportunities:
- AI in Automotive: AI is helping driverless vehicles become a reality, personalizing driver experiences, improving fleet management, and streamlining automotive manufacturing.
- AI in Banking: AI is being used to streamline the customer experience, meet compliance and data management requirements, and protect against cyber threats.
- AI in Cybersecurity: AI-assisted security technologies are helping businesses proactively combat evolving cyber threats and protect their operations, innovations, and data.
- AI in Education: AI-powered virtual assistants can help in creating personalized lesson plans, provide guided support for students, and automate administrative tasks for teachers.
- AI in Energy: AI is being used to make utility power grids smarter, more efficient, and more stable by matching system load and supply in near-real time, improving grid resilience by predicting outages and dispatching repair crews, and monitoring for potential environmental hazards and predictive maintenance.
- AI in Financial Services: AI chatbots are personalizing customer interactions while, on the back end, AI is helping to detect and prevent fraud, automate risk assessment, and facilitate algorithmic stock trading.
- AI in Government: AI data analytics and automation is helping enhance public services and government operations and improved decision-making.
- AI in Healthcare: AI-enabled predictive analytics and personalized medicine are helping improve patient care and helping doctors and pathologists deliver more-efficient diagnoses with potentially higher accuracy.
- AI in Manufacturing: AI is driving process automation, supply chain optimization, and data-driven decision-making to optimize manufacturing productivity, quality, and efficiency.
- AI in Retail: AI is helping to personalize shopping experiences, manage inventory and supply chain logistics efficiently, and analyze customer behaviors to help predict trends and inform marketing initiatives.
- AI in Telecommunications: AI is helping to optimize network operations, predict and prevent service disruptions, and enable better customer interactions with personalized chatbots.
- AI for Sustainability: Leading-edge companies are applying AI to help reduce their environmental footprint, accelerate positive change in meeting decarbonization goals, and identify opportunities for greater efficiency and growth to help combat climate change.
The Future of AI
AI technology is evolving quickly and becoming more accessible to businesses and end users globally, driving the emergence of new AI use cases. Regardless of where enterprises are in their AI journey today, opportunities exist to start incorporating AI into business workflows and to use AI to improve decision-making, gain competitive advantage, and improve experiences for customers and employees.