Using AI to improve business processes
Artificial intelligence (AI) technologies, an umbrella term that includes multiple technologies such as Machine
Learning (ML) and Natural Language Processing (NLP), are being increasingly deployed across consumer, enterprise, and
government markets around the world.
AI/ML-NLP is driving greater product variety and enhancement with increased personalization, attractiveness and
affordability, which in turn is stimulating consumer demand.
For many current business owners, not leveraging these opportunities means risking being
leapfrogged by emerging counterpart businesses.
The quickest way to leverage AI is to initially outsource the process. In addition to cost savings,
expert third party experience is leveraged as to how to proceed in terms of what AI models to use,
which tools to choose and the optimal implementation mode.
Business process improvements
Predict future demand, reduce product returns and recommend products with Machine Learning.
Summarize & classify text, extract entities and analyze text in terms of sentiment with NLP.
Custom AI software
Standard software development plus seamless embedded AI (ML / NLP) modules.
Web, mobile and client-server, Python, NLTK, C#/Vb.net,
SQL, SQLite, Progress, Windows Azure.
Consultancy / Strategy
Solve your technology related business problems and pain points.
Define your enterprise level AI strategy.
Business Process improvements through Data and Text Analytics
Data and Text Analytics services (ML / NLP) are provided based on a structured process as follows:
• Assessment of current processes, technology and solution stacks
• Research of industry experience specific to your business
• Qualifying, evaluating and selecting an optimal ML Model
• Pre-processing of your data
• Agreeing on expected results and specifying how they will create value for your business
• Deployment of the Fortuit AI Engine with results available through its Web/Mobile Interface
Custom AI Software Development Projects
Development is based on a structured methodology with specific deliverables and strict adherence to schedule.
Deliverables include the following documents and processes:
• Feasibility Study
• System Analysis Document
• Design Document
• Prototype Software
• Testing, Implementation
• Maintenance and Support
Consultancy / Strategy: AI Product Development Strategy
Deliverables include a strategy document structured as a potential implementation AI road map
which starts with a general assessment of AI
and then deep dives into the following:
• overall feasibility and risk
• pros and cons of the various AI approaches
• potential cost overview
• mobile delivery modes
• available commercial AI API's
• open source AI libraries
• bottom up AI development