Implementing Data Science as a Service
Driving enterprise transformation by accelerating analytics initiatives and promoting intelligent insights in near real-time
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Empowering Businesses with Qualitative and Quantitative Insights
Business case identification with veracity assessment and design recommendations analysis. Evaluating and mapping business outcomes with Technology Identification and Solution Roadmap.
Optimize the Business Processes
Innovating and automating processes with machine learning and deep learning, enriching customer Insights, and cost optimization.
Deliver Data-informed Insights
A human-centered design focuses on understanding and reasoning, user research, experience, and personal insights.
Data-centric Customer Experiences
The data-centric approach helps businesses to create a culture for data-driven conversations and deliver business outcomes.
How Augmented Analytics and Smart Data Discovery improving Intelligent Insights?
Streamlining management processes, making information accessible to business users and improving the user experience across the analytics value stream.
Building Actionable and Advanced Analytics Capabilities
Customer Analytics Solutions and Services
Customer Analytics solutions that help Enterprises to target customers using personalized product service recommendations predict customer behaviour using predictive modelling.
Strategy for Building Effective Customer Behaviour Analytics
Data Munging and Wrangling
Empower Advanced Analytics boosted Munging and Wrangling solutions for cleaning and transforming the data and preprocessing before the process of mining.
Predictive Analytics Solutions
Predictive Analytics Solutions for enabling Decision-Making and Intelligence, Risks Analysis and Predictive Analytics Capabilities.
Time Series Forecasting Analysis
Solutions for building time series forecasting models and automated time series forecasting applications using statistical analysis techniques.
Operational Analytics Solutions
Enterprise Operational solutions for developing Predictive Analytics Capabilities and empowering enterprise performance analytics solutions.
Streamline business intelligence initiatives
Leverage ML and insight-driven engineering solutions for producing better business decisions and predictive analytics capabilities
Analytics Solutions on AWS
End-to-End Customized solutions for building and deploying AI and Machine Learning Models with Amazon SageMaker.
Drive Business decisions with Azure Solutions
Developing Machine Learning based solutions with Azure Machine Learning Studio for empowering personalized customer experience and managed ML lifecycle.
Unlocking Business Value with Data Science
Empowering businesses with real-time interaction and actionable insights.
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Enabling Deep Learning based solutions for Anomaly Detection
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How to Enable Deep Learning Approach for Automatic Log Analytics?
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What are the Best Practices for building a Deep Learning Pipeline?
How Data Science empowers digital transformation to deliver business value?
Design-led and data-centric customer experiences empower businesses to gain the right insights and develop new products and services.
Enterprise Technology
Banking and Finance Sector
Healthcare
Education
Transportation
Retail
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Key Enablers
Enablers for Accelerating Digital Transformation
Big Data Engineering
Data Science
DevOps
Data Visualization
Enterprise AI
Serverless
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Introduction to Google Sheets as a Database As the saying goes, "There is no-one-Database for everyone," the needs of each user may require a different solution with different functionalities to...
Introduction to Data Processing in Healthcare The key to new advancements is Data. Today, we get tons of data from almost every aspect of our life. This level of data has become large and...
Introduction to 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 data and...
Overview of Golang Unit Testing With the evolutionary growth of the software development process, Test Driven Development is an approach which consolidates test first driven methodology and...
What is Natural Language Processing (NLP)? Natural Language Processing techniques, a subset of Artificial Intelligence, increase their necessity by improving their sub-technologies daily. Language is...
Introduction to Data Preparation Deep learning and Machine learning are becoming more and more important in today's ERP (Enterprise Resource Planning). During the process of building the analytical...
What is an Integration Platform? An integration platform provides you with several integration software, all of which could be termed middleware products. Also, that would help enable the user to do...
What is an API? The API stands for Application Programming Interface. It is an application interface that allows two applications to communicate. In other words, an API is a messenger that brings...
