How midsize companies can compete in AI

Yannick Bammens; Paul Hünermund

How midsize companies can compete in AI

Organisation,Strategy & Entrepreneurship

Research output: Non-textual / digital / web - outputs › Web publication/site › Professional

Abstract

Artificial intelligence (AI) as an upcoming general-purpose technology is poised to create many new business opportunities and to disrupt entire industries. Startups and large corporations are seizing AI opportunities and strengthening their position. But what about midsize companies that often lack access to big data and AI talent? These midsize firms risk being left behind in the age of AI. As a remedy, these firms should consider pooling their data and talent in joint AI ventures.

Original language	English
Publisher	Harvard Business School Publishing
Media of output	Online
Publication status	Published - 6 Sept 2021

Access to Document

https://hbr.org/2021/09/how-midsize-companies-can-compete-in-ai

Cite this

@misc{523e949e931b457693d5eabae7bfa023,

title = "How midsize companies can compete in AI",

abstract = "Artificial intelligence (AI) as an upcoming general-purpose technology is poised to create many new business opportunities and to disrupt entire industries. Startups and large corporations are seizing AI opportunities and strengthening their position. But what about midsize companies that often lack access to big data and AI talent? These midsize firms risk being left behind in the age of AI. As a remedy, these firms should consider pooling their data and talent in joint AI ventures.",

author = "Yannick Bammens and Paul H{\"u}nermund",

note = "2019 German Community Innovation Survey data collected and controlled by ZEW (DE)",

year = "2021",

month = sep,

day = "6",

language = "English",

publisher = "Harvard Business School Publishing",

address = "United States",

}

TY - ADVS

T1 - How midsize companies can compete in AI

AU - Bammens, Yannick

AU - Hünermund, Paul

N1 - 2019 German Community Innovation Survey data collected and controlled by ZEW (DE)

PY - 2021/9/6

Y1 - 2021/9/6

N2 - Artificial intelligence (AI) as an upcoming general-purpose technology is poised to create many new business opportunities and to disrupt entire industries. Startups and large corporations are seizing AI opportunities and strengthening their position. But what about midsize companies that often lack access to big data and AI talent? These midsize firms risk being left behind in the age of AI. As a remedy, these firms should consider pooling their data and talent in joint AI ventures.

AB - Artificial intelligence (AI) as an upcoming general-purpose technology is poised to create many new business opportunities and to disrupt entire industries. Startups and large corporations are seizing AI opportunities and strengthening their position. But what about midsize companies that often lack access to big data and AI talent? These midsize firms risk being left behind in the age of AI. As a remedy, these firms should consider pooling their data and talent in joint AI ventures.

M3 - Web publication/site

PB - Harvard Business School Publishing

ER -