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Process Excellence: A transformational lever to extreme automation

IBM Services

All are transforming their procurement operations by leveraging state-of-the-art process mining and intelligent automation technology. For the first time, we can see intricate and complex processes clearly in action, identifying where they operate effectively and where they can best be simplified, optimized and automated.

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Modernizing mainframe applications with a boost from generative AI

IBM Services

And there’s no reason why mainframe applications wouldn’t benefit from agile development and smaller, incremental releases within a DevOps-style automated pipeline. The Intellyx take We are generally skeptical of most vendor claims about AI, as often they are simply automation by another name.

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How to accelerate your data monetization strategy with data products and AI

IBM Services

Why data monetization matters According to McKinsey in the Harvard Business Review , a single data product at a national US bank feeds 60 use cases in business applications, which eliminated $40M in losses and generates $60M incremental revenue annually. Realize : Each data service has an agreed unit of value which is transacted and measured.

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Hyper Intelligent Automation: The Strategic Gamechanger For Enterprises

Zinnov

by Nischay Mittal, Principal & Global Head — Automation/AI, Zinnov; Dushan Garg, Engagement Manager, Zinnov; Shreya Ghose, Marketing, Zinnov. What is Hyper Intelligent Automation/Hyperautomation. Types of Hyper Intelligent Automation/Hyperautomation. Benefits of Hyper Intelligent Automation/Hyperautomation.

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How to Clear Up Industry Cloud Confusion and Choose the Right Solution

Everest Group

Learn the important characteristics to look for from providers in this latest blog in our industry cloud series. Industry cloud offerings in banking and financial services. With so many industry cloud platforms available from different technology players, selecting the right solution for your enterprise is not simple.

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Critical Factors impacting BNPL Design and Rollout

Infosys Consulting

Co-authored by Ramki Natarajan. In a previous blog post , we discussed how Buy Now Pay Later (BNPL) forces banks to rethink their credit and payment portfolios. This blog will broadly explore what banks need to do to develop a BNPL offer and take it to market. should be derived from trusted third-party sources.

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Celebrating 40 years of Db2: Running the world’s mission critical workloads

IBM Services

Codd published his famous paper “ A Relational Model of Data for Large Shared Data Banks.” enhances data management through automated insights generation, self-tuning performance optimization and predictive analytics. Both services offer independent compute and storage scaling, high availability, and automated DBA tasks.