Digital Twin Platforms
Digital First Strategy for leveraging the cloud, AI and IoT capabilities.
Digital Twin Tool for enterprises to create digital illustrations of a physical thing/object. The mechanism involves sensors attached to the physical object for collection, including physical, manufacturing, and operational data. Driving Industry 5.0 with IoT, Big Data Analytics, AI, and Automation solutions.
Improving Quality, and Efficiency of operations and streamlining the Overall Warranty and Operational Cost.
Enable Improved Productivity, Lower Maintenance Costs and Risk Rates, and increased Reliability.
Proactive Mechanical detection, Adaptation to changing conditions, and lowered risk of failures.
End-to-End Solutions for empowering real-time monitoring and processing of data. After analyzing the data, enterprises can streamline operations and reduce maintenance costs.
The development of customized business applications with a continuous architecture approach so enterprises can concentrate on core business processes and enable innovation.
Digitalization Strategy
Build Intelligent Connected Device solutions with seamless integration of existing enterprise applications.
With the emergence of Edge Analytics, enterprises can monitor and analyse connected devices in real-time.
Harnessing custom capabilities for ensuring unified development, and decentralized implementation of applications.
Enterprise Ready Blockchain Solutions centered around improving ROI, automating Asset management and optimizing supply chain cycle.
Digital First Strategy for leveraging the cloud, AI and IoT capabilities.
AWS TwinMaker
Deploy operating systems in microcontrollers and intelligent applications on edge with AWS IoT core and Device management.
Azure Digital Twins
Simulate and analyze the behavior of connected devices and systems to control and automate them.
Challenges and Strategy for Digital Transformation
Enterprise Technology
Banking and Finance Sector
Healthcare
Education
Transportation
Retail
Big Data Engineering
Enterprise AI
Data Science
DevOps
Data Visualization
Serverless
RESET
Companies can effortlessly access and analyze data that helps improve decisions with the help of business intelligence and data analytics tools and practices. Having the right information at the...
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Introduction to Edge AI in Automotive Industry When we think about Edge AI in the automotive industry, most of us have thought about cars' functionality that can be remotely controlled via smart...
Introduction to Responsible AI for Customer Services As Artificial Intelligence technologies become more pervasive, solutions such as recommending products, risk assessment, behavior assessment,...
Introduction Edge AI Processing data near the edge of the network, where the data is generated, instead of a centralized data-processing warehouse. Edge computing enables mobile computing and IoT...
Introduction to NLP in AI In today's digital world, businesses are overpowered with unstructured data. So without the right technology, businesses can't process and analyze a huge volume of...
Introduction to Automated ML 50% of respondents said their companies had embraced AI in at least one of their business functions. 1/3 of IT leaders are preparing to use ML for business analytics. 25%...
Introduction to Artificial Intelligence Artificial intelligence (AI) plays an essential role in maintaining the future of work. In an increasingly complex and continuously accessible marketplace,...
What is an API? The API stands for Application Programming Interface. It is a software interface that allows you to communicate with more than two applications. In other words, an API is a messenger...
Introduction DevSecOps pipeline ensures that security is monitored throughout the life cycle of software development. Here, we describe each DevSecOps category and suggest useful DevSecOps tools that...
Introduction to AIOps and DevOps While orchestration and monitoring play key roles in DevOps, the emerging practice of using artificial intelligence (AI) to support and automate operational roles by...
Introduction to Open Telemetry Open Telemetry is an open-source project hosted by CNCF that provides a standard way to generate telemetry data. It provides a set of APIs, libraries, agents, and...
Introduction to Graph Analytics and Knowledge Graph Graph analytics is a new field of data analytics that helps businesses leverage their model by adopting a variety of its algorithms to identify the...
Overview of Data Visualization Data Visualization is the graphical representation of information. By using best Visualization tools or visual parts like layouts, outlines, and maps, data perception...
What is User Story? User Story is the High-level definition of the requirement of project demands that involves enough information that the developer has to give an estimate of the effort required to...
What is Infrastructure Management? Infrastructure management is the process of overseeing and maintaining the hardware, software, and related systems that support an organization's operations. This...
Introduction to AWS Serverless Computing Before we introduce AWS Serverless Computing let's talk about it. Basically in layman language usage of serverless computing will result in No efforts...
Introduction to Threat Intelligence Threat intelligence is the process of gathering and analyzing information about potential security threats to an organization, with the aim of preventing or...
What is Dynamic Application Security Testing (DAST)? It is a test that is done from an end-user perspective to detect malicious activities and attacks. In this, security test cases are performed...
What is Security Testing? A testing type of software testing that reveals vulnerabilities, pitfalls, and pitfalls in a software operation prevents vicious attacks from interfering. The purpose of...
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...
Introduction to BizOps for Digital Transformation It is a constant mantra in today’s business world. It’s not just about creating digital products, services, and experiences. To succeed in the...
Introduction to Digital Business Automation Business Process automation comes with many advantages, including increased customer satisfaction, service consistency, managed workflow, etc. With the...
What is Digital Transformation? Have you ever thought of using technologies to modify existing or create new business processes? Thinking of customer experiences to meet changing business and market...
What is Big Data in Cloud Computing? The efficient operation of large data applications in cloud-native environments is a difficult problem with both theoretical and practical value.
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 ...
Introduction to Kubernetes Security In recent years, the digital world has seen a transition of application architecture from monolithic to microservice. Containerization & container orchestration...
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...
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Internet of Things
Artificial Intelligence
Edge AI
Digital Engineering
Recognize the opportunities for automating processes and use data analytics to enhance industrial process execution.
AI strategy to accelerate their Digital Transformation journey.
Edge AI has the potential to revolutionize how AI technology is developed and used worldwide benefiting the manufacturing, surveillance, and monitoring industries.
Digital Engineering has the potential to drive significant improvements in a wide range of industries, enabling more efficient, effective, and sustainable solutions.
Adapt to new evolving tech stack solutions to ensure informed business decisions.
Achieve Unified Customer Experience with efficient and intelligent insight-driven solutions.
Leverage the True potential of AI-driven implementation to streamline the development of applications.
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