A recent report from the MIT Work of the Future Task Force finds that companies are still in the "early stages of adoption" when it comes to incorporating new technology into their workflows, while a 2018 Pew Research Center study showed that 65-90% of surveyed people think human-held jobs will be replaced by robots and computers. When and how future workplaces will ultimately change remain unanswered, but Daniel Huttenlocher, inaugural dean of the MIT Stephen A. Schwarzman College of Computing, has some ideas. He spoke Dec. 2 at the MIT Technology Review Future Compute event in Cambridge, Massachusetts, and discussed the future of machines and the digital workforce. "I think it's very hard to predict the future and particularly hard to predict the positive outcomes of the future," said Huttenlocher, PhD '88. "It's a lot easier to see a technology and say'Gee, that looks like it's going to pose a risk for a particular form of employment' … than to envision some whole new type of work that is very hard to see because of the way that the technology is going to change."

Banks lost about $4 billion to account takeover (ATO) fraud attempts last year and the losses are set to further increase as this year progresses. ATO and other fraud methods that rely on using stolen credit card numbers or other personal information are becoming decidedly popular with bad actors, who are employing increasingly sophisticated technologies to execute their scams. The majority of ATO attacks are automated, meaning that fraudsters are becoming more comfortable utilizing advanced learning tools such as deep learning, artificial intelligence (AI) and machine learning (ML) to target financial institutions (FIs) and their customers. About 40 percent of all ATO attacks now count as high-risk, meaning banks of all shapes and sizes must reexamine how they think about data protection, security and the tools they use to guard against emerging threats. In the latest Digital Banking Tracker, PYMNTS analyzes the ways in which FIs are working to keep fraudsters from accessing customer information and funds on their mobile and digital channels. FIs worldwide are fending off fraudsters from all angles, with many FIs trying to prevent new attacks while still resolving the aftermath of others.

Banks lost about $4 billion to account takeover (ATO) fraud attempts last year and the losses are set to further increase as this year progresses. ATO and other fraud methods that rely on using stolen credit card numbers or other personal information are becoming decidedly popular with bad actors, who are employing increasingly sophisticated technologies to execute their scams. The majority of ATO attacks are automated, meaning that fraudsters are becoming more comfortable utilizing advanced learning tools such as deep learning, artificial intelligence (AI) and machine learning (ML) to target financial institutions (FIs) and their customers. About 40 percent of all ATO attacks now count as high-risk, meaning banks of all shapes and sizes must reexamine how they think about data protection, security and the tools they use to guard against emerging threats. In the latest Digital Banking Tracker, PYMNTS analyzes the ways in which FIs are working to keep fraudsters from accessing customer information and funds on their mobile and digital channels.

Banks lost about $4 billion to account takeover (ATO) fraud attempts last year and the losses are set to further increase as this year progresses. ATO and other fraud methods that rely on using stolen credit card numbers or other personal information are becoming decidedly popular with bad actors, who are employing increasingly sophisticated technologies to execute their scams. The majority of ATO attacks are automated, meaning that fraudsters are becoming more comfortable utilizing advanced learning tools such as deep learning, artificial intelligence (AI) and machine learning (ML) to target financial institutions (FIs) and their customers. About 40 percent of all ATO attacks now count as high-risk, meaning banks of all shapes and sizes must reexamine how they think about data protection, security and the tools they use to guard against emerging threats. In the latest Digital Banking Tracker, PYMNTS analyzes the ways in which FIs are working to keep fraudsters from accessing customer information and funds on their mobile and digital channels.