It’s easier than ever to use AI-generated images or text and to create synthetic data for use in research. A recent high-profile story got me thinking more about this question: When is it OK to use “fake” data? Before we dive into this, I’m putting “fake” in quotes because I’m taking a wide perspective on […]
5 Data Management Trends Data Practitioners and CIOs Should Know in 2024 and 2025
Data has always been a driving factor for organizations. Over the past decade, the value of data has increased exponentially. Organizations across all categories and sizes (MNCs and SMEs) have started making critical business decisions based on insights gathered from collected data. The data, most commonly referred to as historical data, is collected over sufficient […]
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 […]
What Is Synthetic Data?
Synthetic data refers to any dataset that is generated artificially. Most datasets are generated based on research, use cases, or other activity. In the case of synthetically generated data, datasets are instead developed in a way that replicates real datasets, so that they can act as supporting information during model training or testing processes. Gartner predicts […]
11 Enterprise AI Trends to Know
AI adoption continues to expand across the globe, with Gartner predicting that organizations over the next five years will “adopt cutting-edge techniques for smarter, reliable, responsible and environmentally sustainable artificial intelligence applications.” And as the industry matures and machine learning (ML) models become cheaper, faster, and more accessible, every enterprise will be looking at how and where the technology may […]
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 […]
3 Ways AI Engineering Can Help Drive Broader Adoption
There is no shortage of hype about AI’s potential. But to truly realize that value, we must deploy it in the field repeatedly and reliably in an ever-changing world – and therein lies the challenge. For AI to work sooner, better, and faster, organizations must operationalize more AI programs so they can start collecting and learning […]
The Application of Synthetic Data Is Inevitable
Synthetic data is at an inflection point of utilization. The emerging technology is just beginning its adoption cycle and value to the enterprise, but change is on the horizon. According to my company’s recent survey, industry leaders believe that, on average, 59% of their industry will utilize synthetic data in five years, either independently or in combination with […]
Why Synthetic Data Still Has a Data Quality Problem
According to Gartner, 85% of Data Science projects fail (and are predicted to do so through 2022). I suspect the failure rates are even higher, as more and more organizations today are trying to utilize the power of data to improve their services or create new revenue streams. Not having the “right” data continues to prevent […]
The Pros and Cons of Synthetic Data
Data has established itself as one of the most important elements in both business and science. With the advent of big data services, companies can get access to previously unattainable advanced analytics, and researchers can find almost any imaginable dataset to draw insights from. However, all this potential is hindered by ever-pressing data privacy regulations. This is why […]