What is DevOps? DevOps is a process in which, Modern software engineering Culture and Practices develop software where the development and operation teams work hand in hand as one unit, unlike the...
Introduction to Graph Analytics 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 best solutions for...
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 SOLID in TS/JS? A few terms to keep in mind before starting SOLID are the principle of least knowledge, coupling, and cohesion.
Introduction to RPA Open Source Tools Humans are again coming into the new world of Automation. It is one transformation that is automating our daily repetitive tasks. It enables a higher efficiency...
Introduction to Automation Optimization Process The automation optimization process improves efficiency and reduces the manual work of an organization's processes. It is carried out to achieve...
What is Web 3.0? It is also known as the 3rd Generation Internet, is the next evolution of the World Wide Web. It delivers a data-driven semantic web that leverages machine-based data understanding...
Overview of Agile Development Methodology It is a Mindset (Attitude, Culture, leadership, and Styles) which is defined by Values called as Agile Manifesto, i.e., is guided by principles, manifested...
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 Java. This language allows the...
Overview of SQL vs. NoSQL vs. NewSQL These are the types of databases, and in the upcoming paragraph, you will understand each of them. SQL Databases can also be termed Relational Database management...
What is Azure Sentinel? It is a SIEM (Security Information and Event Management) and Security Orchestration and Automated Response (SOAR) system in Microsoft's public cloud platform. It can provide a...
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 Insider Threat The threats originating from employees, contractors, and vendors working with an organization are known as insider threats. Generally, ex-employees and contractors of an...
What is the Scrum Framework? Scrum is a simplistic method. It's the total opposite of a massive collection of intertwined components needed. Scrum is not a process. Scrum employs empiricism as a...
Introduction to Functional Specification Document It's no secret that you need to have clearly defined processes with frequent checkpoints and checklists for a project to succeed. But what does this...
Introduction to Experience Mapping A user experience map is a way to visualize a detailed user experience that the average user will have to go through to achieve a goal. Experience mapping is one of...
Introduction to Monitoring as a Service (MaaS) As the tech world is expanding rapidly with new technologies and new possibilities, these are the security issues and preventive measures to assure a...
Introduction to Functional and Class-Components Developing a single page application, developers have to write more than thousands of lines of code that follow the traditional DOM structure. If any...
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....
Overview of Kubernetes-Based Event Driven Autoscaling Implement event-driven processing on Kubernetes using Kubernetes-Based Event-Driven Autoscaling (KEDA). The IT industry is now moving towards...
Introduction to Kubernetes, IaC and Helm What is Kubernetes? Kubernetes is one of the best platforms to deploy and manage containerized applications. But deploying such containerized applications...
What is Container Storage Interface(CSI)? CSI stands for Container Storage Interface. It is an initiative to combine the storage interface of Container Orchestrator Systems(COS) such as Mesos,...
Digital Transformation Enablers
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Helping Enterprises develop Cloud Native and AI-First Capabilities
Enablers for Accelerating Digital Transformation
Actionable Insights driven Articles
Intelligent Process Automation Systems and Benefits
Intelligent Process Automation Systems and Benefits
Building AI-driven Analytics Platform for Enterprises
Building AI-driven Analytics Platform for Enterprises
Introduction to Data Preparation and Preprocessing
Introduction to Data Preparation and Preprocessing
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Predictive Analytics
Intelligent Decisioning System
Business Intelligence
Machine Learning
Predictive Analytics
Understand what role Predictive Analytics plays in Knowledge Data Discovery tasks and Machine Learning to build qualitative and quantitative predictions for the future.
Intelligent Decisioning System
The intelligent decision is a cognitive-based system that makes an in-depth analysis of decision systems based upon their previous insights and forecasts intelligent solutions for the issues.
Revolutionize Customer Experience and business operations with AI and Intelligence-driven business outcomes.
Machine Learning
Organizations are increasingly incorporating Machine Learning technologies into their corporate models to build Recommendation Engines, enable Model Management, and scale operations.
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