Heard the buzz about the many benefits of AI, but curious about how it actually delivers? Here are 15 remarkable applications of how companies used AI to transform their business.
Make the best use of data to improve customers’ lives and also establish and maintain market leadership.
Helping life sciences get the most out of useful data
With AI and machine learning, life sciences companies are empowered to make use of all the data available to them – from research to clinical trials, the production line and customers themselves. RapidMiner’s leading data science platform helps life sciences organizations around the world improve their customers’ lives, and establish and maintain market leadership.
Life Sciences Industry Use Cases
Why AI Now?
Just as the life sciences are transforming lives, the industry itself is being transformed. Competition from new start-ups and shifting regulations are creating pressure to conduct R&D and clinical trials faster, but also with more transparency and precision.
The growing levels of investment needed for successful product development and production is reducing room for error and driving a need for more certainty in every step on the path to revenue. At the same time, the growing volume of data available for research and analysis represents incredible opportunity to find new cures and exciting innovations faster than ever.
Data science can better equip life sciences companies to make the best possible use of data.
MULTINATIONAL LIFE SCIENCES COMPANYLearn how AI is helping a large group of people index and collaborate more efficiently over a massive body of text to save millions in costs.
MULTINATIONAL PHARMACEUTICAL FIRMYou don’t need to have 1000s of SKUs with expensive shelf-stability implications in order to benefit from more accurate and precise forecasting methodologies. Learn how this firm used AI to reduce product waste and carrying costs.
What Our Customers Say
RapidMiner really democratizes data science for citizen developers. In the past, I had experiences with some other data science platforms which were fragmented and not fun to use. RapidMiner; however, provides one platform for all stages of data science projects and all components work seamlessly with each other. The 'making it connected and work' hassle is no longer there, thanks to RapidMiner's integrated solution.
We started using RapidMiner Studio and AI Hub about 3-4 months ago. We wanted an end-to-end data science platform that could easily be configured with our legacy source data systems, as well as easy direct connections to external data sources—in addition, a product with a variety of supervised learning models which allow us to quickly iterate. RapidMiner has been excellent in that aspect.
RapidMiner demonstrated to be a very useful and effective tool. In addition to that, the training and support offered was outstanding, covering a variety of projects and different types of trainees. It is clearly the correct partnership to drive us on this data science journey.
RapidMiner Studio is an awesome tool! It really speeds up the data exploration process and provides a firm foundation for building machine learning models. The support staff is excellent! They really helped me and my team build and prove out our use case to put into production. They also helped us integrate seamlessly with Tableau, which was critical for our user group. Overall, would highly recommend the tool to anyone who is looking at taking their predictive analytics/machine learning capabilities to the next level.
Gartner Peer Insights reviews constitute the subjective opinions of individual end users based on their own experiences, and do not represent the views of Gartner or its affiliates.
Thinking about what digital transformation means for your organization? This study conducted by Forrester Consulting outlines how organizations are achieving success and planning for the future.
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