Home
Hello AI product professionals, I will address a common AI project challenge today: You must have heard of creating AI use cases by industry as part of your product strategy discussions. As a product professional, you would be tasked with figuring out how the industry’s existing OpenAI use cases and GenerativeAI use cases can be used in your projects. So, where do you start to understand AI use cases and their real-life applications?
Have you ever browsed Netflix and felt like it knew exactly what you wanted to watch next? Or you’ve chatted with a customer service bot that seemed surprisingly human-like. Believe it or not, these are just a few examples of the many use cases for AI (Artificial Intelligence) that are transforming our world. But AI isn’t just about flashy entertainment recommendations or chatbots.
AI is also used behind the scenes to tackle complex challenges in healthcare, finance, banking, insurance, and many other traditional industries. In this article, you will discover the AI use case by industry, its real-time applications, and how OpenAI (organisation) and GenAI concept development are already set to disrupt various industries.
AI use case: Empowering digital products across industries
Image source: vecteezy
The possibilities are exploding even further with the evolution of GenerativeAI (GenAI) as a powerful subset of AI. The primary Gen AI use cases include creating entirely new content, from realistic images and videos to compelling music, pushing the boundaries of what AI can do.
As we delve deeper into AI use cases by industry, we’ll explore how both traditional AI and generativeAI are making waves across various industries, including GenerativeAI use cases for marketing and leveraging AI for drug discovery in the healthcare industry. You’ll also learn how you can leverage this technology to innovate in your own field, whether it’s through implementing AI-powered chatbots for customer service or utilising AI for automating repetitive tasks.
1. Types of Use Cases
Ever wonder how that fancy new phone app recommends the perfect restaurant for a night out or how spam filters magically keep your inbox squeaky clean? There are so many examples of Artificial Intelligence (AI) Use Cases by industry in action. But we need to start at the foundation level by addressing what a use case is and how it applies to the wonderful world of AI.
1.1 What is Use Case in Digital Product Management?
Use Case: A use case describes a system’s function to achieve the user’s goal. It must show a favourable, valuable result to the system user.
What are use cases in business analysis? In the world of digital product management and business analysis, creating and defining use cases is a core part of their skill set. In a use case, every user flow and step is identified as a happy or unhappy path, along with event triggers and expected system behaviours.
What are use cases in software engineering? Imagine a use case as a story explaining how someone interacts with a system to achieve tasks like ordering a pizza through a pizza delivery app.
In the world of software engineering, use cases help developers understand what the software should be able to do (think “user logs in” or “customer searches for a product”) in order to help the end user.
What is a use case in testing? The development team tester writes use cases to create scenarios that ensure the software functions as intended.
Imagine one of the use cases for GenerativeAI, which would be to test an AI image creation engine, such as “check user text is correctly converted into an image as per user expectation”.
1.2 What is Use Case in Artificial Intelligence (AI)?
What is an AI use case: Artificial Intelligence use case? Now, combine the concept of a use case with the power of AI, and you get an AI use case. This describes how AI can solve a specific problem or enhance a process.
For example, an AI use case could be:
- AI tool recommends personalised learning paths for students
- AI for an eCommerce site analyses customer reviews to identify product improvement opportunities.
- An AI use case could involve using facial recognition to streamline airport security
- Employing machine learning to predict equipment failures in factories
- Leveraging Deep Learning to identify unattended objects at airports
1.3 What is AI Use Case by Industry?
An AI use case by industry refers to a specific application of artificial intelligence technology that addresses a particular challenge or need within a particular industry. AI is a broad field, and its capabilities can be tailored to various sectors to improve efficiency, automate tasks, gain valuable insights, and ultimately transform how businesses operate.
So, where can AI be used? The answer is almost anywhere! AI rapidly transforms industries from healthcare, insurance, finance, and banking to marketing, automotive and manufacturing.
Identifying strong AI use cases involves understanding your customers’ needs and challenges and deciding which areas are ready for AI transformation.
You may need to automate repetitive tasks, improve customer service interactions, or gain deeper insights from your data. Aligning your product goals with AI capabilities can unlock many possibilities.
The good news is those who can use AI aren’t limited to tech giants. Businesses of all sizes (eCommerce sites, Apps, SaaS products, Information sites, etc.) can leverage AI use cases to gain a competitive edge.
Numerous AI tools and platforms are available, making it easier than ever to integrate this powerful technology into your digital product design, development and operations.
