Welcome to the forefront of conversational AI as we explore the fascinating world of AI chatbots in our dedicated blog series. Discover the latest advancements, applications, and strategies that propel the evolution of chatbot technology. From enhancing customer interactions to streamlining business processes, these articles delve into the innovative ways artificial intelligence is shaping the landscape of automated conversational agents. Whether you’re a business owner, developer, or simply intrigued by the future of interactive technology, join us on this journey to unravel the transformative power and endless possibilities of AI chatbots.
During my ~2 decades of experience of implementing advanced analytics & AI solutions at enterprises, I have seen the importance of use case selection. I analyzed 100+ AI use cases, their real-life examples and categorized them by business function and industry. Follow the links below based on your area of focuss:
For all business AI applications and their real-life examples/ case studies, you can filter:
Generative AI involves AI models generating output for tasks where there isn’t a single correct answer (e.g., creative writing). Since the launch of ChatGPT, its popularity has exploded. Use cases include content creation for marketing, software code generation, user interface design, and many others.
For more: Generative AI use cases.
Here are the most common artificial intelligence applications covering marketing, sales, customer services, security, data, technology, and other processes.
Data loss prevention (DLP) software leverage AI technologies to achieve
For more, see best practices for using AI in DLP.
Typical use cases include:
For real-life examples: AI in network monitoring
Finance business function led by the CEO completes numerous repetitive tasks involving quantitative skills which makes them a good fit for AI transformation:
For more, see AI use cases in AP automation.
You can also read our article on HR technology trends.
A 2021 survey conducted among global marketers revealed that 41% of respondents saw an increase in revenue growth and improved performance due to the use of AI in their marketing campaigns.
Marketing can be summarized as reaching the customer with the right offer, the right message, at the right time, through the right channel, while continually learning. To achieve success, companies can leverage AI-powered tools to get familiar with their customers better, create more compelling content, and perform personalized marketing campaigns. AI can provide accurate insights and suggest smart marketing solutions that would directly reflect on profits with customer data. You can find the top three AI use cases in marketing:
For more, check out AI use cases in marketing or AI for email marketing. AI-powered email marketing software is among the first AI tools that marketers should work with.
As Gartner discusses, sales analytic systems provide functionality that supports discovery, diagnostic, and predictive exercises that enable the manipulation of parameters, measures, dimensions, or figures as part of an analytic or planning exercise. Machine learning algorithms can automate the data collection process and present solutions to improve sales performance. To have more detailed information, you can read our article about sales analytics.
For more on AI in sales.
Legal counsels can rely on AI in:
For more: Legal AI software
Autonomous things including cars and drones are impacting every business function from operations to logistics.
For more: Generative AI applications in education
For more: Generative AI applications in fashion
For more, feel free to check our article on the use cases of AI in the healthcare industry.
See more use cases of AI in fundraising.
This was a list of areas by business function where out-of-the-box solutions are available. However, AI, like software, has too many applications to list here. You can also take a look at our AI in business article to read about AI applications by industry. Also, feel free to check our article on AI services.
It is important to get started fast with high impact applications and generate business value without spending months of effort. For that, we recommend companies to use no code AI solutions to quickly build AI models.
Once companies deploy a few models to production, they need to take a deeper look at their AI/ML development model.
We examined the pros and cons of this approaches in our article on making the build or buy decisions regarding AI.
You can also check out our list of AI tools and services:
These articles about AI may also interest you:
AI is being applied across nearly every industry, with real-world examples showcasing its potential in marketing, manufacturing, finance, and beyond. This growing variety of use cases listed above highlights AI’s practical impact across business functions.
Yet, value creation requires more than just adopting AI. Organizations must align AI tools with specific goals, ensure ethical data use, and provide the right infrastructure and talent. The most successful use cases combine innovation with strategic execution.
And if you have a specific business challenge, we can help you find the right vendor to overcome that challenge:
Though most use cases have been categorized based on our experience, we also took a look at Tractica’s AI use cases list before finalizing the list. Other sources:
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Good afternoon. I am very curious about your claim that "Elekta has reduced its costs and increased its number of processed invoices from 50,000 to 120,000." Do you have the source for this claim? Thanks!
Hello, Aidan. We weren't able to find the source. So we removed it entirely. Thanks for pointing it out!
We can say that AI is the future of our world. While AI is penetrating in more and more human works, thus creating a demand of AI Industry, AI in healthcare is one of the most surging category in global AI Market. According to Meridian Market Consultants, The global AI in Healthcare Market in 2020 is estimated for more than US$ 5.0 Bn and expected to reach a value of US$ 107.5 Bn by 2028 with a significant CAGR of 47.3%. SOI:
47.3% CAGR? You are so sure about the future. Why don't you guys just sell the time machine rather than the report?
