Products related to Privacy:
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Privacy-preserving Computing : for Big Data Analytics and AI
Privacy-preserving computing aims to protect the personal information of users while capitalizing on the possibilities unlocked by big data.This practical introduction for students, researchers, and industry practitioners is the first cohesive and systematic presentation of the field's advances over four decades.The book shows how to use privacy-preserving computing in real-world problems in data analytics and AI, and includes applications in statistics, database queries, and machine learning.The book begins by introducing cryptographic techniques such as secret sharing, homomorphic encryption, and oblivious transfer, and then broadens its focus to more widely applicable techniques such as differential privacy, trusted execution environment, and federated learning.The book ends with privacy-preserving computing in practice in areas like finance, online advertising, and healthcare, and finally offers a vision for the future of the field.
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Data Analytics in Marketing, Entrepreneurship, and Innovation
Innovation based in data analytics is a contemporary approach to developing empirically supported advances that encourage entrepreneurial activity inspired by novel marketing inferences.Data Analytics in Marketing, Entrepreneurship, and Innovation covers techniques, processes, models, tools, and practices for creating business opportunities through data analytics.It features case studies that provide realistic examples of applications.This multifaceted examination of data analytics looks at: Business analyticsApplying predictive analytics Using discrete choice analysis for decision-making Marketing and customer analyticsDeveloping new productsTechnopreneurshipDisruptive versus incremental innovationThe book gives researchers and practitioners insight into how data analytics is used in the areas of innovation, entrepreneurship, and marketing.Innovation analytics helps identify opportunities to develop new products and services, and improve existing methods of product manufacturing and service delivery.Entrepreneurial analytics facilitates the transformation of innovative ideas into strategy and helps entrepreneurs make critical decisions based on data-driven techniques.Marketing analytics is used in collecting, managing, assessing, and analyzing marketing data to predict trends, investigate customer preferences, and launch campaigns.
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Practical Data Privacy : Enhancing Privacy and Security in Data
Between major privacy regulations like the GDPR and CCPA and expensive and notorious data breaches, there has never been so much pressure for data scientists to ensure data privacy.Unfortunately, integrating privacy into your data science workflow is still complicated.This essential guide will give you solid advice and best practices on breakthrough privacy-enhancing technologies such as encrypted learning and differential privacy--as well as a look at emerging technologies and techniques in the field. Practical Data Privacy answers important questions such as:What do privacy regulations like GDPR and CCPA mean for my project?What does "anonymized data" really mean?Should I anonymize the data?If so, how?Which privacy techniques fit my project and how do I incorporate them?What are the differences and similarities between privacy-preserving technologies and methods?How do I utilize an open-source library for a privacy-enhancing technique?How do I ensure that my projects are secure by default and private by design?How do I create a plan for internal policies or a specific data project that incorporates privacy and security from the start?
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On Privacy and Technology
Succinct and eloquent, On Privacy and Technology is an essential primer on how to face the threats to privacy in today's age of digital technologies and AI. With the rapid rise of new digital technologies and artificial intelligence, is privacy dead?Can anything be done to save us from a dystopian world without privacy?In this short and accessible book, internationally renowned privacy expert Daniel J.Solove draws from a range of fields, from law to philosophy to the humanities, to illustrate the profound changes technology is wreaking upon our privacy, why they matter, and what can be done about them.Solove provides incisive examinations of key concepts in the digital sphere, including control, manipulation, harm, automation, reputation, consent, prediction, inference, and many others.Compelling and passionate, On Privacy and Technology teems with powerful insights that will transform the way you think about privacy and technology.
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What is more important, data protection or privacy?
Both data protection and privacy are important, but they serve different purposes. Data protection focuses on safeguarding the information collected and stored by organizations, ensuring it is secure from unauthorized access or breaches. Privacy, on the other hand, is about giving individuals control over their personal information and how it is used. Both are essential for maintaining trust and security in the digital age, and organizations should prioritize both data protection and privacy to ensure the safety and rights of their users.
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Which reseller hosting services offer privacy and data protection?
Many reseller hosting services offer privacy and data protection as part of their packages. Some popular options include SiteGround, Bluehost, and A2 Hosting. These providers offer features such as SSL certificates, regular backups, and secure data centers to ensure the privacy and protection of customer data. It's important to carefully review the privacy and security features offered by each reseller hosting service to ensure they meet your specific needs.
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How do you protect your privacy and personal data?
I protect my privacy and personal data by being mindful of what information I share online and with whom. I regularly review and update my privacy settings on social media platforms and other online accounts to control who can access my personal information. I also use strong, unique passwords for each of my accounts and enable two-factor authentication whenever possible. Additionally, I am cautious about the websites I visit and the links I click on to avoid potential phishing scams or malware that could compromise my personal data.
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What is privacy?
Privacy is the ability of an individual to control the access to their personal information and activities. It involves the right to keep certain aspects of one's life confidential and to limit the intrusion of others into their personal space. Privacy is essential for maintaining autonomy, dignity, and security in both physical and digital environments. It is a fundamental human right that is protected by laws and regulations in many countries.
