AI Software Product Engineering Services
AI Digital Product development Services and Strategy Consulting for streamlining and accelerating development.
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AI Product Development and Engineering for Analytics and Digital Twins
AI Engineering for driving value within Systems by developing tools, systems, and processes for DigitalOps and Digital Twin. Enabling AI Insights with Data Intelligence to create new service models that delight customers and improve performance.
DevSecOps
Digital Transformation towards autonomous operations by integrating different products and business processes for real-time insights and decision-making.
DataOps
Modernising products to drive business value needs a Cloud Platform strategy for data and application modernisation for automation and Generative AI
ModelOps
During Modernization or building a new digital product, enterprises need service design to map customer requirements and redefine user journeys
AI Product Engineering with Cloud Native
For Rapid Software product development and faster delivery, incorporating accelerator solutions to reduce the SDLC lifecycle and provide faster time to market.
Increase Operational Scale with AI ecosystems
Sustenance and Support
Maintaining and sustaining legacy applications for customer revenues at reduced cost with defined SLAs while transitioning to new modern architectures.
Explore Our Capabilities
Incorporating Service Design principles empowers businesses to streamline New User Experience design and simplify software operations.
API driven Architecture helps enterprises to adopt platforms, ensure better resiliency and increase stability.
Implementing Continuous Integration and Delivery best practices is essential for developing faster software release cycles and enabling automated software development life cycles.
Leveraging TestOps and Test Automation based capabilities for efficient management of software testing processes and developing optimized Test Strategy.
DevOps Development Services with DevSecOps
DevOps Engineering Services with continuous Security for Continuous Delivery pipelines for modern applications with cloud-native Microservices and serverless Architecture.
AI led Modern Data Stack for Data Intelligence and Real-Time Analytics
Augmented analytics needs a modern data analytics Stack for AI-powered decision Intelligence for decision-making in real-time.
IoT Platform Development Services with AI and Machine vision transforming Digital Grid.
Industrial IoT Platform with Artificial Intelligence and Machine Learning for predictive maintenance and automating asset management and inspections, monitoring assets on the cloud helps to improve the performance of energy assets.
Advanced Product Engineering Solutions for Building Human-centered AI Applications
Product Design needs human centered approach for ethical AI implementations.
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What are tools for managing the Software Quality?
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Overview of New Development Best Practices
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Recommendation with Graph Database
AI Product Engineering for Data-Centric, Collaborative and Value Sensitive Designing
Integrating Design with Technology needs systematic approach for human Values
Enterprise Technology
Banking and Finance Sector
Healthcare
Education
Transportation
Retail
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Key Enablers
Enablers for Accelerating Digital Transformation
Enterprise AI
Big Data Engineering
Generative AI
DevOps
Data Science
Data Visualization
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Here are our Recommendations...
Overview of Autonomous Vehicles While kickstarting the journey towards the creation of autonomous vehicles, Edge AI is gaining prominence. In general, cloud computing has been used to support the...
Today’s retail industry is rapidly evolving due to the introduction of new technologies that cut across the changing customer demands. One of the most important technologies of the future of retail...
In the present age of rapid development in the information technology sphere, it is indubitable that cloud operations have become a core or rather are key to the survival of enterprises as they...
Introduction to Apache Kafka In a data-driven approach, business decisions are based on data, not intuitions. Hence, data-driven organizations use this strategic process to leverage insights from...
Real-Time Event Processing with Kafka As the industry grows, that produced has also increased in the changing scenario. This data can be a great asset to the business if analyzed properly. Most tech...
Understanding Data Integration Data integration is the process of combining data from disparate sources to provide users with a unified view.
Empowering Security Operations with Agentic AI and Agents Technological advancements in the digital sphere are growing rapidly, and as a result, organizations are beset with an increasing number of...
Gen AI in Customer Success In less than a year, generative AI has significantly improved, changing how we think about creativity and productivity. It has transformed various fields, from image to...
Introduction to Generative AI and Intelligent Automation Generative AI and Intelligent Automation are two groundbreaking technologies reshaping various industries and processes. Both are integral...
