- Introduction
- 1. – What are the opportunities offered by artificial intelligence?
- 1.1 – Machine Learning
- 1.2 – Recommendation engines
- 1.3 – Conversational AI to enrich the customer journey
- 1.3.1 – Search Generative Experience (SGE)
- 1.3.2 – Integrating AI into chatbots
- 2. – What are the areas of application for artificial intelligence?
- 2.1 – The health sector
- 2.1.1 – Greater precision
- 2.1.2 – Customised treatment
- 2.1.3 – Advanced monitoring
- 2.1.4 – Medical innovation
- 2.2 – The case of Incepto
- 2.3 – The banking sector
- 2.4 – The case of KBC
- 2.4.1 – Combating money laundering
- 2.4.2 – Assistante numérique Kate
- 2.5 – The food industry
- 2.5.1 – Precision agriculture
- 2.5.2 – Supply chain optimisation
- 2.5.3 – Pest and disease management
- 2.5.4 – B2C applications
- 2.6 – The case of the French start-up “Chouette”
- 2.1 – The health sector
- Conclusion
AI has become an indispensable tool in many professional sectors. Recent years have seen significant advances in this area, revolutionising the way businesses interact, operate and thrive. Technologies such as sophisticated conversational systems and Search Generative Experience (SGE) have opened up new opportunities for businesses looking to improve operational efficiency, enhance decision-making and optimise customer relationships.
What benefits can AI offer businesses? And what opportunities can be seized? Find out everything you need to know about the adoption of this technology and the opportunities it offers for the agri-food, banking and healthcare sectors.
What are the opportunities offered by artificial intelligence?
Machine Learning
AI can be used to analyse your customer data, identify market trends, predict prospect behaviour and optimise your sales operations. Using machine learning, you can make more informed, data-driven strategic decisions. What’s more, particularly in the B2B sector, personalising the customer experience enables your sales staff to generate more personalised offers.
Recommendation engines
Artificial Intelligence can use recommendation engines to analyse buyers’ specific needs and problems. These engines can propose solutions that are adapted and relevant to each customer’s needs. This facilitates the search for appropriate solutions, saves time and reduces the complexity of the purchasing process. Many companies use these engines, including Amazon, L’Oréal and Netflix.
Conversational AI to enrich the customer journey
Thanks to the continuous improvement in the capabilities of AI and machine learning, it is now possible to determine and predict when customers abandon their buying journey. Conversational AI can be used to interact with customers, answering their questions and guiding them through the buying process, improving the overall shopper experience. The integration of these technologies makes it possible to personalise interactions with customers, offering recommendations and solutions tailored to their specific needs.
Search Generative Experience (SGE)
Google’s Search Generative Experience (SGE) is an initiative aimed at integrating generative AI into search results. This technology, which is currently being rolled out in Europe, makes it possible to provide more precise and contextual responses to user queries by using advanced algorithms to understand search intent. SGE has a direct impact on the customer journey from the moment the user performs a search, enriching interaction from the very first points of contact with your brand.
To take advantage of SGE, you need to optimise your content for relevance and context, use compelling images and video, and ensure that your content is aligned with users’ search intent. While this presents a challenge for traditional SEO, it also offers new opportunities to stand out by ensuring your content is cited in AI-generated responses.
Integrating AI into chatbots
AI-based chatbots can play a crucial role in reducing shopping basket abandonment rates and improving customer service. These chatbots can send reminders at key moments to consumers who have left the shopping process, provide them with personalised and unique offers to create a sense of exclusivity, and answer frequently asked questions to help them make a purchasing decision.
Intelligent chatbots also enable your business to respond quickly to customer queries, offering 24/7 support. By automating this service, you can reduce customer waiting times, increase the efficiency of your responses and boost overall customer satisfaction. It also helps build customer confidence in your business.
What are the areas of application for artificial intelligence?
The health sector
By integrating AI into healthcare, doctors can provide more personalised and effective treatments, improve patient management and stimulate therapeutic innovation.
Greater precision
AI is revolutionising healthcare delivery by improving the efficiency and accuracy of diagnosis and treatment. With AI-based diagnostic tools, doctors can analyse large amounts of patient data and detect abnormalities in medical images, such as X-rays and MRIs. This enables early detection of disease, improving outcomes for patients.
Customised treatment
Recent advances, such as Google’s MedLM model, are improving clinical documentation and facilitating the transfer of information between healthcare professionals. These technologies also make it possible to develop personalised treatment plans, offering more precise recommendations based on patients’ genetic make-up and medical history.
Advanced monitoring
Telemedicine and remote monitoring are also benefiting from advances in AI. Wearable devices and AI-based applications enable more effective remote consultations and real-time monitoring of patients’ state of health.
Medical innovation
In drug research and development, AI uses predictive modeling and data analytics to rapidly identify drug candidates and accelerate clinical trials. This helps bring innovative new treatments to market faster, providing better treatment options for patients.
