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DX Today | No-Hype Podcast About AI & DX
Rick Spair
227 episodes
2 days ago
Send us a text This briefing synthesizes research on the state of AI consulting and vendor performance, particularly within highly regulated industries such as finance and healthcare. The findings reveal a significant disconnect between the marketing promises of AI vendors and the reality of implementation, which is characterized by systemic risk and an extremely high rate of project failure. The evidence strongly supports a position of extreme skepticism toward unsubstantiated vendor claims.
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Send us a text This briefing synthesizes research on the state of AI consulting and vendor performance, particularly within highly regulated industries such as finance and healthcare. The findings reveal a significant disconnect between the marketing promises of AI vendors and the reality of implementation, which is characterized by systemic risk and an extremely high rate of project failure. The evidence strongly supports a position of extreme skepticism toward unsubstantiated vendor claims.
Show more...
Tech News
Technology,
News,
Business News
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⚖️ LLM Versus SLM: The Sustainability Race
DX Today | No-Hype Podcast About AI & DX
48 minutes
2 weeks ago
⚖️ LLM Versus SLM: The Sustainability Race
Send us a text The dichotomy between Large Language Models (LLMs) and Small Language Models (SLMs), examining the strategic, economic, and, most critically, the sustainability implications of each approach. It frames the LLM ecosystem as a centralized paradigm that requires massive, high-cost, resource-intensive hyperscale data centers, leading to immense operational burdens concerning energy consumption, water usage, and carbon emissions. Conversely, the SLM movement is presented as a decent...
DX Today | No-Hype Podcast About AI & DX
Send us a text This briefing synthesizes research on the state of AI consulting and vendor performance, particularly within highly regulated industries such as finance and healthcare. The findings reveal a significant disconnect between the marketing promises of AI vendors and the reality of implementation, which is characterized by systemic risk and an extremely high rate of project failure. The evidence strongly supports a position of extreme skepticism toward unsubstantiated vendor claims.