As digital product management professionals (whether you are a Product Manager, Product Owner, Business Analysts, Project Manager, UI/UX Designer, Software Developer, Tester, or Digital Marketing Analyst), you are already beginning to experience the impact of AI use cases on your digital projects.
I am sure by now you are already researching AI use cases by industry and trying to understand which OpenAI use case applies to your digital product. In this article, I will cover a few vital OpenAI use cases.
Finally, why are use cases important? They act as guiding points to build your AI-focused product roadmap, ensuring your AI implementation is focused and delivers real value. By clearly defining your use case of Artificial Intelligence, you can measure success, identify potential challenges, and ensure your AI project achieves its goals.
2. Top 5 OpenAI Use Cases: Powering Innovation
OpenAI, a leading research lab, has developed powerful tools that transform various industries. OpenAI products intend to help companies optimise their processes, reduce costs and be at the forefront of digital transformation and disruption.
Here’s a glimpse into some of the most compelling OpenAI business use cases.
OpenAI Business Use Case
OpenAI as a company (like Google or Microsoft, which have their own AI tools like Gemini and Copilot) is sharing its AI code away for free so that people across the globe can use it and expand it according to their industry-specific use cases. Here’s a glimpse into some of the most compelling OpenAI business use cases:
Use Case 1) Content Creation Powerhouse
OpenAI’s language models like GPT-3 excel at generating human-quality text formats. This translates to a range of content creation applications. Businesses can leverage OpenAI to craft compelling marketing copy, generate product descriptions, or write creative text formats like poems or code.
Use Case 2) Personalisation at Scale
Personalisation is critical to a positive user experience. OpenAI’s text-to-image generation capabilities can be harnessed to create personalised product recommendations. OpenAI tools also help design unique marketing materials tailored to individual user preferences.
Use Case 3) Chatbots that Converse
OpenAI’s ability to understand and respond to natural language makes it ideal for developing chatbots that can engage in meaningful conversations. Customer service chatbots powered by OpenAI can answer questions, troubleshoot problems, and even provide emotional support.
Use Case 4) Code Companions
OpenAI’s Codex tool is a game-changer for programmers. Codex can translate natural language instructions into actual code, streamlining development and automating repetitive coding tasks. AI developers and other project team members can focus on more complex problems.
Use Case 5) Accessibility for All
OpenAI’s text-to-speech and speech-to-text functionalities hold immense potential for improving accessibility. Just think about a visually impaired person using an OpenAI-powered tool to convert text on a webpage into audible speech or someone with speech difficulties utilising speech-to-text for more accessible communication.
These are just a few examples of how OpenAI fosters a more inclusive future.
3. Top 5 AI Use Cases by Industry: Transforming How We Work
Artificial Intelligence (AI) is rapidly transforming industries across the board, streamlining processes, enhancing decision-making, and creating new possibilities. Here, we explore the top 5 AI use cases by industry sectors that have digital products & services:
AI Use Cases by Industry
Before we dive into the exciting world of generative AI, let’s explore the foundational ways AI is already transforming various industries. From banking, financial services and healthcare to education and insurance, AI is streamlining processes, enhancing customer experiences, and empowering professionals.
Use Case 6) AI Use Cases in Financial Services
From fraud detection and risk management to personalised investment advice, AI is making financial services more secure and accessible. AI algorithms can analyse vast datasets to identify real-time suspicious transactions, preventing financial fraud.
Additionally, AI-powered chatbots can provide 24/7 customer support and even tailor investment recommendations based on individual financial goals and risk tolerance.
Use Case 7) AI Use Cases for Healthcare
AI plays a pivotal role in revolutionising healthcare. AI-powered diagnostic tools can accurately analyse medical images, aiding in early disease detection. Furthermore, AI can be used to develop personalised treatment plans and even predict potential health risks.
This empowers healthcare professionals to provide more targeted and effective patient care.
Use Case 8) Use Cases of AI in Banking
The banking sector embraces AI to streamline operations and enhance customer experience. AI chatbots can handle routine inquiries, freeing human staff for more complex tasks.
Additionally, AI can personalise banking products and services, recommending suitable credit cards or loan options based on a customer’s financial profile.
Use Case 9) AI Use Cases in Insurance
The insurance industry uses AI to optimise risk assessment and fraud prevention. AI algorithms are developed to understand and analyse vast amounts of data, including driving records and medical history, to provide more accurate risk assessments, potentially leading to fairer insurance premiums.
