Viewpoints On Life Sciences

Guidance to help life sciences companies innovate to improve patients’ lives

Background image: Life Sciences Digital

Featured Viewpoints

Data Cloud/ Mountain Article: The Business Value of the Digital Thread
Digital Technology Transfer and Scale Up 2 Article: Unraveling the Complexity of Tech Transfer
Manufacturing Control Tower_Viewpoint Article: Make Better and Faster Decisions with a Manufacturing Control Tower
Implementing Data Quality Software_Viewpoint Article: Four Key Questions to Ask Before Implementing Data Quality Software
Remoteservice Article: Digital Service Transformation: Shift Service from a Cost Center to a Differentiator
A Iin Pharma3 Article: AI in Pharma: Emerging Use Cases Across the Value Chain
XR selecttherightdevice3 Article: How to Select the Right AR Device for Industrial Applications
AI fieldservice banner Article: How to Use AI to Augment Field Service Operations in Life Sciences

Most Recent Viewpoints

Dave Hadfield
Article: Supply Chain Resilience

by Dave Hadfield

Venkat Gopikanth
Article: Solving Today’s Complex Pharma Manufacturing Challenges with Digital

by Venkat Gopikanth

Dave Hadfield
Article: AI's Growing Influence on the Medical Device Company’s Value Chain

by Dave Hadfield

Ana Bostan 2018 1516683628286
Article: Fixing Siloed Design & Manufacturing Processes in the Medical Device Industry

by Ana Bostan and Manoj MP

Dave Hadfield
Article: Medical Robotics: The Future is Now

by Dave Hadfield

Dave Hadfield
Article: Technology Trends Continued: The Growth of Connected Devices and the Internet of Medical Things

by Dave Hadfield

Dave Hadfield
Article: Spotlight on Technology: Adoption of Artificial Intelligence in Medical Devices

by Dave Hadfield

Dave Hadfield
Article: Navigating Medical Device Industry Trends by Adopting the Digital Thread

by Dave Hadfield

Alex Rose Chris Barnes
Article: Selecting a Predictive Maintenance Use Case for Success

by Alexander Rose and Chris Barnes

Enrique Aldama Benjamin Arredondo
Article: Manufacturing Process Management within PLM

by Enrique Aldama and Benjamin Arredondo

Rod Walters 2015
Article: Data Driven Design Reuse and Part Rationalization Value Opportunity

by Rod Walters

Katherine Murphy Rodney Holmes
Article: IoMT in Healthcare

by Katherine Murphy and Rodney Holmes

Sachin Misra
Article: Unraveling the Complexity of Tech Transfer

by Sachin Misra

Marc Fowler Oval Benley Saint Jean Veda Deshpande
Article: Connecting the Digital Thread Across the Quality Lifecycle

by Marc Fowler, Benley Saint-Jean and Veda Deshpande

Jordan Reynolds 2018 Katherine Murphy
Article: How Non-Tech Companies Can Leverage AI

by Jordan Reynolds and Katherine Murphy

Rod Walters 2015
Article: The Business Value of the Digital Thread

by Rod Walters

Sachin Misra Ryan Fontanesi
Article: Make Better and Faster Decisions with a Manufacturing Control Tower

by Sachin Misra and Ryan Fontanesi

JP Romero Mayra Picture Max Huff
Article: Four Key Questions to Ask Before Implementing Data Quality Software

by JP Romero, Mayra Torres and Max Huff

Denil Thomas Ibukun Oni
Article: Digital Service Transformation: Lessons Learned from Field Service Medical 2021

by Denil Thomas and Ibukun Oni

Sachin Misra Marc Fowler Oval Maria Lowry 2016 Nick Ward 2016 Benjamin Arredondo
Article: Digital Knowledge Management: A Key Step on Pharma’s Journey to the Connected Enterprise

by Sachin Misra, Marc Fowler, Maria Lowry, Nick Ward and Benjamin Arredondo

Editors
Thomas Swigon
Thomas Swigon

Thomas is a consultant in Kalypso's PTC practice, based in Boston, Massachusetts. When he isn't helping clients build better digital capabilities, he enjoys hiking, board games, and rooting for the Pittsburgh Steelers.

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Anika headshot Anika Kapoor
Anika Kapoor

Anika is focused on the Model Based Enterprise(MBE) and Model Based Definition(MBD) helping customers achieve their Digital Transformation goals. With over 16 years of experience in driving engineering efficiency and process optimization she helps build digital solutions that significantly enhance operational performance and reduce costs.

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