30.05.2022
post
“New” Marketing platform from SAP …
When taking Emarsys into our offering portfolio, we wanted to understand its differences to other platforms. This blog will start series of such…
Read more 
Artificial Intelligence and Machine Learning
#ai #machinelearning #customeranalytics #iotanalytics #predictiveanalytics
Most companies would like to take advantage of artificial intelligence, but face typical challenges such as:
- How to identify a business problem that AI would help solve?
- Is there enough high-quality data available?
- What type of AI solution would be most appropriate for each purpose, e.g. turnkey solutions vs. custom development?
- What kind of skills and training are needed?
- How is the implementation of an artificial intelligence solution done?
Many businesses start without previous experience, attempting to implement solutions with different POC projects. According to research, only 10-15% of these succeed in their goals.
We have implemented 50+ artificial intelligence projects and learned so much along the way that we get almost all started projects to production. How?
Implementing a successful artificial intelligence project
When implementing AI/ML projects, we use the following framework.
- Defining the business problem
- Defining the AI solution
- Data validation
- Preliminary design of the production environment
- Data preparation
- Implementation of the solution
- Evaluation of the solution
- Building the production environment
- Switching to production
- Maintenance, monitoring and development
A systematic approach reduces unnecessary and costly iterations within the project and minimizes unnecessary AI-POC time and money wasted on projects. The business benefits of artificial intelligence are realized faster and at lower cost.
Our customers in this area include VTV, MetsäWood, Altia, Reima, Kone, Lantmännen Feed and YIT.
How to proceed?
Typically, projects start with workshops and interviews led by Bilot in order to ensure that the artificial intelligence solution is valid in all respects.
These workshops are available without any commitment to follow-up projects. We have held about 100 workshops, so we have a wealth of experience in different businesses and situations.
After the workshops we move to project mode, according to the phases of the previous framework.
If decided together, we will apply our own AI-jack to the project. It speeds up implementation considerably and reduces errors because almost all the necessary code is already in place.
The AI-jack has also been released as an open-source version, i.e. it does not create a supplier lock. Maybe it says something about our skills and attitude that we have developed this solution for everyone to use.
Get in touch and let’s talk AI.
Related cases
Related articles
24.04.2020
post
Bilot releases Beta version of AI-JACK for R, an …
Bilot Plc (Helsinki, Finland) is today releasing the Beta version of its AI accelerator AI-JACK for R on GitHub. AI-JACK is a…
Read more
24.04.2020
post
AI-JACK – what is it and how it can help you?
At Bilot, we keep focusing on making our business processes smoother, faster and more reliable. This includes everything from marketing side to technical, programming work.
Read more