AI engines are preparing to detect fraudulent insurance claims, reducing costs for insurers and policyholders.
Use Case 10) AI Use Cases in Education
AI personalises students’ learning experiences and transforms educators’ roles. AI-powered tutoring systems can provide targeted instruction based on a student’s individual strengths and weaknesses.
Additionally, AI can automate tasks like grading essays and scheduling, freeing up teachers’ time to focus on more personalised student interactions.
4. Top 5 GenerativeAI Use Cases by Industry:
Reimagining Industries with Creativity
GenerativeAI, a rapidly growing branch of Artificial Intelligence, allows computers to create entirely new content. This opens doors for exciting applications across various industries. Let’s explore the top 5 GenAI use cases revolutionising specific sectors.
GenerativeAI Use Cases by Industry
We’ve explored the top 5 ways AI is transforming industries in general. Now, let’s delve deeper and see how GenerativeAI, a revolutionary subfield allowing computers to create entirely new content, explicitly impacts various sectors. From simplifying financial information to accelerating drug discovery and personalising education, generative AI unlocks exciting new possibilities.
Use Case 11) GenerativeAI Use Cases in Financial Services
Beyond fraud detection, GenAI transforms financial services with creative capabilities. Imagine AI generating personalised financial reports with clear and concise narratives, simplifying complex financial information for customers.
Additionally, GenerativeAI could create unique marketing materials, crafting compelling yet compliant content for various financial products.
Use Case 12) GenerativeAI Use Cases in Healthcare
GenAI holds immense potential in drug discovery. AI can generate new molecule structures with desired medical properties, increasing the speed with which we can identify potential drug candidates.
Furthermore, GenerativeAI could create personalised treatment plans by tailoring recommendations based on a patient’s medical history and genetic makeup.
Use Case 13) GenerativeAI Use Cases in Banking
Banking embraces GenAI to enhance customer experience. Imagine AI chatbots that can answer questions and generate personalised financial forecasts based on a customer’s spending habits.
Additionally, GenerativeAI could create unique security protocols, automatically generating complex passwords or one-time codes for added security.
Use Case 14) GenerativeAI Use Cases in Insurance
The insurance industry can leverage GenerativeAI to streamline claim processing. GenAI could analyse accident reports and automatically generate clear, concise summaries, expediting the claim evaluation process.
Additionally, AI could create personalised insurance policies, dynamically adjusting coverage based on an individual’s risk profile and specific needs.
Use Case 15) GenerativeAI Use Cases in Education
GenAI personalises education and fosters student creativity. Imagine AI-powered writing assistants that help students brainstorm ideas and generate essay outlines.
Furthermore, GenerativeAI could create customised learning materials, adapting content difficulty and format to cater to individual student learning styles.
5. Final Thoughts: A Glimpse into the Future
of AI-Powered Products
As we’ve seen, GenerativeAI presents a treasure trove of possibilities across various industries. From crafting personalised experiences to accelerating scientific research, this technology is poised to reshape the future.
But how can product managers and product professionals leverage GenerativeAI to create innovative digital products? In our upcoming series of blog posts, we’ll delve deeper into this very question. We’ll explore practical strategies for integrating GenAI into your product development roadmap, showcase real-world examples of successful implementations, and equip you with the knowledge to harness the power of AI for your digital product.
Have you ever envisioned an AI-powered feature that could revolutionise your product? We’d love to hear your thoughts! Leave a comment below and share your ideas on how GenerativeAI could create a more engaging and user-friendly digital experience. After all, creative minds like yours are shaping the future of AI!
How can DSM help you future-proof your digital career: master AI skills in product management?
Maybe you’re a Product Manager, Business Analyst, Product Owner, Product Analyst, or even a Product Leader. Regardless of your job role, if you ever feel like you’re not reaching your full potential, DSM is here to help.
Our comprehensive AI upskilling programs equip you with the hands-on knowledge and practical expertise to excel in your career and grow into a leadership role by leveraging the power of AI. Whether you’re a beginner or seeking to master specific AI skills relevant to your role, our programs can help you automate tasks, make data-driven decisions, and gain a competitive edge. DSM empowers you to thrive in an AI-driven future.
