Machine Learning & Advanced Analytics
Unlock Business Growth with Machine Learning & Advanced Analytics.
InfoMagnus empowers organizations with machine learning to predict outcomes, automate processes, and gain insights.
Our services integrate predictive models into operations, driving innovation, optimizing decisions, and enhancing customer behavior understanding, process efficiency, and product offerings.
Our services integrate predictive models into operations, driving innovation, optimizing decisions, and enhancing customer behavior understanding, process efficiency, and product offerings.
Bringing Your Data to Life for Smarter, Faster Decisions.
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Power BI
Tableau
Qlik Sense
Looker
Domo
Google Data Studio
AWS Quick Sight
Predictive Modeling
Develop predictive models to forecast trends, behaviors, and outcomes using historical data, enabling strategic decision-making.
We utilize supervised and unsupervised learning algorithms, feature engineering, training, validation, and optimization for accuracy in demand forecasting, churn prediction, fraud detection, predictive maintenance, and risk assessment.
We utilize supervised and unsupervised learning algorithms, feature engineering, training, validation, and optimization for accuracy in demand forecasting, churn prediction, fraud detection, predictive maintenance, and risk assessment.
Model Deployment and Integration
Deploy machine learning models into production, ensuring seamless integration with existing systems and workflows for real-time automation.
Applications include recommendation systems for e-commerce, fraud detection in financial systems, and automating maintenance alerts for improved operational efficiency.
Applications include recommendation systems for e-commerce, fraud detection in financial systems, and automating maintenance alerts for improved operational efficiency.
Explore Our Machine Learning and Advanced Analytics Services.
Machine learning integration enables real-time predictions, automation, and improved performance across various industries.
ML Ideation Lab
The ML Ideation Lab is an educational workshop where businesses explore current machine learning trends, learn how these technologies are transforming industries, and collaborate in brainstorming exercises to identify predictive modeling use cases tailored to their organization.
Features and Benefits
Use Case Discovery: Identify high-impact ML opportunities tailored to your business challenges and data maturity.
Education First: Learn ML fundamentals, trends, and real-world applications in a clear, business-friendly format.
Cross-Industry Expertise: We bring proven ML experience across finance, healthcare, retail, logistics, and more.
Strategic Brainstorming: Collaborate with our experts to align ML use cases with ROI-focused outcomes.
No-Cost Engagement: Get expert guidance and ideation delivered in a complimentary, four-hour workshop.
Use Case Discovery: Identify high-impact ML opportunities tailored to your business challenges and data maturity.
Education First: Learn ML fundamentals, trends, and real-world applications in a clear, business-friendly format.
Cross-Industry Expertise: We bring proven ML experience across finance, healthcare, retail, logistics, and more.
Strategic Brainstorming: Collaborate with our experts to align ML use cases with ROI-focused outcomes.
No-Cost Engagement: Get expert guidance and ideation – delivered in a complimentary, four-hour workshop.
How it Works:
This four-hour workshop is divided into two parts.
First, InfoMagnus experts provide an introduction to machine learning trends, industry specific use cases, and how predictive models are being applied across different sectors.
Then, the session transitions into a brainstorming exercise where your team identifies key business challenges that can be solved using predictive models and ML solutions.
First, InfoMagnus experts provide an introduction to machine learning trends, industry specific use cases, and how predictive models are being applied across different sectors.
Then, the session transitions into a brainstorming exercise where your team identifies key business challenges that can be solved using predictive models and ML solutions.
Benefits to The Client:
Get educated on machine learning trends and technologies and start thinking about how predictive modeling can be applied to your organization.
Identify business challenges that could benefit from predictive analytics.
Identify business challenges that could benefit from predictive analytics.
Cost & Timeline:
Free. Conducted within 4 hours.
Machine Learning Accelerator
The Machine Learning Accelerator demonstrates how machine learning addresses challenges like customer behavior, risk, or forecasting.
This program rapidly delivers a proof of concept showcasing machine learning’s value in solving key business problems with historical data.
This program rapidly delivers a proof of concept showcasing machine learning’s value in solving key business problems with historical data.
Features and Benefits
Fast, Targeted Impact: Quickly validate predictive models that solve real business problems using your historical data.
Scalable ML Framework: PoCs are designed for future expansion laying the groundwork for production-ready machine learning solutions.
Fast, Targeted Impact: Quickly validate predictive models that solve real business problems using your historical data.
Scalable ML Framework: PoCs are designed for future expansion laying the groundwork for production-ready machine learning solutions.
How it Works:
Discovery & Data Prep: InfoMagnus collaborates with your team to identify a machine learning use case and gather the relevant historical data for model training.
Proof of Concept Build: Within 46 weeks, InfoMagnus will build and train a machine learning model that solves the selected use case, demonstrating how the model can be applied to real world business data.
