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ModelOps and its Operationalization for Secure and Reliable AI

Organizations need to operationalize, integrate and deploy AI models in line with business value expectations. Many organizations face issues such as decentralization and fragmentation of data science teams which results in delayed development of models due to lack of collaboration between business units. Thus, organizations fail to scale AI by accumulating models that are not implemented and does not match the expectations on the value that should be coming from AI.

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ModelOps and its Operationalization for Secure and Reliable AI

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  1. Powering the Digital Next Helping Innovators Stay Ahead We specialize in engineering products, managing systems, and accelerating digital transformation ModelOps and its Operationalization for Secure and Reliable AI Devices Apps Analytics February 2022

  2. ModelOps and its Operationalization for Secure and Reliable AI

  3. ModelOps and its Operationalization for Secure and Reliable AI Organizations need to operationalize, integrate and deploy AI models in line with business value expectations. Many organizations face issues such as decentralization and fragmentation of data science teams which results in delayed development of models due to lack of collaboration between business units. Thus, organizations fail to scale AI by accumulating models that are not implemented and does not match the expectations on the value that should be coming from AI.

  4. ModelOps and its Operationalization for Secure and Reliable AI The huge gap between model deployment and model governance can be addressed with ModelOps. Each and every organization’s enterprise AI approach should have a ModelOps strategy at its core. It enables technology to converge multiple AI frameworks, solutions, and AI objects while it also ensures its scalability as well as governance. It includes models based on machine learning, rules, knowledge graphs, natural language techniques, etc. Unlike AIOps and MLOps, ModelOps focuses on operationalization of AI and decision models.

  5. ModelOps and its Operationalization for Secure and Reliable AI

  6. ModelOps and its Operationalization for Secure and Reliable AI In order to successfully operationalize any type of model, organizations need to take following 4 steps, initially define the end-to-end model life cycle, integrate the model into existing production environment, monitor the models in production and govern model operations. Some of the technologies involved in ModelOps such as multi-cloud data and AI architectures help to move beyond machine learning models. Organizations with an expertise to understand cross-functional nature of AI, capable of carrying out operationalization and ensuring collaboration between data engineer, AI engineer, data scientist, ML validators will have a secure and reliable AI.

  7. ModelOps and its Operationalization for Secure and Reliable AI

  8. ModelOps and its Operationalization for Secure and Reliable AI InnomindsDigital Transformation Services are aligned to meet your stage-specific needs across the entire product life cycle. Leverage Innominds’ power of AI/ML on such a scale that will improve your core processes, we have the expertise and solution. Innominds’ iFusion is the leading autonomous AI platform that accelerates enterprise AI adoption by enabling full lifecycle AI management from data exploration to governance addressing key challenges of maintainability, sustainability and governance. If you want to know more about InnomindsiFusion product Talk to Us

  9. Contact Us Corporate OfficeHyderabad Kala Jyothi Bldg, Survey No. 185, Kondapur Village, Serilingampalli, Hyderabad – 500084 R. R. District Phone: 040-46126700 Headquarters San Jose  2055 Junction Avenue, Suite 122, San Jose, CA 95131. Phone: 408-434-6463 Fax: 408-434-7061 USA Innovation Centers HyderabadInnominds Software SEZ India Pvt Ltd., Survey No.115 (Part), Waverock, TSIIC IT / ITES SEZ, Nanakramguda Village, Serilingampally Mandal, Hyderabad – 500008 Phone: +91-40-46126300 India       Innovation Centers Bengaluru 3rd floor, Anand Bhavan # 9, Netkallappa circle, Basavanagudi, Bengaluru-560004 Phone: +91-080-40447400 India Email – marketing@innominds.com  | Website – www.innominds.com

  10. Thank You US Office Address 2055, Junction Avenue, Suite 122, San Jose, CA 95131 Get in Touch marketing@innominds.com India Office Address Survey No.115, Waverock, TSIIC IT ITES SEZ , Nanakramguda, Hyderabad - 500008 Follow Us

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