4. Predictive maintenance
At GE, we regularly use AI for predictive maintenance, analyzing data directly from aircraft engines to identify problems and required maintenance to ensure the overall safety of our aircraft. Rolls-Royce has also discovered the use of AI in predictive maintenance to improve jet engine efficiency and reduce the amount of carbon dioxide produced by aircraft, while streamlining maintenance schedules through predictive analytics. The District of Columbia Water and Sewer Authority uses predictive maintenance to identify potential water main breaks and monitor collection system performance. DC Water also has an AI tool called Pipe Sleuth that can review surveillance camera footage of sewer pipes and assess maintenance needs in real time.
5. Customer service operations
AI has become the go-to tool for customer service operations, helping organizations ensure customers get the support they need while also relieving some of the burden from service agents and call centers. When the COVID-19 pandemic disrupted Lufthansa Group's business, the company's call centers became crowded with customers trying to catch canceled or rescheduled flights, prompting the company to pivot to digital transformation in these areas. accelerated the company's moves. Rising consumer expectations are also driving the use of AI in customer service for other companies. According to a McKinsey report, approximately 67% of Millennials expect “real-time customer service,” and his 75% of customers expect a “consistent cross-channel service experience.” Unilever leverages GPT APIs to create AI tools to minimize food waste and automatically generate product lists. We're also using this API to create a platform to filter emails sent to customer service, classify spam and legitimate messages, and scale them up. customer service agent.
6. Personalization
When you log on to your favorite social media app or streaming service, your experience is tailored to your personal preferences and browsing habits, right down to targeted ads. AI is helping businesses deliver products and content to targeted audiences, and now every app or service you use is customized to your unique interests. Spotify introduces you to new artists, Amazon lets you know when it's time to stock up on the items you buy most and suggests related products you might be interested in, and YouTube offers curated content tailored to your interests. The feed will be distributed. AI personalization uses data, customer engagement, deep learning, natural language processing, machine learning, and more to curate highly customized experiences for end users and customers. Retail giant Nordstrom also uses AI in its Nordstrom Analytics Platform (NAP) to gain deeper insights into customer activity and provide predictions to provide customers with a more personalized experience. The company also uses AI to manage inventory management, navigate the fulfillment process, route orders to a customer's nearest store, and more.
7. IT operations management
AI IT operations management (AIOps) tools are growing in popularity. According to OpsRamp's report, enterprises are using AIOps for intelligent alerting (70%), root cause analysis (57%), anomaly and threat detection (52%), automated incident remediation (50%), and capacity optimization. using the platform (27%). Delta Air Lines used AIOps to create a “full-fledged digital simulation environment for its global operations” to maintain reliability, especially during adverse weather conditions. According to the company, this is a “first for commercial passenger aviation.” The platform analyzes operational data points and uses them to help Delta employees make critical decisions “before, during, and after major disruptions,” according to a Delta press release. Create useful hypothetical results.
8. Process automation
AI has proven to be an effective tool for automating time-consuming processes that are prone to human error. By automating processes, organizations can free up employees to work on more complex projects. Atlantic Health System is using process automation to streamline the process of obtaining prior approvals, driven by the need to alleviate the increased workload created during the COVID-19 pandemic. Automating prior authorizations reduces time to treatment, frees up doctors and nurses to focus on patient care, and reduces the manual effort involved in obtaining authorizations and scheduling appointments. Johnson & Johnson combined RPA with ML, AI, and task mining to identify and automate complex processes across departments. AT&T is another company that has been leveraging process automation since 2015 to reduce manual data entry tasks at scale. It has since evolved to streamline several processes across the organization.
9. Financial reporting and accounting
Intuit is one of the organizations using AI to improve data analysis for customers' financial planning, with more than 730 million “AI-driven consumer interactions per year, resulting in 58 billion machine learning predictions. Intuit uses its proprietary Generative AI Operating System (GenOS) platform to implement large-scale financial language models specific to taxes, accounting, cash flow, and more. This reduces repetitive tasks for employees and helps streamline data entry, transaction categorization, and invoice processing and reduce errors. PWC similarly uses AI to better inform consulting through natural language processing, machine learning, deep learning, model manipulation, automated ML, digital twins, generative AI, embodied AI, responsible AI, and more. . It's clear that more organizations are starting to realize the benefits of AI in financial reporting and accounting, so the company will invest $1 billion over the next three years to “stretch and expand” its AI capabilities. To do.
