Aizon

Leverage artificial intelligence (AI) for a more streamlined GMP manufacturing process.

In pursuit of increased competitiveness and bottom-line impact, pharmaceutical manufacturers face increasing pressure to fast-track technological innovation while maintaining regulatory compliance. This e-book explores how Artificial Intelligence (AI) can unlock new levels of insights into what is causing variation in processes that can wreak havoc on your drug manufacturing performance. Learn how to use AI so you can improve your manufacturing operations in GxP environments that are capable of delivering real returns on Pharma 4.0 technology initiatives.

This case study shares why a leading biotech company reached out to Aizon to identify how artificial intelligence (AI) could be used to further optimize yield. The team was able to analyze five years of historical batch data to discover a direct correlation between hold up volume and time between process operations as well as generating millions of additional recovered revenue.

Real-world examples that demonstrate the value of using AI in GxP compliant manufacturing environments.

As organizations seek to identify areas where technology can make the most impact, a look at some real-world examples of how artificial intelligence (AI) and machine learning (ML) are being used in highly regulated environments can offer valuable insight.

Webinar Date/Time: Tue, Dec 13, 2022 9:00 AM EST

This white paper highlights Pharma’s data integrity challenge and its impact on manufacturing, and proposes solutions for Pharma’s successful digital transformation journey.

Providing CDMOs Transparency and Control for the Competitive Edge

This paper explores a Quality by Design (QbD) approach to applying Artificial Intelligence (AI) in pharma manufacturing, and demonstrates how to leverage third party platforms to qualify AI algorithms for pharmaceutical product and medical device productivity chains.

CPV will soon become a necessity in pharmaceutical manufacturing, if companies wish to retain a competitive advantage. This paper explores how to embed it into existing production processes to optimize the increasingly pervasive continuous manufacturing ecosystem of today

Multinational Biopharmaceutical Company Reduces Number of Downstream Ultrafiltration Recirculations via Predictive Analytics

Learn about how Aizon’s AI Consulting specializes in bringing innovative application of AI to bear as part of each customer’s journey of digital transformation.

Read this case study on a large global biotechnology company that was looking to explore predictive models to improve the yield of their downstream bioprocess using historical data.

Thursday April 28, 2022 at 11am ET | 10am CT | 8am PT In this new video series, Drug Digest, the Pharmaceutical Technology editors examine the topic of emerging therapies in more detail, covering subjects such as the challenges of scale, the potential benefits of drug delivery innovation, importance of early analytical studies, the evolution of the regulatory landscape, and differences between regional regulatory requirements. Join the editors as they speak with experts from Regulatory Compliance Associates (RCA), the European Confederation of Pharmaceutical Entrepreneurs (EUCOPE), and others.

Tuesday, April, 19, 2022 at 11am EDT | 8am PDT | 4pm BST | 5pm CEST Be assured they have the most uptime possible to keep production on track! Register for this webinar to learn how advanced technologies can help ensure complete asset integrity, guarantee optimal facility conditions (such as temperature, humidity, and vibrations), predict the expected lifespan of equipment and track the energy an asset has consumed and its CO2 emissions.

Monday, February, 28, 2022 at 9am EST | 8am CST | 6am PST Realizing benefits from Smart Manufacturing technologies doesn’t have to be long-term prospect. Solve today’s manufacturing challenges while laying the foundation for tomorrow’s plant.

Effectively adopt and integrate CPV into existing production processes to optimize the increasingly pervasive continuous manufacturing ecosystem.

Monday December 20, 2021 at 11am EST | 10am CST | 8am PST Pharmaceutical manufacturers are under increasing pressure to fast-track technological innovation while remaining compliant. What are the correct steps to reaching operational intelligence with end-to-end data integrity?

This paper explores the most important data challenges experienced by the rapidly modernizing pharmaceutical industry and proposes a GxP-compliant, ready-made application as a solution designed to increase efficiency in upstream processes, while maintaining data integrity and compliance.

Monday, August 23, 2021 at 2pm EDT | 1pm CDT | 11am PDT What do Plato, Roombas, and digital twins for pharma manufacturing have in common? Learn how digital twins, powered by artificial intellingence, can reproduce conditions happening in physical assets to identify and optimize manufacturing process variables, predict outcomes, and empower to bio/pharma companies take action.

Artificial Intelligence (AI) is changing how biotech and pharmaceutical companies operate. Increased competition and an enhanced regulatory landscape are forcing drug manufacturers to eliminate waste, create efficiencies and squeeze every last bit of productivity out of existing processes. The benefits can be enormous. A three percent increase in usable yield could increase revenue by millions of dollars. Pharma organizations that take advantage of AI/ML in GxP environments get better visibility into their manufacturing operations and can thereby optimize yields and predict anomalies thereby providing more to the market. We’ll explore where the industry is in its adoption of AI, what the challenges are in implementation that keep the pharma industry behind other industries, and explore case studies of those intrepid organizations who have worked through the challenges to implement and reap the benefits.