Generative AI in Customer Experience: The 11 Most Implemented Use Cases

Four generative AI use cases for businesses

They can also use it to more easily and quickly create malware tailored to its target, upping their chances of success. Generative AI is proving to be a game changer in cybersecurity, enabling both bad actors and defenders to operate faster, at a higher level and at a larger scale. AI Agents can now engage customers consistently across voice, chat, and text, ensuring seamless conversations without forcing customers to repeat themselves or switch channels to get help. Yet, the knowledge base where the answers to the question are located in large documents is case-independent.

Generative AI (GenAI) is changing the game in software development by automating time-consuming tasks and equipping developers with tools to tackle complex coding problems effortlessly. This subset of artificial intelligence is increasingly becoming a key component in software teams’ workflows as it helps in writing cleaner code, catching bugs early, or writing comprehensive documentation. Some of the more popular GenAI tools for software development include GitHub Copilot, Tabnine, and Code Snippets AI. As participants on a 2023 Deloitte panel observed, actors in government and public service sectors are increasingly using generative AI to build connections among people, systems and different government agencies.

Smart energy management systems powered by AI analyze usage patterns and recommend adjustments, helping manufacturers meet sustainability goals while lowering costs. The integration of AI in manufacturing is driving a paradigm shift, propelling the industry towards unprecedented advancements and efficiencies. At Netguru we specialize in designing, building, shipping and scaling beautiful, usable products with blazing-fast efficiency. In a study published in Nature Medicine, a group of over 35 scholars revealed that they’ve developed a new pancreatic cancer detection technology called PANDA
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Much of the major publicized advancements in gen AI are coming from general-use models focused on individual use cases, not complex business uses, he says. Generative AI use cases in healthcare include automated medical coding tasks, accurately translating patient diagnoses and procedures into standardized codes for billing and documentation. Generative AI for healthcare automates administrative duties such as scheduling, billing, and inventory management, allowing healthcare professionals to focus on patient care. By analyzing patient data, healthcare Generative AI tailors treatment plans to individual medical histories and needs, improving the effectiveness of interventions. In the dynamic healthcare landscape, generative AI holds immense potential to revolutionize patient care. Let’s explore its diverse benefits and uncover how it can transform medical outcomes.

Corporate One enables immediate payments with data orchestration hub

By focusing on strategic solutions, manufacturers can harness the full potential of AI to optimize operations and drive innovation. Optimization with Digital Twins Digital twins in manufacturing are extending their applications to include supply chain simulation. By creating virtual replicas of entire supply chains, manufacturers can test scenarios like demand surges or logistical disruptions and plan accordingly. Introduce training programs to help your team understand and adapt to AI technologies. A well-trained workforce can effectively collaborate with AI systems, maximizing productivity and innovation. For instance, a notable example of a business leveraging AI-based connected factories is General Electric (GE).

By using solutions like Cohere Classify and Cohere Rerank they have developed an interactive interface based on natural language processing to provide users with infectious disease intelligence fast. OpenAI is a frontrunner in generative AI due to its groundbreaking advancements in NLP and image generation.This generative AI company prioritizes building AI systems capable of producing human-like text, images, and other forms of content. Its GPT models and DALL-E technologies have revolutionized applications in content creation, customer service, and creative industries. With a strong focus on ethical AI development and substantial backing from partners like Microsoft, OpenAI is influencing the future of generative AI. Generative AI transforms vast amounts of historical data and external trends into actionable insights that drive better decision-making. For instance, finance teams can leverage predictive models to project revenue growth by analyzing customer transaction patterns while incorporating market trends and economic indicators.

Ready or not, here it comes: GenAI in 2025

AI in quality control enhances production efficiency and accuracy, allowing firms such as Foxconn to produce high-quality goods on a large scale within the quickly changing electronics sector. Synthetic medical data can be analyzed by artificial intelligence to identify patterns that humans are unable to, which comes in handy in drug development. It’s fast and accurate, which is why it is so good at spotting potential drug candidates and speeding up the drug discovery process.

Beyond reactive consumer interactions, generative AI can also solve some of the historically more difficult parts underlying the retail journey—both before and after the more discrete active shopping experience. Customer service assistance and delivery return coordination, in particular, are areas in which customers see potential for improvements. Citizens expect their democratically elected governments to protect their rights and eliminate discrimination. Because AI models stem from human-made data, they can inherit those human biases and prejudices.

Excellent Use Cases for a Contact Center Virtual Assistant

The ability to generate synthetic patient data that adheres to privacy regulations is valuable for research and training purposes, protecting real patient data. Develop methods for explaining AI-generated insights, such as creating visualizations or providing step-by-step reasoning. Businesses can prioritize incorporating interpretable AI techniques into model design to enhance transparency.

• Big pharma and digital health companies that in the past were far from becoming allies are now joining forces to make healthcare delivery better.
• For example, cybersecurity professionals can use GenAI to review code more quickly and precisely than manual efforts or other tools can, boosting workers’ efficiency and the organization’s security posture.
• Before deciding on any implementations, leaders must consider their customer base and market specifics.
• These tools integrate generative AI with a company’s own data for precise responses, allowing the creation of customized virtual assistants that can handle interactive conversations.

