Digitized organizations around the world generate massive amounts of consumer information and business statistics every second, and the need to disseminate this data and derive actionable insights from it has never been greater.
With its extensive capabilities, the global business ecosystem is moving to develop the infrastructure needed to handle the massive amounts of business data that cannot be analyzed by traditional business analytics models and tools. That’s where artificial intelligence (AI) comes in. AI is transforming business sectors with a wide range of uses, including aggregating enterprise data, developing personalized marketing strategies, and improving consumer experiences.
While AI continues to make progress in redefining business analytics, skepticism remains about adherence to tangible benefits from AI tools. So what are the obstacles to AI in the business sector?
Ren Zhang, Amazon’s Selling Partner and Director of Development Sciences, will attend the 3rd Annual Women in Data Science @ Penn Conference at the University of Pennsylvania on February 9-10, 2022 to help companies learn about the adoption and adoption of AI. We presented what she sees as the four biggest challenges she faces in scaling. :
