Using artificial intelligence in business: 25 examples to inspire you!

Wondering how AI is being used in business , and what you can do with it?

Artificial intelligence is now at the heart of all business issues. Most organizations are well aware that this technology is helping them to boost their performance and competitiveness. But they still need to know how to use it with finesse, how to tame this AI that some still thought, only yesterday, reserved for a few works of science fiction. 🚀

As with many innovations, the best way to discover how to make the most of artificial intelligence is to look next door for inspiration.

So, between generic use cases and concrete illustrations, discover 25 examples of artificial intelligence in business.

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Artificial intelligence in the enterprise: 15 examples of use cases

When it comes to artificial intelligence, there are many use cases . All are generally aimed at one or more of the following objectives:

• increase productivity ;
• deploy a more relevant strategy
• improve customer experience;
• become more agile and innovative;

🔎 To learn more, read our article Understanding the use of AI in business to boost efficiency and innovation.

With that said, let's find out more about the main applications of AI in business, addressed to different professions and industries (and therefore inevitably yours!).

#1 Virtual assistants

This is undoubtedly one of the most striking manifestations of AI within companies in recent years.

These virtual assistants, distinguished by their conversational intelligence and whose technology is largely based on natural language processing, support employees in carrying out a variety of tasks:

• answering questions ;
• sort e-mails according to urgency ;
• automatically schedule meetings ;
• writing summary reports, etc.

The best part? These assistants learn over time, to increase your efficiency ever more! 💪

#2 Content creation

With the explosion of ChatGPT, professionals have realized what a boon AI is for content creation, and of all types:

• blog articles, white papers or social network posts for marketing ;
• product descriptions for e-commerce sites
• job offers for recruitment and human resources departments;
• emails and sales pitches for the sales department;
• audio content, such as self-narrated podcasts ;
• infographics, based on automatically visualized data, etc.

#3 Intelligent recommendation

Well-appreciated by marketers, recommendation and personalization enable you to offer truly differentiating experiences to your customers, and suggest products that are likely to appeal to them.

Here too, artificial intelligence comes to the rescue. It relies on machine learning to deliver the right message, at the right time, to the right person. And that clearly boosts consumer engagement!

💡 This technology is also used to train employees, who then benefit from courses tailored to their needs (adaptive learning).

#4 Personalizing the user experience

If intelligence helps you offer recommendations that hit the nail on the head, it offers you the opportunity to go even further in personalizing the customer journey.

👉 For example, by analyzing user behavior in real time, AI adjusts the interface and interaction to precisely meet their needs, in favor of a truly unique customer experience.

#5 Chatbots

Always with the same desire to improve the customer experience, how can we not think of chatbots, now capable of automating the responses provided to customers? In fact, this is one of the most visible use cases for artificial intelligence in business.

More concretely, behind every chatbot is an AI that analyzes user requests in real time to solve their problems, while simulating a human conversation (because customers don't want to talk to robots!).

The benefits of this technology are twofold:

• the company, for its part, makes significant savings ;
• the customer benefits from 24/7 assistance.

#6 Process automation

Another widespread use of artificial intelligence in business is the automation of processes and repetitive, low-value-added tasks. And this use of AI can be found in all fields and professions!

We've already talked about artificial intelligence writing content for you, but it doesn't stop there! It can, for example, optimize :

• accounting (data entry, invoice classification, document analysis, etc.) ;
• HR, including recruitment via automatic CV analysis;
• support, where AI proves invaluable in handling e-mails and requests.

#7 Predictive analysis

Predictive analysis uses artificial intelligence to anticipate future events by studying past data. Handy for companies when they want to make strategic decisions!

👉 For example:

• in the retail sector, AI predicts product demand, for better inventory management ;
• in manufacturing, AI predicts equipment breakdowns using sensors;
• in marketing, it's possible to predict future consumer behavior... and thus stay one step ahead of the competition!

#8 Real-time decision-making

If AI enables us to see the future, let's not forget that it also helps us to understand the present. And instantly.

👉 Here, artificial intelligence proves particularly useful in stock management processes. Indeed, in the face of growing consumer demands (and impatience!), it's more important than ever for companies to be agile when it comes to replenishment, or even calculating delivery routes.

#9 Anomaly detection

AI also stands out for its ability to spot small inconsistencies, unusual behaviors that might escape the vigilance of a human being.

A boon for many professions, particularly those in finance.

👉 A concrete example: artificial intelligence can automatically analyze thousands of accounting lines, and consequently spot :

• an invoice twice as high as usual ;
• a payment to a new, unlisted supplier;
• an out-of-procedure expense, etc.

All of which means you can react immediately, even before the accounting department closes the books for the month.

#10 Computer vision

Computer vision is transforming the way organizations interact with the physical world. Thanks to artificial intelligence, machines can interpret images or videos in real time. And they often operate much faster than humans.

What's more, by leveraging deep learning technology, AI is now able to process much more complex data.

👉 As a result, computer vision is working miracles in certain fields, notably the medical sector. It assists professionals in the sector in developing their diagnoses, to detect anomalies invisible to the naked eye (tumors, signs of stroke, etc.).

#11 Facial recognition

Deep learning, and its qualities in image analysis, is also being exploited for security, more specifically for facial recognition.

👉 For what purpose? For example, to authorize employee access to secure areas or machines, or to automate employee time and attendance.

#12 Simulation and modeling

AI-based simulation and modeling help organizations test complex scenarios, bypassing risk.

👉 If we take the case of industry, this involves creating virtual replicas of production lines, in order to make adjustments (changing equipment, introducing a new procedure, etc.), without costly interruptions.

#13 Text-to-speech

With text-to-speech technology, companies see text transformed into speech... as if by magic 🪄. Here's a handy feature for customer support, which then relies on voice assistants, available 24/7. Another benefit of this technology: improved content accessibility for the visually impaired or dyslexic.

💡 Speech synthesis now relies on advanced phonetic models, which can adapt intonation and expressivity in a bluffing way.

#14 Machine translation

We told you earlier that AI writes for you. And what if, with just one click, it could also translate these texts into the languages of your choice?

This would greatly simplify commercial exchanges and make it easier to export your products (and all the communication that goes with them) across all five continents.

#15 Intelligent document filing

Let's conclude this list of use cases by reminding you how artificial intelligence is revolutionizing data management in the enterprise.

With AI, companies automate the sorting as well as the organization of their documents, whether in text, image or PDF form.

👉 Various sectors, such as finance, insurance or legal, deal with a large number of documents (contracts, invoices, etc.) on a daily basis. As a result, they greatly appreciate this technology for simplifying information archiving and retrieval.

Which companies are using artificial intelligence? 10 inspiring examples

By now, you're familiar with the main use cases for AI.

Now discover 10 concrete examples of how well-known companies are taking advantage of it, whether to:

• putting this technology to work for their customers;
• or improving their own internal processes.

#1 SAP (AI and the enterprise)

German software giant SAP, like many other software publishers, is now introducing artificial intelligence into its solutions, in order to offer its users tools that are in step with market developments and challenges.

🛠️ For example, by using SAP S/4HANA, a new-generation ERP, companies can manage their operations more efficiently. This solution integrates artificial intelligence and automation to optimize a number of operations, such as financial management and supply chain management.SAP S/4HANA's AI also enables organizations to analyze all their data in real time, even large quantities, for a global view of their performance.

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#2 L'Oréal (AI and recruitment)

L'Oréal is a good example of a company using artificial intelligence for recruitment.

Indeed, we know that the brand relies on AI-powered tools to sort through CVs and study candidates' responses during video interviews.

💻 In fact, most recruitment software (ATS) now includes these technologies, designed to identify profiles more quickly and ensure their compatibility with the company's culture as well as the skills in demand.

#3 Orange (AI and customer service)

Orange has developed an AI-based intelligent voice assistant to enhance the customer experience.

What's it called? Djingo.

Its mission? Answer customers' questions as if it were a human.

🍒 The icing on the cake is that this chatbot understands and interacts with its interlocutors in several languages, providing Orange customers with 24/7 multilingual support.

#4 Netflix (AI and recommendations)

When we think " AI and recommendations ", we inevitably think of Netflix, reputed to excel in this field.

Here, artificial intelligence begins by analyzing user behavior: what are they watching, when, on what device, for how long, etc.?

Then, thanks to machine learning algorithms, Netflix adapts not only content suggestions, but also the thumbnails displayed for the same film according to customer profile. More of a romantic comedy fan? The poster will show a funny or romantic scene. A thriller fan? The user will see a dark, mysterious image of the same content. Bluffing!

#5 Airbus (AI and industry)

Airbus is a perfect example of artificial intelligence in industry, used, among other things, to optimize aircraft production.

More concretely, like many factories, Airbus uses AI to adjust manufacturing schedules in real time, pilot its logistics (anticipating delays in the delivery of parts in particular) or deploy a predictive maintenance process.

#6 Google (AI and search)

Google, with its Google Cloud AI, is one of the world leaders in the use of artificial intelligence.

We also know of Google's propensity to use artificial intelligence to improve search algorithms, and consequently refine personalized advertising.

Last but not least, there's the American giant's famous Google Assistant. Based on natural language processing technologies, it is now a commonly used tool in a multitude of homes and businesses.

#7 Amazon (AI and commerce)

When it comes to exploiting AI in e-commerce and warehouse management, Amazon is a pioneer.

Indeed, via intelligent robots and powerful IT systems, Amazon has dramatically reduced delivery times (thereby anchoring new standards in consumers' minds) and continues to improve the overall efficiency of its inventory management.

👉 Note also the use of AI to personalize, in a highly relevant way, product recommendations on its platform.

#8 Facebook (AI and advertising)

Facebook/Meta... here's another example of a company relying on artificial intelligence to refine its advertising algorithms.

This is why businesses, as well as millions of other users of the social network, see targeted ads scrolling by every day, based on the analysis of their online behaviors.

👉 It's also worth noting that Meta has clearly grasped the benefits of artificial intelligence in its (titanic!) work of content moderation.

#9 Carrefour (AI and logistics)

Carrefour uses AI in its logistics and inventory management processes.

Thanks to machine learning algorithms, the company accurately forecasts demand for products in its stores and optimizes replenishment operations.

It thus guards against costly overstocking while avoiding out-of-stocks that look bad to customers.

#10 Société Générale (AI and stock market)

Let's finish with Société Générale, a perfect example of a company that uses artificial intelligence in the stock market, particularly as part of its trading services.

Indeed, its technology analyzes stock market trends in real time to support investors in their decision-making. The bank also uses automated trading algorithms to execute transactions faster and more accurately.

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Examples of artificial intelligence in business: what impact for today and tomorrow?

Now you know what the most common examples of artificial intelligence in business are. Now all you have to do is take advantage of them!

However, while AI promises a multitude of advantages in terms of performance and innovation, it is not without its challenges. In fact, there are three major challenges facing professionals in their headlong rush to harness artificial intelligence:

• data protection, due to the increasing volume of data collected, data for which a maximum level of confidentiality must be guaranteed (under, among other things, the RGPD) ;
• the fight against discrimination, since artificial intelligences sometimes help to convey biases and standardize ways of thinking;
• maintaining jobs, by supporting employees in this transformation of professions.

In short, artificial intelligence deserves to be deployed... with good intelligence. This means understanding both its challenges and its limits, with a view to maintaining that touch of humanity that will win over customers.