Those teams also must confirm that data used to train the AI is the right quality in the right quantity; otherwise, the AI outputs will be faulty, Herold said. Although enterprise security departments aren’t developing their own GenAI capabilities, they still have work to do to get optimal results from their vendor-supplied GenAI, Herold said. That’s a much more advanced capability than conventional security tools that search for known attack patterns and malicious code and can’t alert to a new attack type. “My fear is, as we continue to move in that direction, we are losing the knowledge base that comes from traditional code writing,” he said.

You can turn to GenAI to create marketing materials, including investor presentations, and use a chatbot to quickly answer all of the investor queries. Currently, tasks like invoicing, billing, and payments have already been automated to a degree, but by using AI, you can further optimize and enhance them. Rapid changes in consumer preference and market trends can be disastrous for manufacturers. The process of filtering out “noise”-in this sense, data that are not helpful or incorrect is organized into an easy structure for the AI model to process end. Introducing generative AI in the manufacturing industry or workflow doesn’t happen overnight or automatically.

Customer AI Assistants

While this may be too much for a virtual assistant alone right now, it’s a possible future use case. For instance, the Flow Modelling system by Cresta can determine “troubleshooting paths” for specific challenges based on the impact steps will have on business outcomes. Moreover, long periods of poor employee sentimentcould indicate a risk of burnout, disengagement, or frustration that could affect customer experiences.

Survey: College students enjoy using generative AI tutor – Inside Higher Ed

Survey: College students enjoy using generative AI tutor.

Posted: Wed, 22 Jan 2025 08:01:50 GMT [source]

Compliance relates to the government agencies themselves and private companies within their jurisdiction. Examples of compliance include establishing and following safety guardrails and other laws dictating the use of AI to protect privacy and avoid any type of unequal application. For example, a bank or real estate company cannot use algorithms that discriminate against a specific group for housing or loans.

With a contact center virtual assistant, supervisors can get alerts for signs of negative employee customer sentiment and proactively step in to address the issue. They could even offer agents the option to take a break, reducing the risk of dissatisfaction that may lead to absenteeism or turnover. Keeping track of all agents’ performance metrics in a contact center can be time-consuming and complex. A contact center virtual assistant can help supervisors by alerting them to positive recognition and coaching opportunities. Agents aren’t the only professionals in the customer service team who can benefit from access to an intuitive contact center virtual assistant.

In many cases, the private sector is leading the development and deployment of AI tools and systems. While the private sector can develop their own tools, it’s clear that most governments will need to adopt some technologies built by companies. The US has started exploring a “Manhattan Project-style initiative” (link resides outside of IBM.com)18, which would establish a closer private-public collaboration and fund AI development. In addition, leading universities and nonprofits are conducting significant research into AI, and governments might benefit from partnering with them. The Internet is indebted (link resides outside of IBM.com)16 to the American Defense Advanced Research Projects Agency, which researched network connectivity. Experiments and research at NASA created several modern inventions we still use today, including LEDs and memory foam (link resides outside of IBM.com)17.

Here at Arm, we know that prioritizing your wellbeing is key to unlocking your potential. Scroll through to hear what some of our people have to say about how Arm helps them thrive. As we continue to add more capabilities and architecture features to the Arm CPU, alongside unlocking yet more AI performance for developers through Arm Kleidi, Arm is the mobile platform for the future of AI. Through our ubiquitous CPU technologies that feature in 99 percent of the world’s smartphones and industry-leading mobile ecosystem, Arm is the company which is enabling these amazing possibilities. The Armv9 CPU technologies integrate the latest architecture features for enhanced AI performance, including SVE2.

• Credibly, a lending platform for small businesses, uses gen AI, paired with machine learning, to evaluate loan risk and to speed up the lending process, says Ryan Rosett, co-CEO and founder of the company.
• Cybersecurity was the final AI use case highlighted by Leaders as a worthwhile investment.
• The technology has greatly democratized programming for business users and sped up the process for experts.
• It expedites product development, keeps their quality in check, and predicts equipment features, improving the way manufacturers approach production and maintenance.

Our core competence comes from exploiting AI to improve our own IT services and operations and customer business processes. The vast experience gained from this area and responsibility of business-critical solutions and services, has helped us to form a solid foundation to scale GenAI solution development and full lifecycle approach. On the other hand, GenAI also benefits teachers and administration through task automation, including creating and grading assignments and exams, generating gamified learning programs such as complex quizzes, and producing engaging content. GenAI can tailor the student learning experience, turning lessons into visual dramas for some and crafting narratives and games for others based on students’ preferences, needs and capabilities. The technology is also used to enhance virtual teaching with real-time instructor feedback and support. Generative AI can do more than automate and optimize customer support; it can also reduce the amount of support needed in the first place.

Leaders must understand their organization’s AI vulnerabilities and help ensure that the entire AI pipeline is secured and their data is encrypted. Cybersecurity was the final AI use case highlighted by Leaders as a worthwhile investment. This is because without strict security measures an organization is putting itself and its users at risk, no matter the industry or size of the organization. AI is the path to value for organizations and is exemplified in the recent AI in Action 2024 report. The report explores this path and gives specific examples of what is possible when AI is put to the test. Deutsche Telekom has developed a chatbot for its procurement department that is trained on the company’s policies and historical procurement strategies.

These algorithms can accurately identify defects, anomalies, and deviations from quality standards, surpassing human capabilities. Generative design software for new product development is one of the major examples of AI in manufacturing. It employs generative AI to accelerate the overall design iteration process, making way for optimized and innovative product designs.