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IBM has breathed fresh air into the world of technology by unleashing z16, a versatile next-gen system that will be the game changer in the financial and cybersecurity services across the world. 

This innovation is designed to enable clients to analyze real-time transactions, at scale; for mission-critical workloads such as credit card, healthcare and financial transactions. Building on IBM’s history of security leadership, the invention is also  designed to help protect against near-future threats that might be used to crack today’s encryption technologies. 

BM innovations, including the IBM z16, have formed the technology backbone of the global economy for decades. Today’s modern IBM mainframe is central to hybrid cloud environments, valued by two thirds of the Fortune 100, 45 of the world’s top 50 banks, 8 of the top 10 insurers, 7 of the top 10 global retailers and 8 out of the top 10 telcos as a highly secured platform for running their most mission critical workloads. 

Julia Carvalho, General Manager of IBM Africa growth markets says that the innovation will be essential for African organisations’ growth. “IBM z16 is an essential component for organisations across the African continent as they accelerate their digital transformation journey. By simplifying hybrid cloud adoption, modernizing applications and keeping data safe, encrypted and resilient – clients can have the cloud they want, with the privacy and security they need,” said Carvalho.

“IBM z16 delivers breakthrough technologies for AI and cyber resiliency – making it a crucial platform for any digital transformation.” 

Real-time enterprise AI to revolutionize industries with new use cases and applications 

Financial institutions worldwide struggle with the impacts of fraudulent activities on their revenues and consumer interactions. IBM z16 uniquely brings together AI inferencing, via its IBM Telum Processor, with the highly secured and reliable high-volume transaction processing IBM is known for.  

For the first time, banks can analyse fraud during transactions on a massive scale: IBM z16 can process 300 billion inference requests per day with just one millisecond of latency. 

For consumers, this could mean reducing the time and energy required to handle fraudulent transactions on their credit card. For both merchants and card issuers, this could mean a reduction in revenue loss as consumers could avoid frustration associated with false declines where they might turn to other cards for future transactions. 

Other threats including tax fraud and organized retail theft are emerging as challenges for governments and businesses to control. Real-time payments and alternative payment methods like cryptocurrencies are pushing the limits on traditional fraud detection techniques. Applying the new capabilities of IBM z16 to other industries can help create an entirely new class of use cases, including:  Loan approval: to speed up approval of business or consumer loans;Clearing and settlement: to determine which trades and/or transactions may have a high-risk exposure before settlement; Federated learning for retail: to better model risk against fraud and theft.