DOWNLOAD NOW | The rapid emergence of Generative AI in 2023 has awakened in businesses the need to seriously consider their content strategy and data governance.
This paper will discuss the challenges organizations face with disorganized content as well as provide insights on solving those challenges as organizations seek to scale new heights of productivity with Generative AI.
Most organizations rely on office productivity suites like Microsoft 365 for content creation and collaboration, which often results in information chaos, leading to poor productivity, security risks, and missed opportunities for reusing organizational knowledge. While GenAI is seen as a solution, it requires well-curated content to be effective. To combat this, organizations must adopt best practices for data management, prioritize business impact, make informed technology choices, and ensure user engagement throughout the process.
Those who succeed in this endeavor will thrive in the new information economy by empowering knowledge workers and leveraging technology as a catalyst for growth.
A brief overview of what to expect from the white paper.
Organizational knowledge is hidden in document repositories
- How new knowledge gets created with Microsoft 365
- Why the "illusion of easy" leads to problems downstream
- What role do content processes play in creating and using knowledge?
We recognize the challenges but fail to find a solution
- End-user friction and the path of least resistance
- The inevitability: The build-versus-buy analysis
- Considering the whole IT landscape
- Generative AI alone won't solve the problem
Success means addressing three essential dimensions
- Focusing on the essentials for business impact
- Performing due diligence in choosing the right technology
- Generative AI: Getting your people on board
About the Author
Ville Somppi, SVP of Industry Solutions, M-Files
Ville Somppi has more than 20 years of experience defining, developing, and deploying technology solutions for knowledge intensive industries. At M-Files, Ville is in charge of understanding the needs of target industries and improving product-market fit. Ville holds a masters degree (MSc) in software engineering from Tampere University of Technology.
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