An introduction to drift in Machine Learning

Augmented decision intelligence + limitless cloud scale = pharma’s success playbook

Cloud technologies have now become a must in the pharmaceutical industry. Leading life-sciences companies are discovering the potency of cloud data in enabling analytics, shrinking innovation cycles, and standardizing processes across global operations, among other benefits. For example, Moderna delivered its first clinical batch of its COVID-19 vaccine candidate to the US National Institutes of Health for Phase I trial only 42 days after the initial sequencing of the virus by using cloud technology.

Data lake, data mesh, or something else?

Zhamak Dehghani coined the term data mesh in 2019. Since this data transformation, the internet started flooding with information about its advantages and all the problems it would solve. Many articles compare data lake with data mesh. 

Lumin + Snowflake - Empowering decision makers in the Pharma value chain

Brand analytics is crucial for any Pharma manufacturer’s success. During the drug research and development phase, Pharma manufacturers spend millions of dollars, and consume 10-15 years to bring much needed drugs to the market, with only 7-12 years of patented time available.

Understanding the synergy between Augmented Analytics, Decision Intelligence, and Gen AI

As we delve into the current state of the analytics industry, one cannot overlook the transformative power of Augmented Analytics. Gartner's description of Augmented Analytics involves leveraging advanced technologies like Machine Learning and Artificial Intelligence to aid in data preparation, the generation of insights, and the explanation of those insights.