Validation: The PoC provides insight into how the model performs, its potential ROI, and the future scalability of machine learning for your business.
Proof of Concept Build: Within 46 weeks, InfoMagnus will build and train a machine learning model that solves the selected use case, demonstrating how the model can be applied to real world business data.
Validation: The PoC provides insight into how the model performs, its potential ROI, and the future scalability of machine learning for your business.
Benefits to The Client:
Immediate Value: Quickly demonstrates the business value of applying machine learning models to solve complex problems.
Future Ready: Proves how data-driven decisions can improve business outcomes, from customer behavior prediction to demand forecasting.
Scalable: The PoC serves as a foundation for future machine learning initiatives, providing a starting point for further automation and refinement.
Future Ready: Proves how data-driven decisions can improve business outcomes, from customer behavior prediction to demand forecasting.
Scalable: The PoC serves as a foundation for future machine learning initiatives, providing a starting point for further automation and refinement.
Cost & Timeline:
$35,000. Delivered in 4-6 weeks.
ML Strategy Consulting
ML Strategy Consulting helps businesses develop a long-term plan for machine learning adoption.
This service includes defining use cases, selecting the right algorithms and technologies, and ensuring that your ML strategy is aligned with your business objectives.
This service includes defining use cases, selecting the right algorithms and technologies, and ensuring that your ML strategy is aligned with your business objectives.
Features and Benefits
Aligned to Business Goals: We craft ML strategies that support measurable outcomes like growth, automation, and cost savings.
Holistic Readiness Assessment: We evaluate data, tools, talent, and governance to determine your organization’s AI readiness.
Scalable Roadmaps: Our strategies are built to grow starting with pilot use cases and expanding across business units.
Platform-Agnostic Approach: Get unbiased advice across cloud, open-source, and commercial ML ecosystems.
Metrics-Driven Planning: We define success upfront with clear KPIs, timelines, and ROI projections.
Aligned to Business Goals: We craft ML strategies that support measurable outcomes like growth, automation, and cost savings.
Holistic Readiness Assessment: We evaluate data, tools, talent, and governance to determine your organization’s AI readiness.
Scalable Roadmaps: Our strategies are built to grow starting with pilot use cases and expanding across business units.
Platform-Agnostic Approach: Get unbiased advice across cloud, open-source, and commercial ML ecosystems.
Metrics-Driven Planning: We define success upfront with clear KPIs, timelines, and ROI projections.
How it Works:
InfoMagnus works with your leadership and technical teams to assess the current state of your data and identify opportunities for machine learning.
We evaluate the feasibility of different predictive modeling approaches and build a roadmap for ML adoption that includes data collection, training, testing, and deployment.
We evaluate the feasibility of different predictive modeling approaches and build a roadmap for ML adoption that includes data collection, training, testing, and deployment.
Benefits to The Client:
Get a clear strategy for integrating machine learning into your business operations.
This helps organizations leverage ML models to optimize processes, improve forecasting accuracy, and reduce manual effort.
This helps organizations leverage ML models to optimize processes, improve forecasting accuracy, and reduce manual effort.
Cost & Timeline:
$35,000. Delivered in 4-6 weeks.
Custom ML Solution Development
Custom ML Solution Development creates tailored machine learning models to solve specific business challenges.
Fully integrated with your systems, these solutions support predictive models for behavior, churn, forecasting, or advanced AI-powered decision-making, aligning with your unique goals.
Fully integrated with your systems, these solutions support predictive models for behavior, churn, forecasting, or advanced AI-powered decision-making, aligning with your unique goals.
Features and Benefits
Purpose-Built Models: We design and train ML solutions tailored to your data, objectives, and operational context.
Seamless System Integration: Our models plug directly into your workflows, enabling real-time insights and intelligent automation.
Purpose-Built Models: We design and train ML solutions tailored to your data, objectives, and operational context.
Seamless System Integration: Our models plug directly into your workflows, enabling real-time insights and intelligent automation.
How it Works:
Discovery and Scoping: Collaborate with your team to identify challenges, datasets, metrics, and desired outcomes for effective machine learning solutions.
Data Preparation & Feature Engineering: Clean, preprocess, and design data features to maximize machine learning model effectiveness and deliver actionable insights.
Model Selection & Customization: Choose or design algorithms like decision trees, neural networks, or gradient boosting, tailored to your data and problem complexity.
Model Training & Testing: Build, train, and optimize models using historical data, ensuring accurate, actionable predictions tailored to business use cases.
Integration & Deployment: Integrate validated models into existing systems, building APIs, embedding workflows, and creating real-time monitoring dashboards.
End-User Training: Provide training to ensure your team effectively uses and interprets machine learning models for data-driven decision-making.
