ARTIFICIAL INTELLIGENCE
In the business world, Artificial Intelligence (AI) is an emerging reality. Its adoption is tightly linked to business maturity. AI is commonly defined as the area of computer science that emphasizes the creation of intelligent machines that work and react like humans.
ARTIFICIAL INTELLIGENCE
In the business world, Artificial Intelligence (Ai) is an emerging reality. Its adoption is tightly linked to business maturity.
AI is commonly defined as the area of computer science that emphasizes the creation of intelligent machines that work and react like humans.
Deep Learning
The subset of machine learning composed of algorithms that permit software to train itself to perform tasks, like speech and image recognition, by exposing multilayered neural networks to vast amounts of data.
Machine Learning
A subset of AI that includes abstruse statistical techniques that enable machines to improve at taste with experience. The category includes deep learning.
Artificial Intelligence
Any technique that enables computers to mimic human intelligence, using logic, if-then rules, decision trees, and machine learning (including deep learning)
Service Offerings
Through its collaborative approach, PBT can offer AI solutions.
AI engagements call for fluid techniques & methodologies, strong infrastructure, and a wide range of expert knowledge encompassing:
- Systems sciences
- Computer sciences
- Mathematics, biology, physics
- Social sciences
- Cognitive sciences such as psychology, linguistics, ethics, and neuro sciences
Our Approach
Exploration
Data Ingestion Feature Engineering Model Building
Model Deployment
Dashboards and Insights
Model Maintenance
ROI Consulting Services
High Level Engagement
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> Ingest |
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> Transform |
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> Model |
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> Deploy |
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Skills
- Computer technology
- Domain expert
- Communication and visualization skills
- Computer sciences
- Coding & Programming languages
- Graphic modeling
- Data intuition
- Statistics
- Mathematics
- Data wrangling
- Machine Learning
- Software engineering
- Multivariate calculus & Linear algebra
Techniques
- Path & Pattern Recognition
- Natural Languages
- Machine Learning
- Computer Vision
- Speech Recognition
- Robotic Process Automation
- Recommendation Engine
- Descriptive, Root-Cause, and Predictive Analysis
- Data science automation
- Data quality
- Turning unstructured data into structured data, and data standardization
- Blending multiple predictive models together
TECHNOLOGY
