At AIA Science, we believe in working in close collaboration with clients focusing on the actual problem behind the project and what insight can be extracted from both internal and external data to drive better business solutions.
We collaborate with market leading and innovative vertical experts who are set to exploit new technologies and methods to rethink their business field. Here is a selection of our current cases where AIA Managed Machine Learning is used:
The energy market in Europe is dramatically changing due to constantly decreasing price of renewable energy. There are many activities with high energy consumption in today’s agriculture. This leads to both high energy costs and high levels of greenhouse gas emissions. Therefore, farmers have several incentives to change their energy consumption to lower their costs and become more sustainable.
AIA Science is working with partners and pilot-customers to create a solution for planning and activity optimization on farms to reduce energy cost. Predictive algorithms find the cheapest available source of energy and optimize the farmers activity schedule on the farm. Real-time analytics can ensure that the cheapest source of energy is used at all times.
Farmers can save large parts of their energy cost using this solution. This brings value not only to the farmers, but also to the energy providers and our society as a whole. By utilizing the full potential of renewable energy sources on farms, our society is moving towards a more sustainable and better future.
Traditional law firms feel a real margin squeeze due to increased competition and competitors applying new technologies to speed up contract handling, revision and production. Manual ways of reading and writing contracts are too costly and error prone and do not exploit the current advances in technology and AI type models.
AIA Science is currently working with partners and law firms to develop new tools for efficient legal contract review and contract production. Instead of reading every new contract from top to bottom, machine learning algorithms are used to detect contract anomalies and potential risks that require human attention and approval. Through the interaction with this system over time, the system is adapting and learning to separate important passages from less important ones.
By utilizing our solution, we estimate that 20-40% of the time spent is saved already when starting to use the software. With more experience, about 90% of the contract revision time can be saved for contracts that are quite aligned with the standard. This can lead to higher margins, faster handling times and increased market penetration through better pricing.
The road transportation of certain goods is time critical, such as the timely delivery of fresh fish from norwegian fisheries to international markets, within a guaranteed time frame. Failing to deliver on time can lead to huge losses, and a critical element is the transportation by trucks from the fisheries to the international airport, especially during winter.
AIA Science is developing new solutions for constantly monitoring and analysing the state of transportation routes, so that transportation times can be predicted, road management can be optimized and the causes behind delays can be understood, detected and prevented. We use machine learning algorithms for analysing video streams and IoT sensor streams as a basis for predicting and driving decisions for the transportation companies.
Through continuous machine-based monitoring and machine learning algorithms, the fisheries, transportation companies and road authorities get an optimal solution for ensuring timely delivery of goods and ensuring early prevention of problems that can cause important losses. For the transportation companies, this reduces risk and cost while ensuring that the fishing can be planned just in time an optimal high-quality delivery to the market.
Traffic Counting Solution
Norwegian municipalities are seeking more economically sound ways of measuring the real effect of their initiatives and changes with respect to road traffic, type and time.
AIA has developed machine learning solutions using video analytics for counting vehicles, people and other objects that pass through a given area. This is a very cost-efficient solution that can be trained on extracting customer-specific features, such as the type of vehicle or whether the person is walking or on a bike. AIA has also a network of IoT partners that can deliver RFID/NFC solutions or other types of sensors for detecting moving objects or people.
AIAs solutions can run on low-cost commodity machines and cameras without the need for specialized custom hardware or more expensive cameras. This dramatically cuts the cost by 70-90+ percent of setting up a traffic counter, allowing also the deployment of measurements in more places and much better and redundant input for analysis.
Social Media Trend Analysis
Many consumer companies are not aware about how, by segment, their consumers react to different social media postings.
AIA Science set up an algorithm to analyse social media postings, matching with name analysis, to determine patterns, future predictability, and breakdown by sex and age group.
Clients get a better understanding of how different age groups react to social media postings. Clients can then target their social media campaigns and activities far better. If linked to actual sales data, they will be able to measure the social media impact on revenue as well.
AIA Managed Machine Learning
Does your business struggle with taking Artificial Intelligence solutions from idea stage into production? If so, AIA Managed Machine Learning is a perfect match for your needs.