The case of Incepto
A concrete example of a company in the healthcare sector that has used artificial intelligence to generate diagnoses is Incepto, a platform specializing in artificial intelligence solutions applied to medical imaging. The company uses AI to improve patient care, particularly in medical diagnosis.
Incepto develops algorithms capable of analyzing data from medical imaging to identify anomalies or early signs of disease. These tools allow healthcare professionals, such as radiologists, to improve their diagnostic performance, giving them the opportunity to focus on high value-added tasks.
Currently, the use of AI in the healthcare field also extends to prevention, treatment, therapy and patient monitoring. This technological revolution offers promising prospects for more precise, efficient and personalized medicine. However, the intervention of professionals remains essential for the verification of AI and algorithms as well as for medical validations. New business models and organizational adjustments are necessary to fully exploit these technologies.
The banking sector
The banking industry continues to experience significant advancements thanks to artificial intelligence (AI). Here are the key trends and innovations transforming the industry:
Customer support and chatbots
AI-powered chatbots provide instant assistance, answering customer questions and resolving issues in real-time. This improves customer satisfaction while reducing the burden on human customer service representatives.
Security and fraud detection
AI algorithms are used to detect fraudulent activities by analyzing large amounts of financial data. They enable banks to prevent fraud before it happens, protecting customers and reducing financial losses.
Hyper-personalization and recommendations
AI helps banks assess risks and manage investment portfolios. By analyzing complex data, it offers personalized recommendations based on customer preferences and market trends. This includes services such as robo-advisors that provide automated investment advice.
Integration of immersive technologies and voice recognition
Immersive technologies, such as augmented reality (AR) and virtual reality (VR), are redefining customer-employee interactions, delivering more engaging banking experiences. Voice recognition allows users to perform banking tasks through voice commands, improving convenience and accessibility.
Process Automation and Security
Automating banking processes through AI makes operations more efficient, including invoice processing and payment approvals. Advanced security technologies protect sensitive customer data, building trust in banking services.
Le cas de KBC
KBC Group has heavily integrated AI to improve its operations and services, notably through its independent fintech, DISCAI, and its chatbot, Kate.
Fight against money laundering
DISCAI develops AI-based solutions to monitor and combat money laundering. The “Know Your Transaction” application uses advanced algorithms to detect suspicious financial activities, reducing false positives and increasing the accuracy of fraud detections. This solution has been tested and validated in Belgium and within KBC entities.
Assistant digital Kate
KBC also created Kate, an AI-powered digital assistant, to improve the customer experience. Kate provides personalised banking advice and helps users with basic transactions. This assistant becomes smarter with increased usage, delivering an ever more responsive and relevant service.
The agri-food industry
AI has the potential to improve the entire food supply chain, from farm to fork. By monitoring crop health, optimizing irrigation, and automating the harvesting process, AI enables higher yields, reduced pesticide use, and lower costs for farmers.
Precision agriculture
AI-powered drones and robots are contributing to precision farming. They monitor crop health and optimize irrigation, which helps improve yields and reduce environmental impact. For example, AI can analyze data on soil quality and weather conditions to provide accurate recommendations on planting times and fertilizer use.
Supply Chain Optimization
AI can also optimize the agri-food supply chain. By analyzing historical data and market trends, AI algorithms can suggest the most efficient routes for transporting food products, ensuring minimal spoilage and maximum freshness. This benefits farmers, distributors, and consumers by ensuring quality products at affordable prices.
Pest and disease management
Traditional pest and disease management often relies on trial and error methods. AI, by analyzing large amounts of data, can prevent crop diseases by monitoring environmental changes and crop health. AI-powered systems provide real-time alerts and predict potential outbreaks, enabling rapid interventions and reducing crop losses.
B2C Applications
AI can help consumers make informed decisions by providing detailed product information. For example, it can scan nutrition labels to identify allergens and harmful additives. In personalized nutrition, AI can analyze health data and food preferences to offer tailored recommendations, meeting the growing demand for highly personalized services.
AI can also recommend products based on their environmental impact, helping consumers make more sustainable choices. By integrating AI into your e-commerce or click and collect system, you can offer personalized advice and improve the customer experience.
The case of the French startup “Chouette”
This French start-up offers an automated drone capable of monitoring the condition of vines in large vineyards. The images collected by the drone are then analyzed by artificial intelligence to detect possible diseases or health problems in the vines. Thanks to this approach, winegrowers are now able to obtain precise data on the condition of their crops and take appropriate measures to optimize the yield of their production.
What you need to remember
Artificial intelligence is now essential in many business sectors, offering significant benefits in terms of efficiency and personalization.
While AI brings many opportunities in the healthcare, banking and food industries, it is important to recognize that human expertise and oversight remain crucial. AI is a tool intended to assist humans, not replace them. It is also essential to address ethical considerations, such as privacy and bias, to ensure that AI is used responsibly and in the best interest of society.
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