Mind the Gap: Uniting Technical and Business Expertise to Deliver Profound Transformation with ML
In this session, Katie will explore the potential pitfalls of ML design and how to avoid them, and will showcase the importance of a human-centric approach to building an ethical and long-lasting AI strategy.
What you'll learn
Recent high-profile controversies around the user impact of biased or faulty AI have exposed common flaws at the design stage. In this session, Katie will explore the potential pitfalls of ML design and how to avoid them, and will showcase the importance of a human-centric approach to building an ethical and long-lasting AI strategy.
Table of contents
About the author
Big Data LDN (London) is a free to attend conference and exhibition, hosting leading data and analytics experts who are ready to equip you with the tools you need to deliver your most effective data-driven strategy. Discuss your business requirements with 130 leading technology vendors and consultants, hear from 150 expert speakers in 9 technical and business-led conference theaters, and network with thousands of fellow data experts.