In today’s interconnected world, businesses not only grapple with the management of vast amounts of data but also face the looming threat of illegal data concealed within their digital repositories. This proliferation of illegal data presents a range of risks and challenges that organizations must confront. Illegal data encompasses a broad spectrum of content or […]
Why a Data Diet Can Drive Better Results for Marketers
Advertising has a data problem. Outwardly, marketers enthuse about their ability to target consumers with precision, harnessing a wealth of data to drive them through the sales funnel and towards purchase. With every customer interaction, every ad impression, every dollar of ad spend being collated and turned into a data point, the insights available should […]
Unlock the Power of Data with Unified Data Controls
Artificial intelligence (AI) could boost company productivity by 1.5%, increasing S&P 500 profits by 30% over the next 10 years. The rapid success of generative AI technologies such as ChatGPT is an excellent example of how companies can shape their fortunes by harnessing the power of the data they hold. The insights from data enable businesses across […]
Data Scarcity Challenges? Enter Generative AI
Data has been one of the most important talking points in business for the last few years, with good reason. The more data available and harnessed, the easier it is for companies to do everything from building products that solve real-world problems to enhancing marketing efforts effectively and identifying trends and patterns. Yet, laws and […]
Takeaways for Businesses in the Rapidly Evolving Data Security and Privacy Landscape
As more and more businesses jump into the digital transformation bandwagon by leveraging cutting-edge tools and technologies, data security and privacy challenges have also increased. Even though customer privacy and security may seem interchangeable to most of us, both are distinctly separate yet interrelated concepts. And knowing the exact difference between the two is undoubtedly the need […]
How Automation Is Changing the Compliance Workflow
With over 1.1 trillion MB of data generated daily, you would be hard-pressed to find an industry that isn’t leveraging data and technology to drive organizational success. And for good reason – from real-time decision-making to better generating visibility into operations, data has become an indispensable part of the business world’s intelligence toolbox. That said, some sectors […]
Data Governance and Data Catalogs: Where Do They Intersect?
Data catalogs and Data Governance work together and intersect in some very useful ways. Data catalogs communicate information about an organization’s data assets, and where they are located. Data Governance, on the other hand, deals with the overall management of data, such as accuracy, usability, security, and the established processes the organization uses. Data Governance […]
How Federated Learning Is Helping to Overcome Obstacles in Machine Learning
Federated learning is a machine learning technique that allows multiple parties to train a model without sharing their data. It is being used across several industries, from mobile device keyboards to health care to autonomous vehicles to oil rigs. It is particularly useful in situations where data sharing is limited by regulation, or is sensitive or proprietary, […]
How Data Privacy Regulations Impact Network Security
Network security uses physical and software security solutions to protect network infrastructure from unauthorized access, misuse, failure, alteration, disruption, or unauthorized disclosure of sensitive data. Network security involves implementing security policies, procedures, and tools to prevent unauthorized persons and programs from accessing a network, connected devices, and network traffic. Network security applies to both public […]
What Is Data Integrity?
Data integrity is the totality of a dataset’s validity and consistency over its entire life cycle. In other words, it refers to the correctness and trustworthiness of data. It can be applied to any dataset, from personal information to business records. Data is valid if it contains only correct (accurate) information and can be trusted (reliable). […]