costs, and an increased bottom line.
Transportation and travel
Transportation issues have become the many-headed hydra of the twenty-first century, threatening the lifestyle and sustainability of metropolitan life. Addressing traffic is one of the defining challenges of worldwide urban life for this century.
Congestion: The cost of congestion in the U.S. reached $305 billion in 2017. AI can process the complex dataset of traffic monitoring to suggest intelligent traffic light models and use real-time tracking and scheduling to mitigate traffic, both on the road and for public transport systems.
Maintenance: A single downed truck can cost a fleet up to $760 per day. A grounded plane can cost more than $17,000 a day. Using machine learning and digital twins, you can assess the performance of a vehicle, plane, or train in real time and trigger notifications or alerts when repairs or preventive maintenance are needed. The system uses automation to order parts and schedule maintenance.
Public safety: AI can track real-time crime data to increase public safety and direct law enforcement to developing situations.
Freight transport: Predictive analytics can assist in forecasting volume to optimize routes and inventory.
Telecom
With the turn of the millennium and the advent of ubiquitous communications, the era of customer loyalty for a communications provider has passed. Customers churn faster than carriers can roll over minutes. As the network continues to evolve, customer quality-of-experience expectations increasingly dictate consumer behavior.
Customer support: AI-powered chatbots are helping many telecoms improve the customer experience while saving support costs. Nokia improved resolution rates by 20 to 40 percent. Vodafone improved customer satisfaction by 68 percent with its chatbot, TOBi.
Predictive and preventive maintenance: AI can process performance data at the equipment level to anticipate failure based on historical patterns and recommend tactical or strategic actions. For example, the system could alert a technician, who can use the AI-powered insights to proactively run diagnostics, perform root-cause analysis, and take action at any point in the link, from the set-top box all the way up the chain to the cell tower or network operations center. On the strategic level, these insights can inform network redesign to sustain better quality of experience and provide valuable data to inform development of new services to maintain a competitive edge.
Network optimization: AI can find patterns at the traffic level and notify the network operations center of anomalies so a potential issue can be corrected before it affects the quality of service and to assist in exploring alternatives for optimizing the existing network.
Public sector
In 2017, United States agencies collectively received more than 818,000 freedom-of-information (FOI) requests and processed more than 823,000. In the second quarter of 2017, the U.K. Department for Exiting the EU was able to respond to only 17 percent of FOI requests, and the Department for International Trade faired only slightly better at 21 percent.
The U.S. Citizenship and Immigration Services respond to more than 8 million applications each year. In 2018, Emma, a virtual assistant on their website, responded to 11 million inquiries with a success rate of 90 percent.
AI-assisted decision-making: Many aspects of governance suffer from a surfeit of information. Separating the important from the mundane is a time-consuming and mind-numbing task for a human, but a simple and appropriate task for predictive analytics. AI can process and analyze enormous amounts and varieties of data to highlight patterns and reveal insights that facilitate efficient and effective decisions.
Internet of Things: As cities deploy devices such as traffic cameras, smart traffic lights, smart utility meters, and other sensors, AI can sift through the mountain of data they generate to streamline operations, optimize process control, and deliver better service.
Professional services
Professional services firms often focus on high-touch engagements that are essentially human-centric and thus may not seem to be good candidates for AI. However, much of the work they take on involves processes that are quite amenable to AI. Professional services touch many of the industries discussed in this chapter, and just as technology matures and affects all industries, of necessity it affects how professional services firms engage their clients.
The applications span all industries:
Document intake, acceptance, digitization, maintenance, and management
Auditing, fraud detection, and fraud prevention
Risk analysis and mitigation
Regulatory compliance management
Claims processing
Inventory management
Resume processing and candidate evaluation
Marketing
The secret sauce in marketing is not a secret. The ingredients are well known and are used daily all over the world. What is new is the glut of data now available regarding every search, click, and comment your customers make. AI doesn’t reinvent marketing. It just simplifies the daunting task of incorporating everything your data tells you about customers so you can anticipate their next move and improve the experience.
With AI, your marketing can accomplish these feats:
Use everything you know about customers, including their order history, browsing path through the website, customer service interactions, and social media posts
Target your candidates and customers down to the individual
Personalize messages according to whatever metric you have tracked, even down to buyer personas
Generate thousands of variations on a message
Schedule messages to maximize engagement
Train messages based on engagement feedback
Customize the customer experience on your website
Optimize customer engagement and reduce churn
Optimize price,
