Tag: Centric

Data-Centric Security in Software Defined Networks (SDN)


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English | 2024 | ISBN: 3031555163 | 137 Pages | PDF EPUB (True) | 9 MB
The book focuses on applying the data-centric security (DCS) concept and leveraging the unique capabilities of software-defined networks (SDN) to improve the security and resilience of corporate and government information systems used to process critical information and implement business processes requiring special protection. As organisations increasingly rely on information technology, cyber threats to data and infrastructure can significantly affect their operations and adversely impact critical business processes. Appropriate authentication, authorisation, monitoring, and response measures must be implemented within the perimeter of the system to protect against adversaries. However, sophisticated attackers can compromise the perimeter defences and even remain in the system for a prolonged time without the owner being aware of these facts. Therefore, new security paradigms such as Zero Trust and DCS aimto provide defence under the assumption that the boundary protections will be breached.

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Data-Centric Artificial Intelligence for Multidisciplinary Applications


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English | 2024 | ISBN: 1032610069 | 309 Pages | PDF (True) | 19 MB
This book explores the need for a data‑centric AI approach and its application in the multidisciplinary domain, compared to a model‑centric approach. It examines the methodologies for data‑centric approaches, the use of data‑centric approaches in different domains, the need for edge AI and how it differs from cloud‑based AI. It discusses the new category of AI technology, "data‑centric AI" (DCAI), which focuses on comprehending, utilizing, and reaching conclusions from data. By adding machine learning and big data analytics tools, data‑centric AI modifies this by enabling it to learn from data rather than depending on algorithms. It can therefore make wiser choices and deliver more precise outcomes. Additionally, it has the potential to be significantly more scalable than conventional AI methods.

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Data-Centric AI Best Practices, Responsible AI, and More


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Released 1/2024
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 2h 50m | Size: 321 MB
Machine learning typically focuses on producing effective models for a given dataset. In real-world applications, data is messy and improving models is not the only way to get better performance. Data-centric AI (DCAI) is an emerging science that studies techniques to improve datasets, which is often the best way to improve performance in practical ML applications. While data scientists have long practiced this manually via ad hoc trial/error and intuition, DCAI considers the improvement of data as a systematic engineering discipline. In this course, Aishwarya Srinivasan covers the data-centric principles that guide our path forward in this new age of AI as we shift from a model-centric approach to a data-centric paradigm. Learn about DCAI-what it is and the value it offers. Aishwarya covers the DCAI workflow; MLOps as part of DCAI; data validation and preprocessing; model validation; bias detection and mitigation; responsible AI; and more.

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Agriculture-Centric Computation First International Conference, ICA 2023, Chandigarh, India, May 11-13, 2023, Revised S


Free Download Mukesh Kumar Saini, "Agriculture-Centric Computation: First International Conference, ICA 2023, Chandigarh, India, May 11-13, 2023, Revised S"
English | ISBN: 3031436040 | 2023 | 268 pages | PDF | 35 MB
This book constitutes revised selected papers from the First International Conference on Agriculture-Centric Computation, ICA 2023, held in Chandigarh, India, in May 2023.

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The Experience-Centric Organization How to Win Through Customer Experience


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English | August 20, 2019 | ISBN: 1492045772 | True PDF | 266 pages | 19.8 MB
Is your organization prepared for the next paradigm of customer experience, or will you be left behind? This practical book will make you a winner in a market driven by experience, enabling you to develop desirable offerings and standout service to attract loyal customers.

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Servitization Strategy Delivering Customer-Centric Outcomes Through Business Model Innovation


Free Download Servitization Strategy: Delivering Customer-Centric Outcomes Through Business Model Innovation by Tim Baines , Ali Ziaee Bigdeli , Kawal Kapoor
English | PDF EPUB (True) | 2024 | 250 Pages | ISBN : 3031454286 | 13.1 MB
Competing through advanced services involves offering products-as-a-service, delivering outcomes for customers, and regularly earning revenue when customers get the results they value. This strategic move towards delivering outcomes can present many challenges for a firm. Part of the Palgrave Executive Essentials series, this book introduces outcome-based business models as Advanced Services Business Models and provides a practical guide on how a firm can innovate these services through a process known as servitization.

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Customer Centric Support Services in the Digital Age The Next Frontier of Competitive Advantage


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English | 2024 | ISBN: 3031370961 | 389 Pages | PDF EPUB (True) | 7.4 MB
Given the pace of digitization and the rise in customer expectations post-pandemic, organizations must focus on customer-centricity in all functions in the digital age, providing factors, enablers, and processes for customer service and sharing best practices based on research from global experts.

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