AI Solutions for Real-World Business
Presented by: Cosimo Fiorino - Head of Data Science
c.fiorini@ammagamma.com
The team of Ammagamma is various, composed not only by engineers, but also philosophers and designers.
Their vision is to develop a society aware of the potentialities, implications and impacts of technology.
As a mission, they offer the best choice instruments through the development of artificial intelligence innovative solutions.
They master cutting-edge technology to make company processes easier, curating the whole life cycle.
AI solutions implemented:
- Scheduling and optimized planning of production and organizational processes
- API for the forecast of future trends and historic series
- Data enrichment for the optimization of advanced analytics solutions
- Warehouse forecasting and replenishment for the predictive management of the warehouse
- Georouting API engine for the optimized planning of complex and bound scenarios
- Intelligent document processing platform enabling classification and extraction of the information
Shared Knowledge in the AI World
They develop educational projects in the intersection between the culture of data and humanistic thought, to lead people to the discovery of new growth frontiers.
Also, they devise new innovation paths that create a long-term value for the community and the territory.
We use numbers to transform chaotic systems into organized, intuitive and verifiable models
- Descriptive Algorithms: description of the variables that characterize a phenomenon to create its mathematical model (clustering, market basket analysis, BI systems)
- Predictive Algorithms: Information analysis to predict and control future behaviors of the phenomena (forecasting, regression, classification)
- Prescriptive ALgorithms: Development of prescriptive formulas to support and guide the process management (optimization, optimal control, next best action)
AI Projects Development
- Define the objectives and the context
- Feasibility analysis and solution design
- Proof od concept
- Pilot
- Deploy
- Scale up
- Post go-live and monitoring
What can go wrong?
DATA:
- Quality
- Null values
- Legal problems
- Security
- Dimension
COMPLEXITY AND BUSINESS CONSTRAINTS:
Constraints related to third parties in the business.
ADOPTION:
In the post deployment phase, the innovation department develop innovative solutions and then the department will not use it because they are skeptical.
Design Thinking
An approach to innovation that studies the adoption of a creative view to solve complex problems.
Make sure that when you build a model you will be able to reproduce it in the future and maintain it properly.
Data Ethic
Created: November 23, 2022 14:22:30