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#Digital EngineeringWhite
PaperWhy Data Modernization is the Key to Accelerate Enterprise Digital Transformation
Abstract Sourcing, interpreting, and consuming data is becoming a challenge for most enterprises. Are you willing to take the risk of falling behind competitors who can derive actionable insights from the data and deliver outcomes? Modernization of data promises to overturn this. This white paper addresses these challenges and advocates how a robust data modernization strategy can help not only derive a competitive advantage but also leverage the true power of collaboration.Download the Collateral
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#BankingCase
StudyEnhance Test Coverage Using iNSta: Scriptless Test Automation
Featured in IDC’s Enterprise Intelligent Services Case Studies: AI-Enabled Analytics
Abstract A bank devised a framework to validate its credit risk model. It took time to validate the concept and comprehend its usage throughout the spectrum of consumers. With this, the validation requests grew and responses to backlogs spiked. Discover how Cigniti’s digital engineering and digital insights expertise helped chalk out an assessment strategy to identify potential gaps to streamline the credit risk model validation process. This reduced credit-loss rates, making significant efficiency gains.Download the Collateral
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#AllWhite
PaperHow to Build a Scalable Data Annotation Pipeline with Zastra
Abstract Poorly processed data is cited as one of the major reasons that machine learning projects fail. Your training dataset's construction, formatting, and annotation all directly affect the model you develop. When trying to scale annotation pipelines, enterprises face substantial challenges. Read this white paper on how an active learning-based, end-to-end data curation and annotation platform - ZastraTM - can address these challenges.Download the Collateral
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#AllBrochure
Data & Insights
Abstract Today’s organizations lack in-house teams and technological expertise that are focused on preparing data and generating insights. The perceived cost of execution, complexity, dependence on deep-rooted legacy systems, the sheer volume of data, and lack of systems and processes make it difficult for organizations to achieve the right insights, thereby limiting their true potential. Read the brochure, to know how Cigniti can help you to make your decision-making process faster and more accurate by providing a full range of Data & Insights services.Download the Collateral
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#Artificial IntelligencePodcast
How to start an AI Project – Baby Steps or Giant Leap
Speakers: Srinivas Atreya, Chief Data Scientist, Cigniti (A Coforge Company) -
#BankingCase
StudyEnhance Revenue Leveraging Customer Lifetime Value Model
Abstract A marketing metrics study reveals that the probability of selling to a new prospective customer is 5%–20%, when compared to an existing customer is 60%–70%. A large banking and financial group wanted to enhance its revenue by retaining its customer base, assessing customer value, and targeting them with the right set of tailored products. Discover how Cigniti devised a Customer Lifetime Value Model for the bank and accelerated its customer retention and revenues.Download the Collateral
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#HealthcareCase
StudyEnhance Patient Healthcare Experience through Automation
Abstract Longer wait times may have an impact on patient care and may refrain them to seek medical attention. This may affect the continuity of care and disrupt patient outcomes. To mitigate this challenge, a healthcare provider wanted to integrate patients, practitioners, and field workers on a single platform for faster and frictionless treatment. Discover how Cigniti devised a digital platform that streamlined the manual & fragmented processes into connected, automated ones providing accessibility and personalized care.Download the Collateral
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#BankingWhite
PaperWhy is API Testing Important for Open Banking
Abstract Open banking is a technology-enabled financial services that utilizes authenticated and aggregated data, connected via APIs, to give consumers more ways to manage their money while also making transactions more secure. This white paper sensitizes the decision-makers in open banking on how to identify and resolve the challenges that open API pose, harnessing the best digital assurance practices.Download the Collateral
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#Data & InsightsWhite
PaperIncrease Transparency & Acceptance in AI with Explainable AI
A White Paper on Explainable AI
Abstract When bringing AI models into production, a business must first establish trust and confidence. A company may adopt a responsible approach to AI development with the help of Explainable AI or XAI. An AI model, its anticipated effect, and any potential biases are all described through explainable AI. This white paper sheds light on why Explainable AI is being hailed as an emerging field in ML and aims to address how black box decisions of AI systems are made. It will also discuss the industry-specific use cases of explainable AI and its other benefits in making AI more dependable and trustworthy.Download the Collateral
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#DevOpsWhite
PaperDevOps Maturity Assessment Model
Abstract Though DevOps encourages faster, better, and more secure delivery of business value to customers, few issues can complicate the enterprise DevOps journey. Therefore, it’s imperative to assess progress at each stage and improve software delivery methods to ensure continuity. Is there a metric? How to track and improve the release process and automation? How to assess where they stand and where they are heading? This white paper answers all these questions and helps develop a DevOps maturity model to assess how to drive your enterprise up the curve.Download the Collateral
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#Cloud AssuranceWhite
PaperIT Leaders Guide to Hybrid Cloud Automation
Abstract Enterprises opt for a hybrid cloud as it enables businesses to leverage the benefits of public and private cloud infrastructure. Automating a hybrid cloud can help enterprises reduce operating costs while enhancing operational efficiency at the same time. This white paper sheds light on the best roadmap and factors to consider for automating a hybrid cloud. It will also discuss some challenges businesses might encounter while automating the hybrid cloud and the steps they can take to overcome them.Download the Collateral
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#Test Data ManagementWhite
PaperWhy CIOs Must Focus on Test Data Management
A Cigniti-Broadcom Joint Thought Leadership Initiative
Abstract Testing cycles are getting smaller with the advent of Agile and DevOps. Creating quality data within that cycle, as well as performing software testing can become daunting. Test data management provides data subsets and synthetic data which reduces cost, time, and effort in the testing cycle, and a cost-efficient software deployment process. Read this joint white paper by Cigniti & Broadcom to know how CIOs can leverage test data management to overcome the challenges related to security, speed, and quality.Download the Collateral
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