
In episode 46 of the Data Modernization Minute, Wayne Sadin discusses generative artificial intelligence (AI) and what to consider while integrating it into your business.
This episode is sponsored by Acceleration Economy’s Digital CIO Summit, taking place April 4-6. Register for the free event here. Tune in to the event to hear from CIO practitioners discuss their modernization and growth strategies.
00:41 — Generative AI is getting a lot of hype, and Microsoft and Google are going to war about it, investing billions of dollars in the product. With the introduction of generative AI, the question of bias comes to the forefront.
01:18 — An unconscious bias can be in a training dataset, and executives should be aware of the possibility and focus on proper governance for AI to avoid it.
01:51 — There’s a rush to put out this technology that leaves room for lots of mistakes, including bias. “My concern,” Wayne says, “is that we’re moving very quickly into this technology.”
02:10 — Corporate users need to take a moment and think before they move into generative AI. They should ask themselves whether it supports their brand and messaging.
Want more insights into all things data? Visit the Data Modernization channel:

Why ChatGPT Means Knowledge Workers Must Create Net New Intellectual Capital
Google Cloud Turbocharges Generative AI Revolution
Generative AI Digital Summit
Why NLP, ChatGPT Require Guardrails and Content Moderation to Combat Bias
How Multimodal AI Systems and 'Smart Information' Will Shape the Future
Why CIOs and CFOs Should Consider ROI Before Implementing Generative AI
Road to CIO Summit: Christopher Lochhead on How ChatGPT Spawns a New Category
How to Consider the Security and Data Implications of Generative AI
How to Manage Data Security Risks Spawned by Generative AI
Why the Risk of Bias Calls for Governance Amid Generative AI's Rapid Uptake
AI and Hyperautomation Impact




