Continue # Infosys Whitepaper 
 its different formats The focus areas in digital transformation through this approach are: 3. Data protection for multiple data  sources – Infosys Next-Gen TDM  connects to multiple data sources on  cloud and on-premises. It provides a  framework of reusable components for  gold copy creation and sub-set gold  copy. Data is masked and protected  through a library of algorithms for  various data types.<|endoftext|>4. Data augmentation – The accuracy of  AI and ML algorithms depends on the  quality of training data and the scale  of data used. The larger the volume  and more diverse the training data  used, the more accurate and robust  the model will be. Infosys Next-Gen  TDM generates high volumes of data  based on a predefined data model, data  attributes, and patterns of data variation  for training, validating, and testing AL/ ML algorithms.<|endoftext|>5. Integration through external tools – To  enable full-fledged DevSecOps, Infosys  Next-Gen TDM has a library of adaptors  that connect to the various orchestration  tools in the automation pipeline.<|endoftext|>Diferential privacy & resistance to reconstruction Data protection Generalization Perturbing data Structured data Pre-set Files Unstructured Data Images Communication 
Format Provide structured data for analytics Data generation of fles Logs and chat transcripts Provide images for UX testing / AR-VR Kits XML, JSON, SWIFT External Document © 2021 Infosys Limited 

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 The Way Forward: Building  Evolutionary Test Data for  Your Enterprise  Production and synthetic test data can  coexist in a testing environment, either  to optimize their role in various testing  operations or as part of a transition from  one to the other. This may require the  organization to think differently about  test data and develop a roadmap for  long-term continuous testing. To solve  test data challenges, enterprises should  focus on using evolutionary architecture  to build contextual test data using a  three-pronged strategy: •  AI-assisted data prep: Fitness  functions – Focus on identifying  the key dimensions of data that  need to be generated for testing.  Enhance feature engineering across  multi-role teams to build the key  fitness functions and models for data  generation across each data domain  and data type.<|endoftext|>•  Focus on incremental change – Help  data architects focus on incremental  change by defining each stage  of test data management based  on the tester’s experience. This  will enable testers to selectively  pick the right data for different  deployment pipelines running on  different schedules. Partitioning  test data around operational goals  allows testers to track the health and  operational metrics of the test data.  •  Immutable test data suite – Focus  on building an immutable test data  environment with best-of-breed tools  and in-house innovation to ensure  the right tool choice for test data  generation. This helps enterprises  choose the tools best suited to their  need, thereby optimizing total cost of  ownership (TCO).<|endoftext|>External Document © 2021 Infosys Limited {{ img-description : two businesspeople standing in a rack of servers, in the style of found-object-centric, night photography, metalworking mastery, studyplace, ferrania p30, security camera, 32k uhd (to right) }} 

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 © 2021 Infosys Limited, Bengaluru, India. All Rights Reserved. Infosys believes the information in this document is accurate as of its publication date; such information is subject to change without notice. Infosys  acknowledges the proprietary rights of other companies to the trademarks, product names and such other intellectual property rights mentioned in this document. Except as expressly permitted, neither this  documentation nor any part of it may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, printing, photocopying, recording or otherwise, without the  prior permission of Infosys Limited and/ or any named intellectual property rights holders under this document.  For more information, contact askus@infosys.com  Infosys.com | NYSE: INFY Stay Connected About the 
Authors Avin Sharma       Consultant at Infosys Center for Emerging Technology Solutions (ICETS) He is currently part of the product team of Infosys Enterprise Data Privacy Suite, Data for Digital ICETS. His focus includes product  management, data privacy, and pre-sales.<|endoftext|>Ajay Kumar Kachottil       Technology Architect at Infosys with over 13 years of experience in test data management and data validation services.<|endoftext|>He has implemented multiple test data management solutions for various global financial leaders across geographies.<|endoftext|>Karthik Nagarajan        Industry Principal Consultant at Infosys Center for Emerging Technology Solutions (ICETS).<|endoftext|>He has more than 15 years of experience in customer experience solution architecture, product development, and business development.  He currently works with the product team of Infosys Enterprise Data Privacy Suite, Data for Digital ICETS, on data privacy, data  augmentation, and CX strategy.<|endoftext|>  


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