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Why is Everyone “AI Washing” Their Tech?

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Content provided by David Linthicum. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by David Linthicum or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.

What is "AI Washing"? 01:23 1. Definition: • "AI washing refers to rebranding or marketing cloud computing, or any enterprise technologies as AI technologies, even when the AI element is minimal or non-existent." 2. Historical Context: • "This is like earlier trends like 'greenwashing,' or ‘cloud washing,’ where companies overstate their environmental initiatives to appear more eco-friendly or rebrand any enterprise technology as a “cloud.” Benefits for Enterprise Technology Providers 03:49 1. Increased Market Appeal: • "Rebranding as AI can attract more customers keen on integrating cutting-edge technologies into their operations." 2. Higher Valuation: • "Companies branded as AI-driven often enjoy higher valuations, making it easier to attract investment and partnerships." 3. Enhanced Perception: • "AI is seen as the future of technology, so being associated with AI can enhance a company's reputation and perceived innovation." Downsides for Enterprise Technology Providers 05:20 1. Customer Distrust: • "If customers feel they're being misled, it can lead to a lack of trust and damage to the provider's reputation." 2. Regulatory Scrutiny: • "Increased scrutiny from regulators might occur if the AI claims are seen as deceptive or unsubstantiated." SEC is weighing in. 3. Increased Expectations: • "Rebranding as AI can set high expectations that can be difficult to meet, leading to customer dissatisfaction." Downsides for Enterprise Technology Customers 1. Misaligned Expectations: • "Customers may invest in technologies that don't deliver the promised AI functionalities, wasting resources and time." 2. Overpayment: • "Clients might end up paying premium prices for services that are just rebranded versions of traditional cloud solutions." 3. Complexity and Integration Issues: • "Integrating pseudo-AI technologies into existing workflows may lead to unnecessary complexity without significant benefits." How you can avoid. 06:54 1. Ask questions. 2. Check references. 3. Do research. 4. Ask: “Does is matter?” Conclusion 09:55 1. Balanced Perspective: • "While AI offers transformative potential, it's crucial for providers and customers to engage in transparent and informed discussions about what AI can truly deliver."

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56 episoade

Artwork
iconDistribuie
 
Manage episode 478240076 series 3660640
Content provided by David Linthicum. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by David Linthicum or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.

What is "AI Washing"? 01:23 1. Definition: • "AI washing refers to rebranding or marketing cloud computing, or any enterprise technologies as AI technologies, even when the AI element is minimal or non-existent." 2. Historical Context: • "This is like earlier trends like 'greenwashing,' or ‘cloud washing,’ where companies overstate their environmental initiatives to appear more eco-friendly or rebrand any enterprise technology as a “cloud.” Benefits for Enterprise Technology Providers 03:49 1. Increased Market Appeal: • "Rebranding as AI can attract more customers keen on integrating cutting-edge technologies into their operations." 2. Higher Valuation: • "Companies branded as AI-driven often enjoy higher valuations, making it easier to attract investment and partnerships." 3. Enhanced Perception: • "AI is seen as the future of technology, so being associated with AI can enhance a company's reputation and perceived innovation." Downsides for Enterprise Technology Providers 05:20 1. Customer Distrust: • "If customers feel they're being misled, it can lead to a lack of trust and damage to the provider's reputation." 2. Regulatory Scrutiny: • "Increased scrutiny from regulators might occur if the AI claims are seen as deceptive or unsubstantiated." SEC is weighing in. 3. Increased Expectations: • "Rebranding as AI can set high expectations that can be difficult to meet, leading to customer dissatisfaction." Downsides for Enterprise Technology Customers 1. Misaligned Expectations: • "Customers may invest in technologies that don't deliver the promised AI functionalities, wasting resources and time." 2. Overpayment: • "Clients might end up paying premium prices for services that are just rebranded versions of traditional cloud solutions." 3. Complexity and Integration Issues: • "Integrating pseudo-AI technologies into existing workflows may lead to unnecessary complexity without significant benefits." How you can avoid. 06:54 1. Ask questions. 2. Check references. 3. Do research. 4. Ask: “Does is matter?” Conclusion 09:55 1. Balanced Perspective: • "While AI offers transformative potential, it's crucial for providers and customers to engage in transparent and informed discussions about what AI can truly deliver."

  continue reading

56 episoade

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