What is Application Release Orchestration? Application release orchestration is the coordination of the tasks associated with the deployment of software updates over different release environments,...
What is Release Engineering? Release engineering is a new and rapidly growing subject of software engineering. It derives the standards for application development and is seriously followed to ensure...
Overview of Persistent Storage Persistent Storage is critical for running stateful containers. Kubernetes is an open-source system for automating the deployment and management of containerized...
Federated Learning Overview Federated learning is a Machine Learning technique that involves training an algorithm through several decentralized edge devices or servers that carry local data samples...
Evolution of Analytics in the last decade Around ten years ago, the tools for analytics or the available resources were Excel, SQL databases, and similar relatively simple ones compared to the...
Introduction to Real-Time Analytics Data without context is worthless. All our efforts will be in vain if we hesitate to act, pivot, or modify. We can examine every rock and draw every potential...
Introduction to Streaming Data Visualization Streaming Data Visualization gives users Real-Time Data Analytics to see the trends and patterns in the data to take action rapidly. It is the control of...
Importance of Data Visualization Data visualization is a powerful tool that transforms complex datasets into visual formats, making it easier to understand trends, patterns, and insights. In an age...
What is user Experience Testing? User experience testing is having actual people engage with a website, app, or other product you've created and analyzing their behaviours and reactions. It is a...
Clutch Review for Big Data and Cloud Consulting XenonStack Joins Clutch’s Research of Best Big Data and Cloud Consulting Companies. Read more about the review XenonStack Big Data Analytics Consulting...
Introduction The transition to 5G is not just a small step forward; it's a groundbreaking move that revolutionizes the entire spectrum of wireless communication. While much has been said about public...
Introduction In today's digital age, the need for faster and more reliable network connectivity is more crucial than ever. Whether you're streaming video content, playing online games, or running a...
In today's fast-paced digital world, large-scale application management is important. As companies more readily embrace microservices frameworks, the dilemma of deployment, scaling, and maintenance...
Introduction SLO-Based Multi-Stage Delivery The software development industry is very dynamic, and there is always a demand for delivering quality applications. Developed software is required to be...
What is Chaos Engineering? Chaos engineering is an approach to today’s software systems that seeks to strengthen the internal integrity of the system by subjecting it to experiments in live...
In today's global environment, organizations find themselves vulnerable to ever-more-subtle cyber threats, and simple methods of guarding against cyber threats prove ineffective. As attackers...
In today’s cyberspace perspective, threats are frequent and growing sophisticated in their modes of operations to harm an organization, hence the need for better methods and mechanisms. Many of the...
Introduction Generative AI is revolutionizing urban landscapes, catapulting cities into a future where technology complements and enhances every aspect of urban living. This digital transformation...
The landscape of financial markets and wealth management is rapidly evolving, driven by advances in technology and data science. Among the most promising developments is applying Reinforcement...
In today's modern enterprise, engineering leaders must prioritize quality assurance in software delivery to ensure software's rapid and flawless delivery. Millions of customers use various devices...
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Helping Enterprises develop Cloud Native and AI-First Capabilities
Enablers for Accelerating Digital Transformation
Featured Product Engineering Insights
What are the various stages of Product Testing?
What are the various stages of Product Testing?
A Quick Guide to streamlining User Experience in Software Development
A Quick Guide to streamlining User Experience in Software Development
Product Design
Data as a Product
Digital Platform Strategy
Platform-as-a-Service
Product Design
Product Design Service offerings for User Experience and Interaction Design, User Experience Strategy Consulting.
Metadata - Data as a product
Metadata is the data for the data, and metadata enriches the data with information, making data discovery, use, and management more accessible. There is a variety of metadata depending on the use-cases, i.e., purpose, format, quality, and volume.
Building an integrated Digital Platform strategy empowers businesses to drive interconnected ecosystems with microservices architecture for digital transformation.
Platform-as-a-Service
Overview of What are the Challenges and Best Practices of building Platform-as-a-Service applications.