Events

Improving the future of pharma

At BASE life science we are passionate about our work. We have extensive knowledge of the pharma industry and of how to solve the issues that emerge in this sector. Our services span the entire pharma value chain and include state-of-the-art technical solutions such as artificial intelligence and analytics. Therefore, we see it as an obligation to share insights and knowledge that may improve the future of pharma.

Throughout the year, we host a variety of events ranging from our popular BASE Academy workshops such as “All About Pharma” to inhouse events related to the work we do in our Practice Areas.

Upcoming events
Analytics in life science, 17 January 2019 (16.30-18)

Articifial Intelligence and Analytics are the current buzz words in the world pharma, but only very few companies have concrete experience and solid cases within life science. One of these companies is BASE life science, and we want to share our insights with you.

On 17 January 2019 from 16:30 – 18, BASE will host an After Hours session on Artificial Intelligence and Analytics, presented by Senior Consultant Tobias Harlang and Consultant Kasper Skov Kjær. The session will touch upon the key aspects of AI and Analytics and you will be presented with a concrete customer case regarding nonconformities and how to eliminate them using AI and analytics.

Sign up for the Analytics After Hours session here:

Duration

16:30 - 18
All About Pharma - one day workshop, 1 February 2019

Boost your understanding of the pharmaceutical industry. Connect the dots from: Trends in Life Science, Research and Development, Production and Supply Chain, and Sales and Marketing.

After completing the module, you will have gained substantial knowledge of the dynamics and success drivers in the pharma industry and a platform to improve your professional performance.

Price: DKK 5,000

For more information, please download this PDF.

Sign up: All About Pharma – 1 February 2019

All About Pharma - one day workshop, 3 May 2019

Boost your understanding of the pharmaceutical industry. Connect the dots from: Trends in Life Science, Research and Development, Production and Supply Chain, and Sales and Marketing.

After completing the module, you will have gained substantial knowledge of the dynamics and success drivers in the pharma industry and a platform to improve your professional performance.

Price: DKK 5,000

For more information, please download this PDF.

Sign up: All About Pharma – 3 May 2019

17 January 2019, BASE life science is hosting an event on analytics and artificial intelligence. Curious?
Read the case study as a teaser.

Analytics in life science - Case study

Non-conformities in a GxP environment

Articifial Intelligence (AI) is one of the hottest topics in the IT-industry and all around the globe, companies are reacting to the hype. But the life science industry is still lacking behind. Only a few companies have actual real-life experience with solving life science related problems using AI and Analytics. To accommodate the lack of AI in the life science industry, BASE life science has dedicated a Practice Area to solving emerging issues using Artificial Intelligence for the purpose of gaining valuable business insights.

Customer issue: A prolonged and misleading process

One example is the case study of non-conformities. In this specific case, a life science customer was facing an issue regarding non-conformities in a GxP environment. In this case, a non-conformity is a deviation from the “good practice” quality guidelines, and the consequence can, in worst case, be very serious. The customer was experiencing that their employees were spending an excessive amount of time on reporting and often, the non-conformities were either assigned to the wrong process or to none at all. To mitigate the issue, the customer contacted BASE to see if Artificial Intelligence could be applied.

The first thing the team of BASE consultants did was to investigate if clusters could be used to map non-conformities to corresponding processes. The initial research showed that only 48% of all non-conformities were correctly assigned by the employees in the first place.
By using Artificial Intelligence, BASE found that the remaining 52% of non-conformities, 44% could be properly reassigned using Natural Language Processing and Machine Learning, two subcategories of Artificial Intelligence. In practice, this was done by building an algorithm that could “read” all the non-conformities and cluster them into groups by similarity.

Artificial Intelligence increased efficiency for the customer

The end result was quite impressive. A staggering 92% of all non-conformities could be assigned to the correct process by using Artificial Intelligence. As a result of this, the customer asked BASE to implement the algorithm into their production environment, which is currently ongoing. Once completed, the customer will be able to reduce the time spent on reporting non-conformities and significantly increase data quality. For BASE, the case of non-conformities was an exciting study, as it is a great example of how AI can be used to obtain key business knowledge from large sets of unstructured data.

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