You Ask, I Answer: Removing AI Bias by Removing Data?
Tammy asks, “There was a talk this week about AI and ML and I was disturbed by a claim a speaker made at the CXL conference. He basically asserted that we should not be concerned about bias being trained into AI because we can just ‘remove the variable...IBM THINK 2019 Wrapup Review
I’m back from IBM THINK 2019. Let’s look at the major highlights from a marketing and AI perspective. Key announcements: – Watson Anywhere – Watson OpenScale – Project Debater (and its implications) – Watson AutoAI What does it all...IBM THINK 2019 Day 3 Recap: Reducing Bias with IBM
In today’s IBM THINK 2019 Day 3 Recap, we look at the problem of bias in AI and machine learning, the three locations in the development process where bias can creep in, and how IBM helps us mitigate bias with two key products, Fairness 360 and IBM Watson...IBM THINK 2019 Day 2 Recap: The Next Frontier
In this video, learn 5 key takeaways from day 2 of IBM THINK 2019 on the topics of finding more AI/ML talent, the use of personas in an AI work, digital transformation and its relationship to AI, finding new opportunities for innovation, and perhaps the meaning of...IBM THINK 2019 Day 1 Recap: The Great Debate
In this video, catch a recap of IBM THINK 2019 day 1, including a blockchain digital twin example and a review of the #ProjectDebater results and its implications for businesses. I also spoke on Day 1 at IBM Champion Day on the 8C Framework for building digital...AI for Marketers Book
In this all-new, completely-rewritten 2nd Edition of AI for Marketers, learn:
- What AI is and isn't
- 5 practical applications of AI in marketing
- Key questions to ask of any vendor claims about AI
- How to prepare your company and your career for AI
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