Live Webinar

Unlock How AI/ML can maximize production yield and quality in Pharma manufacturing

Webinar Date & Time: 20th September at 11:30 am

Join us for an insightful webinar on how to harness the power of AI/ML and advanced analytics to enhance production yield and quality in pharmaceutical manufacturing. This session will delve into the use of the SAS analytics platform to generate valuable insights from manufacturing data, including process control, quality control, and Quality Management Systems (QMS). 

Our expert speakers will demonstrate practical applications that highlight the potential of advanced analytics in the pharmaceutical industry. Whether you are involved in production, quality, or data science, this webinar will provide you with the knowledge and tools to make data-driven decisions that drive operational excellence.

Why attend?

  • Understand how to extract meaningful insights from manufacturing data to enhance decision-making and operational efficiency.
  • Learn how AI / ML can be applied to establish control and reduce variations in manufacturing processes in real-time.
  • Explore strategies to improve process control and quality, ensuring consistent and high-quality production.

Speakers


Ajay Tomar

Practice Lead - Healthcare and Life Sciences,
SAS India

Healthcare and Life Sciences practice lead as part of the customer advisory group at SAS India. Over 25+ years of consulting experience in engineering, delivery, practice, and solutions across pharma R&D, manufacturing and commercial domains. Postgraduate in computer applications from Delhi University. His association with the Life Science domain goes back two decades when he started working as an eCRF database developer - late-stage trials for a global pharma. In his prior roles, he has built CDISC practice grounds up from zero to 150+ resources.


Dipen Shah

Vice President – Sales & Consulting Services
Nupeak IT Services Pvt. Ltd.

Dipen is the Vice President of Sales & Consulting Services at Nupeak. He is a SAS® Certified Expert with 12+ Years of Experience in driving SAS Implementations across variety of sectors. He possesses in-depth exposure from entry-level to expert-level on technical strategy deliberation, data analytics, AI frameworks, ML-based Implementation methodologies, IoT based Analytics Solution Execution. His expert consultation knowledge & collaboration with cross-functional teams, to detect potential use cases of Pharma Manufacturing, Utilities, and O&G Refineries industries where AI/ML Framework can create value, draw meaningful insights, help the Industry for Decision-making process & achieve Technical Excellence.

Dipen’s Overall Strategy Orchestration approach & Program Execution skills have helped many Pharma Manufacturing Cos. in developing and deploying AI models, ML algorithms, and best-fit use cases, which can ensure seamless integration of AI solutions into their existing workflows. The approach helps Pharma Manufacturers in aligning the vision of Manufacturing Innovation, Process Excellence, and Quality Yield.