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Process and Digital Transformation: A Cross-Industry Framework for Scalable Impact

Digital transformation programs often stall because they treat technology as the solution rather than one part of it. This paper presents a cross-industry framework showing that sustainable transformation depends on aligning four elements: process excellence, governance, people, and technology.

Session details

Digital transformation programs often stall because they treat technology as the solution rather than one part of it. This paper presents a cross-industry framework showing that sustainable transformation depends on aligning four elements: process excellence, governance, people, and technology. Drawing on practitioner experience in process and digital transformation across domains and industries, the framework addresses how organizations can design transformation programs that are scalable, measurable, and sustainable beyond their initial sponsorship, and how they can prepare for emerging technologies such as generative AI and digital twins without adopting them prematurely. The paper offers a practical model for leading transformation initiatives, with illustrative examples spanning across AI Pilot and AI enabled enterprises, sepsis alerts in healthcare, classroom redesign in education, and production-line optimization in manufacturing, along with strategies for aligning people, processes, governance, data, and AI, and an analysis of pitfalls that recur across industries. Together, these help organizations ensure that measurable business value continues long after the transformation program itself has ended.

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Agenda facts

Format
Talk / Presentation
Kind
Conference Session
Topic
Artificial Intelligence and Machine Learning
Level
Intermediate
Time
Oct 29, 2026, 11:15 AM
Room
Founders Ballroom C West
Duration
60 min

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Digital transformation programs often stall because they treat technology as the solution rather than one part of it. This paper presents a cross-industry framework showing that sustainable transformation depends on aligning four elements: process excellence, governance, people, and technology. MITechCon 2026 runs October 29-30, 2026 at Oakland University. See the session details and share with your team: https://www.mitechcon.org/sessions/process-and-digital-transformation-a-cross-industry-framework-for-scalable-impact-2ba1/?utm_source=partner-kit&utm_medium=partner&utm_campaign=mitechcon-2026&utm_content=session-process-and-digital-transformation-a-cross-industry-framework-for-scalable-impact-2ba1 #MITechCon #MITechCon2026 #MichiganTech #AI

MediumUpdated 2026-09-24
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See "Process and Digital Transformation: A Cross-Industry Framework for Scalable Impact" at MITechCon 2026. Artificial Intelligence and Machine Learning session details: https://www.mitechcon.org/sessions/process-and-digital-transformation-a-cross-industry-framework-for-scalable-impact-2ba1/?utm_source=partner-kit&utm_medium=partner&utm_campaign=mitechcon-2026&utm_content=session-process-and-digital-transformation-a-cross-industry-framework-for-scalable-impact-2ba1 #MITechCon #MITechCon2026

ShortUpdated 2026-09-24
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Feature this MITechCon 2026 session in your newsletter or email: "Process and Digital Transformation: A Cross-Industry Framework for Scalable Impact". Digital transformation programs often stall because they treat technology as the solution rather than one part of it. This paper presents a cross-industry framework showing that sustainable transformation depends on aligning four elements: process excellence, governance, people, and technology. Format: Conference Session. Topic: Artificial Intelligence and Machine Learning. Level: Intermediate. Scheduled for Oct 29, 2026, 11:15 AM in Founders Ballroom C West. Learn more and share the session: https://www.mitechcon.org/sessions/process-and-digital-transformation-a-cross-industry-framework-for-scalable-impact-2ba1/?utm_source=partner-kit&utm_medium=partner&utm_campaign=mitechcon-2026&utm_content=session-process-and-digital-transformation-a-cross-industry-framework-for-scalable-impact-2ba1

MediumUpdated 2026-09-24

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