Every second of every day, digitized organizations across the globe generate an abundance of consumer information and business statistics, and the need to disseminate this data and derive actionable insights from it has never been greater.
With its far-reaching capabilities, the global business ecosystem is shifting to develop the infrastructure required to account for large volumes of business data, much of which cannot be analyzed through traditional business analytics models and tools. That’s where Artificial Intelligence (AI) comes into play. AI is transforming the business sector with its wide spectrum of applications, which can include aggregating corporate data, developing personalized marketing strategies, or improving consumer experiences.
Even though AI continues to make strides in redefining business analytics, skepticism remains surrounding the observance of tangible returns from AI tools. So, what’s holding AI back in the business sector?
Ren Zhang, Selling Partner and Director of Development Science at Amazon, joined the third annual Women in Data Science @ Penn conference on February 9-10, 2022, and offered what she views as the four largest challenges businesses face in adopting and scaling with AI:
