Put AI to Work

Artificial intelligence continues to scale within all industries and businesses. Machine learning and AI will profoundly shape every market. Competitors to your business are already using AI today.

To be successful, you need AI built for business.

Accuras AI Accelerator is powered by IBM Cloud Pak for Data as a Service, an open, extensible data and AI solution that runs on any Cloud.

Whether you’re facing challenges in infrastructure, data or skills gaps, or just want to get data science projects up and running quickly, IBM Cloud Pak for Data as a Service empowers users at all technical levels to easily tap into the power of trustworthy AI, no matter where data resides.

Accuras’ Journey to AI Methodology

Transformative practices

Ideate, build, measure, iterate and scale solutions seamlessly leveraging Design Thinking, Agile and DevOps practices.

Empowered teams

Achieve speed-to-value, new capabilities and meaningful culture change through the partnership created with your team and a diverse set of Data Science experts in business, design and technology.

Technology that accelerates

Adopt breakthrough technologies quickly with the benefit of hardened patterns, industry innovations and our multidisciplinary expertise.

Want to bring your AI projects to life successfully

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AI Readiness Assessment (90 min)

Step 1 – Ideation Workshop (1/2 day)

Key Activities
  • Discovery of 5-8 Use cases
  • Alignment on what critical needs are
  • Analysis of the most actionable use case which could bring the most valuable business results the fastest
  • Prioritize next steps towards a viable solution
Session Outcomes
  • Presentation of key findings
  • Recommendations that provide a high-level roadmap

Step 2 – Discovery & Design (3 weeks)

Key Activities
  • Data Exploration
  • Define Functional and Non-Functional Requirements
  • Requirement Rationalization
  • Data Readiness / Availability Check
  • Data Source Integration feasibility
  • Data acquisition and access strategy
  • Data architecture and design
  • Data Integration Design
Key Deliverables
  • Selected Use Case(s) Delivery Plan
  • Data Integration strategy
  • Business Requirement Document

Step 3 – Delivery – 1 selected use case (10 weeks)

Key Activities
  • Statistical/ Machine Learning/ Optimization model conceptualization from business use case
  • Data Preprocessing
  • Model exploration and comparative analysis
  • Model selection and tuning of parameters and hyper-parameters
  • Model back-tests/ accuracy measurements (for predictive models) and benefit analysis (for optimization)
  • Model iterative refinements
  • Solution process chain development
  • Models input data and parameters interface implementation
  • Implement required access control
  • User Acceptance Test support
  • Solution Process chain productionization
  • User Training on Solution
Key Deliverables
  • Implemented and Productionized Solution
  • User / Operational Manual
  • Sprint Demos and Status Reports

Use Cases

Predictive Maintenance

Remotely monitor real-time health of the various systems in the plant to diagnose the problem of the equipment in bad conditions or those operating at off-limit parameters, identify the root cause, and provide recommendations.

Claim Processing & Fraud Detection

Use deep learning, automation, and predictive analytics to reduce claim processing time and cost, and fight against fraud.

Efficient Production Planning

Provide Machine Learning (ML) based recommendation on optimal manufacturing sequence on the production line in the form of a weekly production plan to reduce costs and improve time to market.

Inventory Optimization

Recommend optimal spares stocking thru Predictive Modelling minimizing the risk of stock-outs, balancing inventory holding costs.

Products Pricing Optimization

Develop a data-driven pricing strategy that quickly adapts to changing business scenarios to identify the “right” price points for each product to achieve higher margins without having an adverse impact on revenue.

Demand Forecasting

Forecast product demand based on the market, customers, economies and optimize overall profit/ other metrics and each unit’s production, consumption, and inventories.

Want to bring your AI projects to life successfully

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About Accuras

Accuras is a technology value-added reseller and consulting company with its headquarters in Toronto, Canada, and an operational office in New Jersey, USA. We partner with trusted, industry-leading technology solution providers to empower organizations to lay the foundation for DevOps Automation, Digital Transformation, AI Operationalization, Cyber Resiliency and Sustainability & ESG Reporting.

We solve complex business problems through an interdisciplinary approach, combining domain knowledge, technical expertise, and zero-tolerance customer satisfaction to deliver solutions on time and within budget with 100% accuracy.

We provide expertise and services in five domains.

  • Data Fabric and Data Governance
  • Artificial Intelligence, Machine-learning, Predictive Analytics and Optimization
  • Data, Application and Resource Observability
  • Cybersecurity and Cyber Resilience
  • Sustainability & ESG Reporting

Schedule a meeting to discuss your business needs

Our Offices

ACCURAS INC – CANADA

382 Maple Leaf Drive TORONTO,
ON M6L 1P6 CANADA
Phone: 1-647-878-8463
Email: [email protected]

Accuras LLC – USA

120 Old Camplain Road
Hillsborough, NJ 08844
Phone: 1-647-878-8463
Email: [email protected]

© 2022 Accuras.