Even those companies that have mature governance practices in place are facing new challenges wrought by the rapid and broad adoption of AI. Further, large companies in less-regulated industries may be especially vulnerable to new risks that stem from wide use of AI technology.
In recent years, the banking industry has been at the forefront of AI and ML adoption. A recent survey by Deloitte Insights shows 70% of all financial services firms use machine learning to manage cash flow, determine credit scores, and protect against cybercrime.
Digital twin technology continues to be adopted by manufacturing industries to support business strategy and gain efficiencies in operations and customer service.
Getting models into production can be difficult, but that isn’t the only challenge you will face with machine learning models throughout their lifetime. Once the model has made it into production, it must be monitored in order to ensure that everything is working properly.
Jun Wu, Forbes – November 16, 2020 This year, despite the challenges from the Covid-19 pandemic, large corporations in the financial industry are operationalizing their
Stu Bailey, Forbes – November 18, 2020 For some industries, the use of AI and machine learning models is novel, but several industries—consumer finance and
Even those companies that have mature governance practices in place are facing new challenges wrought by the rapid and broad adoption of AI. Further, large companies in less-regulated industries may be especially vulnerable to new risks that stem from wide use of AI technology.
In recent years, the banking industry has been at the forefront of AI and ML adoption. A recent survey by Deloitte Insights shows 70% of all financial services firms use machine learning to manage cash flow, determine credit scores, and protect against cybercrime.
Digital twin technology continues to be adopted by manufacturing industries to support business strategy and gain efficiencies in operations and customer service.
Getting models into production can be difficult, but that isn’t the only challenge you will face with machine learning models throughout their lifetime. Once the model has made it into production, it must be monitored in order to ensure that everything is working properly.
Jun Wu, Forbes – November 16, 2020 This year, despite the challenges from the Covid-19 pandemic, large corporations in the financial industry are operationalizing their
Stu Bailey, Forbes – November 18, 2020 For some industries, the use of AI and machine learning models is novel, but several industries—consumer finance and