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Next Generation Credit Decisioning with Decision Modeling

Decision Management Solutions

In the recent McKinsey article discussing designing next-generation credit-decisioning models they outlined four best practices for automated credit-decisioning models for banks as they continue their digital transformations. Digital lending based on high-performance credit-decisioning models, says McKinsey, lead to: Increased revenue.

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How Italian CIOs produce value with gen AI

CIO Business Intelligence

Creating new business models Gen AI is also unique in that it can generate useful business models. Having overcome the initial perplexity about ChatGPT, Maffei tested gen AI in coding activity and found great benefits. AI is the future for us,” says Maffei. Despite the progress, setbacks occurred.

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Lessons from the field: How Generative AI is shaping software development in 2023

CIO Business Intelligence

Since ChatGPT’s release in November of 2022, there have been countless conversations on the impact of similar large language models. If care is not taken in the intake process, there could be huge risks if that security scheme or other info are inadvertently pushed to generative AI, says Jim Kohl, Devops Consultant at GAIG.

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BNY Mellon’s Joseph Sieczkowski: cloud removes opportunity cost

CIO Business Intelligence

At CIO’s recent Future of Cloud Summit, John Gallant, enterprise consulting director with Foundry sat down with Sieczkowski to learn more about his cloud strategy, governance in the cloud, and leveraging cloud where it is most effective. Because when you can experiment, you can potentially enter a new business quickly, test an idea.

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You Don’t Have to Wait for AI, But You Should Plan Carefully!

Smarten

Create a Sandbox Environment If you are in the business of technology, you probably have a robust sandbox environment in which you can use new tools and leverage opportunities with test data to understand the value of tools like Azure OpenAI, GPT 3.x

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Adopting the 4 Step Data Science Lifecycle for Data Science Projects

Domino Data Lab

When you factor in the requirements of a business-critical machine learning model in a working enterprise environment, the old cat-herding meme won’t even get a smile. Develop: includes accessing and preparing data and algorithms, researching and development of models and experimentation. 4 Steps in the DSLC. Assess the Project.

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8 Reasons Why Digital Transformations Fail (11 CIOs Weigh In)

Alation

To remain relevant, organizations seek “ digital transformation ,” a business philosophy steeped in change and in which technology plays a heavy hand supporting business models and value propositions. These organizations use experimentation and constant market testing to learn and invest. But that future is already here.