Mon.Apr 29, 2024

Remove modeling-risk
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The new CIO mandate: Selling AI to employees

CIO Business Intelligence

As organizations roll out AI applications and AI-enabled smartphones and devices, IT leaders may need to sell the benefits to employees or risk those investments falling short of business expectations. CIOs and CTOs must also set the rules of the road for using AI and navigate or mitigate potential risk and ethics issues, he says.

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Microsoft can’t keep up with demand for AI in the cloud — for now

CIO Business Intelligence

GitHub Copilot is still using a much smaller model,” Patel said. And although Microsoft may have lost out on a little revenue growth as a result of the capacity constraints, analysts said it is at no risk of losing new customers to its rivals. AWS and Google both have capacity issues as well.

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Dump the RFP to reap better outsourcing results

CIO Business Intelligence

Embracing a collaborative Request for Solution model transforms the procurement journey by incorporating a supplier “dialogue” phase where the buyer and supplier collaborate on the best possible solution. Stepping into this model means inviting suppliers to step up and present innovative solutions tailored to the buyer’s needs.

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Top 10 barriers to strategic IT success

CIO Business Intelligence

CIOs must redirect resources when technologies as revolutionary as generative AI come to market or risk falling behind or becoming obsolete — in which case, hitting other strategic goals won’t matter much. Ryan Downing, CIO of enterprise business solutions at Principal Financial Group, saw how this challenge impacted his organization.

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LLMOps for Your Data: Best Practices to Ensure Safety, Quality, and Cost

Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase

Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications. However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs.

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How fintech innovation is driving digital transformation for communities across the globe  

IBM Big Data Hub

Traditional credit report models use parameters such as the status of an active loan or credit card payment records to give an individual a credit score. However, with a more accurate model, such as one powered by AI, financial institutions can better identify applicants who are fit for credit.

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New Buyer's Guide for Supply Chain Network Design

Many companies are looking to redesign their supply chain network to lower costs, improve service levels and reduce risks in the new year. Scenario modeling is emerging as a key capability. To do this, teams are finding that they need to perform network assessments more regularly and in-house.

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Trusted AI 102: A Guide to Building Fair and Unbiased AI Systems

The risk of bias in artificial intelligence (AI) has been the source of much concern and debate. These risks undermine the underlying trust in AI and affect your organization’s ability to deliver successful AI projects, unhindered by potential ethical and reputational consequences.

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Supply Chain Network Design: The Ultimate Use Cases eBook

Modeling your base case. Modeling carbon costs. Network design for risk and resilience. Creating a strategic digital twin (digital representation) of your supply chain network. Optimizing your supply chain based on costs and service levels. Dealing with multiple capacity constraints. Diversifying sourcing and manufacturing.