NAlliancetech helped Ashapura to move on cloud and improved their overall ROI by 40%

As businesses look for highly accessible technology solutions to enable their executives access applications and data anytime anywhere, cloud computing and cloud-enabled solutions are looked at as the most viable options. However, cloud migration of the existing IT application poses a business challenge. Cloud Migration solutions and services on the anvil enable businesses to turnaround their applications to cloud within a couple of weeks and jump-start their business as usual activity over the cloud.

N Alliancetech’ advanced cloud solutions help organizations transform their digital landscape to become more agile and scalable. N Alliancetech leverages cloud computing to provision a diverse range of IT resources in order to meet the client’s evolving business needs. N Alliancetech’ cloud managed services act as an extended arm for businesses and manage their resources on the cloud in an efficient manner.

Using these solutions organizations can reduce their capital expenses to a significant extent through optimized resource management and capacity planning. N Alliancetech’ integrated cloud solutions help businesses to build applications without affecting the corresponding hardware installations and proactively manage existing resources.



Cloud Consulting & Cloud Migration

  • Cloud assessment and strategy
  • Cloud adoption strategy, TCO insights
  • Consulting for Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS), and Business Process as a Service (BPaaS) roadmap
  • Planning and design
  • Multi-cloud strategy planning and management
  • Cloud migration services
  • Native cloud services implementation
  • Integration, optimization, deployment
  • Configuration management automation
  • Spend Optimization and Security Compliance Frameworks


Cloud Consolidation

  • Re-hosting
  • Re-platforming
  • Re-purchasing
  • Re-factoring
  • Retire
  • Retain


Cloud Application Test & Implementation

  • Application performance testing
  • Manual and automated application testing
  • Performance and data migration and testing
  • Distributed cloud application management
  • Process integration and testing
  • Quality assurance process


Support IaaS, PaaS & SaaS

  • Configuration management
  • Application security management
  • Cloud administration
  • Service improvements
  • Cloud monitoring & analytics
  • Value-added services


Cloud Managed Services

  • Cloud monitoring and reporting
  • Cost monitoring and optimization
  • Application lifecycle management
  • Alert management
  • Provisioning & Orchestration
  • IT resilience
  • Identity management & security monitoring
  • Spend optimization
  • Discovery
  • 24×7 Platform / Application Support & Troubleshooting
  • 24×7 L2 and L3 support
  • Continuous cloud service optimization – Performance & Scalability
  • Cloud backup and recovery
  • Asset management
  • Automation
  • Dashboard & reporting
  • Service management


Support IaaS, PaaS & SaaS

  • DevOps Consulting
  • Implementation
  • CI / CD Pipeline
  • Containerization
  • Infrastructure as a Code


Cloud Security

  • Cloud Security Services
  • Cloud security architecture
  • Cloud on-boarding assistance
  • Cloud security implementation (CCSM)
  • Cloud security audit
  • Cloud adoption for FinTech


Cyber Security, vCISO Services

  • vCISO Services
  • Cyber Security Model Implementation
  • FinTech Platform Security Design
  • Security Posture Audit
  • Security Architecture Review


Vulnerability Assessment, Trainings

  • Application Vulnerability Assessments
  • Network Security Testing
  • Security Trainings
  • User Awareness Trainings


Implement Standards, Frameworks

  • ISO 27001, PCI-DSS implementation
  • NIST Framework Adoption
  • Business Continuity Framework
  • Regulatory Compliance


Azure App Modernization

  • Azure Active Directory
  • Azure DNS
  • Azure App Service Plan (Web Apps, API Apps, Web Jobs)
  • Azure Functions
  • Application Insight
  • Azure SQL
  • Azure Container Services
  • Azure DevOps


AWS App Modernization

  • AWS Identity and Access management
  • Route53
  • Cloudfront
  • Elastic Beanstalk
  • Lambda
  • Cloud Watch
  • EC2 Container Services
  • Code Deploy


Amazon Web Services

Microsoft Azure

IBM Cloud

AmaOracle Cloud

Frequently Asked Questions

Artificial Intelligence solutions enable the automation of medium to complex processes and take Robotic Process Automation to the next level. It powers predictive maintenance of heavy machines thus reducing operational costs. AI enables pattern identification with vast data volumes thus augmenting human intelligence and decision making. It improves the analytics domain to the nth extent. While Natural Language Programing (NLP) algorithms read and augmedata nt to produce analytical reports, Natural Language Generation (NLG) algorithms write sentences.

AI joins the dots from disparate data sources and discovers interesting patterns that are less visible to the human eye and intellect. Consistent variations, clustering of data points, dependencies, etc., bring forth interesting stories from the stagnant data resources. Using data, AI-enabled information mining generates hypotheses, verifies them, and deduces information. Information Mining forms the basis of Predictive Analytics and Machine Learning.

AI-powered Data Mining enables users to perform different levels of tasks –

  • Anomaly detection, where unusual patterns or outliers are thrown up, which may be errors or require deeper investigation
  • Associations, where the relationship between two or more variables are brought forth, and is frequently used in forensic investigations
  • Clustering, where data points that are similar in more than one ways are discovered
  • Classification, where known structures are generalized in order to apply to new data points; for example: Records or File Classification
  • Regression, where a function is found, which models the data and estimates the relationship between different data points
  • Summarization, where a concise summary is generated based on weighted keywords. It is popularly used for generating audit reports and executive summaries.

AI simplifies Document Management to a great extent. It enables automatic file classification or categorization as well as summarization. The files may include spreadsheets, documents, emails, PDFs, video files, audio files, social media, news, and other data types.

AI algorithms generate intelligence from high data volumes by correlating disparate data points. This data may comprise structured, unstructured, and multi-structured data.

A recent feature is AI-enabled Topic Modelling. It allows screening of huge data sets, such as reviews, emails, social media snippets, etc., and segregating them as per the predominant sentiment.

AI algorithms use weighted keywords and correlate them to generate concise summaries of lengthy documents, news articles, research papers, agreements, books, tweets, etc.

It uses two methods – Extractive and Abstractive. Extractive Summarization extracts several portions of the text and stacks them to create a summary. Abstractive Summarization uses NLP algorithms and generates a new summary.

AI-powered document summarization is used in audits, research study scenarios, social media listening, government services, etc.



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Amit Mahajan
N Alliance Tech Commercial Director

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