IoT Consulting Services
IoT Consulting Services for enabling Real-Time intelligence and Scalability with Cloud-enabled solutions.
With Human-centric, sustainable, and Resilient Industry 5.0 strategy for empowering connected IoT applications for Industrial solutions with AI powered Robots to enhance workspace processes and the well-being of the worker and provide prosperity beyond jobs and growth.
Enable end-to-end device data lifecycle management and connect to cloud devices without server provisioning.
With Edge AI and Computing capabilities, enterprises can enable processes to respond in real-time and enable low latency solutions.
Industrial IoT Solutions with convergence fostering invention and adding new efficiencies in IoT and Intelligent Edge solutions.
With an integrated Platform Services for process automation and standardisation of IoT Processes and workflows which enables automated security management and performance management in real-time, enterprises can focus on the scalability of the application.
Enables Identity and Access Management solutions integrated with existing enterprises LDAP and Windows AD Access Management.
Manage Application Operational Flexibility at Scale
Supports fast data and reactive apps, event-driven, Fault Tolerance, Real-Time, and Streaming Data for solutions from different devices and data types.
Foster 360-degree view into existing infrastructure by connecting devices while leveraging the capabilities of IoT
Build a single platform to enable enterprise to monitor connectivity, device and produce data analytics and visualization
With the emergence of Edge Analytics, enterprises can monitor and analyse connected devices in real-time.
IoT Consulting Services for enabling Real-Time intelligence and Scalability with Cloud-enabled solutions.
Google Cloud Platform Fully Managed Services
Empowering Intelligent platform and solutions with Google Cloud
AWS Connected Solutions
Simplify development of scalable and reliable applications by connecting devices and administering them at the edge with AWS
Microsoft Azure Digital Twins Solutions
Build and Deploy Internet of Things Solutions Applications leveraging Artificial Intelligence with Microsoft Azure Hub.
Advanced IoT Services for a collective network of connected devices on secure and scalable platform.
Enterprise Technology
Banking and Finance Sector
Healthcare
Education
Transportation
Retail
Enterprise AI
Big Data Engineering
Data Science
DevOps
Data Visualization
Serverless
RESET
Introduction to Edge AI Edge AI is a combination of artificial intelligence and edge computing. Locally, algorithms are processed on the machines on the manufacturing line or a nearby server. The...
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Overview of Scala Application Scala is an object-oriented programming language. It provides support to functional programming. It also helps to remove bugs in complex applications. In this article,...
Overview Deploying software applications can be complex and challenging, particularly considering the vast number of deployment strategies available. Selecting the right strategy depends on the...
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Overview of Serverless Computing In the past, when developers wanted to host any of their websites, there was the need for a physical data center where their server would run, which is very bulky and...
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What is Java and Kotlin? Java is the native language used by Android, applications that communicate with the operating system and directly use the hardware uses it. This language allows the creation...
Overview In the interlinked world of today, when digital technologies penetrate every part of our lives, trust has become a crucial element in determining how we experience the digital world. Users...
What is Zero trust cyber-security? Zero Trust is a cybersecurity strategy that secures an organization by removing implicit trust and continuously validating every stage of digital interaction to...
What is Machine Learning? Machine learning is an area of computer science that allows computers to learn without having to be programmed directly. Machine learning is one of the most fascinating...
What is Cloud Native Observability? Control theory defines "observability" as the ability to determine the internal states and, accordingly, the behavior of a system only by examining its inputs and...
What is Cloud Governance? It is a set of rules. It applies specific policies or principles to the use of computing services. This model aims to secure applications and data even if located distantly....
Introduction to Cloud Native Network Functions A cloud-native network function (CNF) is a service that executes network functions in software rather than dedicated hardware. Because of the huge and...
Introduction to Product Management Roadmap As a product manager, you might be asked to create a roadmap. This document can take many forms, but it's essentially a plan that details the various stages...
Introduction to Product Development With new products hitting the market daily, the need to develop better products is increasing daily. Factors like industry, product type, features, and others come...
Introduction to Incident Management Tools Incident management tools are software applications that help organizations manage incidents, track and monitor incident response progress, and measure the...
Overview of Storage Class in Kubernetes To understand the concept of storage class in kubernetes, first, we need to understand the volume concept in Kubernetes. In simple terms, kubernetes volume is...
Introduction to Kubernetes We are rapidly moving towards the age of cloud computing, where every organization, small or big, has or wants its resources and data to be available, no matter what region...
What is Kubernetes Operators? Kubernetes is growing day by day, and now every organization is keen to adopt the containerization technology and it's gone so for that it can quickly deploy the ...
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Digital Twin
Data Denormalization
Edge Computing
Intelligent Enterprise
Digital Twin is defined as the representation of a physical asset, an object which enables enterprises to facilitate efficient development of operations.
It is a technique used on a previously-normalized database to increase the performance.
With Edge Computing Architecture, Enterprises can decrease the burdens of latency and optimize workload efficiency at scale.
It is a graphical representation through which organizations understand the significance of data of IoT Devices.
Automate actions to uncover the unknown
Transform processes to move at market speed
Accelerate business outcome with more accurate predictions in real time
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