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The Current Challenges of Enterprise Software and how AI Can Help Improve It with Lauren Maffeo
On this episode of Make Sense, Lindsay T. sits down with Lauren Maffeo, Senior Service Designer at Steampunk and Author of "Designing Data Governance from the Ground Up", to discuss the disconnect between the hype around AI and the reality of its impact on work. They explore topics from the fear of #ai taking #jobs, the need for better AI #guardrails and data encryption, and the importance of data comprehension over accumulation. Lauren shares her journey from being a journalist, to an award-winning author, to a thought leader in data, AI, and innovation. You won't want to miss her tips if you're an aspiring #writer wanting to get into the #tech industry.
The conversation then focuses on the question of "why does enterprise software suck?" They discuss the challenges like the lack of investment and poor user experience and how implementing AI can help improve these issues as long as organizations have clear business requirements and data governance practices before implementing.
Show Notes
00:00 Introduction and Overview
02:54 The Fear of AI Taking Jobs
10:30 Prioritizing Data Comprehension over Accumulation
15:07 The Importance of Data Governance and Involving Stakeholders
31:55 The Problems with Enterprise Software
33:52 The Role of AI in Improving Enterprise Software
43:47 The Power of Incremental Improvements in Enterprise AI
Make Sense is a video-first podcast that simplifies complex issues at the intersection of tech & people. Whether you’re ready for the robot takeover or want to delete all your socials, I’m here to help you make sense of what’s going on so we can design the human experience into the future.
Top 10 Clips from the first 30 episodes! Dive into the most insightful clips without having to watch full episodes by visiting LindsayT.com/MS-Top10.
View all episodes
By Lindsay TabasOn this episode of Make Sense, Lindsay T. sits down with Lauren Maffeo, Senior Service Designer at Steampunk and Author of "Designing Data Governance from the Ground Up", to discuss the disconnect between the hype around AI and the reality of its impact on work. They explore topics from the fear of #ai taking #jobs, the need for better AI #guardrails and data encryption, and the importance of data comprehension over accumulation. Lauren shares her journey from being a journalist, to an award-winning author, to a thought leader in data, AI, and innovation. You won't want to miss her tips if you're an aspiring #writer wanting to get into the #tech industry.
The conversation then focuses on the question of "why does enterprise software suck?" They discuss the challenges like the lack of investment and poor user experience and how implementing AI can help improve these issues as long as organizations have clear business requirements and data governance practices before implementing.
Show Notes
00:00 Introduction and Overview
02:54 The Fear of AI Taking Jobs
10:30 Prioritizing Data Comprehension over Accumulation
15:07 The Importance of Data Governance and Involving Stakeholders
31:55 The Problems with Enterprise Software
33:52 The Role of AI in Improving Enterprise Software
43:47 The Power of Incremental Improvements in Enterprise AI
Make Sense is a video-first podcast that simplifies complex issues at the intersection of tech & people. Whether you’re ready for the robot takeover or want to delete all your socials, I’m here to help you make sense of what’s going on so we can design the human experience into the future.
Top 10 Clips from the first 30 episodes! Dive into the most insightful clips without having to watch full episodes by visiting LindsayT.com/MS-Top10.