Why You Need to Modernize Your IT Infrastructure for AI Adoption
AI adoption is on the rise. Companies undertake AI initiatives to gain an edge over competitors. According to Gartner, companies will increase their investment in AI to 35% of their IT budget by 2027.
Adopting AI requires that organizations modernize their IT infrastructure to meet increasing performance demands. To successfully perform AI processes, businesses need to accomplish greater computational throughput and accommodate higher data volumes.
Modernize Your Mainframe to Enable AI with IBM z17
Research from IBM found that 79% of IT leaders believe that the mainframe is an essential part of enabling AI-driven innovation and business value creation. However, companies need to update their mainframe infrastructure t o take advantage of AI.
To meet the need for AI capabilities in the mainframe, IBM has developed z17, the latest version of IBM Z Systems. Upgrading to z17 enables mainframe users to take advantage of integrated AI capabilities to gain deep insights from data and fulfill use cases in key industries, including finance and healthcare.
Meeting the Performance Needs of AI
IBM z17 is engineered to meet the performance demands of AI transactions while staying energy efficient. The z17 tech stack centers on the 5.5 GHz Telum II processor that can perform 450 billion inference operations per day with a 1 millisecond response time. Compared to z16, z17 achieves 7.5x the throughput using 8 AI processing units. Moving AI workloads to z17 enables mainframe users to use 83% less power, offsetting increases in energy consumption due to AI adoption.
Do More at the Core
IBM z17 leverages the IBM Telum II Processor and IBM Spyre Accelerator on PCIe Card to power AI use cases through multiple AI models. Predictive AI and large language models (LLMs) provide real-time, high-volume transaction processing. Z17 combines AI inferencing, assistants, and agents to transform and simplify the mainframe experience.
By drawing inferences from patterns in data at the scale of transaction volumes with enhanced precision and accuracy, z17 supports security use cases such as anomaly detection, fraud detection, and anti-money laundering efforts.
With IBM watsonx Assistant for Z and Code Assistant for Z, z17 users can accelerate application modernization, use AI-powered agents to increase productivity, and quickly onboard System Z skills. Assistants use contextual information to complete tasks based on requests. Agents draw on AI insights to reason, make decisions, and solve problems to help achieve business goals.
IBM z17 Industry Use Cases for AI
When companies run AI workloads on IBM z17, they can meet the needs of industry-specific use cases. Organizations in the financial services, insurance, retail, and healthcare industries benefit from the integrated AI capabilities of z17, including generative AI, predictive AI, and multiple model AI.
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- Real-Time Fraud Detection – Predictive AI enables financial institutions to detect fraud in real-time by scaling to meet high transaction volumes. Deploying both a predictive AI model and LLMs empowers insurance companies to analyze incoming claims to detect fraud.
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- Product Recommendations – Insurance companies can use AI to predict whether an offer will be accepted, increasing the rate of quote to conversion.
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- Inventory Management – With predictive AI, retailers can better manage their inventory by forecasting customer demand, enabling them to fulfill orders quickly.
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- Anti-Money Laundering (AML) – Multiple model AI enables financial organizations to screen instant payments for attempts at money laundering, protecting them against financial crimes and fines for non-compliance.
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- Medical Imaging Analysis – Encoder LLMs and convoluted neural network (CNN) AI models allow healthcare providers to detect anomalies in medical imaging scans while complying with patient privacy regulations.
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- Document Analysis – Z17 leverages the Spyre Accelerator and IBM watsonx Assistant for generative AI capabilities. With z17, companies can use AI assistants and automation to process financial documents. Generative AI enables organizations to search unstructured text for information and extract data needed for compliance audits.
How to Benefit from AI on IBM z17
Upgrading to IBM z17 provides many benefits to organizations in a variety of industries by enabling them to leverage AI capabilities. Organizations that move to z17 experience increased revenue, decreased risk, improved operational efficiency, and strengthened security.
At PSR, we focus on IBM Z Systems, meaning we are the ideal technology partner to help your company transition to z17, the cutting edge in IBM mainframe technology. Our team has the systems engineering and System Z expertise needed to develop and bring to life an AI strategy using z17. We can work with your company to identify AI use cases and put together next steps for fulfilling them with a z17 solution.
Get more details on the benefits of upgrading your mainframe to IBM z17. Visit the PSR website to explore z17.