We understand the specific digital project challenges you face:
Product Managers: Do you ever feel frustrated by goals that seem impossible to reach, or a lack of user connection with your product? The root cause might be lurking behind the scenes – poorly defined OKRs, an unclear product vision, or confusing roadmaps. These challenges can create misalignment with the company strategy and leave your prioritised backlog feeling irrelevant. But deep down, you crave successful launches and thriving user engagement. DSM can help bridge the gap and turn those frustrations into triumphs.
Business Analysts: Ever feel caught between unclear project requirements and communication gaps with developers? These roadblocks can lead to project failure and leave you worried about your impact on the company. But you know your contributions deserve recognition, and you crave opportunities to grow. DSM empowers you to bridge the communication gap, master the latest tech tools, and conduct sharp business analysis. We’ll help you define impactful product metrics, ensuring your valuable insights drive successful projects.
Product Owners: Do you ever feel caught in the crossfire between a murky product vision and relentless stakeholder demands? This constant battle can make prioritizing customer needs a nightmare. The fear of negative user feedback due to poorly defined acceptance criteria, or losing market share altogether, keeps you up at night. DSM can be your secret weapon. We’ll equip you to champion a clear product strategy, build rock-solid cross-functional relationships, and launch products that delight your users.
Product Leaders: You wear many hats – leading your product team, managing C-level stakeholders, and championing your product to customers. Success hinges on securing executive buy-in, stretching limited resources, and staying ahead of the curve. But the fear of missing business goals due to poorly defined OKRs or losing market share can be a constant weight. DSM empowers you to build and lead high-performing Agile teams, navigate new technologies with agility, and orchestrate flawless product launches – even with a less-than-ideal initial plan.
DSM offers the tools and support to conquer AI product management challenges
- Master essential skills: Don’t let a skills gap hold you back. Identify your skill deficiencies through our comprehensive assessment. Utilise our curated online resources to master the in-demand skills critical for success in today’s digital landscape.
- Stand out from the crowd: Gain industry-recognised certification by completing our program, solving case studies, and attending live webinars with experts. This comprehensive journey equips you with the knowledge and practical skills to excel in your projects while validating your expertise through a well-earned credential.
- Elevate your expertise: Don’t settle for average. Connect directly with seasoned professionals (Onkar and Himani) who will become your personal mentors. These industry veterans will guide you to unlock your full potential, conquer real-world project challenges, and become a leader in your field. Embrace personalised coaching and chart your path to professional mastery.
- Access exclusive resources: Don’t waste time searching for scattered resources. Dive headfirst into our exclusive treasure trove of practical learning materials. Master the latest AI skills through concise short courses. Solidify your knowledge with comprehensive eBooks and actionable checklists. Deepen your understanding by exploring real-life project case studies in masterclasses. Hit the ground running with free, ready-to-use templates.
- Fast-Track Your Career: Don’t settle for linear progress. Our comprehensive programs, powerful tools, and curated resources empower you to take a quantum leap in your career. Whether you seek a promotion from Business Analyst to Senior BA, a transition to Product Management, or leadership within the field – we’ve got you covered. Access 1-on-1 mentorship and expert coaching tailored to your specific career stage.
Join DSM Free Platform today for continuous upskilling
Don’t let your frustrations hold you back. With DSM, you can achieve your desires and overcome your fears. Become a hero in the world of digital product management.
Ready to start your career transformation? Sign up for FREE today and take the first step towards a future-proof career in digital product management!
For more information on DSM, check out:
DSM Pro (An exclusive membership club for product professionals): https://digitalskillsmastery.com/subscriptions/
DAPM (Digital Agile Product Manager Training Programme in B2B-B2C Industry): https://digitalskillsmastery.com/digital-agile-product-manager-training-programme-in-b2b-b2c-industry/
DSM Inner Circle (personalised coaching, mentoring and consulting): https://digitalskillsmastery.com/inner-circle-product-management-coaching/
3rd Party References for this blog:
At the end of the day, we’re all learning from each other as humans to become more intelligent in managing artificial intelligence. Here are some additional resources to explore:
- Transforming Business in 2023: 23 OpenAI Use Cases for the Enterprise https://OpenAI.com/form/for-good-use-cases/
- OpenAI API Examples https://platform.OpenAI.com/examples
- 12 Most Popular AI Use Cases in the Enterprise Today https://www.cio.com/article/1290324/cio-insights-whats-next-for-ai-in-the-enterprise.html
- Transformation with Speed and Confidence: GenerativeAI Use Cases https://www2.deloitte.com/us/en/pages/consulting/articles/generative-artificial-intelligence.html
