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The Rise of RAG-Based LLMs in 2024

As we step into 2024, one trend stands out prominently on the horizon: the rise of retrieval-augmented generation (RAG) models in the realm of large language models (LLMs). In the wake of challenges posed by hallucinations and training limitations, RAG-based LLMs are emerging as a promising solution that could reshape how enterprises handle data. The surge […]

Four Perspectives on the Art of Data Analytics

As data science professionals, we are often viewed as people who draw conclusions based only on data and minimize other factors. This perception usually becomes contentious when the insights and evidence from the data are inconsistent with somebody else’s “hypothesis.” Or we are confused and maybe frustrated when “qualitative” analysis trumps quantitative analysis. The next time […]

Unleashing the Power of AI in Life Sciences

The life sciences industry is generating an increasing number of data points a day. While this data is essential to helping organizations make insight-informed decisions about critical operations, such as in clinical trial development, it is also proving to be a complex and daunting task, taking a significant toll on sponsors and clinical sites. In their quest […]

Balancing Act: The Value of Human Expertise in the Age of Generative AI

Humans are considered the weakest link in the enterprise when it comes to security. Rightfully so, as upwards of 95% of cybersecurity incidents are caused by human error. Humans are fickle, fallible, and unpredictable, making them easy targets for cybercriminals looking to gain entry to organizations’ systems.   This makes our reliance on machines that much more important. […]