Artificial intelligence as a component of data science is gaining ground at a particularly rapid pace and is becoming an integral part of our everyday lives. AI is also becoming increasingly important in the corporate context, as its potential for optimizing operational decisions, creating forecasts and determining potential for improvement in your company is enormous. However, in order to make the best possible use of artificial intelligence, most companies are dependent on support, as it is not easy to recognize and exploit all the potential of AI consulting independently. In this context, we provide you with competent and comprehensive AI consulting for the development of strategies.
What is AI consulting about?
The aim of AI consulting is to make it easier for you and your company to deal with AI and to create benefits in the process. The biggest (but not the only) advantage of artificial intelligence is the ability to optimize and automate processes. However, it is important to know which processes can be automated with the help of artificial intelligence and how productivity can be increased as a result and through the implementation of self-learning AI-based systems. With the help of artificial intelligence, it is therefore possible to create links, recognize correlations and manage existing data records better and more efficiently and expand them with additional data, regardless of your industry.
Our services in the field of AI consulting
- Development of an AI strategy that is tailored to your company, your data and the business objectives to be achieved – with your close involvement
- Identification of weak points and optimization potential in company processes as well as possibilities for automating routine processes
- Development of AI-based solutions for implementation in your company
- AI-based data analysis and evaluation
- Support in scaling artificial intelligence and developing new technologies in your organization so that all AI projects and solutions could work successfully
Which experiences did our customers make with Novustat AI consulting
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Benefits of AI consulting for your company
- Relieving the burden on employees by automating routine tasks and integrating new technologies and systems
- Process optimization through the use of chatbots and other AI applications
- Driving sustainable innovation based on data and trustworthy artificial intelligence
- Modernization of data management through selected AI functions
- Increasing productivity and efficiency through AI-based self-learning systems
- Ensuring faster and reliable responses in real time based on AI solutions
- Increase the effectiveness of data usage by your employees
- Improving the recognition of correlations and links for decision and process optimization
Case studies on the use of AI consulting
AI solutions and assistants
Through the use of various AI solutions, AI-based assistants and data science, it is possible to improve your services for customers by automating routine processes. For example, your customers can be supported around the clock by self-learning chatbots, which answer your customers’ questions, make appointments and perform other routine tasks.
AI forecasts
Automated creation of forecasts and projections with the help of AI solutions enables optimized execution of data evaluations, improvement of big data analysis and optimization of existentially important strategic decisions in your company, such as the integration of new technologies
Document and pattern recognition
With the help of AI, it is possible to recognize, analyze and evaluate your data, documents, images and patterns. Structured, unstructured and semi-structured data can be optimally processed without your intervention, so that you can obtain the information you need regardless of the original data form.
Use of AI in the human resources sector
AI technology provides companies from a wide range of industries with a variety of solutions to support their HR department. Digital assistants can be used to automate the process of recruiting and onboarding new employees, reducing the workload for your HR staff. In addition, artificial intelligence can be used to automatically perform profile analyses, develop individual coaching and training programs and facilitate personnel selection.
Artificial intelligence in marketing
In marketing, AI-based solutions are used in customer service (e.g. in the form of the aforementioned chatbots and other automated services), but also in content marketing, as part of customer analytics in the analysis of the customer journey and customer behavior, in pricing and in other marketing areas. AI solutions and data science make it possible to gain a deeper understanding of customers in every industry, ensure a personalized customer approach and better track and optimize all marketing activities.
AI consulting: Who and when?
We have a team of competent and dedicated AI consultants who are experts in data science and the use of AI solutions and are dedicated to solving your optimization problems with intelligence and understanding. They can also provide qualified consulting services. Before the start of the AI consulting, our specialists get to know your company and create a consulting plan that is individually coordinated with you. The AI consultation is carried out online, so you can decide for yourself when and where the consultation takes place. Thanks to a high degree of flexibility and the individual approach, you will receive customized AI consulting that meets your objectives. We offer AI consulting in both German and English.
Costs of AI consulting
The cost plan for your company’s AI consulting is drawn up individually – you agree this before the start of the AI consulting. We make recommendations regarding the scope and duration of the AI consultancy depending on your goals and interests. In doing so, we make sure that you could receive added value through AI consulting services that can be translated into concrete business profits.
AI consulting: First step on your way to a data-driven organization
AI is the future – this is already visible today. Look at the example of AI Chat GPT – an AI-based software that has conquered the whole world in just a few weeks. AI solutions are efficient, convenient and relatively easy to use – if you know how to implement them. Not developing an AI strategy today is a risky decision in the face of intensified competition. What’s more, you will be missing out on numerous and varied opportunities to optimize your processes and improve your decision-making, which can also help you to become more competitive. For this reason, now is the best time to take advantage of AI consulting – these investments will pay off! And we will be happy to support you on your way to becoming a data-driven company.
