AI-Powered Business Intelligence Services
It combines artificial intelligence with traditional business intelligence to extract deeper insights from data, enabling faster, more accurate, and data-driven decision-making. We provide the foundation for AI-powered business intelligence by preparing data, building AI models, and deploying them for predictive, prescriptive, and automated solutions.
.webp)
Data Preparation and Exploration
- AI algorithms automatically identify and correct data inconsistencies, errors, and missing values.
- AI generates new features from existing data, uncovering hidden patterns and relationships.
- AI suggests optimal visualizations based on data characteristics, making insights accessible.
Advanced Analytics
- AI algorithms forecast future trends, customer behavior, and business performance.
- AI recommends optimal actions based on predicted outcomes, optimizing business operations.
- AI identifies unusual patterns in data to detect fraud, equipment failures, or market anomalies.
Insight Generation and Communication
- AI transforms complex data into human-readable narratives, making insights understandable.
- AI makes customized reports based on user preferences and business needs.
- AI enhances dashboard capabilities to explore data dynamically and uncover new insights.
Essence
Usage
Effect
.svg)
Enhanced Decision Making
Predictive analytics: forecast future trends and outcomes based on historical data.
Prescriptive analytics: recommend specific actions based on predicted outcomes.
Faster insights: automate data analysis, providing quicker access to actionable insights.
.svg)
Improved Efficiency
Automated data preparation: handles data cleaning, transformation, and integration.
Self-service analytics: explore data independently, freeing up data scientists for more complex tasks.
Scalability: use massive datasets and complex analyses, growing with the business.
.svg)
Deeper Insights
Pattern recognition: identify hidden patterns and relationships in data that humans might miss.
Anomaly detection: AI flags unusual data points, indicating potential issues or opportunities.
Root cause analysis: uncover the underlying reasons for business performance.
.svg)
Competitive Advantage
Innovation: AI-driven insights lead to new products, services, or business models.
Customer understanding: deeper insights into customer behavior, preferences, and needs.
Risk management: discover potential risks and develop mitigation strategies.
.svg)
Experienced engineers handle data cleaning, ensuring accurate and reliable results. They build efficient and scalable data pipelines to support AI workloads.
.svg)
Experts clean up messy data, ensuring your AI gets the best possible information. They also build efficient pipelines to keep the data flowing smoothly.
.svg)
You won't be stuck with a system that can't handle growth. DATAFOREST designs systems that grow as your AI needs to grow, and they adjust things if change is needed.
.svg)
You can avoid the cost of hiring a whole new team. Plus, we’ll help you find cost-effective ways to store your data, whether in the cloud or on your own servers.
.svg)
Our data engineers bring the knowledge your team might be missing. They'll also introduce you to the latest and greatest data tools and techniques.
.svg)
Working with us lowers the chances of your project going sideways. We have proven methods for getting things done right and take data security seriously.
.svg)
Is your data buried in a black hole?
Let AI bring it to light. Your business will become clearer.
Example 1 of 3
Example 2 of 3
Example 3 of 3
Emotion Tracker
For a banking institute, we implemented an advanced AI-driven system using machine learning and facial recognition to track customer emotions during interactions with bank managers. Cameras analyze real-time emotions (positive, negative, neutral) and conversation flow, providing insights into customer satisfaction and employee performance. This enables the Client to optimize operations, reduce inefficiencies, and cut costs while improving service quality.
They delivered a successful AI model that integrated well into the overall solution and exceeded expectations for accuracy.
Client Identification
The client wanted to provide the highest quality service to its customers. To achieve this, they needed to find the best way to collect information about customer preferences and build an optimal tracking system for customer behavior. To solve this challenge, we built a recommendation and customer behavior tracking system using advanced analytics, Face Recognition, Computer Vision, and AI technologies. This system helped the club staff to build customer loyalty and create a top-notch experience for their customers.
The team has met all requirements. DATAFOREST produces high-quality deliverables on time and at excellent value.
Entity Recognition
The online marketplace for cars wanted to improve search for users by adding full-text and voice search, as well as advanced search with specific options. We built a system application using Machine Learning and NLP methods to process text queries, and the Google Cloud Speech API to process audio queries. This helped greatly improve the user experience by providing a more intuitive and efficient search option for them.
Technically proficient and solution-oriented.
Employee Tracker
The large Retail company was facing a significant challenge in managing and tracking our employees' working hours and needed a solution that would automate the process and ensure accuracy. We developed a system for counting employees' working hours. Employees simply approach the device upon arrival and the system automatically identifies them and records their check-in time.
DATAFOREST has an excellent workflow and provide constant and close communication. The team brings in a range of technical talent to address issues as they arise.
Data Infrastructure Technologies We Use
Pandas
SciPy
TensorFlow
Numpy
ADTK
DBscan
G. AutoML
Keras
MLFlow
Natural L. AI
NLTK
OpenCV
Pillow
PyOD
PyTorch
FB Prophet
SageMaker
Scikit-learn
SpaCy
XGBoost
YOLO
Related articles
All publications.webp)
.webp)
November 19, 2024
14 min
Outsource Data Science Services: Complement In-House Capabilities
.webp)
November 20, 2024
14 min
AI in Food and Beverage: Personalized Dining Experiences
.webp)
September 26, 2024
12 min
Clear Project Requirements: How to Elicit and Transfer to a Dev Team
Let’s discuss your project
Share the project details – like scope, mockups, or business challenges.
We will carefully check and get back to you with the next steps.
