Even though the European Union’s General Data Protection Regulation (GDPR) went into effect four years ago and a hundred other countries have adopted stringent data privacy laws, the U.S. is lagging behind without a federal data privacy rights regulation. California has taken the lead at the state level, the first to adopt the California Consumer Privacy Act (CCPA) in 2018, with Virginia […]
Synthetic Data: 4 Use Cases in Modern Enterprises
Synthetic data has emerged as a technological solution for organizations struggling with data access and privacy compliance. As a privacy-enhancing technology, it has grown in popularity over the past years, with new predictions forecasting that by 2024, 60% of data used for AI and data analytics will be synthetic. But what is the reality of synthetic […]
How to Take Advantage of Data Commerce Platforms
In today’s digital world, data has become critical to the success of companies across all industries. The highest-performing organizations utilize data to make better business decisions, generate new revenue streams, and grow faster than their competitors. But getting the exact data they need, and monetizing the data they already have, can be difficult. That’s where […]
What Insurers Need to Know About the Risks of AI and Machine Learning
Artificial intelligence (AI) and machine learning (ML) are continuing to transform the insurance industry. Many companies are already using it to assess underwriting risk, determine pricing, and evaluate claims. But if the proper guardrails and governance are not put into place early, insurers could face legal, regulatory, reputational, operational, and strategic consequences down the road. […]
AI and Data Strategy: Where Do They Intersect?
Artificial Intelligence (AI) has penetrated nearly every industry because of its ability to improve business outcomes – from employee productivity to decision-making to customer experience. It’s no surprise that organizations large and small are embracing AI. That being said, starting AI without a strong Data Strategy in place can do more harm than good. Data Strategy refers […]
The Impact of Data Governance in Cybersecurity
Data is a critical asset that supports operations, drives decision-making, and gives businesses a competitive advantage in the marketplace. Unfortunately, today’s data can also be easily targeted by cybercriminals looking to access and tamper with sensitive information. This is why cybersecurity is increasingly becoming a top strategic priority for enterprises of all sizes. As concerns of cyberattacks […]
Empower Your Third Line of Defense for Effective Data Governance
Data Governance practitioners must incorporate all aspects that bind data to the organization. Internal audit, referred to as the third line of defense against risk, should actually be top of mind for implementing effective governance programs. The “Three Lines of Defense” model is an industry-recognized approach to enterprise risk management. The ultimate goal is to […]
3 Vital Concerns for Companies Running Hybrid-Cloud Environments
The benefits of the cloud – reduced capital expenditures, greater IT flexibility, business efficiency, competitive advantage – are compelling. So much so that, not so long ago, people were predicting organizations would move their entire computing infrastructure to the cloud, and nothing would be left on-premises. It, of course, never happened. Instead, organizations have embraced […]
How Data Automation Is Reshaping Pharma Regulatory Publishing
Pharmaceutical regulators are facing ever-evolving, complex, and stringent requirements for the regulatory approval of new and existing products on the market. What’s more, as technology changes our ability to capture data from more sources, the volume of data in the life sciences sphere is growing exponentially, creating a challenging data analytics paradigm. The key is how to […]
Data Management vs. Data Science
The shift in the business perception of data has now catapulted Data Management into new heights. Data Science is a core component of Data Management now, but Data Management and Data Science are often seen as two different activities. Working among data analysts, data engineers, and DBAs, data scientists spend their time getting the data […]