How to develop the artificial intelligence of tomorrow with machine learning!
When people read about machine learning, the term artificial intelligence is often used in the same breath. These terms are often used interchangeably. But what is artificial intelligence? And is the term synonymous with machine learning? In this article, you will learn how to classify these terms. We also look at different learning and training methods and explain the difference between supervised and unsupervised learning.
Do you have questions about the application and implementation of machine learning methods? Simply use our contact form for a free consultation on data evaluation & a non-binding offer – or give us a call.
Acting as if: What is artificial intelligence?
You have probably already noticed that you no longer have to formulate your questions in online search engines as precisely and accurately as you did ten years ago. Search engines now seem to be able to guess what you want to know and even understand whole sentences. The search results often contain the answers you were looking for, even though the search terms may not have been so clear. It seems as if someone is analyzing and interpreting the search queries.
On the other side of the search engine field, of course, is not a human being, but rather a computer network. Artificial intelligence has been trained to take on the task of understanding. And it can do this much faster than any human – and for thousands of search queries at the same time.
Novustat can answer these and other questions about machine learning algorithms and artificial intelligence competently and in detail. Contact us without obligation using our inquiry form. We will be happy to advise you, be it statistics consulting or data mining consulting.
Let’s stick with this example! The aim of artificial intelligence is to understand any search query and, above all, the intention of the writer. It pretends, as it were, that the search query is being made to an intelligent counterpart. But apart from processing search queries, the trained intelligence is not capable of much. It can neither write novels nor solve unknown differential equations. But it is a master in its specialty.
Machine learning is the way to get there
What is artificial intelligence? One possible answer could be that we are talking about machines that show human (i.e. intelligent) reactions in general or for certain tasks. However, as mankind lacks a clear definition of the term intelligence, a variety of answers to the question “What is artificial intelligence?” can be found. What is clear is that artificial intelligence is an abstract construct. The term describes a research question rather than a concrete concept. However, this question is not: What is artificial intelligence? How is artificial intelligence?
In other words, how do you get a computer to react to an input like a human? One approach to the question is the following consideration: What makes a human react to a situation like a human? One answer to this can be found in our gift of learning. We have already experienced many similar situations and have memorized various possible outcomes to a greater or lesser extent. We can therefore estimate which reaction on our part will lead to which result. We also use the knowledge we have learned to predict the future. So computers have to learn. Since mankind had no better term, the simulated intelligences were simply called machines. And so machine learning was born.
It is therefore a tool for getting a computer to react intelligently to an input. This is also the most important point to understand about machine learning: Artificial intelligence (AI) must be able to learn. In technical terms, this is known as training. An AI is only as good as its training. The analogy to humans is obvious here.
So what does supervised vs. unsupervised machine learning mean?
There are 3 main concepts, three so-called learning methods, to allow the machine to learn. Very similar to children, one way is to explore the world on your own. This is called “unsupervised learning”. This is mostly used for classification intelligences. The computer learns to distinguish and group different subjects based on certain characteristics. This is used, for example, in online stores for the well-known “other customers also bought” column.
If you send a child to school and have them learn arithmetic using predefined question-answer pairs, this is classic supervised learning. With machine learning, we speak of tagged training data. The correct solutions are supplied with the training data set and, after training, the computer should be able to provide the most accurate estimate of the correct answer in new situations. A classic use case is the prediction of real estate prices according to certain property characteristics.
The third learning approach alongside supervised vs. unsupervised learning is the hybrid form of reinforcement learning. Here, the child is rewarded with something sweet for making the right decision. Similarly, the computer tries to maximize a reward function by independently exploring the data set. It is therefore not presented with the correct answers, but it is also not completely left to its own devices. Science currently assumes that reinforcement learning is the path to general intelligence. Even if we are still a long way off, the creation of awareness is closer here than with any other method.
A graphical representation of the relationships is summarized below. Machine learning can be clearly understood as part of artificial intelligence, which uses various training methods (supervised, unsupervised and reinforcement learning) to train programs to successfully execute certain services.
Conclusion on machine learning and AI
What is artificial intelligence? First and foremost, it is an extremely active field of research that has been providing countless solutions for business and private users for over a decade. Powerful algorithms are used to make targeted predictions about the future and maximize profits. Machine learning, supervised vs. unsupervised learning and, for some years now, reinforcement learning have been used to achieve this.
Hardly anyone today can afford to ignore the artificial intelligence factor in their business. If you are also thinking about how you can use machine learning to expand your business, then take advantage of Novustat’s expertise! We look forward to hearing from you!