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 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
Application security management
Cloud monitoring & analytics
Cloud Managed Services
Cloud monitoring and reporting
Cost monitoring and optimization
Application lifecycle management
Provisioning & Orchestration
Identity management & security monitoring
24×7 Platform / Application Support & Troubleshooting
24×7 L2 and L3 support
Continuous cloud service optimization – Performance & Scalability
Cloud backup and recovery
Dashboard & reporting
Support IaaS, PaaS & SaaS
CI / CD Pipeline
Infrastructure as a Code
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
Cyber Security Model Implementation
FinTech Platform Security Design
Security Posture Audit
Security Architecture Review
Vulnerability Assessment, Trainings
Application Vulnerability Assessments
Network Security Testing
User Awareness Trainings
Implement Standards, Frameworks
ISO 27001, PCI-DSS implementation
NIST Framework Adoption
Business Continuity Framework
Azure App Modernization
Azure Active Directory
Azure App Service Plan (Web Apps, API Apps, Web Jobs)
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.
How AI Is Transforming The Way Enterprises Use RPA