What are the limits of AI? And how do you go from managing data points to injecting AI into the enterprise?
AI is mainstream these days. The attention it gets and the feelings it provokes cover the whole gamut: from hands-on technical to business, from social science to pop
culture, and from pragmatism to awe and bewilderment. Data and analytics are a prerequisite and an enabler for AI, and the boundaries between the two are getting
Many people and organizations from different backgrounds and with different goals are exploring these boundaries, and we’ve had the chance to converse with a couple of
prominent figures in analytics and AI who share their insights.
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