Discovering impact through data: Our interns’ journey with Data for Good
Data drives decision-making, innovation, and growth; however, it can also spark meaningful change. SAS interns experienced this through a “data for good” project with Social
Exploring AI in tattooing: Is it helping or hurting the art?
Can tattooing’s artistry survive the emergence of generative AI (GenAI) innovation? And what lessons does this hold for other industries navigating the blend of creativity
Connection points: Decisioning across the enterprise
Many scientists compare the universe to a network of tiny vibrating strings, smaller than subatomic particles. String theory suggests that these strings, as they twist
Learn how to prevent data leakage in your large language models
What happens if an employee unknowingly enters sensitive information into a public large language model (LLM)? Could that information then be leaked to other users
Magnesium: the vital mineral you likely need more of
Magnesium is the fourth most abundant element in the human body. This mineral plays a crucial role in well over 300 enzymatic reactions in the
F(AI)lure is inevitable but learning is priceless
Failure accompanies all technological breakthroughs – the wheel, manned flight, the internet. AI is no exception. I know insurance companies are using AI – SAS
The future of insurance talent rests on AI
AI democratization has gained dizzying momentum, with technology laypeople having easy access to incredibly powerful tools. As of October 2024, Microsoft Copilot had an estimated
Modern governments will use AI for a smarter future workforce
The critical link between skills, AI and productivity Fifteen years ago, I would not have believed that my office would be phone-free or that meetings
Digital sovereignty: The new age of national defense
Building a digital fortress with modern data management In an era where stone walls and moats are relics of the past, the battleground has shifted
Working with synthetic data? Ask these 6 questions first
Synthetic data has emerged as a powerful tool for overcoming the limitations of real-world data. The future holds great promise for accelerated innovation. With synthetic
