As artificial intelligence models continue to evolve at ever-increasing speed, the demand for training data and the ability to test capabilities grows alongside them. But in a world with equally ...

AI and ML algorithms rely heavily on vast data for training and development. However, the availability of high-quality, diverse, and secure data can be a significant challenge. In fact, upon not being ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now AI is facing several critical challenges.

Hospitals and health systems traditionally have experienced significant challenges in finding insights from data at scale, because their data universes are so complicated. A standard health system has ...

Global tech executives are racing to deploy autonomous agents over the next two years, but in doing so they face a balancing act: How do you leverage data in a way that maximizes trust and confidence ...

As AI becomes more common and decisions more data-driven, a new(ish) form of information is on the rise: synthetic data. And some proponents say it promises more privacy and other vital benefits. Data ...

PhD, MBA, CTO at John Snow Labs. Making AI & NLP solve real-world problems in healthcare, life science and related fields. Artificial intelligence (AI) and machine learning applications are widely ...

Synthetic data could impact privacy models, automation for video, audio and display ads, AI for customer service, product development and training. For digital marketing leaders struggling to execute ...

Update: HIMSS20 has been canceled due to the coronavirus. Read more here. Cost data is crucial in order to enable a consumer revolution in healthcare. Synthetic data is a tool that potentially can ...