OpenText Information Management
AUGUST 4, 2022
Government agencies around the world, including the US Food and Drug Administration (FDA), use current Good Manufacturing Practices (cGMP) as the primary way to ensure pharmaceutical quality.
Data Matters
SEPTEMBER 20, 2021
The National Association of Insurance Commissioners (NAIC) held its Summer 2021 National Meeting (Summer Meeting) August 14-17, 2021. This post summarizes the highlights from this meeting in addition to interim meetings that were held during July in lieu of taking place during the Summer Meeting.
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Data Matters
SEPTEMBER 3, 2020
The National Association of Insurance Commissioners (NAIC) held its Summer 2020 National Meeting (Summer Meeting) from July 27 to August 14, 2020. As a result of the COVID-19 pandemic, the NAIC held the Summer Meeting in a virtual format, with conference calls taking place over a three-week period. Revisions to SSAP No.
Data Matters
AUGUST 24, 2018
The National Association of Insurance Commissioners (NAIC) held its Summer 2018 National Meeting in Boston, Massachusetts, from August 4 to 7, 2018. This post summarizes the highlights from this meeting. At the Summer Meeting, the Working Group agreed to expose the Trades Letter for a 45-day comment period.
IBM Big Data Hub
AUGUST 7, 2023
Despite advancements in the pharmaceutical industry and biomedical research, delivering drugs to market is still a complex process with tremendous opportunity for improvement. The ability to seize these advantages is one way that pharmaceutical companies may be able to gain sizable competitive edge.
erwin
MARCH 8, 2021
Meet Libby McNairy … . We had the opportunity to meet with Libby and ask her a few questions about her #ChoosetoChallenge commitments and passion for women in tech. I recently started working with pharmaceutical company Alkermes where I am assisting with the startup of a data governance program for the commercial organization.
erwin
MARCH 12, 2020
EA has re-emerged to help solve compliance challenges in banking and finance plus drive innovation with artificial intelligence (AI), machine learning (ML) and robotic automation in pharmaceuticals. An EA solution should be agile enough to meet both short-term and long-term needs. Yesterday’s use case may not serve tomorrow’s use case.
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