Make your company fit for the future with artificial intelligence
Artificial intelligence uses machine learning to categorize data, make it usable and learn from it. What factors are responsible for the fact that trains are often late? Why do so many people in one region fall ill at the same time, while this is not the case in the neighboring state? What regularities occur and how can we learn from them?
Show moreArtificial intelligence evaluates data and makes predictions. While classic software processes problems on the basis of predefined rules, machine learning can learn the best rules for solving certain tasks itself and design algorithms from them.
With the help of artificial intelligence and data analytics, you can make forecasts today for tomorrow’s market. People are now used to companies responding to changing situations at lightning speed with offers tailored to their needs. With AI, you are prepared.
AI gets to know your customers intimately and can therefore estimate how they will behave. With this information, you can address your customer personally and on an occasion-specific basis.
AI signals when the customer behaves differently than expected. This is important in the case of fraud, here you can react at lightning speed and prevent fraud before it has any further impact on the system.
An AI algorithm can learn from the experience of your employees by comparing the actions of your employees with the mass data underlying the employee decisions. There is no need to create costly rules by hand that are then only valid for a limited time. As the world changes, so do the process environment, the AI algorithm adapts with it.
New, increasingly challenging areas of application for artificial intelligence are being added almost daily. US technology companies such as Microsoft, Google, and Amazon are investing large sums in the further development of AI and machine learning, making the technology increasingly relevant for European and German companies.
At which point can AI make more decisions itself? Together, we consider where AI will help you the most and how this will change the processes in your company. Together with your team, we create the organizational conditions for the introduction of AI in your company and actively involve your employees in the change with comprehensive change management. An AI introduction is, at least perceived, always a big change for all people in the company.
Consileon supports you in identifying, implementing and operating AI solutions in your company. In doing so, we take existing systems and your company’s situation into account.
CAI-LOTSE: Use case identification and prioritization
CAI-Explorer: Proof of concepts construction
CAI-Builder: Further development of proof of concepts into integrated productive applications
CAI-Instructor: Trainings and management seminars
CAI-Accelerator: Change Management
In a rapidly developing digital world, companies are faced with the challenge of making their work processes more efficient and productive. One technology that is becoming increasingly important in this context is Robotic Process Automation (RPA). We take a closer look at RPA, its applications, benefits and potential impact on the world of work.
AI-based chatbots are revolutionising the financial sector with fast, personalised customer interactions and automated advice. They provide valuable data and relieve the burden on staff. Consileon offers a flexible chatbot solution, MyPersonalGPT, for financial service providers.
Use your data and expertise to create your own specialist and company-specific chatbot. With MyPersonalGPT you benefit from higher productivity and customer satisfaction as well as improved collaboration.
Finding out whether artificial intelligence will be able to support project managers in their day-to-day business in the future – this was the question Consileon Principal Rüdiger Lang addressed with colleagues and scientists from the “Agile Management 4.0” group of the GPM (German Association for Project Management).
Like other IT systems, AI applications are subject to the regulations of the European Banking Authority (EBA) and BaFin, including MaRisk and BAIT.
Experts from Consileon help Deutsche Bahn predict delays in passenger traffic. From mass data (Big Data), a machine learning algorithm calculates expected arrival and departure times for long-distance and local trains. The times are communicated to all customer channels (including www.bahn.de, DB Navigator, station displays).
We show you how to use and implement AI in your company correctly.
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