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Enterprise AI's Potential: Challenges, Pitfalls, & Future Predictions w/Joe Meersman
On this week’s episode of Make Sense, I sit down with Joe Meersman, a partner at The Collective and an adjunct professor at the University of Texas at Austin, where he teaches visual communication at the School of Design and Creative Technologies. He brings over 25 years of user experience and creative design expertise. discuss big companies' initiatives to adopt AI and the challenges and pitfalls of enterprise adoption.
We delve into the predictions for the future of AI, AI’s impact on the 2024 election results, and the implications of AI for everyday people and the need for human involvement in AI processes. Joe and I get into the various aspects of enterprise AI adoption and problem-solving to help make enterprise software suck less and explore the debate on AI awareness and consciousness, the two schools of thought on AI development, and the challenges of control and understanding of AI.
Timeline
00:00 Introduction
03:01 Crystal Ball: Predictions for AI
08:16 AI and Election Results
11:23 Copyright Cases and AI
18:35 Trough of Disillusionment
23:15 AI Still Needs a Human Chaperone
29:01 Debate on AI Awareness and Consciousness
30:15 Two Schools of Thought on AI Development
31:16 Control and Understanding of AI
32:13 AI's Ability to Connect the Dots
33:40 Garbage In, Garbage Out
34:07 Teaching and Demonstrating with AI
35:27 Inputs, Transforms, and Outputs
36:21 Training Data and User Interaction
39:00 AI's Prone to Hallucination
42:58 Problem Solving and Digital Transformation
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 week’s episode of Make Sense, I sit down with Joe Meersman, a partner at The Collective and an adjunct professor at the University of Texas at Austin, where he teaches visual communication at the School of Design and Creative Technologies. He brings over 25 years of user experience and creative design expertise. discuss big companies' initiatives to adopt AI and the challenges and pitfalls of enterprise adoption.
We delve into the predictions for the future of AI, AI’s impact on the 2024 election results, and the implications of AI for everyday people and the need for human involvement in AI processes. Joe and I get into the various aspects of enterprise AI adoption and problem-solving to help make enterprise software suck less and explore the debate on AI awareness and consciousness, the two schools of thought on AI development, and the challenges of control and understanding of AI.
Timeline
00:00 Introduction
03:01 Crystal Ball: Predictions for AI
08:16 AI and Election Results
11:23 Copyright Cases and AI
18:35 Trough of Disillusionment
23:15 AI Still Needs a Human Chaperone
29:01 Debate on AI Awareness and Consciousness
30:15 Two Schools of Thought on AI Development
31:16 Control and Understanding of AI
32:13 AI's Ability to Connect the Dots
33:40 Garbage In, Garbage Out
34:07 Teaching and Demonstrating with AI
35:27 Inputs, Transforms, and Outputs
36:21 Training Data and User Interaction
39:00 AI's Prone to Hallucination
42:58 Problem Solving and Digital Transformation
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.