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Data and Analytics Strategy for Business : Unlock Data Assets and Increase Innovation with a Results-Driven Data Strategy
For many organizations data is a by-product, but for the smarter ones it is the heartbeat of their business.Most businesses have a wealth of data buried in their systems which, if used effectively, could increase revenue, reduce costs and risk and improve customer satisfaction and employee experience.Beginning with how to choose projects which reflect your organization's goals and how to make the business case for investing in data, this book then takes the reader through the five 'waves' of organizational data maturity.It takes the reader from getting started on the data journey with some quick wins, to how data can help your business become a leading innovator which systematically outperforms competitors. Data and Analytics Strategy for Business outlines how to build consistent, high-quality sources of data which will create business value and explores how automation, AI and machine learning can improve performance and decision making.Filled with real-world examples and case studies, this book is a stage-by-stage guide to designing and implementing a results-driven data strategy.
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Social Data Analytics
This book is an introduction to social data analytics along with its challenges and opportunities in the age of Big Data and Artificial Intelligence.It focuses primarily on concepts, techniques and methods for organizing, curating, processing, analyzing, and visualizing big social data: from text to image and video analytics.It provides novel techniques in storytelling with social data to facilitate the knowledge and fact discovery.The book covers a large body of knowledge that will help practitioners and researchers in understanding the underlying concepts, problems, methods, tools and techniques involved in modern social data analytics.It also provides real-world applications of social data analytics, including: Sales and Marketing, Influence Maximization, Situational Awareness, customer success and Segmentation, and performance analysis of the industry.It provides a deep knowledge in social data analytics by comprehensively classifying the current state of research, by describing in-depth techniques and methods, and by highlighting future research directions.Lecturers will find a wealth of material to choose from for a variety of courses, ranging from undergraduate courses in data science to graduate courses in data analytics.
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Big Data Analytics
Big Data Analytics is intended for use as a textbook for third- and fourth-year students of B.E., B.Tech., B.Sc., BCA, MCA, and M.Tech. courses in IT, Software, and Computer Science Engineering.The book has been written to help students who enter the software industry to gain a broad understanding of Big Data and the nuances of handling it to extract useful information.Spread across 21 chapters, it elucidates the concept of Big Data and walks the reader through popular frameworks such as Hadoop, MongoDB, Pig and Hive that are used for processing Big Data.
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Business Models : Innovation, Digital Transformation, and Analytics
Since the beginning of time, running a business has involved using logic by which the business operates.This logic is called the business model in management science, which increasingly is focusing on issues surrounding business models.Research trends related to business models include value creation, value chain operationalization, and social and ecological aspects, as well as innovation and digital transformation.Business Models: Innovation, Digital Transformation, and Analytics examines how innovation, digital transformation, and the composition of value affect the existence and development of business models.The book starts by addressing the conceptual development of business models and by discussing the essence of innovation in those models.Chapters in the book investigate how: Business models can analyze digital transformation scenarios Individual business model elements effect selected performance measures as well as how the elements are significant for the enterprise value composition The environment effects the profitability of the high-growth enterprise business models Employer branding business models are perceived by the generation Z workforce To implement responsible business models in the enterprise Cyber risk is captured in business models Decision algorithms are important to business analyticsThis book is a compendium of knowledge about the use of business models in the context of innovative activities, digital transformation, and value composition.It attempts to combine the theory and practice and offers a look at business models currently used in companies, especially high-growth enterprises, in various countries of the world and indicates the prospects for their development.
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How about privacy?
Privacy is an important consideration when it comes to technology and AI. It's crucial for companies and developers to prioritize the protection of user data and ensure that privacy is respected. This can be achieved through implementing strong data security measures, obtaining user consent for data collection and usage, and being transparent about how data is being used. Additionally, regulations and laws such as GDPR can help to ensure that privacy rights are upheld in the digital space.
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What do you think about data privacy on the internet?
I believe that data privacy on the internet is a critical issue that needs to be addressed. With the increasing amount of personal information being shared online, there is a growing concern about how this data is being used and protected. It is important for individuals to have control over their own data and for companies to be transparent about how they collect and use personal information. Strong regulations and ethical practices are necessary to ensure that data privacy is respected and upheld in the digital age.
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What does the data privacy warning on the iPhone mean?
The data privacy warning on the iPhone is a notification that informs users about the potential risks of sharing their personal data with third-party apps or websites. It serves as a reminder for users to be cautious about the information they provide and to be aware of how their data may be used or shared. The warning emphasizes the importance of protecting one's privacy and encourages users to carefully consider the permissions they grant to apps and websites. Overall, the data privacy warning aims to empower users to make informed decisions about their privacy and data security.
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Is there no privacy?
Privacy is a complex and evolving concept in today's digital age. While technology has made it easier for our personal information to be accessed and shared, there are still ways to protect our privacy. By being mindful of what information we share online, using privacy settings on social media platforms, and being cautious about the websites we visit, we can take steps to safeguard our privacy. It is important to be aware of the potential risks and make informed choices about how we share our personal information.
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