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Artificial Intelligence Services and Solutions

Artificial Intelligence Services, Solutions and Strategy Consulting

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Artificial Intelligence Transformation Roadmap

Assisting Enterprises in building AI Strategy enables them to optimize existing business and distinguish places where AI can generate the most significant value.

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Artificial Intelligence Video Analytics

Intelligent Video Analytics solutions empower organizations to build Image Classification abilities and Advanced Analytics Capabilities.

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Intelligent Process Automation

Assisting businesses to improve workforce productivity, decrease operational costs, and facilitate quicker insights.

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Edge AI

With Edge AI-Enabled Solutions, Enterprises can facilitate Real-Time decision making, leverage advanced edge analytics abilities, and enhance Data Security.

Building An AI-First Organization

AI-Driven Transformation roadmap requires Businesses to Strategize for Scale, incorporate Ethical AI principles, and develop a robust infrastructure.Revolutong business processes and development of products with Artificial Intelligence based Solution offerings.

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AI Development Solutions

AI Development Services for Developing Edge Analytics platform, Quantum Computing Solutions and Next Generation Industry Leading Products.

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Google AI Solutions

With Google Cloud AI and Cloud AutoML enterprises can build scalable AI-powered businesses and solutions.

Why Enterprise AI Platform?

Your Technology Partner for Cloud-Native and Enterprise Transformation

Industries/ Use Cases

Helping Enterprises develop Cloud Native and AI-First Capabilities

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Enterprise Technology

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Banking and Finance Sector

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Healthcare

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Education

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Transportation

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Retail

Key Enablers

Enablers for Accelerating Digital Transformation

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Big Data Engineering

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Introduction to IoT Testing The Internet of Things is the new emerging trend in digital transformation, which many organizations are adopting as the world moves toward digitalization. According to...

Introduction to Metadata Lake We know we are already overwhelmed with data. Whether the use cases of the data, whether the tools and technologies which are used for those use cases and if coming...

Introduction to Azure Analytics Stack An analytics stack can be a set of tools to perform specific processes as a part of an integrated system. By combining tools that perform simple processes...

Introduction to Amazon SageMaker When it comes to Machine Learning (ML) and giving it as a service, it requires Data Engineering, ML, and DevOps expertise. While deploying a production model,...

Introduction to ML Project Life Cycle The steps involved in the ML Life cycle, and MLOps is all about advocating for automation and monitoring at all the above steps. Machine learning project...

Machine Learning Unit Testing with Test-Driven Development A pattern built for development in performance testing is known as Test-Driven Machine Learning Development. It is a process that...

Introduction to GitOps and Continuous Delivery Before jumping on to the GitOps and Continuous delivery part, we should first know why we should care about it in the first place. GitOps is a...

What is Application Release Orchestration? Application release orchestration is the coordination of the tasks associated with the deployment of software updates over different release...

Introduction to DevOps and DevOps Trends 2021 is the year; Firstly, we break the term "DevOps." What was once an accurate portrait has been all but commandeer by Ops organisations. Internal Ops...

What is NODE.js? NodeJs is an open-source, server-side runtime atmosphere established on Google Chrome's V8 JavaScript transformer. Considering its intro in 2009, NodeJS has graced the most...

Overview of SQL vs. NoSQL vs. NewSQL In this blog, we will show you the basic difference between SQL vs. NoSQL vs. NewSQL. These are the types of databases, and in the upcoming paragraph, you will...

Serverless Computing: Introduction Serverless computing enables users to build their applications faster by removing the need for them to handle the infrastructure. When you use this technology,...

Introduction to Machine Learning Platforms Businesses today are looking towards adopting Machine learning for developing intelligent solutions. But adopting the Machine learning solution has its...

Introduction to EdgeOps EdgeOps is a fairly new concept that will change direction shortly. EdgeOps, like Devops, will have a set of values, principles, techniques, practices, and tools for...

Introduction to Personalized Recommendations Privacy-preserving recommendation systems will unlock the latest domains where such techniques can be applied, such as financial planning, health...

Introduction to React learning Nowadays we know that Angular and React are on the boom for front-end developers. As both are different, one is a framework, and the other is a library which we can...

What is Google Lighthouse? Google Lighthouse is an open-source tool provided by google developers so that anyone can check their web page metrics and score of it. After knowing its score, we can...

Introduction to Angular Learning If you are a React developer and looking to learn Angular development? And you are worried about how much of your knowledge is exchangeable? While React and...

Introduction to Kubernetes Kubernetes is a portable and open-source platform that is used for managing containerized services and workloads. Kubernetes tools, support, and services are widely...

Introduction to Kubernetes Security In recent years, the digital world has seen a transition of application architecture from monolithic to microservice. Containerization & container orchestration...

What are Kubernetes and Docker Containers? In order to debug application running in Kubernetes, first, it is necessary to understand Kubernetes and Docker containers. So, let’s start with a quick...

Introduction to Cloud-Native Storage Cloud-native is a new paradigm for developing and running software applications that incorporates technological trends such as cloud computing,...

Overview of Test Collab Test Collab is an easy-to-understand test board instrument that upholds manual & Automation testing. Test Collab is a modern test case management tool that offers a...

Introduction to Cloud-Native Technology Cloud-Native technology is the most effective technology in continuously building and operating the world's largest cloud applications. Being cloud-native...

What is Azure Sentinel? Azure Sentinel is a SIEM (Security Information and Event Management) and Security Orchestration and Automated Response (SOAR) system in Microsoft's public cloud platform....

Introducing Azure Security Services Azure is a hybrid cloud service platform. It supports a wide variety of operating systems, computing languages, architectures, resources, applications, and...

Introducing Google Security Services Data Security is a primary design consideration for all of Google's infrastructure, products, and personnel operations. The collaboration of Google with the...

Introduction to Paas and IaaS Cloud computing  is everywhere now, and there is a need to adapt to it because the requirements are going high side by side with technology. It is becoming very tough...

Introduction to Cloud Computing The cloud computing service platform has become an essential item for pretty much every business.The consistently developing significance of information protection...

Overview of Hybrid Multi-Cloud environment Over several cloud environment, it refers to be a distribution of various cloud software, applications. Hybrid Multi-Cloud environment removes the usage...

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Helping Enterprises develop Cloud Native and AI-First Capabilities

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The Role of Artificial Intelligence in Cyber Security.Complete Guide

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The Role of Artificial Intelligence in Cyber Security.Complete Guide

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Building Enterprise AI Platform

Building Enterprise AI Platform

Artificial Intelligence for Infrastructure Management and Automation

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Artificial Intelligence for Infrastructure Management and Automation

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Find out more about How your Enterprise can Streamline Data Operations and enable effective Management

Machine Learning

Data Science

Deep Learning

Natural Language Processing

Machine Learning

Discover more about how building an effective ML Pipeline helps enterprises to increase the Scalability and flexibility of the entire infrastructure

Data Science

Explore how Data Science Managed solutions leverage predictive analytics for real-time insights and enhanced customer experience.

Deep Learning

Get a Comprehensive Overview of Best Practices for building and deploying a Deep Learning Pipeline.

Natural Language Processing

A Detailed walkthrough to What is Natural Language Processing and Its Applications.