In the course of writing this book, we engaged with a number of experts in the field. We spoke with not only technical experts, such as machine learning engineers and data scientists, but also business leaders who have already taken the AI adoption journey. We asked each of our experts five similar questions, resulting in some interesting similarities and disparities among their perspectives. You are invited to glean whatever insights you may from the comparison of their responses.
Chris Ackerson
Chris Ackerson leads Product for Search and Artificial Intelligence at AlphaSense, where his team applies the latest innovations in machine learning and natural language processing (NLP) to the information discovery challenges of investment professionals and other knowledge workers. Before AlphaSense, Chris held roles in both product and engineering at IBM Watson where he led successful early commercialization efforts. He is based in New York City.
1. Given you have expertise with AI and how people interact with it, are there any insights or tips that you'd like to share?
AI development is a new and different form of software development requiring new tools, processes, and job roles. Building an effective AI development organization requires investment in each of these areas. My experience is that teams often focus too much on algorithm design and ...
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