Smart manufacturing – the use of advanced automation and big data technologies to detect anomalies and optimize yield – is a business imperative in today’s highly competitive, highly regulated pharmaceutical industry. But how can established pharma and biotech companies intelligently implement smart manufacturing strategies that leverage artificial intelligence (AI), machine learning (ML), Internet of Things (IoT) sensors, cloud infrastructure and rich big data analytics tools into their commercial manufacturing processes without disrupting existing workflows? Validated SOPs, GxP compliance and friction with existing tools and workflows make change disruptive for the organization and ripe for risk.
Register for this webinar to hear Aizon’s Lawrence Baisch and Kevin Baughman walk you through how to keep ROI in focus and identify value-based use cases, as well as how to avoid prevalent pitfalls when implementing smart manufacturing strategies and technologies in your commercial manufacturing processes.
Lawrence Baisch, Chief Customer Success Officer, Aizon
As Aizon’s CCSO, Lawrence is responsible for the delivery of solutions that increase the efficiency and effectiveness of our customers’ critical business processes and that provide insight into performance over time.
Lawrence brings over twenty-five years of both domestic and international business expertise in information technology and strategy to Aizon. As a senior executive, he has held responsibility for corporate and IT strategy, IT product development, IT implementation and financial analysis and budgeting. As a founder of Luminous Systems, a software engineering and services firm, he has led the delivery of SaaS solutions to both private and public sector customers. Throughout his career, Lawrence has driven solutions through all phases of the IT life cycle from concept to operations.
Lawrence is actively involved with Habitat for Humanity and The Special Olympics and he serves on the Board of Directors of the San Francisco Senior Center. He holds a B.A. from Michigan State University as well as M.S. and M.B.A. Degrees from Rensselaer Polytechnic Institute.
Kevin Baughman, Data Science Practice Lead, Aizon
Kevin Baughman is a Data Science Practice Lead at Aizon with a passion for problem solving and generating value from data. Kevin attended North Carolina State University for both undergraduate and graduate school where he received two B.S. degrees in Applied Mathematics and Economics as well as a M.S. degree in Advanced Analytics from the Institute for Advanced Analytics.
Kevin has always had a passion for teaching and a knack for explaining complex concepts to a wide array of audiences. He professionally served as a tutor for people from various backgrounds on technical subjects, from the elementary to collegiate level.
This passion for teaching combined with his analytical curiosity launched him into multiple customer facing roles, ultimately ending up as a consultant specializing in data science and solution engineering. As a consultant, Kevin led and managed projects in both the private and public sector for clients in multiple industries, including Banking/Finance, Insurance, Transportation, Healthcare, and Pharmaceutical.
Now at Aizon, Kevin continues to deliver value by working hand-in-hand with customers to co-create, develop, and implement strategic, AI-focused solutions.
Who Should Attend?
This webinar is relevant to an audience of leaders and innovators, working in roles related to:
- Pharma and CDMO Manufacturing and Operations
- Data Science
- Process Engineering
- Digital Transformation/IT
- Pharma 4.0 initiatives
Professionals with the following job titles and responsibilities will benefit from this webinar:
- Executives and Business Line Owners
- CIO, Chief Data Officers
- Management of Pharma Manufacturing
- Digital Transformation Officers
- Leaders of Pharma 4.0 Initiatives
- Quality Assurance Managers
- Production Managers
- Process Experts
- Technical Transfer Leads
- Project Managers
What You Will Learn
In this webinar, participants will learn how to:
- Identify where the highest potential business value ROI is within your pharma commercial manufacturing teams and beyond
- Assemble specific use cases with business and financial justification
- Map-out the high-level phases of a Smart Manufacturing initiative– from pilot to production scale-up– taking into account pitfalls to avoid along the way
- Future-proof the strategy
Aizon is an AI software provider that transforms manufacturing operations with the use of advanced analytics, artificial intelligence, and other smart factory technologies focused on optimizing production within highly regulated industries. The Aizon AI platform seamlessly integrates unlimited sources of structured and unstructured data to deliver actionable insights across all manufacturing sites. Aizon offers an intuitive way to gain meaningful operational intelligence by enabling real-time visibility and predictive insights in a GxP compliant manner with end-to-end data integrity. Connect with us at www.aizon.ai
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