Data Preparation & Feature Engineering: Clean, preprocess, and design data features to maximize machine learning model effectiveness and deliver actionable insights.
Model Selection & Customization: Choose or design algorithms like decision trees, neural networks, or gradient boosting, tailored to your data and problem complexity.
Model Training & Testing: Build, train, and optimize models using historical data, ensuring accurate, actionable predictions tailored to business use cases.
Integration & Deployment: Integrate validated models into existing systems, building APIs, embedding workflows, and creating real-time monitoring dashboards.
End-User Training: Provide training to ensure your team effectively uses and interprets machine learning models for data-driven decision-making.
Benefits to The Client:
Tailored Solutions: Get machine learning models designed specifically to address your business’s unique needs and challenges.
Maximized ROI: By focusing on your most critical business issues, we create solutions that directly impact your bottom line, from increasing revenue to reducing operational inefficiencies.
Seamless Integration: Ensure that your new machine learning models integrate effortlessly into your existing systems and workflows.
Informed Decision-Making: Empower decision-makers with advanced predictive insights, enabling better, faster, and more accurate business decisions.
Maximized ROI: By focusing on your most critical business issues, we create solutions that directly impact your bottom line, from increasing revenue to reducing operational inefficiencies.
Seamless Integration: Ensure that your new machine learning models integrate effortlessly into your existing systems and workflows.
Informed Decision-Making: Empower decision-makers with advanced predictive insights, enabling better, faster, and more accurate business decisions.
Cost & Timeline:
To be defined as a “Time & Material” engagement after the initial discovery: 12+ weeks.
ML Operations Management
Machine Learning Operations Management (MLOps) ensures your models' performance, scalability, and reliability post-deployment.
InfoMagnus provides continuous support, including monitoring, updates, retraining with new data, and maintaining secure, compliant integration into production environments for optimal long-term performance.
InfoMagnus provides continuous support, including monitoring, updates, retraining with new data, and maintaining secure, compliant integration into production environments for optimal long-term performance.
Features and Benefits
Model Performance Monitoring: We track drift, accuracy, and system health to keep your ML models reliable and effective.
Continuous Improvement: Our MLOps team retrains and updates models as data evolves ensuring long-term business value.
Model Performance Monitoring: We track drift, accuracy, and system health to keep your ML models reliable and effective.
Continuous Improvement: Our MLOps team retrains and updates models as data evolves ensuring long-term business value.
How it Works:
Monitoring & Performance Tracking: Continuously track performance metrics, detect model drift, and address degradation using automated tools across datasets.
Regular Model Retraining: Retrain models with updated data to maintain accuracy, relevance, and improve prediction precision over time.
Model Optimization & Tuning: Review hyper-parameters, data inputs, and structures, testing new methods to enhance model efficiency and accuracy.
Support & Troubleshooting: Provide ongoing support, error correction, API adjustments, and incident management for seamless model integration and operation.
Regular Model Retraining: Retrain models with updated data to maintain accuracy, relevance, and improve prediction precision over time.
Model Optimization & Tuning: Review hyper-parameters, data inputs, and structures, testing new methods to enhance model efficiency and accuracy.
Support & Troubleshooting: Provide ongoing support, error correction, API adjustments, and incident management for seamless model integration and operation.
Benefits to The Client:
Continuous Performance: Ensure that your machine learning models continue to deliver high accuracy and actionable insights as your data evolves.
Proactive Model Updates: Keep models relevant and accurate through regular retraining and optimization.
Reduced Risk: Maintain strict security and compliance, especially when dealing with sensitive data or industry-specific regulations.
Efficiency Gains: Eliminate internal resource strain by having a dedicated team managing the operational aspects of your ML models, ensuring they run smoothly and efficiently.
Adaptability: Be able to adapt to business changes quickly and easily with ongoing model updates, versioning, and governance.
Proactive Model Updates: Keep models relevant and accurate through regular retraining and optimization.
Reduced Risk: Maintain strict security and compliance, especially when dealing with sensitive data or industry-specific regulations.
Efficiency Gains: Eliminate internal resource strain by having a dedicated team managing the operational aspects of your ML models, ensuring they run smoothly and efficiently.
Adaptability: Be able to adapt to business changes quickly and easily with ongoing model updates, versioning, and governance.
Cost & Timeline:
To be defined as a “Time & Material” or "Fixed Cost" engagement. Continuous based on client needs.
Explore More Data and AI Options.
Start Your Machine Learning and Advanced Analytics Journey.
Ready to turn data into action?
Partner with InfoMagnus to predict trends, automate processes, and drive smarter decisions with machine learning.
Partner with InfoMagnus to predict trends, automate processes, and drive smarter decisions with machine learning.
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