ai-at-scale leader
How to Successfully Scale Artificial Intelligence - The European Business Review
A few months ago, countries closed their borders, economies ground to a near standstill, employees became remote workers overnight, and everything we knew about doing business changed. Even today, we hear about "the new normal", "the great reset", and organizations are still required to demonstrate high agility to adapt in sudden changes in their market and region. For many organizations, global crises have historically represented a watershed moment. Those that adapt and pivot are able to turn adversity into advantage, whereas those that don't, risk failure. In this sense, COVID-19 is no different – accelerating several major business trends that were well underway before the outbreak began while forcing others to become obsolete.
- Information Technology (0.72)
- Health & Medicine > Therapeutic Area > Infections and Infectious Diseases (0.37)
- Health & Medicine > Therapeutic Area > Immunology (0.37)
Why AI Continues To Deliver Results In A Pandemic
These and many other insights are from Capgemini Research Institute's research of enterprises' AI pilot, production and spending during the pandemic provide insights into what differentiates AI-at-scale leaders versus organizations struggling to get results. The AI-powered enterprise: Unlocking the potential of AI at scale is based on 950 interviews with AI leaders in enterprises with annual revenues between $1B to $25B, distributed across 11 nations. The study was completed in March and April 2020. For additional details on the methodology, please see pages 31 and 32. Capgemini has made the report available for free download here (PDF, 40 pp, no opt-in).