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#Artificial IntelligencePodcast
How to start an AI Project – Baby Steps or Giant Leap
Speakers: Srinivas Atreya, Chief Data Scientist, Cigniti -
#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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#AllWhite
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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#iNStaWhite
PaperWhy Self-Healing Test Automation Platforms Make Sense
A Cigniti-Leapwork Joint Thought Leadership Initiative
Abstract When new features are added to an application, self-healing test automation leverages AI and ML to detect changes and automatically update tests as the application evolves. Identifying the ‘stage of test automation’ makes enterprises better equipped to prepare for the automation journey, overcome challenges, and increase the chance of succeeding. Read this joint white paper with Leapwork to know more.Download the Collateral
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#Data & InsightsWhite
PaperData Integrity Assurance for Digital Transformation
A Cigniti-Tricentis Joint Thought Leadership Initiative
Abstract Testing data integrity is essential to ensure that the quality of data is accurate and it functions as expected. With automated testing, enterprises can easily minimize downtime, improve processes, and use data to make informed decisions. Read this this joint white paper by Cigniti & Tricentis to know how data integrity assurance is helping you win at digital transformation.Download the Collateral
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#AgilePodcast
Transforming Healthcare Digital Experiences by Reimagining Agile
Speakers:
Blake Hill, Director - QA, DevOps & Agile Transformation at a Healthcare enterprise; Sachin Srivastava, Vice President, Global Delivery at Cigniti -
#BFSIPodcast
Avoiding Pitfalls of Cloud Migration in the BFSI
Speakers: Avik Ganguly, Director, DevOps & Quality Engineering at London Stock Exchange Group; Nanda Padmaraju, President at Cigniti
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