The types of artificial intelligence and their applications in business
Even though artificial intelligence may seem like a novelty to many, it has been operating in our environment for over half a century. Artificial intelligence is behind Internet searches, shopping recommendations, and car navigation. In other words, the question is not whether AI exists but whether it already supports your business and how it can improve it.
Artificial intelligence: what is it and what is it not?
Artificial intelligence (AI) has become one of technology’s most enthralling and hotly debated topics. How does the term come about? In a nutshell, AI is machines’ ability to replicate human skills such as reasoning, learning, planning, and creativity.*
AI-based systems can observe the environment, analyze what they see, and solve problems to achieve a specific goal. Their ability to act autonomously, learn, and grow is derived from analyzing the consequences of previous actions.
One field related to AI is machine learning, which seeks to uncover patterns in data through algorithms that learn and evolve. Also included are deep learning techniques, which utilize neural networks with multiple hidden layers to process data and provide even more advanced analysis.
Artificial intelligence in today’s business
Nowadays, everyday business applications of AI are dominated by large-scale language models (LLMs) and machine learning strategies more generally. The ability of machine learning to analyze huge data sets and predict future events as well as create new content finds applications in a wide variety of industries, from marketing to finance.
In the meantime, language models, such as those in chatbots or customer service systems, have revolutionized customer communication and interaction. Even small businesses have access to AI-based tools in the digital age, demonstrating the ubiquity and accessibility of the technology. It also means it will soon be as prevalent as smartphones after the era of simple phones.
Statistics show that most business leaders are aware of coming changes. Eighty-four percent of them believe artificial intelligence should be adopted and used to achieve their business objectives.**
Selected types of artificial intelligence and their applications
Some of the more popular AI algorithms are artificial neural networks and, in recent times, large language models – commonly used in solutions such as customer service chatbots or social media sentiment analysis. Machines can respond in an almost natural manner to human queries as a result of these capabilities.
Computer vision systems fall under the category of artificial intelligence as well. The retail industry relies heavily on these to recognize products at the checkout line and monitor inventory in real-time, among other things.
However, it is worthwhile to note that machine learning is not just about learning from text or images but also from tabular data. It contributes, for instance, to supply chain optimization through demand forecasting. It may also come in handy in medicine, where it can be leveraged in diagnosing diseases, analyzing medical images, interpreting laboratory results, developing treatment and therapy plans, and monitoring patient conditions.
Case study – hands-on application of AI in business
To illustrate AI applications in business, let’s take Bunge Polska Sp. z o.o. of Kruszwica as an example. The company manufactures food-grade vegetable fats, and its labels have been tainted by errors in the past.
The company decided to streamline its labeling process by implementing LabelScan, an application designed by Solwit’s team. The tool based on artificial intelligence algorithms from the Computer Vision field enables instant evaluation of label samples and compliance with applicable standards on the production line.
As a result of this solution, the label verification process has become automated, rapid, and precise, achieving a 99.9% accuracy. Using LabelScan, Bunge has avoided costly downtime due to misprinted labels, ensuring no re-labeling is needed.
The use of proprietary AI software in retail
In the retail industry, it is extremely important to display products on shelves properly. To facilitate this, the Shelf Inspection AI system was created to automate the process of reporting and verifying the correct presentation of goods according to established planograms. With the help of machine learning algorithms, the system provides valuable analytical data in real-time, recognizing objects in images in 99.5% of cases and in a fraction of the time it would take a human to do so.
Moreover, Shelf Inspection AI delivers automated analysis results and reports in under a minute. This allows businesses to control the labeling of promotional campaigns, verify merchandise display according to schedule, and benefit from clear reports that aid decision-making.
We extend a helping hand to you.
The use of AI technology in your business can give you a competitive advantage and lead to innovation. It’s not a good idea to leave things to chance if you’re not sure how to get started or what solutions are suitable for your needs. Take advantage of Solwit’s expertise and experience, which specializes in developing and implementing artificial intelligence solutions.
Regardless of your industry or business size, Solwit’s team can help you discover and appreciate the full potential of AI technology. Get in touch and set up a free consultation with our specialists!
** https://www.accenture.com/us-en/insights/artificial-intelligence-summary-index