Cloud AI/ML

Industry-Aligned Intelligence. Delivered with Precision

Each industry faces unique challenges requiring specialised solutions. Tailored offerings deliver targeted intelligence precisely aligned with specific industry needs and regulatory environments. Gain insight into how focused expertise provides practical, high-impact solutions for sector-specific transformation and growth.

Why Your Cloud Strategy Needs to Evolve Now

Cloud AI Powering Tomorrow’s Enterprises

USD 102.09 Bn
is the projected global Cloud AI market for upcoming years
67% of enterprises now have mature cloud strategies, yet only 8–10% have fully integrated AI, revealing a significant opportunity for structured AI deployment
65% of enterprise workloads are expected to run on cloud platforms with built-in AI capabilities by 2025 and beyond, reflecting a shift toward intelligent infrastructure
83% of enterprises consider cloud AI essential for maintaining competitive advantage, and 70% are already using or actively exploring it

As organisations accelerate digital transformation, cloud platforms with built-in AI are becoming the backbone of intelligent operations. Businesses are moving beyond experimentation, with many adopting mature cloud strategies. Yet, the gap between strategy and full AI integration reveals a significant opportunity; those who act now can lead the next wave of innovation and competitive advantage.

What MTSL Enables with Cloud AI/ML

Measurable Business Outcomes Through Intelligent Solutions

Operational Agility through Predictive Intelligence

AI-led demand forecasting, anomaly detection, and scenario simulations shortened planning cycles and improve business continuity.

Faster Decisions from Trusted, Secure Data Pipelines

MTSL builds data pipelines on AWS and Azure that ensure governed, compliant, and scalable access to clean data, accelerating insight delivery.

AI Models that Work in the Real World

Custom-built models (vision, NLP, GenAI) are fine-tuned for enterprise datasets, with explainability and traceability built-in, enabling adoption across leadership, ops, and compliance.

Visual Analytics Built for Business Leadership

Dashboards powered by AWS QuickSight, Qlik Sense, Power BI etc, or self-service BI platforms present KPIs, patterns, and forecasts in intuitive views, enabling quicker, more confident decisions.

AI/ML Capabilities Structured for Enterprise Scale

Structured Services Across Data,
Models, And Insights
End-to-end AI/ML capabilities are structured across three integrated domains, enabling a scalable, secure, and insight-rich foundation for enterprise AI/ML initiatives.
Data Engineering
Builds the foundational layer for any AI/ML use case by preparing data pipelines that are secure, governed, and scalable.
  • Data Management and Ingestion
  • Scalable Data Lakes and Big Data Processing
  • Governance, Access Control, and Compliance-Grade Security
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Data Visualisation & Reporting
Transforms complex analytics into business-ready insights using intuitive, interactive tools.
  • MIS and Enterprise Reporting Systems
  • Advanced Dashboards with Custom KPIs
  • Self-Service BI Tools (Qlik, AWS QuickSight, etc.)
AI/ML Solutions
Applies machine learning to drive decisions, predictions, and content generation tailored to enterprise challenges.
  • Descriptive and Diagnostic Analytics
  • Predictive Models using Classical and Deep Learning
  • Generative AI & Natural Language Processing (NLP) Solutions

From Data to Deployment – A Strategic ML Journey

Structured Approach from Initial Problem to Deployment

End-to-end AI/ML capabilities are structured across three integrated domains, enabling a scalable, secure, and insight-rich foundation for enterprise AI/ML initiatives.

Over 60% of time in ML projects goes into clean data engineering, get it right the first time

Define Business Objective 

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Aggregate &
Clean Data

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Build Feature Sets

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Train & Optimise Models

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Evaluate Against KPIs

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Operationalise with MLOps

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Monitor, Update,
Re-Train

Ready-to-Deploy Accelerators for Faster Impact

Proven Building Blocks that cut Build Time

GenAI Accelerator

Deploy secure enterprise chat interfaces, auto-summarisation, and intelligent content systems in <30 days.

Lending in a Box

Speed up credit decisions with ready-to-use credit scoring engines, pre-mapped to financial KPIs.

Media Spend Optimiser

Uncover ROI gaps in campaign data using ML attribution models, reduce cost-per-acquisition by up to 18%.

Redshift Modernisation Pack

Migrate legacy data warehouses with AWS-native toolkits, reduction in data refresh time by 45%.

SageMaker in a Box

A fully templated pipeline with pre-integrated versioning, training, and deployment layers, live in under 3 weeks.

Enterprise-Grade Technology Stack

Platform-agnostic Tools for Robust Solutions

AWS Azure Hadoop Spark Python React Qlik Amazon QuickSight

Case Studies

Converging transformation and growth to integrate innovation

Insights

Stay ahead with expert insights and innovative ideas