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AI in Pharma Adoption, Part 4: Three Real Use Cases of AI Implementation in Pharma – NOT Science Fiction!

By Toni Manzano (Aizon), Mario Stassen (Stassen Pharmaconsult BV), William Whitford (DPS Group) and AIO Team In our last blog entry, we discussed the whats and whys around artificial intelligence (AI) transforming manufacturing. This entry sheds light upon some of the hows in anonymized accounts of real-life implementations. AI can present opportunities to improve production … Read More

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AI in Pharma Adoption, Part 3: AI is Transforming Manufacturing—The Hows and Whys

By Toni Manzano (Aizon), Mario Stassen (Stassen Pharmaconsult BV), William Whitford (DPS Group) and AIO Team Artificial Intelligence (AI)-supported real-time monitoring and advanced data techniques provide many benefits in modern manufacturing operations. These include maintaining materials inventory, troubleshooting production bottlenecks, maintaining instruments in operating order, avoiding product quality excursions, understanding scrap rates, meeting promised delivery … Read More

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AI in Pharma Adoption, Part 2: “Good AI Begins With Good Data”

By Toni Manzano (Aizon), Mario Stassen (Stassen Pharmaconsult BV), William Whitford (DPS Group) and AIO Team Having data of quality is the first step in the Artificial Intelligence (AI)/ Machine Learning (ML) journey to get reliable models and valuable AI/ML outputs. There are many issues regarding data quality that can affect the design of the … Read More