Data decay: One reason insurers should value synthetic data
As data decays, it becomes less useful. See how synthetic data for insurance can help.
Tag: synthetic data
Outside of the norm: Spot rare event fraud with data and AI
Fairness, transparency, integrity and competition are essential for managing public funds. We rely on departments to choose the best value from the private sector. Efficient public procurement improves services, infrastructure, and the economy. It must also be accountable to the public by protecting financial loss from fraud, waste, abuse, and
Racing to succeed with GenAI: Key takeaways for insurers
Insurers are racing to adopt GenAI, despite concerns. See where the industry is headed.
The new data frontier: Next-generation AI technologies and synthetic data
Data scarcity, privacy and bias are just a few reasons why synthetic data is becoming increasingly important. In this Q&A, Brett Wujek, Senior Manager of Product Strategy at SAS, explains why synthetic data will redefine data management and speed up the production of AI and machine learning models while cutting
Marketers tap AI for synthetic data generation
Synthetic data generation, as its name suggests, is one component of generative AI. With this technology, marketers can generate artificial data sets that share the attributes and characteristics of real customer data. As marketers continue to expand their use of both traditional AI and GenAI, synthetic data generation reduces the
Critical areas for productivity gains with data and AI
AI is no longer a futuristic concept – it’s a mainstay in our daily lives, both personally and professionally. In the business world, AI is revolutionizing workflows, driving efficiency and speeding up processes. However, as organizations rush to benefit from this modern technology, they must prioritize the ethical and transparent
9 truths you should know about GenAI before jumping in
Before rushing to invest in generative AI (GenAI), organizations must pause and take a step back. GenAI is powerful and has shown potential to revolutionize multiple industries – but it’s not a silver bullet. Now that we’ve finally gotten past the hype phase, it’s time to look at the realities
AI at work: Reducing risks and saving lives on the job
AI is at its best when it is used to enhance productivity and improve the lives of those it affects. When used correctly, AI can also save lives. That’s the vision driving a new project at SAS, where applied AI models and cameras create a simulated work environment focused on
How insurance companies can use synthetic data to fight bias
Stop bias in its tracks – learn about the value of synthetic data for insurance.
3 benefits to creating synthetic data with SAS and Snowflake
Synthetic data generation has intrigued across industries for its many use cases, including fraud detection, clinical trials, worker safety and law enforcement. One of the main benefits is the low cost of creating synthetic data, which is often cheaper than collecting actual demographic, psychographic or behavior-based information. With such data,