ML&AI Services

ML & AI Services

Big Data Development for Your Company

We provide AI-as-a-service: you get actionable business insights out of your data based on specific ML pipelines designed to achieve your goals.

Big Data Consulting

We review your business processes vs business goals set and offer the best way to digitize it. As a big data development service provider, we’ll make it data-driven and transparent in terms of decision-making. We’ll provide project assessment, design, implementation, testing, deployment, and support on-demand

Data Infrastructure & Engineering

We’ll collect, clean and structure your data for analysis and visualisation. We’ll design a data pipeline with real-time data streaming, batch data streaming or lambda architecture, build data lakes and warehouses. Big data implementation services include data warehouse architecture consulting and development, implementation, advancement or migration

Data Analytics

We’ll arrange data lakes and warehouses for effective data storage, retrieval, and insights mining. We get raw data coming from businesses’ various sources. Considering business’s specifics, we clean and analyze data, and yet find new ways of using it to enhance the business’ value.

Data Visualization

We visualise insights mined, so it’s easy-to-understand for the business’ owner. We agree on reports and dashboards, and develop a system to
generate them based on data from data lakes and warehouses. Data visualisation is insightful and valuable for reshaping business strategy and
improving its competitiveness on the market.

Artificial Intelligence

Based on the data, we build custom AI models that simplify decision-making. Outsourcing big data analysis to artificial intelligence, you prevent human error, improve business efficiency and cut costs.

Use Cases

Smart Maintenance

Predictive Maintenance: Predict equipment failiure using BITE data, possible resolution with RCA analysis

Operational sequence predictions: Test chapter predictions/prioritization

Data remediation

Supply Chain

Product ready Prediction

Material Forecasting

Sales forecasting

AI powered E2E simulation

Real time OM KPIs

AI powered Machine Loading Plan

Anomaly Detection

Real Time performance monitoring & anomaly detections
Congestion predictions
Solve Road transport current traffic abnormality problems.
Drnamic baseline modelling with the ingestion of seasonality factors

Telecom

Network Management : Alarm prioritization, Root issue analysis, RAN Equipment failure prediction
Proactive Marketing : ML-based Traffic Categorization
Customer experience analysis : Subscriber 360 user experience, Device and subscriber analytics
Churn prediction

Proactive Operations

Proactive operation : Truck roll , Ticket, call Prediction and reduction
Churn Prediction
NPS analysis
Service assurance

Digital Security

Dynamic behavioral analysis: Data geometry algorithms to identify normal and outlier behavioral groups
Real-time anomaly detections
Fraud analytics

How will it work?

Make these possible!

Real time analytics

Faster & Cheaper analytic infra

Process huge Volume Velocity and Variety of data on the fly!

Edge analytics – A must in current analytics environment

Equipment testing 50% reduction

Repair vs No Repair prediction  50+%, improve efficiency

Reduce 30-40% NFF

30+% incidents can be predicted 12 hours ahead

50% improvement in production ready date prediction

Our Cloud Expertise

AWS Data & Analytics

Build, secure, and seamlessly scale your cloud service solutions within a diverse AWS ecosystem. Benefit from the broadest portfolio of purpose-built analytics services, scalable data lakes, and warehouses. Adjust to evolving data needs with our AWS cloud-based services.

AWS Machine Learning & AI

Generate insights via a comprehensive suite of smart tools. Enhance your customer experience, optimize business processes, or identify new revenue streams with our AWS ML expertise. Our AI engineers deploy an intelligent architecture tailored to your business and infrastructure needs.

AWS Serverless

Adapt faster to changes and market shifts with elastic file storage based on AWS Serverless infrastructure. Scale with real-time demand, lower your data processing costs and let the cloud do the heavy lifting. Go beyond traditional computing to innovate faster, smarter, and with fewer resources.

AWS IoT

Connect your devices, tools, and applications into a unified distributed infrastructure for your IoT project. Process, secure, and act upon ample data from remotely connected devices and sensors. Establish a robust security posture across the whole IoT ecosystem and unlock uninterrupted information flows.

Business Intelligence & Data Visualizations

Uncover hidden patterns, enable data discovery, and communicate insights to decision-makers with custom dashboards and interactive reporting. Leverage visualization tools like Power BI, Tableau, and Qlik Sense to transform raw data into actionable guidelines.

Azure Data & Analytics

Leverage enterprise-grade solutions for data warehousing, advanced analytics, and real-time streaming. Make your data management cost-effective and compliance-ready. Let our experts help you make the most of Azure clouds services and its unmatched capabilities for Big data analysis.

Your Benefit from It

Engagement Process

Business problem understanding

Use case and data definition

Success criteria definition

Data transfer complete

Data understanding Complete.

Data processing and data profiling

Exploratory data analysis

Feature Engineering

Model Building

Model tuning

ROI analysis

Results presentation

Align with stakeholders on business objectives

Document ‘as-is’ and expected ‘to-be’

Document business and technical use case

Detail data requirements

Define success criteria

Ensure technical, commercial, operational feasibility

Use case and success criteria discussion

Ensure availability of required data. Minimum 2 months of ‘good’ data needs to be available

Work with SMEs to understand data

Resolve all the data issues and ascertain feasibility of the use case

Develop data catalogue

Develop a project plan

SOW discussion and sign-off

Prepare data for analysis

Profile data, identify data trends and issues

Correlations and multi-collinearity analysis

Ensure sample stability

EDA results presentation

EDA feedback incorporation

Feature extraction

Identify key features

Work with SMEs to qualify features for modeling

Model building

Identify best-fit model

First-cut model discussions

Model tuning, incorporate model feedback, iterate working with SME

Finalize model

Build ROI or TCO models, operationalization model (PMO- FMO)

Final presentation Integration in customer environment